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ac
to
r
s
f
o
r
MSD
an
d
th
e
d
ev
elo
p
m
e
n
t o
f
th
e
s
e
d
is
o
r
d
er
s
.
Ho
w
e
v
er
,
th
ese
i
n
j
u
r
ies
ca
n
b
e
p
r
ev
e
n
ted
b
y
tak
in
g
ap
p
r
o
p
r
iate
s
tep
s
to
elim
i
n
ate
o
r
r
ed
u
ce
th
e
ex
p
o
s
u
r
e
to
t
h
e
w
o
r
k
-
r
elate
d
r
is
k
f
ac
to
r
s
t
h
at
ca
n
m
i
n
i
m
ize
th
e
r
i
s
k
o
f
M
SDs
i
n
t
h
e
w
o
r
k
p
lace
an
d
t
h
e
n
t
h
e
p
r
ev
en
tio
n
ca
n
b
e
s
i
m
p
le
an
d
in
e
x
p
en
s
i
v
e
b
y
o
f
te
n
m
a
k
i
n
g
s
tr
aig
h
t
f
o
r
w
ar
d
a
n
d
b
asic
c
h
an
g
e
s
ca
n
r
ed
u
ce
MSD
r
is
k
s
s
ig
n
i
f
ica
n
tl
y
[
7
]
.
So
cial
Secu
r
it
y
Or
g
a
n
i
s
atio
n
(
S
OC
SO)
h
a
s
class
i
f
ied
o
cc
u
p
at
io
n
al
d
is
ea
s
es
i
n
to
h
ea
r
in
g
i
m
p
air
m
en
t,
m
u
s
c
u
lo
s
k
eleta
l
d
is
o
r
d
er
,
v
ib
r
atio
n
d
is
o
r
d
er
,
s
k
i
n
d
i
s
ea
s
es
an
d
o
cc
u
p
atio
n
a
l
asth
m
a
[
2
]
,
[
8
]
,
[
9
]
.
Statis
tic
o
f
in
d
u
s
tr
ial
ac
cid
e
n
ts
i
n
Ma
l
a
y
s
ia
r
ec
o
r
d
ed
5
7
,
6
3
9
ca
s
es
co
m
p
ar
ed
to
5
5
,
1
8
6
f
o
r
th
e
p
r
ev
io
u
s
y
ea
r
.
M
u
s
c
u
l
o
s
k
eleta
l
d
is
o
r
d
er
is
o
n
e
o
f
t
h
e
cr
itical
o
cc
u
p
atio
n
al
in
j
u
r
ies
an
d
d
is
ab
il
ities
.
I
n
2
0
0
6
,
it
s
h
o
w
ed
a
n
i
n
cr
e
m
e
n
t
o
f
1
7
4
%
f
r
o
m
3
1
to
8
5
ca
s
es
[
1
0
]
.
T
h
e
ef
f
ec
t
o
f
MSD
s
ca
n
b
e
p
r
o
g
r
ess
ed
f
r
o
m
m
ild
to
s
e
v
er
e
d
is
o
r
d
er
[
1
0
]
,
[
1
1
]
.
T
h
er
e
h
as b
ee
n
a
n
i
n
cr
ea
s
in
g
ef
f
o
r
t i
n
r
ec
en
t
y
ea
r
s
to
in
v
esti
g
ate
th
e
ca
u
s
e
s
o
f
MSD
s
a
n
d
to
ta
k
e
ac
tio
n
to
p
r
ev
en
t
th
e
m
.
I
n
o
r
d
er
to
p
r
ev
en
t
lo
w
b
ac
k
d
is
o
r
d
er
s
w
e
m
u
s
t
f
ir
s
t
u
n
d
er
s
ta
n
d
th
e
co
n
ce
p
t
a
n
d
m
e
th
o
d
th
a
t
ab
le
to
d
etec
t
th
e
s
y
m
p
to
m
s
th
at
w
ill
co
n
tr
ib
u
te
to
M
S
Ds
p
r
o
b
lem
.
T
h
i
s
liter
atu
r
e
r
ev
ie
w
p
r
o
v
id
es
n
e
w
i
n
s
ig
h
t
o
n
t
h
e
cr
itical
l
iter
at
u
r
e
an
d
is
s
u
e
s
th
a
t
h
a
v
e
co
n
tr
ib
u
ted
to
th
e
r
es
u
lts
o
f
p
r
ev
io
u
s
r
esear
c
h
to
b
ein
g
u
s
ed
as t
h
e
g
u
id
an
ce
f
o
r
th
e
f
u
tu
r
e
r
esear
ch
er
.
T
h
ese
ar
e
s
o
m
e
w
o
r
k
in
g
r
elat
ed
MSDs
b
y
v
ar
io
u
s
r
esear
ch
es
d
o
n
e
in
p
r
ev
io
u
s
y
ea
r
s
o
n
p
o
s
tu
r
es/
task
p
er
f
o
r
m
ed
a
n
d
t
y
p
e
o
f
an
al
y
s
i
s
o
f
MS
Ds.
I
t is s
u
m
m
ar
ized
in
T
ab
le
1
.
T
ab
le
1
.
P
o
s
tu
r
es/
tas
k
s
a
n
d
MSDs a
n
a
l
y
s
is
R
e
f
e
r
e
n
c
e
s
P
o
st
u
r
e
s/
T
a
sk
M
S
D
s a
n
a
l
y
si
s
S
t
a
r
o
v
o
y
t
o
v
a
.
D
[
7
]
A
w
k
w
a
r
d
p
o
st
u
r
e
s i
n
c
o
n
st
r
u
c
t
i
o
n
a
c
t
i
v
i
t
i
e
s
(
w
o
r
k
i
n
g
o
v
e
r
h
e
a
d
,
k
n
e
e
l
i
n
g
,
b
a
c
k
b
e
n
d
i
n
g
f
o
r
w
a
r
d
,
sq
u
a
t
t
i
n
g
,
n
e
c
k
b
e
n
d
i
n
g
,
r
e
a
c
h
i
n
g
)
M
a
c
h
i
n
e
-
o
p
e
r
a
t
o
r
s’
P
o
st
u
r
e
v
i
a
R
a
p
i
d
-
U
p
p
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r
-
L
i
mb
-
A
sse
ssm
e
n
t
(
R
U
L
A
)
Z
u
r
a
d
a
e
t
a
l
.
[
1
2
]
L
o
w
B
a
c
k
D
i
so
r
d
e
r
s (m
a
n
u
a
l
h
a
n
d
l
i
n
g
)
L
o
g
i
st
i
c
r
e
g
r
e
ssi
o
n
(
L
R
)
,
n
e
u
r
a
l
n
e
t
w
o
r
k
s
(NN),
k
-
n
e
a
r
e
st
n
e
i
g
h
b
o
r
(
k
N
N
)
,
d
e
c
i
si
o
n
t
r
e
e
s
(
D
T
)
,
a
n
d
r
a
n
d
o
m fo
r
e
st
(
R
F
)
S
.
K
.
D
a
s e
t
a
l
,
[
1
3
]
M
e
d
i
c
a
l
P
r
a
c
t
i
t
i
o
n
e
r
s (l
o
w
b
a
c
k
,
n
e
c
k
,
a
n
k
l
e
/
f
e
e
t
,
k
n
e
e
s,
u
p
p
e
r
b
a
c
k
,
s
h
o
u
l
d
e
r
s,
w
r
i
st
/
h
a
n
d
s)
B
o
d
y
c
o
mp
o
si
t
i
o
n
me
a
su
r
e
d
b
y
b
i
o
e
l
e
c
t
r
i
c
a
l
i
m
p
e
d
a
n
c
e
,
W
a
i
st
-
H
i
p
R
a
t
i
o
(
W
H
R
)
H
a
sh
i
m e
t
a
l
,
[
1
4
]
A
w
k
w
a
r
d
p
o
st
u
r
e
a
mo
n
g
w
o
r
k
e
r
s i
n
a
e
r
o
sp
a
c
e
i
n
d
u
st
r
y
(
p
u
s
h
-
p
u
l
l
)
R
a
p
i
d
-
U
p
p
e
r
-
L
i
mb
-
A
ss
e
ssm
e
n
t
(
R
U
L
A
)
G
h
o
sh
e
t
a
l
,
[
1
5
]
W
o
r
k
r
e
l
a
t
e
d
mu
s
c
u
l
o
sk
e
l
e
t
a
l
d
i
so
r
d
e
r
s a
n
d
b
a
c
k
mu
scl
e
f
a
t
i
g
u
e
a
mo
n
g
t
h
e
g
o
l
d
smit
h
s
o
f
I
n
d
i
a
(
N
e
c
h
,
L
o
w
B
a
c
k
,
W
r
i
st
,
S
h
o
u
l
d
e
r
R
a
p
i
d
-
U
p
p
e
r
-
L
i
mb
-
A
ss
e
ssm
e
n
t
(
R
U
L
A
)
N
u
r
h
a
y
a
t
i
e
t
a
l
,
[
1
6
]
U
p
p
e
r
L
i
mb
a
n
d
L
o
w
e
r
B
a
c
k
M
u
scl
e
A
c
t
i
v
i
t
y
D
u
r
i
n
g
P
r
o
l
o
n
g
e
d
S
i
t
t
i
n
g
M
a
x
i
m
u
m
V
o
l
u
n
t
a
r
y
C
o
n
t
r
a
c
t
i
o
n
(
M
V
C
)
,
S
t
a
t
i
st
i
c
a
l
A
n
a
l
y
si
s,
I
n
d
e
p
e
n
d
e
n
t
S
a
m
p
l
e
s
T
-
T
e
st
N
u
r
e
t
a
l
,
[
1
7
]
U
p
p
e
r
l
i
mb
a
n
d
l
o
w
e
r
b
a
c
k
m
u
scl
e
a
c
t
i
v
i
t
i
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s
(
r
i
g
h
t
a
n
d
l
e
f
t
L
e
v
a
t
o
r
S
c
a
p
u
l
a
e
,
U
p
p
e
r
T
r
a
p
e
z
i
u
s,
A
n
t
e
r
i
o
r
D
e
l
t
o
i
d
a
n
d
Er
e
c
t
o
r
S
p
i
n
a
e
)
M
a
x
i
m
u
m
V
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l
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n
t
a
r
y
C
o
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t
r
a
c
t
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n
(
M
V
C
)
,
I
n
d
e
p
e
n
d
e
n
t
S
a
m
p
l
e
s T
-
Te
st
S
h
a
i
r
e
t
a
l
,
[
1
8
]
U
p
p
e
r
l
i
mb
d
i
so
r
d
e
r
s (U
L
D
s)
,
M
a
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a
l
L
i
f
t
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g
T
i
me
D
i
st
r
i
b
u
t
i
o
n
(
T
D
)
,
F
r
e
q
u
e
n
c
y
D
i
st
r
i
b
u
t
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o
n
(
F
D
)
,
T
i
me
-
F
r
e
q
u
e
n
c
y
D
i
st
r
i
b
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t
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o
n
(
T
F
D
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,
L
i
n
e
a
r
TF
D
(
S
h
o
r
t
-
T
i
me
F
o
u
r
i
e
r
T
r
a
n
sf
o
r
m (S
TFT
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,
W
a
v
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a
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sf
o
r
m (W
T
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,
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sf
o
r
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B
i
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(
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g
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C
h
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W
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l
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a
m D
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s
t
r
i
b
u
t
i
o
n
(
C
W
D)
R
a
f
i
e
e
t
a
l
,
[
1
9
]
U
p
p
e
r
Ex
t
r
e
mi
t
y
M
u
sc
u
l
o
sk
e
l
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a
l
D
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so
r
d
e
r
s i
n
D
e
n
t
i
st
s
R
a
p
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d
-
U
p
p
e
r
-
L
i
mb
-
A
ss
e
ssm
e
n
t
(
R
U
L
A
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
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4752
I
n
d
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n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
11
,
No
.
3
,
Sep
tem
b
er
2
0
1
8
:
1
1
3
6
–
1
1
4
6
1138
1
.
2
.
E
lect
ro
m
y
o
g
ra
ph
y
Sig
na
l
T
h
e
m
ea
s
u
r
e
m
en
t
o
f
m
u
s
cle
s
ig
n
al
f
r
o
m
elec
tr
o
m
y
o
g
r
ap
h
y
(
E
MG
)
i
s
ab
le
to
ass
is
t
SOC
S
O
in
d
iag
n
o
s
e
MSD
s
p
r
o
b
lem
f
r
o
m
ea
r
lier
.
E
lectr
o
m
y
o
g
r
ap
h
y
(
E
MG
)
is
th
e
an
al
y
tical
s
t
u
d
y
o
f
elec
tr
ical
ac
tiv
it
y
p
r
o
d
u
ce
d
b
y
s
k
eleta
l
m
u
s
cle
s
[
2
0
]
.
I
t
w
ill
m
ea
s
u
r
e
t
h
e
elec
tr
i
ca
l p
o
ten
tial b
et
w
ee
n
th
e
s
u
r
f
ac
e
s
k
i
n
s
to
m
u
s
cle
co
n
tr
ac
tio
n
t
h
at
r
ep
r
esen
t
n
e
u
r
o
m
u
s
c
u
lar
ac
t
iv
i
ties
a
n
d
ea
s
i
er
to
u
s
e
i
n
r
esear
ch
o
n
p
h
y
s
i
o
lo
g
y
.
E
MG
s
i
g
n
a
l
ca
n
b
e
ca
p
t
u
r
ed
b
y
t
w
o
t
y
p
e
s
o
f
elec
tr
o
d
es
w
h
ic
h
ar
e
s
u
r
f
ac
e
(
n
o
n
-
in
v
a
s
iv
e)
an
d
i
n
tr
a
m
u
s
c
u
lar
f
in
e
w
ir
e
(
in
v
a
s
iv
e)
[
1
8
]
,
[
2
1
]
.
I
n
tr
a
m
u
s
cu
lar
f
in
e
w
ir
e
is
u
s
ed
to
r
ec
o
r
d
E
MG
s
ig
n
al
f
r
o
m
d
ee
p
m
u
s
cle,
h
o
w
e
v
er
,
is
r
eq
u
ir
es
n
ee
d
le
i
n
s
er
tio
n
i
n
to
th
e
m
u
s
cle
th
a
t
n
ee
d
cl
in
ica
l
ass
i
s
tan
t
a
n
d
ca
u
s
e
p
ain
to
t
h
e
s
u
b
j
ec
t.
On
t
h
e
co
n
tr
ar
y
,
s
u
r
f
ac
e
E
M
G
elec
tr
o
d
e
is
ea
s
y
to
ap
p
l
y
an
d
f
r
ee
f
r
o
m
p
ai
n
[
2
1
]
.
E
MG
s
ig
n
al
is
d
escr
ib
ed
b
y
it
s
a
m
p
lit
u
d
e
an
d
f
r
eq
u
e
n
c
y
.
T
h
e
s
ig
n
als
ar
e
co
m
p
licated
an
d
n
o
n
-
s
tatio
n
ar
y
s
ig
n
al
w
it
h
h
i
g
h
l
y
co
m
p
le
x
ti
m
e
an
d
f
r
eq
u
en
c
y
c
h
ar
ac
ter
is
tic
s
[
2
1
]
.
T
h
e
a
m
p
lit
u
d
e
o
f
E
M
G
s
ig
n
al
is
n
o
r
m
al
l
y
in
t
h
e
r
an
g
e
o
f
0
-
1
0
m
il
liv
o
lt
s
(
p
ea
k
-
to
-
p
ea
k
)
o
r
0
-
1
.
5
m
illi
v
o
lts
(
r
o
o
t m
ea
n
s
q
u
ar
e)
an
d
th
e
f
r
eq
u
en
c
y
is
f
r
o
m
0
-
5
0
0
Hz.
1
.
3
.
Sig
na
l f
ilte
ring
Sig
n
al
f
i
lter
in
g
is
an
i
m
p
o
r
tan
t
p
r
o
ce
s
s
th
at
r
em
o
v
es
s
o
m
e
u
n
w
an
ted
co
m
p
o
n
e
n
ts
o
f
f
ea
t
u
r
es
o
f
th
e
s
ig
n
al.
T
h
e
co
r
r
e
ct
f
ilter
s
e
tti
n
g
w
il
l
s
ig
n
i
f
ica
n
tl
y
i
m
p
r
o
v
e
t
h
e
v
i
s
ib
ilit
y
o
f
a
d
ef
ec
t
s
ig
n
al,
i
n
co
r
r
ec
t
s
etti
n
g
o
f
f
ilter
w
ill
d
is
to
r
t
th
e
s
i
g
n
al
p
r
esen
tat
io
n
th
e
n
d
ef
ec
t
th
e
s
ig
n
al
co
m
p
letel
y
.
Ge
n
er
all
y
,
a
f
ilter
w
ill
li
m
it
t
h
e
f
r
eq
u
en
c
y
s
p
ec
tr
u
m
o
f
r
ec
o
r
d
ed
s
ig
n
al
w
h
i
c
h
ar
e
n
o
r
m
al
l
y
co
m
p
r
is
ed
o
f
lo
w
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
t
an
d
r
e
m
o
v
e
h
i
g
h
p
ass
f
i
lter
.
Mo
s
t
o
f
th
e
s
t
u
d
ies
u
s
ed
f
r
eq
u
e
n
c
y
1
0
0
0
Hz
an
d
2
0
0
0
Hz
[
2
1
]
.
T
ab
le
2
is
s
h
o
w
s
t
h
e
lis
ts
o
f
s
a
m
p
l
in
g
f
r
eq
u
en
c
y
,
t
y
p
e
o
f
f
ilter
an
d
b
an
d
w
id
t
h
f
r
eq
u
en
cie
s
o
f
p
r
ev
io
u
s
r
esear
ch
e
s
f
o
r
a
f
e
w
y
ea
r
s
.
T
ab
le
2
.
Sam
p
li
n
g
f
r
eq
u
e
n
c
y
,
t
y
p
e
o
f
f
i
lter
an
d
b
an
d
w
id
th
R
e
f
e
r
e
n
c
e
s
Ty
p
e
s o
f
f
i
l
t
e
r
S
a
mp
l
i
n
g
f
r
e
q
u
e
n
c
y
,
f
s (H
z
)
B
a
n
d
w
i
d
t
h
(
H
z
)
K
a
r
t
h
i
c
k
e
t
a
l
,
[
2
2
]
B
u
t
t
e
r
w
o
r
t
h
f
i
l
t
e
r
1
0
0
0
0
10
-
4
0
0
A
man
d
a
e
t
a
l
,
[
2
3
]
B
a
n
d
s
t
o
p
f
i
l
t
e
r
1
0
0
0
0
-
5
0
0
G
u
r
man
i
k
e
t
a
l
,
[
2
4
]
B
a
n
d
p
a
ss
f
i
l
t
e
r
/
l
o
w
p
a
ss
2
0
k
/
8
0
0
0
3
0
0
0
-
1
0
k
Ed
w
a
r
d
e
t
a
l
,
[
2
5
]
B
a
n
d
p
a
ss
f
i
l
t
e
r
4
0
9
6
10
-
2
0
0
0
W
a
n
g
e
t
a
l
,
[
2
6
]
B
a
n
d
p
a
ss
f
i
l
t
e
r
1
0
0
0
10
-
5
0
0
I
sa.
H
e
t
a
l
,
[
2
7
]
B
a
n
d
p
a
ss
f
i
l
t
e
r
1
0
0
0
85
-
5
0
0
E.
G
o
k
g
o
z
e
t
a
l
,
[
2
8
]
H
i
g
h
a
n
d
l
o
w
p
a
ss
f
i
l
t
e
r
s
2
0
0
0
2
-
1
0
k
E.
S
h
a
i
r
e
t
a
l
,
[
2
9
]
L
o
w
p
a
ss fil
t
e
r
1
5
0
0
20
-
5
0
0
L
.
Est
r
a
d
a
e
t
a
l
.
,
[
3
0
]
L
o
w
p
a
ss fil
t
e
r
2
0
0
0
50
-
3
0
0
E
lectr
o
m
y
o
g
r
ap
h
y
(
E
MG
)
is
th
e
an
a
l
y
t
ical
s
tu
d
y
o
f
el
ec
tr
ical
ac
ti
v
it
y
p
r
o
d
u
ce
d
b
y
s
k
ele
ta
l
m
u
s
cles
[
2
0
]
.
B
y
ap
p
l
y
i
n
g
E
MG
elec
tr
o
d
es
to
ca
p
tu
r
e
t
h
e
d
ata,
it
is
ab
le
to
p
r
o
v
id
e
d
etailed
m
u
s
c
le’
s
in
f
o
r
m
atio
n
t
h
at
i
n
v
o
lv
e
in
m
u
s
c
u
lo
s
k
eleta
l d
i
s
o
r
d
er
,
th
u
s
,
w
il
l
h
elp
SO
C
SO
to
id
en
tify
t
h
e
e
x
ac
t p
r
o
b
le
m
f
o
r
th
eir
p
atien
t.
T
h
e
m
ea
s
u
r
e
m
e
n
t
o
f
m
u
s
cle
s
i
g
n
a
l
as
elec
tr
o
m
y
o
g
r
ap
h
y
(
E
MG
)
is
ab
le
to
ass
is
t
S
OC
SO
f
o
r
d
iag
n
o
s
e
s
MSD
s
p
r
o
b
lem
s
.
2
.
SURF
ACE E
M
G
SI
G
N
AL
ANA
L
YS
I
S
Dig
ital
s
i
g
n
a
l
p
r
o
ce
s
s
in
g
o
r
s
ig
n
al
p
r
o
ce
s
s
i
n
g
is
co
n
ce
r
n
in
g
t
h
e
ex
tr
ac
t
io
n
o
f
f
ea
t
u
r
es
an
d
in
f
o
r
m
atio
n
f
r
o
m
m
ea
s
u
r
ed
r
aw
s
i
g
n
als.
I
t
h
as
b
ee
n
u
s
ed
in
m
an
y
ap
p
licatio
n
s
s
u
c
h
as
r
ad
ar
,
co
m
m
u
n
icatio
n
an
d
m
u
l
ti
m
ed
ia,
m
ed
ical
i
m
a
g
in
g
,
s
p
ee
ch
g
e
n
er
atio
n
an
d
r
ec
o
g
n
itio
n
,
a
n
d
d
ata
co
m
p
r
es
s
io
n
.
E
MG
s
i
g
n
al
i
s
ac
q
u
ir
ed
f
r
o
m
t
h
e
m
u
s
cle
s
t
h
at
r
eq
u
ir
ed
ad
v
an
ce
d
m
et
h
o
d
s
f
o
r
d
etec
tio
n
,
d
ec
o
m
p
o
s
itio
n
,
p
r
o
ce
s
s
in
g
,
a
n
d
class
i
f
icatio
n
o
f
th
e
s
i
g
n
al
[
3
1
]
.
T
im
e
-
f
r
eq
u
en
c
y
r
ep
r
ese
n
tatio
n
h
a
s
r
ec
ei
v
ed
co
n
s
id
e
r
ab
le
atten
tio
n
as
a
p
o
w
er
f
u
l
h
i
g
h
r
eso
lu
tio
n
an
d
p
r
ec
is
io
n
to
o
l
f
o
r
an
al
y
s
i
n
g
a
v
ar
iet
y
o
f
b
io
-
s
ig
n
al
s
an
d
s
y
s
te
m
s
u
c
h
as
E
C
G
,
E
E
G
an
d
E
MG
.
T
h
er
e
ar
e
s
ev
er
al
p
ar
ts
o
f
s
ig
n
al
p
r
o
ce
s
s
i
n
g
tec
h
n
iq
u
es
to
an
al
y
s
e
t
h
e
E
M
G
s
ig
n
al.
E
M
G
s
i
g
n
a
l
i
s
o
n
e
o
f
t
h
e
b
io
s
ig
n
al
w
h
ic
h
ar
e
th
e
cr
it
ical
p
ar
t
o
f
b
io
m
ed
i
ca
l
en
g
i
n
ee
r
in
g
to
b
e
p
r
o
ce
s
s
ed
an
d
clas
s
if
y
th
e
s
ig
n
al
’
s
i
n
f
o
r
m
atio
n
[
1
8
]
.
Su
r
f
ac
e
E
MG
s
i
g
n
als
ca
n
b
e
p
r
o
ce
s
s
ed
i
n
t
h
r
ee
d
o
m
ai
n
s
,
w
h
ic
h
ar
e
t
i
m
e
d
o
m
ai
n
,
f
r
eq
u
en
c
y
d
o
m
ain
an
d
ti
m
e
-
f
r
eq
u
en
c
y
d
o
m
ai
n
.
T
h
e
d
if
f
er
e
n
tiatio
n
o
f
th
e
s
i
g
n
al
w
i
ll
d
e
cid
ed
w
h
at
t
y
p
e
o
f
d
o
m
ai
n
s
u
itab
le
an
d
ef
f
icie
n
t
to
u
s
e
f
o
r
th
e
s
ig
n
al
s
.
T
h
e
m
at
h
e
m
a
tical
f
u
n
ctio
n
s
in
t
h
e
ti
m
e
d
o
m
ain
a
n
d
f
r
eq
u
en
c
y
d
o
m
ai
n
ar
e
u
s
u
al
l
y
u
s
ed
as
a
d
i
m
en
s
io
n
al
it
y
r
ed
u
ctio
n
m
et
h
o
d
f
o
r
ti
m
e
-
f
r
eq
u
en
c
y
d
o
m
ai
n
f
ea
t
u
r
es [
2
1
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
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n
J
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&
C
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m
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2502
-
4752
A
R
ev
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f E
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myo
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a
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S
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(
T.
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Ten
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1139
2
.
1
.
T
i
m
e
do
m
a
i
n f
ea
t
ures
T
im
e
d
o
m
ain
i
n
f
o
r
m
atio
n
is
o
b
tain
ed
f
r
o
m
r
a
w
s
i
g
n
al
in
ti
m
e
r
ep
r
esen
tatio
n
.
T
h
e
ex
tr
ac
tio
n
o
f
f
ea
t
u
r
es
is
u
s
u
all
y
q
u
ic
k
an
d
ea
s
y
to
b
e
im
p
le
m
en
ted
b
ec
au
s
e
it
in
v
o
lv
e
s
s
i
m
p
le
m
at
h
e
m
a
t
ical
p
r
o
p
e
r
ties
an
d
d
o
n
o
t
n
ee
d
a
n
y
tr
an
s
f
o
r
m
atio
n
b
ased
o
n
r
a
w
E
MG
in
ti
m
e
in
f
o
r
m
atio
n
.
I
n
h
as
w
id
el
y
u
s
ed
o
n
b
o
th
m
ed
ical
an
d
en
g
i
n
ee
r
in
g
r
esear
ch
a
n
d
p
r
ac
tices
d
u
e
to
th
eir
lo
w
co
m
p
u
tatio
n
al
co
m
p
le
x
it
y
a
n
d
th
e
lo
w
n
o
is
e
en
v
ir
o
n
m
e
n
t,
h
o
w
e
v
er
,
th
i
s
m
eth
o
d
h
as
t
h
e
m
aj
o
r
d
is
ad
v
an
tag
e
o
f
f
ea
tu
r
e
s
E
MG
s
i
g
n
al
w
h
ic
h
co
m
es
f
r
o
m
n
o
n
-
s
tat
io
n
ar
y
s
i
g
n
al
w
i
th
c
h
a
n
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i
n
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i
n
s
tati
s
tical
p
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p
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b
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t
t
h
e
ti
m
e
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ai
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ass
u
m
es
t
h
e
d
ata
in
s
tatio
n
ar
y
s
i
g
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al
[
2
1
]
,
[
3
2
]
.
T
a
b
le
3
s
h
o
w
s
th
e
co
m
m
o
n
e
x
tr
ac
ted
f
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t
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f
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r
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s
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al
y
s
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ti
m
e
d
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m
ai
n
i
n
f
o
r
m
atio
n
.
T
ab
le
3
.
C
o
m
m
o
n
f
ea
t
u
r
es e
x
t
r
ac
t o
f
E
MG
s
ig
n
al
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n
ti
m
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d
o
m
ai
n
F
e
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t
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M
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q
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r
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(
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mal
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n
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t
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n
[
3
2
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F
a
t
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g
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e
f
e
a
t
u
r
e
s [3
5
]
I
EM
G
=
∑
|
|
R
o
o
t
M
e
a
n
S
q
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a
r
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(
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M
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t
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f
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d
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f
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e
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n
.
S
i
mi
l
a
r
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t
a
n
d
a
r
d
d
e
v
i
a
t
i
o
n
me
t
h
o
d
[
3
5
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [2
1
]
,
[
3
6
]
R
M
S
=
√
∑
M
e
a
n
A
b
so
l
u
t
e
V
a
l
u
e
(
M
A
V
)
D
e
t
e
c
t
i
o
n
o
f
t
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s
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r
f
a
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G
si
g
n
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p
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mb
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o
n
t
r
o
l
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [3
7
]
P
r
o
v
i
d
i
n
g
e
n
e
r
g
y
i
n
f
o
r
mat
i
o
n
M
A
V
=
∑
|
|
Z
e
r
o
c
r
o
ssi
n
g
M
e
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su
r
e
me
n
t
o
f
f
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q
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n
c
y
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n
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mat
i
o
n
o
f
EM
G
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [3
8
]
Z
C
=
∑
[
|
|
]
{
v
-
O
r
d
e
r
I
mp
l
i
c
i
t
l
y
e
st
i
mat
e
s
mu
scl
e
c
o
n
t
r
a
c
t
i
o
n
f
o
r
c
e
,
m
i
[
3
2
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [3
9
]
V
=
(
∑
)
L
o
g
d
e
t
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c
t
o
r
P
r
o
v
i
d
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mat
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mu
scl
e
c
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n
t
r
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c
t
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n
f
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c
e
[
3
2
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [4
0
]
L
O
G
=
∑
|
|
W
a
v
e
f
o
r
m
L
e
n
g
t
h
(
W
L
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G
si
g
n
a
l
F
a
t
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g
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f
e
a
t
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r
e
s [4
1
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H
a
v
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mp
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n
a
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c
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y
W
L
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∑
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i
l
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so
n
A
mp
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(
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A
M
P
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n
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f
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y
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n
f
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r
mat
i
o
n
a
b
o
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t
E
M
G
[
3
2
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [4
2
]
W
A
M
P
=
∑
[
|
|
]
{
S
l
o
p
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si
g
n
c
h
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S
S
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n
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c
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n
f
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mat
i
o
n
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f
EM
G
si
g
n
a
l
[
3
2
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n
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f
f
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t
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g
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e
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t
u
r
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s
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t
r
a
c
t
p
a
r
a
me
t
e
r
s
[
4
3
]
S
S
C
=
∑
[
[
]
]
{
2
.
2
.
F
re
qu
ency
do
m
a
in f
ea
t
ures
T
h
e
r
aw
s
ig
n
al
i
n
ti
m
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d
o
m
ai
n
s
h
o
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ld
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n
d
er
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o
Fo
u
r
ier
tr
an
s
f
o
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m
to
ch
a
n
g
e
f
r
o
m
ti
m
e
to
f
r
eq
u
en
c
y
d
o
m
ai
n
[
4
6
]
.
P
o
w
er
s
p
ec
tr
al
d
en
s
it
y
(
P
SD)
b
ec
o
m
e
s
a
m
aj
o
r
an
al
y
s
i
s
i
n
f
r
eq
u
e
n
c
y
d
o
m
ai
n
[
3
4
]
.
Mo
s
t
o
f
th
e
s
ig
n
al
s
h
av
e
to
c
h
an
g
e
f
r
o
m
ti
m
e
to
f
r
eq
u
e
n
c
y
i
n
f
o
r
m
ati
o
n
f
o
r
t
h
e
s
i
g
n
a
l
b
ein
g
an
al
y
s
ed
[
3
5
]
.
Fo
u
r
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an
al
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s
is
is
o
n
e
o
f
th
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m
o
s
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d
ely
u
s
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to
o
ls
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s
i
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p
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ce
s
s
i
n
g
[
4
5
]
,
[
4
6
]
.
I
t
is
m
ai
n
l
y
u
s
ed
to
ex
tr
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t
t
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ch
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f
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eq
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d
g
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p
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tatio
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d
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m
p
le
m
e
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tat
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p
o
in
t
o
f
v
ie
w
b
y
p
er
m
i
s
s
io
n
to
g
et
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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3
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r
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s
[
4
7
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[
4
8
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T
h
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s
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a
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is
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as [
4
4
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:
{
}
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(
1
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w
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t)
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f)
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d
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icate
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u
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th
e
p
o
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s
p
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tr
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s
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in
cr
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t
an
d
d
ec
r
ea
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h
i
g
h
co
m
p
o
n
en
t
[
2
1
]
.
T
w
o
co
m
m
o
n
a
n
d
g
e
n
er
all
y
f
ea
t
u
r
es
u
s
ed
i
n
P
SD
is
m
ea
n
f
r
eq
u
en
c
y
(
MN
F)
a
n
d
m
ed
ia
n
f
r
eq
u
en
c
y
(
MD
F)
to
d
eter
m
in
e
m
u
s
cle
f
a
tig
u
e.
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w
e
v
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e
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h
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iq
u
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a
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h
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m
itat
io
n
to
ca
ter
E
MG
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a
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r
w
it
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s
u
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s
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eq
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tatio
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s
i
g
n
al
f
o
r
th
e
ac
c
u
r
ate
r
esu
l
ts
[
3
2
]
.
T
ab
le
4
in
d
icate
s
th
e
co
m
m
o
n
f
ea
t
u
r
es p
r
o
p
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ed
in
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r
eq
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en
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y
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o
m
ain
i
n
f
o
r
m
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n
.
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ab
le
4
.
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m
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t
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es e
x
t
r
ac
t f
r
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E
MG
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n
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in
t
h
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f
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eq
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en
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y
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m
ain
F
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t
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r
e
s
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u
n
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t
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a
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E
q
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q
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M
N
F
)
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t
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s
a
b
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t
o
i
n
d
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c
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t
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n
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c
y
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l
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c
d
y
n
a
mi
c
s
[
2
1
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,
[
3
2
]
M
N
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d
e
c
r
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a
se
w
i
t
h
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n
c
r
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e
f
o
r
c
e
a
n
d
m
u
scl
e
f
a
t
i
g
u
e
[
4
7
]
,
[
4
9
]
M
N
F
=
∑
∑
f
j
i
s fr
e
q
u
e
n
c
y
o
f
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p
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,
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(
M
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t
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s
a
b
l
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n
d
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t
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c
y
c
l
i
c
d
y
n
a
mi
c
s
[
2
1
]
,
[
3
2
]
M
D
F
d
e
c
r
e
a
se
w
i
t
h
i
n
c
r
e
a
si
n
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U
n
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t
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mu
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f
o
r
c
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a
n
d
m
u
scl
e
f
a
t
i
g
u
e
[
5
0
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [5
1
]
∑
=
∑
∑
sp
e
c
t
r
u
m i
s
d
i
v
i
d
e
d
i
n
t
o
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w
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g
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o
n
s w
i
t
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e
q
u
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a
m
p
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d
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P
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k
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F
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F
r
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y
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i
c
h
t
h
e
max
i
mu
m
p
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e
r
o
c
c
u
r
s
[
3
2
]
F
a
t
i
g
u
e
f
e
a
t
u
r
e
s [5
2
]
P
K
F
=
max
(
)
,
j
=
1
,
……
.
,
M
M
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a
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(
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[
3
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a
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f
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a
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s [5
2
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M
N
P
=
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TT
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g
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[
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2
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T
TP =
∑
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p
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[
3
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F
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3
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F
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SM
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F
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R
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D
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)
[
3
2
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F
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=
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p
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[
3
2
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P
S
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f
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[
3
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]
V
C
F
=
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(
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
R
ev
iew
o
f E
lectro
myo
g
r
a
p
h
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S
ig
n
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Tech
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iq
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es f
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r
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(
T.
N
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S
.
Ten
g
ku
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w
a
w
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1141
2
.
3
.
T
i
m
e
-
f
re
qu
e
ncy
do
m
a
i
n
I
n
s
ig
n
al
p
r
o
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s
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in
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,
ti
m
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eq
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en
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is
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ib
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tio
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u
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tech
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d
f
r
eq
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e
n
c
y
r
ep
r
ese
n
tati
o
n
[
3
2
]
,
[
5
5
]
.
I
n
an
an
al
y
s
is
o
f
th
e
s
i
g
n
als,
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s
e
it
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d
f
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eq
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e
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y
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o
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m
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o
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th
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r
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,
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e
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s
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ib
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tio
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s
(
T
FDs
)
ar
e
ap
p
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o
p
r
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to
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al
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MG
s
ig
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o
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-
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eq
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en
c
y
co
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p
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t
s
s
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al
[
3
2
]
.
T
FDs
ar
e
b
r
o
ad
ly
class
if
ied
i
n
to
t
w
o
c
ateg
o
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ies
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h
ich
ar
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li
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ea
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d
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r
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FD.
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ab
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5
s
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m
a
tical
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ab
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5
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im
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p
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|
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|
W
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√
|
|
(
)
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a
n
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∫
|
|
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s
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n
(
C
W
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)
∬
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(
)
(
)
(
)
2
.
3
.
1
L
inea
r
T
i
m
e
-
F
re
q
uenc
y
Dsi
t
ributio
n (
T
F
D)
L
i
n
ea
r
T
FD
is
m
o
r
e
b
asic
f
o
r
m
co
m
p
ar
ed
to
b
ilin
ea
r
T
FD.
T
h
e
co
m
m
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n
tech
n
iq
u
e
s
u
s
ed
ar
e
Gab
o
r
,
Sh
o
r
t
-
ti
m
e
Fo
u
r
ier
T
r
an
s
f
o
r
m
(
ST
F
T
)
,
Sp
ec
tr
o
g
r
a
m
,
w
a
v
elet
tr
an
s
f
o
r
m
(
W
T
)
an
d
S
-
T
r
an
s
f
o
r
m
[
3
2
]
.
a)
Gab
o
r
Den
n
is
Gab
o
r
,
a
B
r
itis
h
p
h
y
s
icis
t,
s
u
g
g
e
s
ted
ex
p
a
n
d
in
g
a
s
ig
n
al
i
n
to
a
s
et
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f
f
u
n
ctio
n
s
th
at
ar
e
co
n
ce
n
tr
ated
in
b
o
th
t
h
e
ti
m
e
an
d
f
r
eq
u
e
n
c
y
d
o
m
ai
n
s
,
a
n
d
th
en
u
s
e
t
h
e
co
ef
f
icie
n
ts
a
s
th
e
d
escr
ip
tio
n
o
f
th
e
s
ig
n
al
’
s
lo
ca
l p
r
o
p
er
ty
[
5
6
]
Gab
o
r
tr
an
s
f
o
r
m
is
d
e
f
in
ed
as:
∫
(
2
)
w
h
er
e
x(
t
)
is
t
h
e
s
ig
n
al
u
n
d
er
an
al
y
s
is
a
n
d
h
(
n
,
k
)
is
th
e
s
et
o
f
ele
m
en
tar
y
f
u
n
ctio
n
a
n
d
is
d
ef
i
n
ed
as
:
(
3
)
w
h
er
e
)
(
t
w
is
th
e
o
b
s
er
v
atio
n
w
i
n
d
o
w
.
T
w
an
d
f
0
ar
e
th
e
ti
m
e
an
d
f
r
eq
u
en
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y
s
a
m
p
li
n
g
in
te
r
v
al
th
at
m
u
s
t
s
atis
f
y
th
e
Hei
s
en
b
er
g
u
n
ce
r
ta
in
t
y
r
ela
tio
n
[
5
5
]
,
[
5
6
]
.
4
1
0
f
T
w
(
4
)
b)
Sp
ec
tr
o
g
r
a
m
Sp
ec
tr
o
g
r
a
m
p
r
o
v
id
es
a
d
is
tr
ib
u
tio
n
o
f
en
er
g
y
s
i
g
n
al
in
ti
m
e
-
f
r
eq
u
en
c
y
d
i
s
tr
ib
u
tio
n
(
T
FR
)
w
h
ic
h
is
r
ep
r
esen
ted
in
t
h
r
ee
-
d
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m
en
s
io
n
al
o
f
t
h
e
s
i
g
n
al
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er
g
y
w
it
h
r
esp
ec
t
to
ti
m
e
an
d
f
r
eq
u
en
c
y
[
5
7
]
.
T
h
e
o
p
tim
u
m
f
r
eq
u
en
c
y
is
u
s
e
f
u
l
f
o
r
ex
tr
ac
tin
g
f
ea
tu
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e
s
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n
y
s
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s
f
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r
f
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r
t
h
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an
al
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s
is
,
i
n
cl
u
d
in
g
E
lect
r
o
m
y
o
g
r
ap
h
y
(
E
MG
)
s
ig
n
a
ls
[
5
8
]
.
T
h
is
tech
n
iq
u
e
is
r
o
u
g
h
l
y
r
ef
lecte
d
h
o
w
f
r
eq
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n
c
y
co
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te
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t
c
h
a
n
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e
s
o
v
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th
e
ti
m
e.
S
m
aller
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ize
w
in
d
o
w
p
r
o
d
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ce
s
b
etter
ti
m
e
r
eso
lu
tio
n
,
b
u
t
r
e
d
u
ce
s
f
r
eq
u
e
n
c
y
r
eso
lu
t
io
n
[
5
9
]
-
[
6
1
]
.
T
h
e
ch
o
s
en
w
i
n
d
o
w
w
id
th
h
as b
ee
n
m
ai
n
t
ain
ed
an
d
g
i
v
es
f
i
x
ed
f
r
eq
u
e
n
c
y
an
d
ti
m
e
r
eso
lu
t
io
n
f
o
r
all
f
r
eq
u
en
cie
s
[
4
4
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
11
,
No
.
3
,
Sep
tem
b
er
2
0
1
8
:
1
1
3
6
–
1
1
4
6
1142
T
h
e
eq
u
atio
n
o
f
s
p
ec
tr
o
g
r
a
m
i
s
as E
q
u
atio
n
5
.
|
∫
|
(
5
)
w
h
er
e
h(
)
is
th
e
in
p
u
t
s
ig
n
al
a
n
d
w
(
t)
is
th
e
w
in
d
o
w
o
b
s
er
v
ati
o
n
w
in
d
o
w
.
I
n
th
is
s
tu
d
y
,
H
an
n
in
g
w
in
d
o
w
is
s
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cte
d
b
e
ca
u
s
e
o
f
its
l
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w
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p
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s
i
d
e
s
l
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p
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w
h
ich
is
n
a
r
r
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w
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f
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t
to
p
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v
id
e
h
ig
h
e
r
ac
cu
r
a
cy
o
n
o
th
e
r
f
r
e
q
u
en
ci
es
ar
o
u
n
d
f
u
n
d
am
en
tal
v
a
lu
e
an
d
o
th
e
r
f
r
e
q
u
en
cy
c
o
m
p
o
n
en
ts
.
c)
W
av
e
let
T
r
an
s
f
o
r
m
(
W
T
)
W
av
elet
tr
an
s
f
o
r
m
(
W
T
)
is
o
n
e
o
f
th
e
ef
f
icie
n
t
m
at
h
e
m
atica
l
to
o
ls
f
o
r
lo
ca
l
a
n
al
y
s
i
s
o
f
n
o
n
-
s
tatio
n
ar
y
a
n
d
f
ast
-
tr
an
s
ie
n
t
s
i
g
n
al
s
.
W
T
is
a
n
o
th
er
lin
ea
r
T
FD
tec
h
n
iq
u
e
t
h
at
w
as
ex
p
lo
r
ed
w
id
el
y
i
n
v
ar
io
u
s
r
esear
ch
es
a
s
a
n
alter
n
ativ
e
to
ST
FT
[
6
2
]
.
T
h
is
m
et
h
o
d
h
as
i
m
p
r
o
v
ed
to
r
ev
ea
l
t
h
e
in
f
o
r
m
a
tio
n
t
h
at
t
h
e
s
ig
n
al
co
n
tain
s
b
o
th
in
ti
m
e
a
n
d
i
n
f
r
eq
u
en
c
y
to
a
n
al
y
s
e
t
h
e
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
als
[
5
9
]
.
W
T
f
u
n
ctio
n
s
b
y
s
h
i
f
ti
n
g
an
d
s
p
r
ea
d
in
g
th
e
m
o
th
er
w
a
v
elet
[
6
3
]
.
T
h
e
W
T
o
f
f
er
s
h
i
g
h
ti
m
e
r
eso
lu
t
io
n
f
o
r
h
i
g
h
f
r
eq
u
en
c
y
co
m
p
o
n
en
t
an
d
h
ig
h
f
r
eq
u
e
n
c
y
r
eso
l
u
tio
n
f
o
r
lo
w
f
r
eq
u
e
n
c
y
co
m
p
o
n
en
t
s
u
c
h
a
s
tr
a
n
s
ie
n
t
[
6
4
]
,
[
6
5
]
.
T
h
e
esti
m
at
io
n
p
r
o
v
id
ed
b
y
W
T
is
b
etter
ac
c
u
r
ac
y
an
d
p
r
ec
is
io
n
o
f
s
i
m
u
lated
d
ata
s
et
[
3
2
]
.
Ho
w
e
v
er
,
W
T
is
in
ca
p
ab
le
to
g
iv
e
an
ac
cu
r
ate
r
es
u
lt
u
n
d
er
n
o
is
e
co
n
d
itio
n
[
6
6
]
.
T
h
is
tec
h
n
iq
u
e
s
u
cc
e
s
s
f
u
l
to
u
s
e
f
o
r
E
MG
,
b
u
t
i
t
is
n
o
t
ca
p
ab
le
to
g
iv
e
th
e
in
f
o
r
m
a
tio
n
w
it
h
ef
f
ec
ti
v
el
y
.
T
h
is
i
s
b
ec
au
s
e
E
MG
s
i
g
n
al
ac
q
u
ir
e
n
o
is
e
w
h
ile
tr
av
el
lin
g
th
r
o
u
g
h
d
i
f
f
er
en
t
tis
s
u
e
in
th
e
h
u
m
a
n
b
o
d
y
[
3
1
]
.
B
u
t,
it is
d
i
f
f
er
en
t
w
it
h
co
n
ti
n
u
o
u
s
w
a
v
ele
t tr
an
s
f
o
r
m
(
C
W
T
)
th
at
ab
le
to
s
h
o
w
b
etter
p
er
f
o
r
m
i
n
g
i
n
e
x
tr
ac
ti
n
g
i
n
d
ices
in
t
i
m
e
-
f
r
eq
u
en
c
y
d
o
m
ai
n
[
3
2
]
.
I
n
an
al
y
s
is
,
it
's
ab
le
to
g
iv
e
co
m
p
ar
ab
le
f
at
ig
u
e
est
i
m
ate
s
in
i
s
o
m
etr
ic
s
an
d
d
y
n
a
m
ic
co
n
tr
ac
tio
n
s
.
∫
√
|
|
(
)
(
6
)
w
h
er
e
is
tr
an
s
la
ti
o
n
,
as
s
c
al
e
p
a
r
am
ete
r
an
d
is
th
e
m
o
th
e
r
w
av
ele
t.
d)
S
-
tr
a
n
s
f
o
r
m
S
-
tr
a
n
s
f
o
r
m
i
s
a
T
FR
t
h
at
k
n
o
w
n
f
o
r
its
lo
ca
l
s
p
ec
tr
al
p
h
ase
p
r
o
p
er
ties
w
h
er
e
it
is
a
n
e
x
te
n
s
io
n
id
ea
s
o
f
W
T
an
d
S
T
F
T
[
6
6
]
.
I
n
S
-
tr
an
s
f
o
r
m
tech
n
iq
u
es
,
th
e
f
r
eq
u
en
c
y
-
d
ep
en
d
en
t
w
i
n
d
o
w
allo
w
s
f
o
r
a
f
r
eq
u
en
c
y
-
d
ep
en
d
en
t
r
eso
lu
tio
n
w
it
h
n
ar
r
o
w
er
w
i
n
d
o
w
s
at
h
i
g
h
er
f
r
eq
u
en
cie
s
an
d
w
id
er
w
i
n
d
o
w
s
at
lo
w
er
f
r
eq
u
en
c
ies
[
6
7
]
.
I
t
u
n
iq
u
el
y
co
m
b
i
n
es
a
f
r
eq
u
en
c
y
-
d
ep
e
n
d
en
t
r
eso
lu
tio
n
th
at
s
i
m
u
l
tan
e
o
u
s
l
y
lo
ca
lize
s
th
e
r
ea
l a
n
d
i
m
a
g
in
ar
y
s
p
ec
tr
a.
T
h
e
S
-
tr
a
n
s
f
o
r
m
tec
h
n
iq
u
e
w
a
s
u
s
ed
i
n
m
a
n
y
ap
p
licatio
n
s
s
u
c
h
a
s
Geo
p
h
y
s
ic
s
,
B
io
m
ed
ica
l
E
n
g
i
n
ee
r
i
n
g
,
p
o
w
er
tr
an
s
f
o
r
m
er
p
r
o
tectio
n
,
p
o
w
er
q
u
alit
y
a
n
al
y
s
i
s
,
o
ce
an
o
g
r
ap
h
y
,
at
m
o
s
p
h
er
ic
p
h
y
s
ic
s
,
m
ed
icin
e,
h
y
d
r
o
g
eo
lo
g
y
a
n
d
m
ec
h
a
n
ical
e
n
g
i
n
ee
r
in
g
[
6
8
]
.
T
h
e
ad
v
an
tag
e
s
o
f
S
-
tr
a
n
s
f
o
r
m
ar
e
s
ca
lab
ilit
y
a
n
d
v
er
y
lo
w
s
en
s
iti
v
it
y
to
n
o
is
e
lev
els
[
6
9
]
.
T
h
e
f
ea
t
u
r
es
e
x
tr
ac
ted
f
r
o
m
t
h
e
S
-
tr
a
n
s
f
o
r
m
a
r
e
s
i
m
p
le
a
n
d
v
er
y
ef
f
ec
tiv
e
[
6
8
]
,
[
7
9
]
.
M
o
r
eo
v
er
,
th
is
tech
n
iq
u
e
p
r
o
v
id
es
m
u
l
t
ir
eso
lu
tio
n
a
n
al
y
s
i
s
w
h
ile
r
eta
in
i
n
g
t
h
e
ab
s
o
lu
te
p
h
ase
o
f
ea
ch
f
r
eq
u
e
n
c
y
[
6
8
]
,
[
7
1
]
.
I
n
ad
d
itio
n
,
th
e
S
-
tr
a
n
s
f
o
r
m
h
a
s
o
th
er
d
is
ad
v
an
tag
e
s
s
u
ch
as
i
ts
ac
c
u
r
ac
y
d
ep
en
d
s
o
n
th
e
ch
o
s
en
s
ize
o
f
th
e
w
i
n
d
o
w
s
,
s
en
s
iti
v
it
y
to
n
o
i
s
e
an
d
it
r
eq
u
ir
es
h
ig
h
er
co
m
p
lex
it
y
co
m
p
u
tatio
n
[
7
2
]
.
T
h
e
m
at
h
e
m
atica
l
f
o
r
m
u
la
f
o
r
S
-
T
r
an
s
f
o
r
m
is
ex
p
r
es
s
ed
as f
o
llo
w
s
:
∫
|
|
√
(
7
)
w
h
er
e
h
(
t
)
is
th
e
s
ig
n
al
an
d
g
(
)
is
a
w
in
d
o
w
f
u
n
ctio
n
.
W
in
d
o
w
s
f
u
n
cti
o
n
is
a
m
o
d
u
l
ate
d
G
au
s
s
ian
f
u
n
cti
o
n
ex
p
r
ess
e
d
b
y
:
√
|
|
(
8
)
2
.
3
.
2
B
ilin
ea
r
T
i
m
e
-
F
re
qu
en
cy
Dsi
t
ributio
n (
T
F
D)
Un
li
k
e
l
in
ea
r
ti
m
e
-
f
r
eq
u
e
n
c
y
tr
a
n
s
f
o
r
m
s
,
t
h
e
s
ig
n
al
ap
p
ea
r
s
t
w
ice
i
n
b
ilin
ea
r
ti
m
e
-
f
r
eq
u
en
c
y
tr
an
s
f
o
r
m
s
,
s
o
ca
lled
b
ilin
ea
r
tr
an
s
f
o
r
m
.
B
ili
n
ea
r
T
FD
co
u
ld
p
er
f
o
r
m
b
etter
t
h
an
t
h
e
li
n
e
ar
T
FD
d
u
e
to
th
e
f
ac
t
th
at
it
d
o
es
n
o
t
s
u
f
f
er
f
o
r
th
e
s
m
ea
r
i
n
g
e
f
f
ec
t
s
ca
u
s
e
b
y
w
i
n
d
o
w
in
g
f
u
n
ctio
n
.
Ho
wev
er
,
b
ilin
ea
r
T
FD
s
u
f
f
er
s
t
h
e
cr
o
s
s
ter
m
e
f
f
ec
t
s
o
r
ar
tif
ac
ts
w
h
ic
h
p
r
esen
t
in
th
e
m
id
w
a
y
b
et
w
ee
n
t
h
e
ac
tu
al
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
t
s
o
f
m
u
l
tico
m
p
o
n
en
t
s
ig
n
al
s
[
2
2
]
,
[
7
3
]
.
W
ig
n
er
-
Ville
d
i
s
tr
ib
u
tio
n
(
W
VD)
,
an
d
C
h
o
i
-
W
illi
a
m
s
d
is
tr
ib
u
tio
n
(
C
W
D)
ar
e
s
o
m
e
o
f
th
e
ti
m
e
-
f
r
eq
u
e
n
c
y
ap
p
r
o
ac
h
es
f
r
o
m
b
ilin
ea
r
T
FD
th
at
is
u
s
ed
f
o
r
E
M
G
s
ig
n
al
p
r
o
ce
s
s
i
n
g
[
3
1
]
.
T
h
at
is
th
e
r
ea
s
o
n
t
h
is
p
ap
er
is
th
e
f
o
cu
s
o
f
t
h
i
s
t
y
p
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’
s
o
f
b
ili
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r
m
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o
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Evaluation Warning : The document was created with Spire.PDF for Python.
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W
ig
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Vil
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tr
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(
W
VD)
W
ig
n
er
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Ville
d
i
s
tr
ib
u
tio
n
(
W
VD)
h
as
attr
ac
ted
m
u
c
h
atte
n
tio
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f
r
o
m
o
th
er
b
ili
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ea
r
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FD
b
ec
au
s
e
o
f
its
s
e
v
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al
d
esira
b
le
m
a
th
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m
a
tical
p
r
o
p
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ties
s
u
ch
as
p
r
eser
v
in
g
ti
m
e
an
d
f
r
eq
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e
n
c
y
m
ar
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in
a
ls
an
d
s
h
i
f
ts
.
I
t
o
f
f
er
s
a
h
ig
h
f
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eq
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en
c
y
r
e
s
o
lu
tio
n
,
b
u
t
s
til
l
cr
ea
tes
s
p
u
r
io
u
s
f
r
eq
u
en
c
y
i
n
f
o
r
m
ati
o
n
o
r
cr
o
s
s
-
ter
m
s
in
ter
f
er
e
n
ce
s
w
h
e
n
it
i
s
ap
p
lied
to
m
u
lti
-
co
m
p
o
n
e
n
t
s
i
g
n
al
s
[
7
4
]
.
T
h
e
jo
in
t
d
en
s
it
y
s
p
e
ctr
u
m
p
r
o
d
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b
y
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VD
ab
le
to
d
is
p
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v
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o
o
d
lo
ca
lizatio
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p
r
o
p
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ties
.
I
t
g
en
er
all
y
co
n
ce
n
tr
ated
ar
o
u
n
d
th
e
in
s
ta
n
ta
n
eo
u
s
f
r
eq
u
en
c
y
o
f
t
h
e
s
i
g
n
al,
b
u
t
i
t
is
v
er
y
n
o
is
y
[
3
1
]
.
Fu
r
th
er
m
o
r
e,
it
also
h
as
t
h
e
d
is
ad
v
a
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tag
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w
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ep
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o
f
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an
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g
o
f
f
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eq
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c
y
co
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p
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q
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(
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s
h
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f
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VD
as f
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(
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h
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a
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7
6
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,
[
7
7
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.
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ab
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ter
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an
d
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is
s
aid
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tel
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p
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[
7
4
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8
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B
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ac
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th
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s
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p
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n
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an
al
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f
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n
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ls
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o
n
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f
th
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m
o
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t
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m
p
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tan
t
p
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s
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is
t
o
ex
tr
ac
t
t
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itab
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f
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th
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f
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t
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ev
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p
licatio
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m
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tech
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ted
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t
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t p
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m
u
s
cle
s
t
h
at
w
ill co
n
tr
ib
u
te
to
MSD
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p
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s
.
ACK
NO
WL
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D
G
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M
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NT
T
h
is
w
o
r
k
is
s
u
p
er
f
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w
a
n
ted
to
ap
p
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th
e
M
in
is
ter
o
f
Hi
g
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d
u
ca
tio
n
(
MO
HE
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,
U
n
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v
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iti
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ek
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ik
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Ma
la
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lak
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d
UT
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Z
a
m
ala
h
Sc
h
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m
e,
Fac
u
lt
y
o
f
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lec
tr
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E
n
g
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o
f
Un
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s
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ek
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lak
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UT
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f
o
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f
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esear
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w
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9
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.
W
e
w
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ld
also
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ex
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s
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th
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s
p
ap
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p
ar
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d
v
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Dig
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l
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s
s
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Gr
o
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ADSP
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f
r
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m
t
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C
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tr
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o
f
R
o
b
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tic
&
I
n
d
u
s
tr
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I
n
f
o
r
m
atio
n
(
C
e
R
I
A)
,
f
o
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th
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co
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tr
ib
u
tio
n
a
n
d
s
u
g
g
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s
tio
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to
s
u
cc
es
s
f
u
l
l
y
co
m
p
lete
th
i
s
p
ap
er
.
RE
F
E
R
E
NC
E
S
[1
]
Da
n
e
sh
m
a
n
d
i,
Ha
d
i
,
A
.
R.
Ch
o
o
b
i
n
e
h
,
Ha
leh
G
h
a
e
m
,
M
e
h
d
i
A
lh
a
m
d
,
a
n
d
A
n
a
h
it
a
F
a
k
h
e
rp
o
u
r.
T
h
e
e
ff
e
c
t
o
f
mu
sc
u
lo
sk
e
leta
l
p
ro
b
lem
s
o
n
f
a
ti
g
u
e
a
n
d
p
ro
d
u
c
ti
v
it
y
o
f
o
ff
ice
p
e
rs
o
n
n
e
l:
a
c
ro
ss
-
se
c
ti
o
n
a
l
st
u
d
y
.
J
o
u
r
n
a
l
o
f
p
re
v
e
n
ti
v
e
m
e
d
icin
e
a
n
d
h
y
g
ien
e
.
2
0
1
7
;
5
8
(3
):
2
5
2
.
[2
]
M
u
ra
d
M
S
,
F
a
rn
w
o
rth
L
,
O'
Brien
L
.
R
e
li
a
b
il
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y
a
n
d
v
a
li
d
a
ti
o
n
p
ro
p
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rties
o
f
th
e
M
a
la
y
sia
n
la
n
g
u
a
g
e
v
e
rs
io
n
o
f
th
e
Oc
c
u
p
a
ti
o
n
a
l
S
e
lf
Asse
ss
me
n
t
v
e
rs
io
n
2
.
2
f
o
r
in
j
u
re
d
wo
rk
e
rs
wit
h
mu
sc
u
l
o
sk
e
leta
l
d
is
o
rd
e
rs
.
Bri
ti
sh
Jo
u
r
n
a
l
o
f
Oc
c
u
p
a
ti
o
n
a
l
T
h
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ra
p
y
.
M
a
y
2
0
1
1
;
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4
(
5
):
2
2
6
-
2
3
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
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d
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n
J
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C
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m
p
Sci,
Vo
l.
11
,
No
.
3
,
Sep
tem
b
er
2
0
1
8
:
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1
3
6
–
1
1
4
6
1144
[3
]
M
a
tt
,
M
.
T
h
e
De
fi
n
i
ti
o
n
a
n
d
Ca
u
se
s
o
f
M
u
sc
u
lo
sk
e
leta
l
Diso
rd
e
r
.
Erg
o
-
p
l
u
s.
A
v
a
il
a
b
le
a
t:
h
tt
p
:/
/erg
o
-
p
lu
s.co
m
/m
u
sc
u
lo
sk
e
leta
l
-
d
iso
rd
e
rs
-
m
sd
/
[
A
c
c
e
ss
e
d
o
n
1
3
A
p
ril
2
0
1
8
]
[4
]
S
a
lv
e
n
d
y
G
.
Ha
n
d
b
o
o
k
o
f
h
u
ma
n
fa
c
to
rs
a
n
d
e
rg
o
n
o
mic
s
.
Jo
h
n
W
il
e
y
&
S
o
n
s; 2
0
1
2
M
a
y
24.
[5
]
Bu
c
k
le
P
.
Er
g
o
n
o
mic
s
a
n
d
mu
sc
u
lo
sk
e
leta
l
d
iso
rd
e
rs
:
o
v
e
rv
iew
.
Oc
c
u
p
a
ti
o
n
a
l
m
e
d
icin
e
.
1
M
a
y
2
0
0
5
;
5
5
(3
):
1
6
4
-
1
6
7
.
[6
]
A
r
m
ij
o
-
Oliv
o
,
S
u
sa
n
,
L
in
d
a
J.
W
o
o
d
h
o
u
se
,
Iv
a
n
A
.
S
tee
n
stra
,
a
n
d
Do
u
g
las
P
.
G
ro
ss
.
Pre
d
ictive
v
a
l
u
e
o
f
th
e
DA
S
H
to
o
l
f
o
r
p
re
d
icti
n
g
re
t
u
r
n
t
o
wo
rk
o
f
in
j
u
re
d
wo
rk
e
rs
wit
h
mu
sc
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l
o
sk
e
leta
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d
iso
rd
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rs
o
f
t
h
e
u
p
p
e
r
e
x
tre
mity
.
Oc
c
u
p
En
v
iro
n
M
e
d
.
2
0
1
6
;
7
3
(
1
2
):
8
0
7
-
8
1
5
.
[7
]
S
taro
v
o
y
to
v
a
,
D.
Ha
za
rd
s
a
n
d
Ri
sk
s
a
t
Ro
ta
ry
S
c
re
e
n
Prin
ti
n
g
(
Pa
rt
2
/
6
):
An
a
lys
is
o
f
M
a
c
h
in
e
-
o
p
e
ra
to
rs
’
Po
stu
re
v
ia
Ra
p
id
-
U
p
p
e
r
-
L
im
b
-
A
ss
e
ss
m
e
n
t
(
RUL
A)
.
In
d
u
strial
E
n
g
in
e
e
rin
g
L
e
tt
e
rs
.
2
0
1
7
;
7
(5
):
4
2
–
6
3
.
[8
]
A
b
a
s
A
B,
S
a
id
A
R,
M
o
h
a
m
m
e
d
M
A
,
S
a
th
iak
u
m
a
r
N.
Oc
c
u
p
a
ti
o
n
a
l
d
ise
a
se
a
mo
n
g
n
o
n
-
g
o
v
e
rn
me
n
ta
l
e
mp
l
o
y
e
e
s
in
M
a
la
y
sia
:
2
0
0
2
-
2
0
0
6
.
In
tern
a
t
io
n
a
l
jo
u
rn
a
l
o
f
o
c
c
u
p
a
ti
o
n
a
l
a
n
d
e
n
v
iro
n
m
e
n
tal
h
e
a
lt
h
.
2
0
0
8
Oc
t
1
;
1
4
(
4
):
2
6
3
-
71.
[9
]
Hu
i
-
Ne
e
AU
.
S
a
fety
Cu
lt
u
re
in
M
a
la
y
sia
n
W
o
rk
p
la
c
e
:
An
A
n
a
lys
is
o
f
Oc
c
u
p
a
t
io
n
a
l
Acc
i
d
e
n
ts
.
He
a
lt
h
a
n
d
t
h
e
En
v
iro
n
m
e
n
t
Jo
u
r
n
a
l.
2
0
1
4
;
5
(
3
):
3
2
-
43.
[1
0
]
Bu
c
k
le
y
P
.
W
o
rk
-
re
la
ted
M
u
sc
u
lo
sk
e
leta
l
Diso
rd
e
r
(
W
RM
S
Ds
)
sta
ti
stics
.
He
a
lt
h
a
n
d
S
a
f
e
t
y
E
x
e
c
u
ti
v
e
,
G
re
a
t
Brit
a
in
.
2
0
1
6
:
1
-
2
0
.
[1
1
]
Na
z
m
i
N,
A
b
d
u
l
Ra
h
m
a
n
M
A
,
Ya
m
a
m
o
to
S
I,
A
h
m
a
d
S
A
,
Za
m
z
u
ri
H,
M
a
z
lan
S
A
.
A
re
v
iew
o
f
c
la
ss
if
ica
ti
o
n
tec
h
n
iq
u
e
s o
f
EM
G sig
n
a
ls
d
u
rin
g
iso
t
o
n
ic a
n
d
is
o
me
tric c
o
n
tr
a
c
ti
o
n
s
.
S
e
n
so
rs.
2
0
1
6
A
u
g
1
7
;
1
6
(
8
)
:1
3
0
4
.
[1
2
]
Zu
ra
d
a
J.
Pre
d
ictin
g
t
h
e
Ri
sk
o
f
L
o
w
B
a
c
k
Diso
rd
e
rs
d
u
e
t
o
M
a
n
u
a
l
Ha
n
d
li
n
g
T
a
sk
s
.
I
n
S
y
ste
m
S
c
ien
c
e
(HICSS
)
,
2
0
1
2
4
5
t
h
Ha
w
a
ii
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
2
0
1
2
Ja
n
4
(
p
p
.
1
0
8
0
-
1
0
8
8
).
IEE
E.
[1
3
]
Da
s
S
K,
M
u
k
h
o
p
a
d
h
y
a
y
S
.
Ef
fec
t
o
f
a
lt
e
re
d
b
o
d
y
c
o
mp
o
siti
o
n
o
n
mu
sc
u
lo
sk
e
leta
l
d
iso
r
d
e
rs
in
me
d
ica
l
p
ra
c
ti
ti
o
n
e
rs
.
In
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
o
f
Re
se
a
rc
h
in
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
.
2
0
1
6
;
5
(
1
6
)
:1
-
6.
[1
4
]
Ha
sh
im
N,
Ka
m
a
t
S
R,
Ha
li
m
I,
Oth
m
a
n
M
S
.
A
stu
d
y
o
n
p
u
s
h
-
p
u
ll
a
n
a
lys
is
a
ss
o
c
ia
te
d
wit
h
a
wk
wa
rd
p
o
st
u
re
a
mo
n
g
w
o
rk
e
rs
i
n
a
e
ro
s
p
a
c
e
i
n
d
u
stry
.
I
n
tern
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Re
se
a
rc
h
in
En
g
in
e
e
ri
n
g
a
n
d
T
e
c
h
n
o
l
o
g
y
.
2
0
1
4
;
3
(1
);
2
3
3
-
2
3
9
.
[1
5
]
G
h
o
sh
T
.
Asse
ss
me
n
t
o
f
Po
stu
ra
l
e
ff
e
c
t
o
n
W
o
rk
Rela
ted
M
u
sc
u
lo
sk
e
leta
l
Diso
rd
e
rs
a
n
d
Ba
c
k
M
u
sc
le
Fa
ti
g
u
e
a
mo
n
g
t
h
e
Go
l
d
sm
it
h
s
o
f
I
n
d
i
a
.
I
n
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
o
f
Oc
c
u
p
a
ti
o
n
a
l
S
a
f
e
t
y
a
n
d
He
a
lt
h
.
2
0
1
7
A
u
g
6
;
5
(
2
):
1
6
-
22.
[1
6
]
Nu
r
NM,
Da
w
a
l
S
Z.
Up
p
e
r
li
mb
a
n
d
l
o
we
r
b
a
c
k
mu
sc
le
a
c
ti
v
it
y
d
u
ri
n
g
p
ro
l
o
n
g
e
d
sitt
i
n
g
.
In
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
f
o
r
Hu
m
a
n
it
y
(
T
IC
-
S
T
H),
2
0
0
9
IEE
E
T
o
r
o
n
t
o
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
2
0
0
9
S
e
p
2
6
(p
p
.
2
3
4
-
2
3
8
)
.
IEE
E.
[1
7
]
Nu
r
NM,
Da
w
a
l
S
Z.
M
u
sc
les
a
c
ti
v
it
ies
a
t
tw
o
d
if
fer
e
n
t
w
o
rk
a
re
a
b
o
u
n
d
a
rie
s d
u
ri
n
g
se
d
e
n
ta
ry
w
o
rk
.
In
Bio
m
e
d
ica
l
En
g
in
e
e
rin
g
a
n
d
S
c
ien
c
e
s (IE
CB
ES
),
2
0
1
0
IE
EE
E
M
BS
C
o
n
f
e
re
n
c
e
o
n
2
0
1
0
No
v
3
0
(
p
p
.
3
6
9
-
3
7
2
).
IEE
E.
[1
8
]
S
h
a
ir
E
F
,
A
h
m
a
d
S
A
,
M
a
rh
a
b
a
n
M
H,
M
o
h
d
T
a
m
rin
S
B,
A
b
d
u
ll
a
h
A
R.
EM
G
P
ro
c
e
ss
in
g
Ba
se
d
M
e
a
su
re
s
o
f
Fa
ti
g
u
e
Asse
ss
me
n
t
d
u
rin
g
M
a
n
u
a
l
L
i
ft
in
g
.
Bi
o
M
e
d
re
se
a
rc
h
in
tern
a
ti
o
n
a
l.
2
0
1
7
;
2
0
1
7
:
1
-
1
2
.
[1
9
]
Ra
f
ie
F
,
Za
m
a
n
i
Ja
m
A
,
S
h
a
h
ra
v
a
n
A
,
R
a
o
o
f
M
,
Esk
a
n
d
a
riza
d
e
h
A
.
Pre
v
a
len
c
e
o
f
u
p
p
e
r
e
x
tre
mi
ty
mu
sc
u
lo
sk
e
leta
l
d
iso
rd
e
rs
i
n
d
e
n
ti
sts: sy
mp
to
ms
a
n
d
risk
f
a
c
to
rs
.
Jo
u
rn
a
l
o
f
e
n
v
iro
n
m
e
n
tal
a
n
d
p
u
b
li
c
h
e
a
lt
h
.
2
0
1
5
;
2
0
1
5
:
1
-
6.
[2
0
]
Ru
c
h
ik
a
S
D.
An
e
x
p
la
n
a
t
o
ry
stu
d
y
o
f
th
e
p
a
ra
me
ter
s
to
b
e
me
a
su
re
d
fro
m
EM
G
sig
n
a
l
.
In
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
o
f
En
g
in
e
e
rin
g
a
n
d
C
o
m
p
u
ter S
c
ien
c
e
.
2
0
1
3
Ja
n
;
2
(
1
):2
0
7
–
2
1
3
.
[2
1
]
Ka
m
a
ru
d
d
in
NA
,
Kh
a
li
d
P
I,
S
h
a
a
m
e
ri
A
Z.
T
h
e
Us
e
o
f
S
u
rfa
c
e
El
e
c
tro
my
o
g
ra
p
h
y
in
M
u
sc
le
Fa
t
ig
u
e
Asse
ss
me
n
ts
-
A
Rev
iew
.
Ju
rn
a
l
T
e
k
n
o
lo
g
i.
2
0
1
5
Ja
n
1
;
7
4
(
6
):
1
1
9
-
2
4
.
[2
2
]
Ka
rth
ick
P
A
,
Ra
m
a
k
rish
n
a
n
S
.
S
u
rf
a
c
e
e
lec
tro
my
o
g
ra
p
h
y
b
a
s
e
d
mu
sc
le
fa
t
ig
u
e
p
ro
g
re
ss
io
n
a
n
a
lys
is
u
si
n
g
mo
d
if
ie
d
B
d
istrib
u
ti
o
n
ti
me
–
fre
q
u
e
n
c
y
fea
tu
re
s
.
Bi
o
m
e
d
ica
l
S
ig
n
a
l
P
ro
c
e
ss
in
g
a
n
d
Co
n
tro
l
.
2
0
1
6
A
p
r
1
;
2
6
:4
2
-
5
1
.
[2
3
]
Ne
b
e
l,
Am
a
n
d
a
,
a
n
d
Ja
m
e
s
E.
W
h
it
n
e
y
ii
.
S
ig
n
a
l
Pro
c
e
ss
in
g
fo
r
El
e
c
tro
my
o
g
r
a
p
h
y
Pa
ra
me
ter
Esti
ma
ti
o
n
.
M
a
th
e
m
a
ti
c
s an
d
Co
m
p
u
ters
in
B
io
lo
g
y
a
n
d
Bio
m
e
d
ica
l
In
f
o
rm
a
ti
c
s.
p
p
.
3
7
-
44
[2
4
]
Ka
u
r
G
,
A
ro
ra
A
S
,
Ja
in
V
K.
Co
mp
a
riso
n
o
f
t
h
e
tec
h
n
iq
u
e
s
u
se
d
f
o
r
se
g
me
n
ta
ti
o
n
o
f
EM
G
sig
n
a
ls
.
In
P
ro
c
e
e
d
in
g
s
o
f
th
e
1
1
th
W
S
EA
S
in
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
o
n
M
a
th
e
m
a
ti
c
a
l
a
n
d
c
o
m
p
u
tatio
n
a
l
m
e
th
o
d
s
i
n
sc
ien
c
e
a
n
d
e
n
g
in
e
e
rin
g
.
W
o
rld
S
c
ien
ti
f
ic an
d
En
g
in
e
e
rin
g
A
c
a
d
e
m
y
a
n
d
S
o
c
iety
(
W
S
E
A
S
).
2
0
0
9
No
v
7
;
1
2
4
-
1
2
9
.
[2
5
]
Clan
c
y
E
A
,
L
iu
L
,
L
iu
P
,
M
o
y
e
r
DV
.
I
d
e
n
ti
f
ica
ti
o
n
o
f
c
o
n
sta
n
t
-
p
o
stu
re
EM
G
–
to
rq
u
e
re
la
ti
o
n
sh
ip
a
b
o
u
t
t
h
e
e
lb
o
w
u
sin
g
n
o
n
l
in
e
a
r
d
y
n
a
mic
m
o
d
e
ls
.
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
Bi
o
m
e
d
ica
l
En
g
in
e
e
rin
g
.
2
0
1
2
Ja
n
;
5
9
(1
)
:2
0
5
-
2
1
2
.
[2
6
]
W
a
n
g
G
,
Ya
n
Z,
Hu
X
,
Xie
H,
W
a
n
g
Z.
Cla
ss
if
ica
ti
o
n
o
f
su
rfa
c
e
EM
G
sig
n
a
ls
u
sin
g
h
a
rm
o
n
ic
wa
v
e
let
p
a
c
k
e
t
tra
n
sfo
rm
.
P
h
y
sio
lo
g
ica
l
m
e
a
su
re
m
e
n
t.
2
0
0
6
Oc
t
1
0
;
2
7
(
1
2
):
1
2
5
5
-
1
2
6
7
.
[2
7
]
Ha
li
m
I,
O
m
a
r
A
R,
S
a
m
a
n
A
M
,
Oth
m
a
n
I.
Asse
ss
me
n
t
o
f
mu
sc
le
f
a
ti
g
u
e
a
ss
o
c
i
a
ted
wit
h
p
ro
lo
n
g
e
d
sta
n
d
in
g
i
n
t
h
e
wo
rk
p
la
c
e
.
S
a
f
e
t
y
a
n
d
h
e
a
lt
h
a
t
w
o
rk
.
2
0
1
2
M
a
r
1
;
3
(
1
):
3
1
-
42.
[2
8
]
G
o
k
g
o
z
E,
S
u
b
a
si
A
.
Co
mp
a
ri
so
n
o
f
d
e
c
isio
n
tre
e
a
lg
o
rith
m
s
fo
r
EM
G
sig
n
a
l
c
la
ss
if
ica
t
io
n
u
sin
g
DW
T
.
Bio
m
e
d
ica
l
S
ig
n
a
l
P
r
o
c
e
ss
in
g
a
n
d
Co
n
tro
l.
2
0
1
5
A
p
r
1
;
1
8
:
1
3
8
-
4
4
.
[2
9
]
Estrad
a
L
,
T
o
rre
s
A
,
Ga
rc
ia
-
Ca
s
a
d
o
J,
S
a
rlab
o
u
s
L
,
P
ra
ts
-
Bo
l
u
d
a
G
,
J
a
n
é
R.
T
ime
-
fre
q
u
e
n
c
y
re
p
re
s
e
n
ta
ti
o
n
s
o
f
t
h
e
ste
rn
o
c
leid
o
m
a
sto
i
d
mu
sc
le
e
lec
tro
my
o
g
ra
p
h
ic
sig
n
a
l
re
c
o
rd
e
d
wi
th
c
o
n
c
e
n
tric
rin
g
e
lec
tro
d
e
s
.
In
2
0
1
6
IEE
E
3
8
th
A
n
n
u
a
l
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
f
th
e
En
g
in
e
e
rin
g
in
M
e
d
icin
e
a
n
d
Bio
lo
g
y
S
o
c
iet
y
(EM
BC),
2
0
1
6
A
u
g
1
6
:
p
p
.
3
7
8
5
-
3
7
8
8
.
IEE
E.
[3
0
]
S
h
a
ir
EF
,
Zaw
a
w
i
T
N,
A
b
d
u
ll
a
h
A
R,
S
h
a
m
su
d
in
NH
,
Ha
li
m
I
.
sEM
G
sig
n
a
ls
a
n
a
lys
is
u
sin
g
ti
me
-
fre
q
u
e
n
c
y
d
istrib
u
ti
o
n
fo
r
sy
mm
e
tric
a
n
d
a
sy
mm
e
tric
li
ft
in
g
.
In
2
0
1
5
I
n
tern
a
ti
o
n
a
l
S
y
m
p
o
siu
m
o
n
Tec
h
n
o
lo
g
y
M
a
n
a
g
e
m
e
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t
a
n
d
Em
e
rg
in
g
Tec
h
n
o
lo
g
ies
(IS
T
M
ET
),
2
0
1
5
A
u
g
2
5
:
p
p
.
2
3
3
-
2
3
7
.
IEE
E.
[3
1
]
Re
a
z
M
B,
Hu
ss
a
in
M
S
,
M
o
h
d
-
Y
a
sin
F
.
T
e
c
h
n
iq
u
e
s
o
f
EM
G
sig
n
a
l
a
n
a
lys
is:
d
e
tec
ti
o
n
,
p
ro
c
e
ss
in
g
,
c
la
ss
if
ic
a
ti
o
n
a
n
d
a
p
p
l
ica
ti
o
n
s
.
B
io
l
o
g
ica
l
p
ro
c
e
d
u
re
s o
n
li
n
e
.
2
0
0
6
De
c
1
;
8
(1
):
1
1
-
3
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
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lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
R
ev
iew
o
f E
lectro
myo
g
r
a
p
h
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S
ig
n
a
l A
n
a
lysi
s
Tech
n
iq
u
es f
o
r
…
(
T.
N
.
S
.
Ten
g
ku
Za
w
a
w
i
)
1145
[3
2
]
P
h
in
y
o
m
a
r
k
A
,
P
h
u
k
p
a
tt
a
ra
n
o
n
t
P
,
L
im
s
a
k
u
l
C.
Fea
t
u
re
re
d
u
c
ti
o
n
a
n
d
se
lec
ti
o
n
fo
r
EM
G
sig
n
a
l
c
la
ss
if
ica
ti
o
n
.
Ex
p
e
rt
S
y
ste
m
s
w
it
h
A
p
p
li
c
a
ti
o
n
s
.
2
0
1
2
Ju
n
1
5
;
3
9
(
8
):
7
4
2
0
-
31.
[3
3
]
A
b
id
u
ll
a
h
NA
,
A
b
d
u
ll
a
h
A
R,
S
h
a
m
su
d
in
NH
,
A
h
m
a
d
NH
,
Jo
p
ri
M
H.
Re
a
l
-
ti
m
e
p
o
w
e
r
q
u
a
li
t
y
sig
n
a
ls
m
o
n
it
o
rin
g
s
y
ste
m
.
In
Re
se
a
rc
h
a
n
d
De
v
e
lo
p
m
e
n
t
(S
CORe
D),
2
0
1
3
IE
EE
S
tu
d
e
n
t
C
o
n
f
e
re
n
c
e
o
n
2
0
1
3
De
c
1
6
:
4
3
3
-
4
3
8
.
IE
EE.
[3
4
]
A
b
id
u
ll
a
h
NA
,
A
b
d
u
ll
a
h
A
R,
S
h
a
'
a
m
e
ri
A
Z,
S
h
a
m
su
d
in
NH
,
A
h
m
a
d
NH
,
Jo
p
ri
M
H.
Re
a
l
-
T
ime
P
o
w
e
r
Qu
a
li
ty
Distu
rb
a
n
c
e
s De
tec
ti
o
n
a
n
d
Clas
s
if
ica
ti
o
n
S
y
ste
m
.
W
o
rld
A
p
p
li
e
d
S
c
ien
c
e
s Jo
u
rn
a
l.
2
0
1
4
;3
2
(8
):
1
6
3
7
-
5
1
.
[3
5
]
M
a
li
n
z
a
k
RA
,
Co
lb
y
S
M
,
Kirk
e
n
d
a
ll
DT
,
Yu
B,
G
a
rre
t
t
W
E
.
A
c
o
mp
a
riso
n
o
f
k
n
e
e
jo
i
n
t
m
o
ti
o
n
p
a
tt
e
rn
s
b
e
twee
n
me
n
a
n
d
wo
me
n
in
se
lec
ted
a
t
h
let
ic t
a
sk
s
.
Cli
n
ica
l
b
i
o
m
e
c
h
a
n
ics
.
2
0
0
1
Ju
n
1
;
1
6
(5
)
:4
3
8
-
45.
[3
6
]
A
ra
b
a
d
z
h
iev
T
I,
Di
m
it
ro
v
V
G
,
D
im
it
ro
v
a
N
A
,
Di
m
it
ro
v
G
V
.
In
ter
p
re
ta
ti
o
n
o
f
EM
G i
n
teg
r
a
l
o
r R
M
S
a
n
d
e
stima
te
s
o
f
―
n
e
u
r
o
mu
sc
u
l
a
r
e
ff
icie
n
c
y
‖
c
a
n
b
e
misle
a
d
in
g
in
fa
t
ig
u
in
g
c
o
n
tra
c
ti
o
n
.
Jo
u
r
n
a
l
o
f
El
e
c
tro
m
y
o
g
ra
p
h
y
a
n
d
Kin
e
sio
lo
g
y
.
2
0
1
0
A
p
r
1
;
2
0
(2
):
2
2
3
-
3
2
.
[3
7
]
S
u
e
tt
a
C,
A
a
g
a
a
rd
P
,
Ro
ste
d
A
,
Ja
k
o
b
se
n
A
K,
Du
u
s
B,
Kja
e
r
M
,
M
a
g
n
u
ss
o
n
S
P
.
T
ra
i
n
i
n
g
-
i
n
d
u
c
e
d
c
h
a
n
g
e
s
i
n
mu
sc
le
CS
A,
mu
sc
le
stre
n
g
t
h
,
E
M
G,
a
n
d
r
a
te
o
f
f
o
rc
e
d
e
v
e
lo
p
m
e
n
t
in
e
l
d
e
rly
su
b
jec
ts
a
ft
e
r
l
o
n
g
-
ter
m
u
n
il
a
ter
a
l
d
isu
se
.
Jo
u
rn
a
l
o
f
A
p
p
li
e
d
P
h
y
sio
lo
g
y
.
2
0
0
4
N
o
v
;
9
7
(5
):
1
9
5
4
-
6
1
.
[3
8
]
Kilb
o
m
Å
,
Hä
g
g
G
M
,
Kä
ll
C.
On
e
-
h
a
n
d
e
d
l
o
a
d
c
a
rr
y
in
g
—
c
a
r
d
io
v
a
sc
u
la
r,
mu
sc
u
l
a
r
a
n
d
su
b
je
c
ti
v
e
in
d
ice
s
o
f
e
n
d
u
r
a
n
c
e
a
n
d
fa
ti
g
u
e
.
Eu
r
o
p
e
a
n
jo
u
r
n
a
l
o
f
a
p
p
l
ied
p
h
y
sio
lo
g
y
a
n
d
o
c
c
u
p
a
ti
o
n
a
l
p
h
y
sio
lo
g
y
.
1
9
9
2
Ja
n
1
;
6
5
(
1
):
5
2
-
8.
[3
9
]
T
k
a
c
h
D,
Hu
a
n
g
H,
Ku
ik
e
n
T
A
.
S
tu
d
y
o
f
sta
b
il
it
y
o
f
ti
me
-
d
o
ma
in
fea
tu
re
s
fo
r
e
lec
tro
my
o
g
ra
p
h
ic
p
a
tt
e
rn
re
c
o
g
n
it
i
o
n
.
Jo
u
rn
a
l
o
f
n
e
u
ro
e
n
g
i
n
e
e
rin
g
a
n
d
re
h
a
b
il
it
a
ti
o
n
.
2
0
1
0
De
c
;
7
(2
1
):
1
-
13.
[4
0
]
Zard
o
sh
t
i
-
Ke
rm
a
n
i
M
,
W
h
e
e
ler
BC,
Ba
d
ie
K,
Ha
sh
e
m
i
RM
.
E
M
G
fea
tu
re
e
v
a
lu
a
ti
o
n
f
o
r
mo
v
e
me
n
t
c
o
n
tr
o
l
o
f
u
p
p
e
r ex
tre
mity p
ro
st
h
e
se
s
.
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
Re
h
a
b
il
i
tatio
n
E
n
g
in
e
e
rin
g
.
1
9
9
5
De
c
;3
(4
)
:3
2
4
-
3
3
.
[4
1
]
Kig
u
c
h
i
K,
Ka
ri
y
a
S
,
Wata
n
a
b
e
K,
Iz
u
m
i
K,
F
u
k
u
d
a
T
.
An
e
x
o
sk
e
leta
l
ro
b
o
t
fo
r
h
u
ma
n
e
lb
o
w
mo
ti
o
n
su
p
p
o
rt
-
se
n
so
r fu
sio
n
,
a
d
a
p
t
a
ti
o
n
,
a
n
d
c
o
n
tro
l
.
I
EE
E
T
ra
n
sa
c
ti
o
n
s o
n
S
y
st
e
m
s,
M
a
n
,
a
n
d
Cy
b
e
rn
e
ti
c
s,
P
a
rt
B
(C
y
b
e
rn
e
ti
c
s).
2
0
0
1
J
u
n
;
3
1
(
3
):
3
5
3
-
3
6
1
.
[4
2
]
P
h
in
y
o
m
a
r
k
A
,
Ch
u
ji
t
G
,
P
h
u
k
p
a
tt
a
ra
n
o
n
t
P
,
L
ims
a
k
u
l
C,
Hu
H.
A
p
re
li
min
a
ry
stu
d
y
a
ss
e
ss
in
g
ti
me
-
d
o
ma
in
EM
G
fea
tu
re
s o
f
c
la
ss
if
y
i
n
g
e
x
e
rc
ise
s i
n
p
re
v
e
n
ti
n
g
fa
ll
s in
t
h
e
e
ld
e
rly
.
I
n
2
0
1
2
9
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
/E
lec
tro
n
ics
,
Co
m
p
u
t
e
r,
T
e
lec
o
m
m
u
n
ica
ti
o
n
s
a
n
d
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
(ECT
I
-
CO
N),
2
0
1
2
M
a
y
1
6
:
p
p
.
1
-
4
.
I
EE
E.
[4
3
]
Ro
g
e
rs
DR,
M
a
c
I
sa
a
c
D
T
.
EM
G
-
b
a
se
d
mu
sc
le
fa
ti
g
u
e
a
ss
e
ss
me
n
t
d
u
ri
n
g
d
y
n
a
mic
c
o
n
tra
c
ti
o
n
s
u
sin
g
p
ri
n
c
ip
a
l
c
o
mp
o
n
e
n
t
a
n
a
lys
is
.
Jo
u
rn
a
l
o
f
El
e
c
tro
m
y
o
g
ra
p
h
y
a
n
d
Kin
e
sio
l
o
g
y
.
2
0
1
1
Oc
t
1
;
2
1
(
5
):
8
1
1
-
8
1
8
.
[4
4
]
A
b
id
in
NZ,
A
b
d
u
l
lah
A
R,
No
rd
d
in
N,
A
m
a
n
A
,
Ib
ra
h
im
K
A
.
L
e
a
k
a
g
e
c
u
rr
e
n
t
a
n
a
lys
is
o
n
p
o
lym
e
ric
su
rfa
c
e
c
o
n
d
i
ti
o
n
u
si
n
g
ti
me
-
fre
q
u
e
n
c
y
d
istrib
u
ti
o
n
.
2
0
1
2
IEE
E
In
ter
n
a
ti
o
n
a
l
in
P
o
w
e
r
En
g
in
e
e
rin
g
a
n
d
Op
ti
m
iza
ti
o
n
Co
n
f
e
re
n
c
e
(P
EOCO) M
e
lak
a
,
M
a
la
y
sia
,
2
0
1
2
J
u
n
6
:
p
p
.
1
7
1
-
1
7
5
.
IEE
E.
[4
5
]
S
a
x
e
n
a
R,
S
in
g
h
K.
F
ra
c
ti
o
n
a
l
F
o
u
rier
tran
sf
o
rm
:
A
n
o
v
e
l
to
o
l
fo
r
s
ig
n
a
l
p
ro
c
e
ss
in
g
.
Jo
u
r
n
a
l
o
f
th
e
In
d
ian
I
n
stit
u
te
o
f
S
c
ien
c
e
.
2
0
1
3
J
u
l
5
;
8
5
(1
)
:1
1
.
[4
6
]
Ka
y
S
M
.
Fu
n
d
a
me
n
t
a
ls
o
f
sta
ti
stica
l
s
ig
n
a
l
p
ro
c
e
ss
in
g
:
Pr
a
c
ti
c
a
l
a
l
g
o
rit
h
m
d
e
v
e
lo
p
me
n
t
.
P
e
a
rs
o
n
E
d
u
c
a
ti
o
n
;
2
0
1
3
.
[4
7
]
Be
k
k
a
RE,
Ch
ik
o
u
c
h
e
D.
Ef
fec
t
o
f
th
e
win
d
o
w
len
g
t
h
o
n
t
h
e
EM
G
sp
e
c
tra
l
e
stima
ti
o
n
t
h
ro
u
g
h
th
e
B
la
c
k
ma
n
-
T
u
k
e
y
me
th
o
d
.
I
n
S
ig
n
a
l
P
r
o
c
e
ss
in
g
a
n
d
Its
A
p
p
li
c
a
ti
o
n
s
,
2
0
0
3
.
P
r
o
c
e
e
d
in
g
s.
S
e
v
e
n
th
In
tern
a
ti
o
n
a
l
S
y
m
p
o
siu
m
o
n
2
0
0
3
Ju
l
1
;
2
:
1
7
-
2
0
.
IEE
E.
[4
8
]
Jo
p
ri
M
H
,
A
b
d
u
ll
a
h
A
R,
Ka
ss
i
m
NM,
M
a
n
a
p
M
,
Ng
a
ti
m
a
n
NA
,
Yu
so
f
f
M
R.
L
o
c
a
li
z
a
ti
o
n
o
f
M
u
l
ti
p
le
Ha
rm
o
n
ic
S
o
u
rc
e
s
f
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ic
a
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d
Co
m
p
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En
g
in
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rin
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(JT
EC).
2
0
1
6
M
a
y
1
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(2
):
8
7
-
9
1
.
[4
9
]
T
h
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p
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2
0
1
3
Ju
l
;
1
9
(
3
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1
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5
6
.
[5
0
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M
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R,
Co
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te
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R.
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u
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sig
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Jo
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1
9
9
7
De
c
1
;
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(4
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4
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5
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.
[5
1
]
De
L
u
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CJ.
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o
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n
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rv
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.
1
9
9
3
F
e
b
1
;
1
6
(2
):
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1
0
-
2
1
6
.
[5
2
]
Kh
a
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A
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m
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M
.
Fre
q
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tra
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I
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2
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I
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tern
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El
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tri
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&
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ic E
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in
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(ICEE
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2
0
1
5
No
v
4
:
p
p
.
1
6
1
-
1
6
4
.
IEE
E
.
[5
3
]
A
lt
a
f
M
M
,
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b
a
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o
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BM
,
A
lra
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d
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.
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ma
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ro
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ts
.
In
ter
n
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ti
o
n
a
l
Jo
u
rn
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f
Hu
m
a
n
o
id
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b
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t
ics
.
2
0
1
6
Ju
n
;
1
3
(
0
2
):
1
5
5
0
0
3
5
-
1
-
1
5
5
0
0
3
5
-
1
8
.
[5
4
]
W
a
c
k
e
r
M
,
W
it
te
H.
T
ime
-
fre
q
u
e
n
c
y
tec
h
n
iq
u
e
s
in
b
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o
me
d
ic
a
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si
g
n
a
l
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lys
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.
M
e
t
h
o
d
s
o
f
in
f
o
rm
a
ti
o
n
i
n
m
e
d
icin
e
.
2
0
1
3
;
5
2
(
4
):2
7
9
-
96.
[5
5
]
Yu
a
n
L
.
A
T
ime
-
Fre
q
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n
c
y
F
e
a
tu
re
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sio
n
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g
o
rit
h
m
Ba
se
d
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u
ra
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Ne
two
rk
fo
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HRR
P
.
P
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g
re
ss
in
El
e
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tro
m
a
g
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ti
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s Re
se
a
r
c
h
.
2
0
1
7
;
5
5
:
6
3
-
7
1
.
[5
6
]
Jo
p
ri
M
H,
A
b
d
u
ll
a
h
A
R,
S
u
ti
k
n
o
T
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R.
A
Util
isa
ti
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Imp
r
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v
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tec
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d
Cl
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if
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ti
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n
An
a
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.
I
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tern
a
ti
o
n
a
l
Jo
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r
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a
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o
f
El
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c
tri
c
a
l
a
n
d
Co
m
p
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ter
En
g
in
e
e
rin
g
(IJECE).
2
0
1
7
F
e
b
1
;
7
(1
)
:2
1
-
8.
[5
7
]
A
b
d
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ll
a
h
A
R,
A
h
m
a
d
NS,
Ba
h
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a
g
e
so
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in
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sin
g
sp
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c
tro
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ra
m
.
In
El
e
c
tri
c
a
l
M
a
c
h
in
e
s an
d
S
y
st
e
m
s (ICE
M
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),
2
0
1
3
I
n
tern
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ti
o
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a
l
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0
1
3
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t
2
6
(
p
p
.
1
8
0
8
-
1
8
1
3
).
I
E
EE
.
[5
8
]
P
la
n
te
F
,
M
e
y
e
r
G
,
A
in
s
w
o
rth
WA
.
Imp
ro
v
e
m
e
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f
sp
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sp
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m
a
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r
a
c
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b
y
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e
me
th
o
d
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f
re
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ss
ig
n
me
n
t
.
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