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Evaluation Warning : The document was created with Spire.PDF for Python.
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5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
23
,
No
.
2
,
Au
g
u
s
t 2
0
2
1
:
829
-
8
3
6
830
T
h
e
m
u
s
c
l
e
a
r
t
i
f
a
ct
(
M
A
)
n
o
i
s
e
i
s
c
a
u
s
e
d
b
y
m
u
s
c
l
e
c
o
n
t
r
a
c
t
i
o
n
,
w
h
i
c
h
c
o
i
n
c
i
d
e
s
wi
t
h
th
e
m
e
a
s
u
r
e
m
e
n
t
o
f
m
u
s
c
u
l
a
r
a
ct
i
v
it
y
;
t
h
e
a
m
p
l
it
u
d
e
o
f
t
h
is
n
o
i
s
e
m
a
y
c
o
m
p
le
te
l
y
c
o
v
e
r
t
h
e
b
i
o
m
e
d
i
c
a
l
s
i
g
n
a
l
s
[
8
]
.
T
h
e
o
c
u
l
a
r
a
r
t
i
f
a
c
ts
(
OA
)
;
t
h
es
e
n
o
i
s
e
s
a
r
e
t
h
e
s
o
u
r
c
es
o
f
e
y
e
m
o
v
e
m
e
n
t
a
n
d
b
l
i
n
k
i
n
g
.
T
h
e
c
h
a
n
g
e
s
i
n
t
h
e
d
i
r
e
c
t
i
o
n
o
f
t
h
e
c
o
r
n
e
a
d
i
p
o
l
e
,
r
e
t
i
n
a
,
a
n
d
f
l
u
tt
er
p
r
o
d
u
c
e
t
h
e
o
c
u
l
a
r
n
o
i
s
e
[
9
]
.
T
h
e
d
e
n
o
is
in
g
tech
n
iq
u
es
a
r
e
in
ev
itab
le
f
o
r
a
r
ea
s
o
n
ab
le
in
t
er
p
r
etatio
n
o
f
b
io
m
e
d
ical
s
ig
n
als
an
d
th
e
r
ed
u
ctio
n
o
f
th
e
n
o
is
es
th
at
in
ter
f
er
e
with
th
e
E
E
G
an
d
E
MG
s
ig
n
al.
Am
o
n
g
th
e
d
e
n
o
is
in
g
ap
p
r
o
ac
h
es,
em
p
ir
ical
m
o
d
e
d
ec
o
m
p
o
s
itio
n
(
EMD
)
a
n
d
its
v
ar
ian
ts
.
T
h
e
E
MD
is
a
tim
e
-
f
r
eq
u
en
c
y
i
n
f
o
r
m
atio
n
p
r
o
ce
s
s
in
g
tech
n
iq
u
e
[
1
0
]
,
[
1
1
]
.
T
h
e
E
M
D
in
f
o
r
m
atio
n
p
r
o
ce
s
s
in
g
tech
n
iq
u
e
d
ec
o
m
p
o
s
es
E
MG
an
d
E
E
G
s
ig
n
als
in
to
s
ig
n
als
n
am
ed
i
n
tr
in
s
ic
m
o
d
e
f
u
n
ctio
n
s
(
I
MFs),
th
at
h
a
v
e
a
h
ig
h
f
r
e
q
u
en
c
y
f
o
r
th
e
f
ir
s
t
I
MF
an
d
lo
w
f
r
eq
u
e
n
cy
f
o
r
th
e
r
esid
u
al
(
th
e
last
I
MF)
.
T
h
e
d
en
o
is
ed
E
E
G
an
d
E
MG
s
ig
n
als
ca
n
b
e
r
esto
r
ed
b
y
th
e
I
MFs
th
at
h
av
e
a
lo
w
f
r
eq
u
en
cy
a
n
d
th
e
r
esid
u
al
s
ig
n
al
(
th
e
h
ig
h
f
r
eq
u
en
c
y
ex
is
tin
g
in
t
h
e
f
ir
s
t
I
MFs
h
av
e
n
o
is
es).
T
h
is
d
en
o
is
in
g
m
eth
o
d
is
ap
p
lied
in
s
ev
er
al
f
ield
s
as
a
g
lo
b
al
p
o
s
itio
n
in
g
s
y
s
tem
,
b
io
m
ed
ical
s
ig
n
als,
an
d
clim
ate
ch
an
g
e
[
1
0
]
-
[
1
4
]
.
T
h
e
d
r
awb
ac
k
s
o
f
th
e
E
MD
ar
e
th
e
en
d
ef
f
ec
t a
n
d
m
o
d
al
-
aliasin
g
.
T
o
o
v
er
co
m
e
th
e
p
r
o
b
lem
s
c
r
ea
ted
in
t
h
e
E
MD
to
o
l,
th
e
wh
ite
Gau
s
s
ian
n
o
is
e
is
m
ix
ed
with
s
ig
n
alan
d
th
e
E
MD
is
ap
p
lied
to
th
e
f
in
al
s
ig
n
al
r
esu
lts
.
T
h
e
m
ea
n
o
f
th
e
r
esu
lts
o
b
tain
e
d
is
e
n
s
em
b
le
E
MD
(
E
E
MD
)
[
1
5
]
.
Desp
ite
th
e
wh
ite
n
o
is
e
ad
d
e
d
in
p
r
ac
tice
to
o
v
er
c
o
m
e
m
o
d
e
-
m
ix
in
g
b
y
t
h
e
E
E
MD
tech
n
iq
u
e,
th
e
n
o
is
e
in
th
e
s
ig
n
al
ex
is
ts
af
ter
ca
lcu
late
th
e
m
u
ltip
le
av
er
a
g
i
n
g
.
T
h
e
E
E
MD
m
et
h
o
d
al
s
o
h
as
co
n
s
tr
ain
ts
;
f
o
r
in
s
tan
ce
,
th
e
n
u
m
b
e
r
o
f
s
ca
les
is
n
o
t
th
e
s
am
e
as
th
e
E
MD
d
ec
o
m
p
o
s
itio
n
,
a
n
d
th
e
q
u
an
tity
o
f
ca
lcu
latio
n
s
in
cr
ea
s
es [
1
6
]
.
T
h
e
p
itfa
lls
th
at
ap
p
ea
r
ed
in
E
MD
an
d
E
E
M
D
wer
e
o
v
er
co
m
e
b
y
a
p
p
ly
in
g
co
m
p
lete
en
s
em
b
le
em
p
ir
ical
m
o
d
e
d
ec
o
m
p
o
s
itio
n
with
ad
ap
tiv
e
n
o
is
e
(
C
E
E
MD
AN
)
th
at
u
s
es
th
e
n
o
is
e
au
x
iliar
y
.
T
h
is
m
eth
o
d
g
iv
es
a
co
r
r
ec
t
r
esto
r
atio
n
o
f
b
io
m
ed
ical
s
ig
n
als
an
d
p
e
r
f
ec
t
s
p
ec
tr
a
o
f
th
e
d
ec
o
m
p
o
s
ed
m
o
d
e
[
1
7
]
-
[
1
9
]
.
T
h
e
iter
atio
n
s
p
r
esen
ted
in
E
E
M
D
ar
e
m
o
r
e
th
an
iter
atio
n
s
o
f
th
e
C
E
E
MD
AN
m
eth
o
d
.
T
h
is
latter
m
ay
g
iv
e
a
g
o
o
d
r
ec
o
n
s
tr
u
ctio
n
o
f
th
e
s
ig
n
als
an
d
r
ec
laim
th
e
E
MD
ch
ar
ac
ter
is
tics
th
at
d
o
n
o
t
ap
p
ea
r
in
E
E
MD
.
T
h
e
r
esid
u
al
n
o
is
e
an
d
s
p
u
r
io
u
s
m
o
d
es
ar
e
p
r
esen
ted
in
th
e
C
E
E
MD
AN
m
eth
o
d
d
esp
ite
th
e
am
elio
r
atio
n
o
f
th
e
E
MD
an
d
E
E
MD
.
T
o
s
u
r
p
ass
th
ese
p
r
o
b
lem
s
cr
ea
ted
b
y
C
E
E
MD
AN,
th
e
n
ew
tech
n
iq
u
e
ca
lled
I
m
p
r
o
v
ed
C
E
E
MD
AN
i
s
u
s
ed
in
th
is
s
tu
d
y
to
attain
th
e
m
o
d
es
wit
h
th
e
f
ilter
ed
n
o
is
e
an
d
g
i
v
e
th
e
s
ig
n
al
a
m
o
r
e
p
h
y
s
ical
m
ea
n
in
g
[
2
0
]
-
[
2
4
]
.
T
h
is
ar
ticle
is
s
tr
u
ctu
r
ed
as
f
o
llo
ws.
Sectio
n
2
p
r
o
v
i
d
es
an
ex
p
lan
atio
n
o
f
th
e
s
p
ec
tr
u
m
r
esto
r
atio
n
tech
n
iq
u
e
b
ased
o
n
th
e
C
E
E
MD
AN
an
d
its
n
ew
v
e
r
s
io
n
.
T
h
e
s
ig
n
als
u
s
ed
in
th
is
p
ap
e
r
ar
e
also
p
r
esen
ted
.
Sectio
n
3
p
r
esen
ts
th
e
r
esu
lts
o
b
tain
ed
th
r
o
u
g
h
th
e
u
s
e
o
f
th
ese
tech
n
iq
u
es.
T
h
e
f
in
al
p
ar
t
s
u
m
s
u
p
th
e
m
ain
f
in
d
in
g
s
an
d
co
n
clu
s
io
n
s
o
f
th
e
s
tu
d
y
.
2.
DE
NO
I
SI
NG
AND
B
I
O
M
E
DICA
L
SI
G
NA
LS
2
.
1
.
Deno
is
ing
t
ec
hn
iqu
es
2
.
1
.
1
.
CE
E
M
DAN
T
h
e
E
MD
is
a
m
eth
o
d
th
at
d
ec
o
m
p
o
s
es
th
e
z
(
t)
s
ig
n
al
i
n
to
m
o
d
es
ca
lled
in
tr
i
n
s
ic
m
o
d
e
f
u
n
ctio
n
I
MFs.
T
h
e
E
MD
m
eth
o
d
is
p
r
esen
ted
b
y
th
e
f
o
llo
win
g
s
te
p
s
[
6
]
,
[
7
]
:
th
e
f
ir
s
t
s
tep
is
th
e
ex
tr
ac
tio
n
o
f
all
ex
tr
em
a
f
r
o
m
th
e
o
r
ig
in
al
s
ig
n
al
an
d
th
e
s
ec
o
n
d
s
tep
is
th
e
c
alcu
latio
n
o
f
th
e
lo
ca
l a
v
er
a
g
e
()
mt
:
๎
(
๎
)
=
(
๎ฏ
๎ณ
๎ณ
๎ณฃ
(
๎ฏง
)
+
๎ฏ
๎ณ
๎ณ
๎ณ
(
๎ฏง
)
2
(
1
)
W
ith
e
max
(
t)
is
th
e
u
p
p
er
e
n
v
e
lo
p
e
an
d
e
min
(
t)
)
is
l
o
wer
e
n
v
e
lo
p
e.
T
h
en
,
th
e
th
ir
d
s
tep
is
c
o
m
p
u
tin
g
th
e
m
o
d
e
d
J
(
t)
=I
MF
J
(
t)
,
a
lo
ca
l
d
etail
b
y
:
๎
(
๎
)
=
๎
(
๎
)
โ
๎
(
๎
)
(
2
)
T
h
e
f
o
u
r
th
s
tep
is
to
co
m
p
u
t
e
th
e
n
ew
s
ig
n
al
1
(
)
(
)
(
)
r
t
z
t
im
f
t
=โ
,
an
d
to
d
et
er
m
in
e
if
()
rt
less
th
an
th
r
ee
ex
tr
em
a,
th
e
alg
o
r
ith
m
s
to
p
s
h
as;
o
th
er
wis
e,
p
ass
to
th
e
f
ir
s
t step
.
T
h
e
C
E
E
MD
AN
tech
n
iq
u
e
is
b
ased
o
n
E
MD
.
T
h
e
s
et
o
f
r
u
les
an
d
b
asics
o
f
th
e
E
MD
th
eo
r
y
an
d
its
v
ar
ian
t te
ch
n
iq
u
es a
r
e
g
iv
en
in
[
1
7
]
-
[
1
9
]
.
T
h
e
C
E
E
MD
AN
m
eth
o
d
is
p
r
esen
ted
as f
o
llo
ws:
โ
Dec
o
m
p
o
s
e
0
(
)
(
)
ii
x
n
w
n
๏ฅ
+
to
ac
ce
s
s
t
h
e
f
ir
s
t m
o
d
e
b
y
(
3
)
:
๎ซ
๎ฏ
๎จ
1
(
๎
)
=
1
๎ฏ
โ
๎ซ๎ฏ
๎จ
๎ฏ
๎ฏ
(
๎
)
๎ฏ
๎ฏ
=
1
(
3
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
๏ฒ
Den
o
is
in
g
elec
tr
o
myo
g
r
a
m
a
n
d
elec
tr
o
en
ce
p
h
a
l
o
g
r
a
m
s
ig
n
a
ls
โฆ
(
S
.
E
lo
u
a
h
a
m
)
831
w
h
er
e
0
w
is
th
e
lev
el
n
o
is
e
a
d
d
in
g
in
s
ig
n
al,
()
i
t
๏ฅ
is
a
d
if
f
e
r
en
t
wh
ite
Gau
s
s
ien
n
o
is
e
(
i=1
,
โฆ,
I
)
a
n
d
k
r
ep
r
esen
ts
th
e
m
o
d
e.
โ
T
h
e
f
ir
s
t r
esid
u
e
is
o
b
tain
e
d
b
y
th
e
f
o
llo
win
g
r
elatio
n
:
๎
1
(
๎
)
=
๎
(
๎
)
โ
๎ซ
๎ฏ
๎จ
1
(
๎
)
(
4
)
T
h
e
Op
er
ato
r
E
j(
.
)
p
r
esen
ts
t
h
e
ith
m
o
d
e
o
b
tain
ed
b
y
d
ec
o
m
p
o
s
itio
n
o
f
th
e
b
io
m
e
d
ica
l
s
ig
n
als
(
E
E
G
o
r
E
MG
)
with
th
e
E
MD
m
eth
o
d
.
โ
T
h
e
n
ew
s
ig
n
al
1
1
1
(
)
(
(
)
)
i
r
n
w
E
n
๏ฅ
+
is
d
ec
o
m
p
o
s
e
d
to
o
b
tai
n
th
e
f
ir
s
t m
o
d
e.
T
h
e
2
I
M
F
i
s
g
iv
en
b
y
(
5
)
:
๎ซ
๎ฏ
๎จ
2
(
๎
)
=
1
๎ฏ
โ
๎ง
1
๎ฏ
๎ฏ
=
1
(
๎
1
(
๎
)
+
๎
1
๎ง
1
(
๎
๎ฏ
(
๎
)
)
)
(
5
)
Fo
r
k
=
2
,
โฆ,
K,
ca
lcu
late
th
e
k
-
th
r
esid
u
e
a
n
d
o
b
tain
th
e
f
ir
s
t m
o
d
e.
Def
in
e
th
e
(
k
+1
)
-
t
h
m
o
d
e
as
(
6
)
:
๎ซ
๎ฏ
๎จ
๎ฏ
+
1
(
๎
)
=
1
๎ฏ
โ
๎ง
1
๎ฏ
๎ฏ
=
1
(
๎
๎ฏ
(
๎
)
+
๎
๎ฏ
๎ง
๎ฏ
(
๎
๎ฏ
(
๎
)
)
)
(
6
)
โ
I
ter
ate
th
is
o
p
er
atio
n
u
n
til th
e
r
esid
u
al
is
n
o
lo
n
g
er
f
ea
s
ib
le.
T
h
e
r
esid
u
e
is
o
b
tain
e
d
b
y
(
7
)
.
๎
๎ฏ
(
๎
)
=
๎
๎ฏ
โ
1
(
๎
)
โ
โ
๎ซ
๎ฏ
๎จ
๎ฏ
๎ฏ
๎ฏ
=
1
(
7
)
T
h
e
f
in
al
eq
u
atio
n
o
f
r
esid
u
e
i
s
o
b
tain
ed
as
(
8
)
:
๎
(
๎
)
=
๎
(
๎
)
โ
โ
๎ซ
๎ฏ
๎จ
๎ฏ
๎ฏ
๎ฏ
=
1
(
8
)
Af
ter
d
ec
o
m
p
o
s
itio
n
o
f
th
e
E
E
G,
E
MG
s
ig
n
al,
th
e
r
esu
lts
o
f
t
h
e
f
in
al
s
ig
n
al
is
o
b
tain
e
d
b
y
(
9
)
:
๎
(
๎
)
=
๎
(
๎
)
+
โ
๎ซ
๎ฏ
๎จ
๎ฏ
๎ฏ
๎ฏ
=
1
(
9
)
2.
1
.
2
.
I
m
pro
v
ed
CE
E
M
DA
N
(
I
CE
E
M
DA
N)
I
m
p
r
o
v
ed
c
o
m
p
lete
e
n
s
em
b
le
em
p
ir
ical
m
o
d
e
d
ec
o
m
p
o
s
itio
n
with
ad
a
p
tiv
e
n
o
is
e
(
I
C
E
E
MD
AN
)
m
eth
o
d
is
b
ased
o
n
t
h
e
last
tech
n
iq
u
e
cited
a
b
o
v
e,
n
am
ed
C
E
E
MD
AN
m
eth
o
d
[
2
3
]
-
[
2
5
]
:
T
h
e
o
p
er
ato
r
M(
.
)
co
m
p
u
tes th
e
lo
ca
l m
ea
n
o
f
th
e
E
E
G
o
r
E
MG
s
ig
n
al
in
th
is
r
esear
ch
.
T
h
e
I
C
E
E
MD
AN
m
e
th
o
d
is
o
b
tain
ed
b
y
th
e
f
o
llo
win
g
s
tep
s
.
T
h
e
s
ig
n
al
(
)
(
)
(
)
(
)
()
01
ii
x
n
x
n
E
w
n
๏ข
=+
is
o
r
ig
in
al
with
wh
ite
Gau
s
s
ien
n
o
is
e
wh
er
e:
๎
0
=
๎ฐ
0
๎ฏฆ๎ฏง
๎ฏ
(
๎ฏซ
)
๎ฏฆ๎ฏง
๎ฏ
(
๎ฎพ
1
(
๎ฏช
๎ณ
(
๎ฏก
)
)
)
T
h
e
wh
ite
Gau
s
s
ian
n
o
is
e
i
s
im
p
o
r
tan
t
to
ca
lcu
late
an
d
g
en
er
ate
th
e
n
ew
ex
tr
em
a
with
th
e
n
ew
v
er
s
io
n
o
f
th
e
E
MD
m
eth
o
d
.
T
h
ese
n
ew
ex
tr
em
a
a
r
e
m
o
r
e
im
p
o
r
tan
t
to
g
iv
e
th
e
n
ew
lo
c
al
m
ea
n
.
T
h
e
lo
ca
l
m
ea
n
s
is
ca
lcu
lated
u
s
in
g
r
ea
l
izatio
n
I
o
f
th
e
E
MD
tech
n
iq
u
e
ap
p
lied
o
n
th
e
b
io
m
ed
ical
s
ig
n
al
to
o
b
tain
th
e
f
ir
s
t r
esid
u
e:
()
1
()
i
r
M
w
=
๏ก
๏ฑ
โ
Th
e
m
o
d
e
f
o
r
k
=
1
is:
๎ซ
๎ฏ
๎จ
1
=
๎
(
๎
)
โ
๎
1
(
1
0
)
Th
e
n
e
x
t
re
s
id
u
e
p
re
se
n
ted
b
y
th
i
s e
q
u
a
ti
o
n
:
(
)
(
)
()
1
1
2
i
r
E
w
n
๏ข
+
;
th
e
n
th
e
2
I
M
F
is o
b
tain
e
d
b
y
(
1
1
)
:
๎ซ
๎ฏ
๎จ
2
=
๎
1
โ
๎
2
=
๎
1
โ
โจ
๎ฏ
(
๎
1
+
๎
1
๎ง
2
(
๎
(
๎ฏ
)
(
๎
)
)
)
โฉ
(
1
1
)
โ
F
o
r
p
=
3
,
โฆ,
P
c
a
lcu
late
th
e
p
th
r
e
sid
u
e
(
)
()
11
(
(
)
)
i
p
p
p
p
r
M
r
E
w
n
๏ข
โโ
=
๏ก
+
๏ฑ
โ
Ca
lcu
late
s th
e
p
t
h
m
o
d
e
๎ซ
๎ฏ
๎จ
๎ฏฃ
=
๎
๎ฏฃ
โ
1
โ
๎
๎ฏฃ
(
1
2
)
โ
Re
p
e
a
t
ste
p
d
f
o
r
n
e
x
t
p
.
Evaluation Warning : The document was created with Spire.PDF for Python.
๏ฒ
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
23
,
No
.
2
,
Au
g
u
s
t 2
0
2
1
:
829
-
8
3
6
832
2
.
2
.
B
io
m
edica
l
info
r
m
a
t
io
ns
T
h
e
E
E
G
an
d
E
MG
s
ig
n
als
a
r
e
u
s
ed
in
th
is
p
ap
er
,
th
ese
s
i
g
n
als
ar
e
n
atu
r
els
an
d
p
r
o
v
i
d
es
b
y
th
e
MI
T
-
B
I
H
d
atab
ase
[
8
]
.
T
esti
n
g
o
f
t
h
ese
s
ig
n
als
is
n
o
n
-
in
v
asiv
e;
th
ey
ca
n
s
h
o
w
th
e
n
o
r
m
alities
an
d
ab
n
o
r
m
alities
o
f
b
r
ain
an
d
m
u
s
cle
f
u
n
ctio
n
s
in
h
u
m
an
s
.
T
h
e
ab
n
o
r
m
al
s
ig
n
al
p
r
esen
ted
i
n
th
e
E
E
G
s
ig
n
al
ca
n
b
e
r
ep
r
esen
te
d
b
y
th
e
s
leep
d
i
s
o
r
d
er
in
t
h
e
ca
s
e
o
f
th
is
r
esear
ch
.
T
h
e
f
ir
s
t
s
u
b
ject
p
r
esen
ted
in
th
is
p
a
p
er
is
h
ea
lth
y
f
o
r
E
E
G
s
ig
n
al
an
d
th
e
s
ec
o
n
d
o
n
e
is
ab
n
o
r
m
al.
Fig
u
r
e
1
s
h
o
ws
th
e
E
E
G
s
ig
n
al
in
ca
s
e
o
f
n
eu
r
o
lo
g
ical
d
is
o
r
d
e
r
s
an
d
Fig
u
r
e
2
s
h
o
ws th
e
a
b
n
o
r
m
al
E
E
G
s
ig
n
al
Fig
u
r
e
1
.
No
r
m
al
E
E
G
s
ig
n
al
Fig
u
r
e
2
.
Ab
n
o
r
m
al
E
E
G
s
ig
n
al
T
h
e
elec
tr
o
m
y
o
g
r
am
test
ca
n
g
iv
e
m
o
r
e
in
f
o
r
m
atio
n
ab
o
u
t
th
e
s
tates
o
f
th
e
h
u
m
an
m
u
s
c
les.
E
MG
s
ig
n
als
h
av
e
a
g
o
o
d
f
ac
to
r
n
a
m
ed
MU
APs
wh
ich
g
i
v
es
th
e
m
o
r
p
h
o
lo
g
y
,
am
p
litu
d
e,
d
is
tan
ce
b
etwe
en
two
s
u
cc
ess
iv
e
MU
AP
s
,
an
d
th
e
f
r
eq
u
en
c
y
co
n
te
n
t
o
f
th
is
last
.
Fig
u
r
e
3
s
h
o
ws
th
e
E
MG
s
ig
n
al
with
n
eu
r
o
p
ath
y
an
d
F
ig
u
r
e
4
p
r
esen
ts
th
e
E
M
G
s
ig
n
al
with
m
y
o
p
ath
y
.
Fig
u
r
e
3
.
Ab
n
o
r
m
al
E
MG
s
ig
n
al:
Neu
r
o
p
ath
y
Fig
u
r
e
4
.
Ab
n
o
r
m
al
E
MG
s
ig
n
al:
My
o
p
ath
y
T
h
e
n
o
is
es
s
ig
n
als
u
s
ed
in
th
is
r
esear
ch
ar
e
m
u
s
cle
ar
tif
ac
ts
(
MA
)
,
B
asli
n
e
w
an
d
er
(
B
W
)
an
d
elec
tr
o
d
m
o
tio
n
(
E
M)
[
8
]
.
T
h
i
s
f
ir
s
t
n
o
is
e
s
h
o
wn
in
Fig
u
r
e
5
is
a
m
u
s
cle
ar
tifa
ct.
T
h
is
n
o
is
e
is
a
f
am
iliar
h
ig
h
f
r
eq
u
e
n
cy
s
ig
n
al
an
d
is
a
n
at
u
r
al
n
o
is
e
p
r
o
v
id
ed
b
y
t
h
e
M
I
T
-
B
I
H
Data
b
ase
[
8
]
.
T
h
e
s
p
e
ctr
u
m
o
f
t
h
e
m
u
s
cle
ar
tifa
ct
in
ter
f
er
es with
th
e
b
i
o
m
ed
ical
s
ig
n
als.
T
h
is
n
o
is
e
s
h
o
wn
in
Fig
u
r
e
6
is
th
e
b
aselin
e
wan
d
er
.
T
h
is
n
o
is
e
is
th
e
o
r
ig
in
o
f
t
h
e
p
atien
t'
s
m
o
v
em
en
t.
o
r
th
e
lead
s
.
T
h
e
b
aselin
e
wan
d
er
is
a
lo
w
-
f
r
eq
u
e
n
cy
f
am
ily
an
d
is
a
n
atu
r
al
n
o
i
s
e
p
r
o
v
id
ed
b
y
th
e
MI
T
-
B
I
H
d
atab
ase
[
8
]
.
T
h
e
e
lectr
o
d
e
m
o
tio
n
n
o
is
e
is
o
n
e
o
f
th
e
d
if
f
icu
lt
n
o
is
es
to
m
in
i
m
ize
b
ec
au
s
e
it
ca
n
im
itate
th
e
E
C
G
s
ig
n
al
co
m
p
o
n
en
ts
.
Gen
er
ally
is
o
b
tain
ed
b
y
in
ter
m
itten
t
m
ec
h
an
ics.
T
h
i
s
ar
tifa
ct
ca
n
n
o
t
b
e
d
elete
d
with
o
u
t
d
if
f
icu
lty
b
y
c
o
n
v
en
tio
n
al
m
eth
o
d
s
,
as
ca
n
o
th
er
n
o
is
e
an
d
is
a
n
atu
r
al
n
o
i
s
e
p
r
o
v
id
ed
b
y
t
h
e
MI
T
-
B
I
H
d
at
ab
ase
[
8
]
.
F
ig
u
r
e
7
s
h
o
ws th
e
elec
tr
o
d
m
o
tio
n
(
E
M)
ar
tifa
ct.
Fig
u
r
e
5
.
No
is
e
s
ig
n
al
m
u
s
cle
ar
tef
ac
t (
MA
)
Fig
u
r
e
6
.
No
is
e
s
ig
n
al
B
aselin
e
wan
d
er
(
B
W
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
๏ฒ
Den
o
is
in
g
elec
tr
o
myo
g
r
a
m
a
n
d
elec
tr
o
en
ce
p
h
a
l
o
g
r
a
m
s
ig
n
a
ls
โฆ
(
S
.
E
lo
u
a
h
a
m
)
833
Fig
u
r
e
7
.
No
is
e
s
ig
n
al
elec
tr
o
d
m
o
tio
n
(
E
M)
T
h
e
cr
ea
tio
n
o
f
th
e
n
o
is
e
as wh
ite
n
o
is
e,
B
W
,
MA
,
an
d
E
M
n
ee
d
s
f
u
n
ctio
n
s
in
MA
T
L
AB
th
at
p
er
m
it
it to
g
en
er
ate.
I
n
t
h
is
r
esear
ch
,
we
u
s
ed
a
f
u
n
ctio
n
t
h
at
ass
o
ciate
d
th
e
n
atu
r
al
n
o
is
es a
s
B
W
,
MA
,
an
d
E
M,
th
is
f
u
n
ctio
n
is
C
N
.
T
h
e
C
N
in
d
ic
ates
th
e
r
ea
lis
tic
ar
tifa
ct
t
h
at
i
m
p
ed
es
th
e
E
E
G
an
d
E
MG
r
e
g
is
tr
atio
n
.
T
h
e
C
N
n
o
is
e
in
ter
f
er
e
d
with
th
e
r
ea
l
an
d
clea
n
E
E
G
an
d
E
MG
s
ig
n
als,
an
d
th
e
wh
ite
n
o
is
e
is
ad
d
ed
with
d
if
f
er
e
n
t
v
alu
es o
f
t
h
e
s
ig
n
al
-
to
-
n
o
is
e
r
atio
(
SNR
)
.
C
N
co
m
p
o
s
ed
n
o
i
s
e
is
g
iv
en
by
f
o
llo
win
g
e
q
u
at
io
n
[
17
]:
๎ฅ๎ฐ
=
โ
๎ฏฅ
๎ฏ
๎ฏ
๎ฏช
*
๎ฎป๎ฏ
+
๎ฏฅ
๎ฏ
๎ฏ
๎ฏ
*
๎ฎพ๎ฏ
+
๎ฏฅ
๎ฏ
๎ฏข๎ฏ
*
๎ฏ๎ฎบ
๎ฏฅ
๎ฏ
๎ฏ
๎ฏช
+
๎ฏฅ
๎ฏ
๎ฏ
๎ฏ
+
๎ฏฅ
๎ฏ
๎ฏข๎ฏ
(
13
)
T
h
e
p
er
ce
n
tag
e
o
f
n
o
is
e
ad
d
e
d
to
th
e
B
W
is
d
ef
in
ed
b
y
r
b
a
w=
2
,
th
e
E
M
n
o
is
e
is
d
ef
in
ed
b
y
r
elm
=2
,
an
d
th
e
MA
n
o
is
es
ar
e
d
ef
in
e
d
b
y
r
m
o
a=
5
.
T
h
e
e
v
alu
atio
n
o
f
th
e
r
esu
lts
o
b
tain
ed
b
y
t
h
e
alg
o
r
ith
m
s
u
s
ed
in
th
is
r
esear
ch
u
s
in
g
th
e
in
d
icato
r
s
th
e
SNR
im
p
r
o
v
em
en
t
OUT
S
NR
an
d
MSE
.
T
h
e
lo
w
MSE
v
alu
es
an
d
h
ig
h
SNR
_
im
p
v
alu
es in
d
icate
th
e
ef
f
ec
t p
er
f
o
r
m
s
o
f
th
e
d
e
n
o
is
in
g
m
eth
o
d
s
.
T
h
e
m
etr
ics ar
e
c
alcu
lated
as
(1
4
)
:
2
1
1
(
(
)
(
)
)
k
k
z
M
SE
z
n
n
k
=
=โ
๏ฅ
(
14
)
T
h
e
SNR
eq
u
atio
n
in
d
icate
s
t
h
e
r
o
b
u
s
tn
ess
o
f
th
e
m
eth
o
d
s
b
y
g
iv
in
g
h
i
g
h
v
alu
es
th
at
d
em
o
n
s
tr
ate
th
e
p
er
f
o
r
m
an
c
e
o
f
d
e
n
o
is
in
g
an
d
r
esto
r
atio
n
o
f
s
ig
n
al
s
h
a
p
es,
o
n
t
h
e
o
t
h
er
h
an
d
,
th
e
l
o
w
v
alu
es
o
f
MSE
s
h
o
w
s
th
e
p
o
wer
f
u
l
m
eth
o
d
.
T
h
e
OUT
S
NR
eq
u
atio
n
is
o
b
t
ain
ed
b
y
(
1
5
)
:
๎ต๎ฐ
๎ด
๎ฏ
๎ฏ๎ฏ
(
๎๎ค
)
=
10*
๎๎๎
10
(
โ
[
๎ฏญ
(
๎ฏก
)
]
2
๎ฒผ
โ
1
๎ณ
=
0
โ
[
๎ฏญ
(
๎ฏก
)
โ
๎ฏญ
(
๎ฏก
)
]
2
๎ฒผ
โ
1
๎ณ
=
0
)
(
1
5
)
with
z
(
n
)
is
th
e
E
E
G
s
ig
n
al
b
ef
o
r
e
a
d
d
in
g
t
h
e
n
o
is
e
,
()
zn
is
r
esu
lts
af
ter
d
e
-
n
o
is
in
g
th
e
E
E
G
an
d
E
MG
s
ig
n
als
an
d
N
is
th
e
n
u
m
b
er
o
f
b
io
m
ed
ical
len
g
th
s
ig
n
als u
s
ed
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
E
MG
s
ig
n
als
g
en
er
ally
in
ter
f
er
e
with
n
atu
r
al
n
o
is
es
th
at
h
id
e
u
s
ef
u
l
in
f
o
r
m
a
tio
n
.
T
h
is
in
f
o
r
m
atio
n
h
as
m
o
r
e
s
ig
n
if
ic
an
t
m
ea
n
in
g
th
at
ex
p
lain
s
h
o
w
th
e
m
u
s
cl
es
wo
r
k
an
d
g
iv
es
wh
er
e
th
e
p
r
o
b
lem
s
ex
is
t.
I
n
th
is
r
esear
ch
,
E
MG
s
ig
n
als
ar
e
co
n
tam
in
ate
d
b
y
th
e
co
m
p
o
s
ed
n
o
is
es;
co
n
tain
in
g
E
M,
B
W
,
MA
an
d
wh
ite
n
o
is
e.
W
e
u
s
ed
(
13
)
;
th
is
eq
u
atio
n
co
m
b
i
n
es
th
e
f
o
u
r
n
o
is
es
cited
ab
o
v
e.
T
h
e
d
en
o
is
in
g
tech
n
iq
u
es
ap
p
lied
o
n
th
e
E
MG
s
ig
n
al
s
ar
e
th
e
C
E
E
MD
AN
m
eth
o
d
an
d
its
I
C
E
E
MD
AN
v
ar
ian
t.
T
h
e
f
ilter
in
g
tech
n
iq
u
es
ar
e
a
p
p
lied
o
n
a
b
n
o
r
m
al
m
y
o
p
ath
y
an
d
n
eu
r
o
p
at
h
y
s
ig
n
als
with
d
if
f
er
en
t
SNR
.
T
ab
le
1
s
h
o
ws
th
e
r
esu
lts
o
b
tain
ed
b
y
th
ese
m
eth
o
d
s
.
Fig
u
r
e
8
p
r
esen
ts
th
e
MS
E
o
f
ab
n
o
r
m
al
E
MG
s
ig
n
al
with
n
eu
r
o
p
ath
y
.
T
ab
le
1
.
MSE
o
f
n
o
r
m
al
an
d
a
b
n
o
r
m
al
E
MG
s
ig
n
als
S
i
g
n
a
l
S
N
R
โ
โ
d
B
โ
โ
M
y
o
p
a
t
h
y
N
e
u
o
p
a
t
h
y
I
C
EEM
D
A
N
C
EE
M
D
A
N
I
C
EEM
D
A
N
C
EE
M
D
A
N
0
0
.
0
1
0
7
5
0
.
0
1
0
7
7
0
.
2
3
0
4
9
0
.
2
3
1
0
2
5
0
.
0
0
4
3
9
0
.
0
0
4
4
0
0
.
1
0
1
4
4
0
.
1
0
1
9
4
10
0
.
0
0
2
3
6
0
.
0
0
2
3
7
0
.
0
6
0
6
4
0
.
0
6
1
0
7
1
5
0
.
0
0
1
7
1
0
.
0
0
1
7
1
0
.
0
4
8
0
3
0
.
0
4
8
2
6
Evaluation Warning : The document was created with Spire.PDF for Python.
๏ฒ
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
23
,
No
.
2
,
Au
g
u
s
t 2
0
2
1
:
829
-
8
3
6
834
Fig
u
r
e
8
.
E
MG
s
ig
n
al
with
n
e
u
r
o
p
ath
y
T
h
e
E
E
G
s
ig
n
als
ca
n
b
e
c
o
n
t
am
in
ated
b
y
o
cu
lar
ar
tifa
cts
(
OA)
;
th
ese
n
o
is
es
ar
e
th
e
s
o
u
r
ce
s
o
f
ey
e
m
o
v
em
en
t
a
n
d
b
lin
k
in
g
.
T
h
e
ch
an
g
es
in
th
e
d
ir
ec
tio
n
o
f
t
h
e
co
r
n
ea
d
ip
o
le,
r
etin
a
a
n
d
f
lu
tter
p
r
o
d
u
ce
t
h
e
o
cu
lar
n
o
is
e.
E
E
G
an
d
E
OG
ca
n
p
r
o
p
ag
ate
to
th
e
s
u
r
f
ac
e
o
f
th
e
s
ca
lp
,
th
r
o
u
g
h
th
e
m
ed
iu
m
o
f
v
o
l
u
m
e
co
n
d
u
ctio
n
ef
f
ec
t.
T
ab
le
2
p
r
e
s
en
ts
th
e
r
esu
lt
s
o
f
th
e
SN
R
t
o
th
e
ab
n
o
r
m
al
E
E
G
s
ig
n
al.
T
ab
le
3
p
r
esen
ts
th
e
r
esu
lts
o
f
th
e
SNR
co
m
p
ar
ed
to
n
o
r
m
al
E
E
G
s
ig
n
al.
Fig
u
r
e
s
9
an
d
1
0
p
r
esen
t
t
h
e
SNR
ev
alu
atio
n
o
f
n
o
r
m
al
an
d
ab
n
o
r
m
al
E
E
G
s
ig
n
als
co
n
tam
in
ated
b
y
E
OG
s
ig
n
al
an
d
wh
ite
n
o
is
e
with
1
0
(
d
B
)
et
2
0
(
d
B
)
.
T
h
e
ch
o
ice
o
f
th
e
1
0
d
B
an
d
2
0
d
B
is
r
el
ated
to
th
e
lev
el
o
f
n
o
is
e
th
at
ca
n
b
e
in
t
h
e
m
id
d
le
b
etwe
e
n
th
e
h
ig
h
an
d
lo
w
v
alu
es
o
f
th
e
SNR
.
T
h
e
m
etr
i
c
u
s
ed
f
o
r
ev
alu
atio
n
an
d
c
o
m
p
ar
is
o
n
th
e
d
e
f
o
u
r
d
e
n
o
is
in
g
m
eth
o
d
s
ar
e
SNR
g
iv
en
b
y
(
13
)
.
T
h
e
T
ab
les
2
an
d
3
s
h
o
w
t
h
e
r
o
b
u
s
tn
ess
o
f
th
e
n
ew
tech
n
i
q
u
e
ca
lled
I
C
E
E
MD
AN
th
at
p
r
esen
ts
th
e
h
ig
h
v
alu
es
(
1
9
,
9
3
3
0
4
7
2
,
1
0
,
0
8
7
2
8
5
7
)
o
f
SNR
2
0
d
B
an
d
1
0
d
B
f
o
r
t
h
e
n
o
r
m
al
E
E
G
s
ig
n
al
co
m
p
ar
ed
with
th
e
C
E
E
MD
AN
(
1
9
,
8
8
6
7
6
4
1
;1
0
,
0
8
6
2
7
5
4
)
E
E
MD
(
1
9
,
7
1
0
9
5
2
8
;
1
0
,
0
4
2
1
4
9
6
)
E
MD
(
1
7
,
6
3
3
8
5
7
1
;9
,
7
4
0
8
9
1
7
)
an
d
th
e
s
am
e
r
esu
lts
ar
e
o
b
tain
ed
f
o
r
th
e
a
b
n
o
r
m
al
E
E
G
s
ig
n
al.
T
h
e
T
a
b
le
1
p
r
esen
ts
t
h
e
lo
w
v
al
u
es
o
f
th
e
MSE
o
b
tain
ed
b
y
th
e
d
en
o
is
in
g
m
eth
o
d
ca
lled
I
C
E
E
MD
AN
co
m
p
ar
ed
with
th
e
C
E
E
MD
AN
tech
n
iq
u
e.
T
h
e
MSE
o
f
t
h
e
a
b
n
o
r
m
al
E
MG
s
ig
n
al
with
m
y
o
p
ath
y
an
d
n
eu
r
o
p
ath
y
o
b
tain
e
d
b
y
I
C
E
E
MD
AN
(
0
,
0
1
0
7
5
;
0
,
2
3
0
4
9
)
C
E
E
MD
AN
(
0
,
0
1
0
7
7
;
0
,
2
3
1
0
2
)
.
T
h
e
q
u
ality
o
f
th
e
s
ig
n
al
is
d
ep
en
d
in
g
o
n
th
e
lev
el
o
f
th
e
r
esto
r
atio
n
a
n
d
t
h
e
elim
in
atio
n
o
f
th
e
n
o
is
e
th
at
in
ter
f
e
r
ed
with
th
e
b
io
m
e
d
ical
s
ig
n
al
u
s
ed
i
n
th
is
p
a
p
er
.
Fro
m
th
e
r
esu
lts
,
th
e
I
C
E
E
MD
AN
m
et
h
o
d
s
h
o
ws
h
ig
h
p
er
f
o
r
m
a
n
ce
an
d
p
o
wer
ac
co
r
d
in
g
to
t
h
e
r
esu
lts
o
b
tain
ed
f
r
o
m
th
e
MSE
an
d
SNR
m
etr
i
cs;
wh
en
r
ef
o
r
m
i
n
g
th
e
E
E
G
an
d
E
MG
s
ig
n
als
wi
th
co
m
p
o
s
ite
n
o
is
e
f
il
ter
in
g
,
th
e
r
esu
lts
o
b
tain
ed
ar
e
b
etter
th
an
th
o
s
e
o
b
tain
ed
in
o
u
r
r
esear
ch
p
u
b
lis
h
ed
in
th
e
s
e
r
esu
lts
[
7
]
.
T
ab
le
2
.
OUT
S
NR
o
f
d
e
n
o
is
in
g
tech
n
iq
u
es
S
N
R
e
n
d
B
10
dB
20
dB
I
C
EEM
D
A
N
10
.
0
9
4
8
8
6
8
20
.
0
2
5
6
9
0
2
C
EE
M
D
A
N
10
.
0
8
8
3
0
7
1
19
.
9
8
8
6
3
0
9
EEM
D
10
.
0
4
5
6
3
6
9
19
.
5
1
1
8
0
4
1
EM
D
10
.
0
0
9
1
2
7
1
18
.
9
1
4
0
3
2
5
T
ab
le
3
.
OUT
S
NR
o
f
d
e
n
o
is
in
g
tech
n
iq
u
es
S
N
R
e
n
d
B
10
dB
20
dB
I
C
EEM
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[1
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Evaluation Warning : The document was created with Spire.PDF for Python.