I
nte
rna
t
io
na
l J
o
urna
l o
f
Rec
o
nfig
ura
ble a
nd
E
m
be
dd
e
d Sy
s
t
e
m
s
(
I
J
R
E
S)
Vo
l.
14
,
No
.
2
,
J
u
ly
20
25
,
p
p
.
412
~
4
2
7
I
SS
N:
2089
-
4864
,
DOI
:
1
0
.
1
1
5
9
1
/i
j
r
es
.
v
1
4
.
i
2
.
p
p
4
1
2
-
427
412
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
r
es.ia
esco
r
e.
co
m
A custo
m
reduce
d instru
ction se
t
c
o
m
put
er
-
V
ba
sed
a
rchitec
t
ure
for r
ea
l
-
ti
m
e
elect
ro
ca
rdio
g
ra
m
f
ea
ture
ex
traction
Vina
y
a
k
Vi
kra
m
Sh
i
nd
e
,
Sh
ee
t
a
l U
m
es
h B
ha
nd
a
ri
,
Dee
p
t
i Sneha
l K
hu
rg
e
,
Sa
t
y
a
s
hil
Da
s
ha
ra
t
h
Na
g
a
ra
le
,
Uj
wa
l R
a
m
es
h Shi
ro
de
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
T
e
l
e
c
o
mm
u
n
i
c
a
t
i
o
n
En
g
i
n
e
e
r
i
n
g
,
P
i
m
p
r
i
C
h
i
n
c
h
w
a
d
C
o
l
l
e
g
e
o
f
En
g
i
n
e
e
r
i
n
g
,
P
u
n
e
,
I
n
d
i
a
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
A
p
r
7
,
2
0
2
4
R
ev
i
s
ed
A
p
r
1
4
,
2
0
2
5
A
cc
ep
ted
J
u
n
1
0
,
2
0
2
5
T
h
e
g
ro
w
in
g
d
e
m
a
n
d
f
o
r
e
n
e
rg
y
-
e
ff
icie
n
t
a
n
d
re
a
l
-
ti
m
e
b
io
m
e
d
i
c
a
l
sig
n
a
l
p
ro
c
e
ss
in
g
in
w
e
a
ra
b
le
d
e
v
ice
s
h
a
s
n
e
c
e
ss
it
a
ted
th
e
d
e
v
e
lo
p
m
e
n
t
o
f
a
p
p
li
c
a
ti
o
n
-
sp
e
c
if
ic
a
n
d
re
c
o
n
f
ig
u
ra
b
le
e
m
b
e
d
d
e
d
h
a
rd
w
a
re
a
rc
h
it
e
c
tu
re
s.
T
h
is
p
a
p
e
r
p
re
se
n
ts
th
e
re
g
ister
t
ra
n
sf
e
r
le
v
e
l
(RTL
)
d
e
sig
n
a
n
d
s
im
u
latio
n
o
f
a
c
u
sto
m
re
d
u
c
e
d
in
stru
c
ti
o
n
se
t
c
o
m
p
u
t
er
-
V
(RIS
C
-
V
)
b
a
se
d
h
a
rd
w
a
re
a
rc
h
it
e
c
tu
re
tailo
re
d
f
o
r
re
a
l
-
ti
m
e
e
lec
tro
c
a
rd
io
g
ra
m
(EC
G
)
f
e
a
tu
re
e
x
trac
ti
o
n
,
f
o
c
u
sin
g
o
n
R
-
p
e
a
k
d
e
tec
ti
o
n
a
n
d
h
e
a
rt
ra
te
(HR)
c
a
lcu
latio
n
.
T
h
e
p
ro
p
o
se
d
sy
ste
m
c
o
m
b
in
e
s
ECG
-
sp
e
c
i
f
ic
f
u
n
c
ti
o
n
a
l
b
lo
c
k
s
i
n
c
lu
d
in
g
a
sp
e
c
ialize
d
ECG
a
rit
h
m
e
ti
c
lo
g
ic
u
n
it
a
n
d
a
f
in
it
e
sta
te
m
a
c
h
in
e
-
b
a
se
d
ECG
c
o
n
tro
l
u
n
it
w
it
h
a
c
o
m
p
a
c
t
1
6
-
b
it
RIS
C
-
V
c
o
n
tro
l
c
o
re
.
Ha
rd
w
a
r
e
-
o
p
ti
m
ize
d
a
lg
o
rit
h
m
s
a
r
e
u
se
d
to
c
a
rr
y
o
u
t
p
re
-
p
ro
c
e
ss
i
n
g
a
c
ti
v
it
ies
su
c
h
h
ig
h
-
p
a
ss
a
n
d
l
o
w
-
p
a
ss
f
il
terin
g
a
s
we
ll
a
s
fe
a
tu
re
e
x
tr
a
c
ti
o
n
p
ro
c
e
ss
e
s
in
c
lu
d
in
g
m
o
v
in
g
a
v
e
ra
g
e
f
il
teri
n
g
,
d
e
riv
a
ti
v
e
c
a
lcu
latio
n
,
a
n
d
t
h
re
sh
o
l
d
-
b
a
se
d
p
e
a
k
i
d
e
n
ti
f
ica
ti
o
n
.
De
sig
n
e
d
t
o
re
d
u
c
e
m
e
m
o
r
y
f
o
o
tp
rin
t
a
n
d
c
o
n
tro
l
c
o
m
p
lex
it
y
,
a
c
u
sto
m
in
stru
c
ti
o
n
se
t
a
rc
h
it
e
c
t
u
re
su
p
p
o
rts
m
o
d
u
lar
re
c
o
n
f
ig
u
ra
b
il
it
y
.
F
u
n
c
ti
o
n
a
l
v
a
li
d
a
ti
o
n
is
c
a
rried
o
u
t
b
y
X
il
in
x
V
iv
a
d
o
sim
u
latin
g
RTL
c
o
m
p
o
n
e
n
ts
d
e
s
c
rib
e
d
i
n
v
e
ry
h
ig
h
sp
e
e
d
in
teg
ra
ted
c
ircu
it
(
V
HSIC
)
h
a
rd
w
a
re
d
e
sc
rip
ti
o
n
la
n
g
u
a
g
e
(V
HD
L
)
.
T
h
e
p
re
se
n
t
w
o
rk
sh
o
w
s
su
c
c
e
ss
f
u
l
si
m
u
latio
n
o
f
im
p
o
rtan
t
a
rc
h
it
e
c
tu
ra
l
c
o
m
p
o
n
e
n
ts,
c
o
m
p
lete
s
y
ste
m
-
le
v
e
l
in
teg
ra
ti
o
n
a
n
d
c
u
sto
m
ECG
d
a
ta
v
a
li
d
a
ti
o
n
.
T
h
is
w
o
rk
p
ro
v
id
e
s th
e
b
a
sis f
o
r
a
n
a
p
p
li
c
a
ti
o
n
-
sp
e
c
if
ic,
re
c
o
n
f
ig
u
ra
b
le,
p
o
w
e
r
e
ff
i
c
ien
t
h
a
rd
w
a
re
so
lu
ti
o
n
f
o
r
e
m
b
e
d
d
e
d
h
e
a
lt
h
-
m
o
n
it
o
ri
n
g
d
e
v
ice
s
.
K
ey
w
o
r
d
s
:
A
r
it
h
m
etic
lo
g
ic
u
n
it
C
u
s
to
m
ar
c
h
itect
u
r
e
E
lectr
o
ca
r
d
io
g
r
am
co
n
tr
o
l u
n
i
t
I
n
s
tr
u
c
tio
n
s
et
ar
c
h
itect
u
r
e
R
ed
u
ce
d
in
s
tr
u
ct
io
n
s
et
co
m
p
u
ter
-
V
R
eg
i
s
ter
tr
an
s
f
er
le
v
el
R
-
p
ea
k
d
etec
tio
n
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Vin
a
y
ak
V
ik
r
a
m
S
h
in
d
e
Dep
ar
t
m
en
t o
f
E
lectr
o
n
ics a
n
d
T
elec
o
m
m
u
n
icatio
n
E
n
g
in
ee
r
in
g
P
im
p
r
i C
h
ic
n
h
w
ad
C
o
lleg
e
o
f
E
n
g
i
n
ee
r
i
n
g
Ak
u
r
d
i,
P
u
n
e,
I
n
d
ia
E
m
ail: s
h
i
n
d
ev
i
n
a
y
ak
1
9
2
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
W
ea
r
ab
le
h
ea
lth
-
m
o
n
i
to
r
in
g
s
y
s
te
m
s
h
a
v
e
b
ec
o
m
e
i
n
cr
ea
s
in
g
l
y
i
m
p
o
r
tan
t
i
n
m
o
d
er
n
h
ea
lt
h
ca
r
e,
en
ab
lin
g
r
ea
l
-
ti
m
e
tr
ac
k
in
g
o
f
v
ita
l
s
i
g
n
s
a
n
d
ea
r
l
y
d
e
tectio
n
o
f
m
ed
ical
co
n
d
it
io
n
s
.
Am
o
n
g
t
h
ese,
elec
tr
o
ca
r
d
io
g
r
am
(
E
C
G)
m
o
n
ito
r
in
g
is
ess
e
n
tia
l
f
o
r
b
o
th
id
en
tify
i
n
g
an
d
tr
ea
tin
g
ca
r
d
io
v
asc
u
lar
co
n
d
itio
n
s
.
W
ea
r
ab
le
tech
n
o
lo
g
y
,
h
o
w
ev
e
r
,
r
e
q
u
ir
es
co
m
p
ac
t,
r
eliab
le,
s
m
al
l
an
d
en
er
g
y
-
e
f
f
icie
n
t
s
o
lu
tio
n
s
to
g
u
ar
an
te
e
co
n
tin
u
o
u
s
u
s
e
w
it
h
o
u
t
r
e
g
u
l
ar
ch
ar
g
i
n
g
.
T
ec
h
n
o
lo
g
ies
t
h
at
o
p
er
ate
o
n
E
C
G
r
ea
d
in
g
s
in
r
ea
l
-
ti
m
e
w
h
i
le
co
n
s
u
m
i
n
g
litt
le
p
o
w
er
an
d
a
ch
iev
in
g
h
ig
h
ac
cu
r
ac
y
ar
e
in
h
i
g
h
d
e
m
a
n
d
.
W
ith
an
e
m
p
h
asis
o
n
w
ea
r
ab
le
h
ea
lt
h
-
m
o
n
ito
r
in
g
ap
p
licatio
n
s
th
is
p
ap
er
aim
s
to
d
esig
n
a
p
o
w
er
-
e
f
f
icien
t
cu
s
to
m
h
ar
d
w
ar
e
ar
ch
itectu
r
e
th
a
t
is
o
p
ti
m
ized
f
o
r
ex
tr
ac
tin
g
E
C
G
ch
ar
ac
ter
is
t
ics.
T
h
e
ar
ch
i
tec
tu
r
e,
d
esi
g
n
ed
at
th
e
r
eg
i
s
ter
tr
an
s
f
er
le
v
el
(
R
T
L
)
u
s
i
n
g
v
er
y
h
i
g
h
s
p
ee
d
in
teg
r
at
ed
cir
cu
it
(
VH
SIC
)
h
ar
d
w
ar
e
d
escr
ip
tio
n
lan
g
u
ag
e
(
VHD
L
)
,
in
cl
u
d
es a
r
ed
u
ce
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
A
cu
s
to
m
r
ed
u
ce
d
in
s
tr
u
ctio
n
s
et
co
mp
u
ter
-
V
b
a
s
ed
a
r
ch
itec
tu
r
e
fo
r
r
ea
l
-
time
…
(
V
in
a
ya
k
V
ikra
m
S
h
in
d
e
)
413
in
s
tr
u
ctio
n
s
et
co
m
p
u
ter
-
V
(
R
I
SC
-
V)
b
ased
co
n
tr
o
l
co
r
e
an
d
d
ed
icate
d
h
ar
d
w
ar
e
b
lo
ck
s
f
o
r
id
en
tif
icatio
n
o
f
k
e
y
E
C
G
f
ea
tu
r
es
s
u
c
h
as
R
-
p
ea
k
s
a
n
d
h
ea
r
t
-
r
ate.
T
h
e
n
ee
d
f
o
r
ef
f
ec
tiv
e
w
ea
r
ab
le
h
ea
lth
m
o
n
ito
r
in
g
s
y
s
t
e
m
s
an
d
th
e
i
n
cr
ea
s
i
n
g
i
n
ci
d
en
ce
o
f
ca
r
d
io
v
ascu
lar
d
is
ea
s
es
(
C
V
Ds)
ar
e
p
r
o
p
ellin
g
t
h
e
ar
ea
o
f
r
ea
l
-
ti
m
e
E
C
G
f
ea
t
u
r
e
ex
tr
ac
tio
n
f
o
r
w
a
r
d
.
On
e
i
m
p
o
r
tan
t
ar
ea
o
f
r
esear
c
h
is
m
a
k
i
n
g
ap
p
licatio
n
-
s
p
ec
i
f
ic
in
te
g
r
ated
cir
cu
it
s
(
A
SI
C
s
)
t
h
at
ar
e
d
esi
g
n
ed
to
h
an
d
le
E
C
G
s
i
g
n
als
w
it
h
litt
l
e
p
o
w
er
.
On
e
m
et
h
o
d
is
to
u
s
e
u
ltra
-
lo
w
p
o
w
er
ASI
C
s
with
p
ea
k
d
etec
tio
n
ca
p
ab
ilit
ies to
d
iag
n
o
s
e
C
VD
s
ea
r
l
y
o
n
[
1
]
.
T
h
ese
k
in
d
s
o
f
d
esig
n
s
ar
e
v
er
y
g
o
o
d
at
f
i
n
d
in
g
P
,
R
,
a
n
d
T
p
ea
k
s
in
th
e
E
C
G
s
i
g
n
a
l,
w
h
ic
h
is
i
m
p
o
r
ta
n
t
f
o
r
d
iag
n
o
s
i
n
g
C
VD
,
w
h
ile
u
s
in
g
as
lit
tle
p
o
w
er
as
p
o
s
s
ib
le
b
y
u
s
i
n
g
m
et
h
o
d
s
lik
e
s
el
f
-
ad
j
u
s
tab
le
d
is
ch
ar
g
e
r
ates
an
d
s
u
b
-
th
r
es
h
o
ld
r
eg
io
n
o
p
er
atio
n
.
Sim
i
lar
l
y
,
ef
f
o
r
ts
h
a
v
e
b
ee
n
ai
m
ed
to
w
ar
d
s
A
SI
C
-
b
a
s
ed
E
C
G
p
r
o
ce
s
s
o
r
s
th
at
ca
n
p
r
ed
ict
ca
r
d
iac
ar
r
h
y
t
h
m
ia
[
2
]
.
T
h
ese
d
esig
n
s
f
o
cu
s
o
n
tak
i
n
g
o
u
t
i
m
p
o
r
tan
t
E
C
G
f
ea
tu
r
es
a
n
d
u
s
i
n
g
c
lass
if
ier
s
,
li
k
e
Naiv
e
B
a
y
es,
to
p
r
ed
ict
v
e
n
tr
icu
lar
ar
r
h
y
th
m
ia
u
p
to
s
ev
er
a
l
h
o
u
r
s
in
ad
v
a
n
ce
.
T
h
is
s
h
o
w
s
t
h
at
p
r
o
ac
tiv
e
h
ea
lth
ca
r
e
m
ea
s
u
r
es
ar
e
p
o
s
s
ib
le.
T
h
e
u
s
e
o
f
ar
tif
icial
n
e
u
r
al
n
e
t
w
o
r
k
s
(
A
N
Ns)
in
E
C
G
p
r
o
ce
s
s
o
r
A
SI
C
s
to
f
i
n
d
ar
r
h
y
t
h
m
ias
is
al
s
o
n
o
te
w
o
r
th
y
[
3
]
.
T
h
is
s
h
o
w
s
t
h
at
A
NN
ar
ch
i
tectu
r
e
s
an
d
o
p
tim
ized
R
-
p
ea
k
d
etec
ti
o
n
ca
n
p
r
o
v
id
e
h
ig
h
class
i
f
ica
tio
n
ac
cu
r
ac
y
w
it
h
lo
w
p
o
w
er
co
n
s
u
m
p
tio
n
,
m
ak
in
g
t
h
e
m
id
ea
l
f
o
r
lo
w
-
co
s
t
E
C
G
m
o
n
ito
r
in
g
.
Fu
r
th
er
m
o
r
e,
th
e
d
ev
elo
p
m
e
n
t
o
f
w
ea
r
ab
le
h
ea
lt
h
s
y
s
te
m
s
n
ee
d
s
i
m
p
r
o
v
ed
h
ar
d
w
ar
e
s
o
lu
t
io
n
s
.
A
s
t
u
d
y
o
f
lo
w
-
p
o
w
er
E
C
G
s
ig
n
al
p
r
o
ce
s
s
o
r
d
esig
n
s
s
h
o
w
s
i
m
p
o
r
tan
t d
esi
g
n
f
ac
to
r
s
a
n
d
ad
v
an
ta
g
es o
f
ASI
C
d
esig
n
s
b
ased
o
n
9
0
n
m
t
ec
h
n
o
lo
g
y
[
4
]
.
Oth
er
s
h
a
v
e
f
o
c
u
s
ed
o
n
g
et
tin
g
h
ea
r
t
r
ate
(
HR
)
in
f
o
r
m
atio
n
f
r
o
m
E
C
G
s
ig
n
al
s
,
u
s
in
g
f
u
zz
y
lo
g
ic
-
b
ased
al
g
o
r
it
h
m
s
to
g
et
v
er
y
lo
w
p
o
w
er
u
s
e
[
5
]
.
T
h
is
s
ig
n
if
ican
t
l
y
r
ed
u
ce
s
it
s
p
o
w
er
r
eq
u
ir
e
m
en
ts
w
h
il
e
p
r
o
v
id
in
g
s
u
f
f
icie
n
t
u
tili
t
y
.
Ot
h
er
m
et
h
o
d
s
o
f
d
etec
tin
g
ca
r
d
io
v
asc
u
lar
d
is
ea
s
e
s
i
n
clu
d
e
d
e
v
elo
p
in
g
u
ltra
-
lo
w
p
o
w
er
A
SI
C
s
th
at
u
tili
ze
f
o
r
w
ar
d
s
ea
r
ch
-
b
ased
d
iag
n
o
s
tic
alg
o
r
ith
m
s
to
ev
alu
ate
E
C
G
s
ig
n
al
s
in
r
ea
l
ti
m
e
w
h
ile
co
n
s
u
m
i
n
g
as
litt
le
p
o
w
er
as
p
o
s
s
ib
le
[
6
]
.
T
h
e
ef
f
icie
n
c
y
o
f
t
h
e
alg
o
r
ith
m
s
is
s
till
i
m
p
o
r
ta
n
t.
R
ea
l
-
ti
m
e
QR
S
d
etec
tio
n
tec
h
n
iq
u
e
s
u
s
e
d
ig
ital
ass
e
s
s
m
e
n
ts
o
f
s
lo
p
e,
a
m
p
lit
u
d
e,
an
d
w
id
t
h
to
r
ed
u
ce
in
ter
f
er
e
n
ce
an
d
i
m
p
r
o
v
e
QR
S c
o
m
p
lex
id
e
n
ti
f
icatio
n
s
e
n
s
it
iv
i
t
y
[
7
]
.
R
I
SC
p
r
o
ce
s
s
o
r
s
,
p
ar
ticu
lar
l
y
R
I
SC
-
V,
ar
e
r
ec
eiv
i
n
g
a
lo
t
o
f
in
ter
es
t
in
e
m
b
ed
d
ed
s
y
s
te
m
s
d
u
e
to
th
eir
f
le
x
ib
ilit
y
a
n
d
o
p
en
ar
ch
itect
u
r
e.
T
h
is
i
s
i
n
ad
d
itio
n
to
ad
v
a
n
ce
m
e
n
ts
in
A
SI
C
s
.
T
h
er
e
h
as
b
ee
n
d
is
cu
s
s
io
n
r
eg
ar
d
in
g
h
o
w
R
I
SC
-
V
m
icr
o
p
r
o
ce
s
s
o
r
s
ca
n
b
e
u
s
ed
i
n
ed
u
ca
tio
n
,
w
it
h
a
p
ar
ticu
lar
f
o
c
u
s
o
n
p
ip
elin
e
ar
ch
itect
u
r
es
t
h
at
ca
n
b
e
u
s
ed
in
b
o
th
ed
u
ca
tio
n
an
d
f
ield
p
r
o
g
r
a
m
m
ab
le
g
ate
ar
r
ay
s
(
FP
G
A
s
)
a
n
d
ASI
C
s
[
8
]
.
So
m
e
m
et
h
o
d
s
u
s
e
th
e
w
av
ele
t
tr
an
s
f
o
r
m
to
im
p
r
o
v
e
th
e
en
er
g
y
ef
f
icie
n
c
y
o
f
E
C
G
r
ec
o
r
d
in
g
an
d
R
-
p
ea
k
d
etec
tio
n
[
9
]
.
I
t
h
as
a
h
ig
h
C
R
o
f
1
0
.
3
an
d
a
p
er
ce
n
tag
e
r
o
o
t
-
m
ea
n
-
s
q
u
ar
e
d
if
f
er
en
ce
o
f
0
.
6
4
%
w
h
e
n
it
is
r
ec
o
r
d
in
g
.
I
t
also
h
as
a
9
9
.
7
2
%
s
en
s
iti
v
it
y
f
o
r
R
-
p
ea
k
r
ec
o
g
n
itio
n
an
d
a
9
9
.
4
9
%
p
o
s
itiv
e
p
r
ed
ictio
n
r
ate
w
h
e
n
th
e
d
ata
is
s
h
r
u
n
k
b
y
1
3
.
6
8
ti
m
es.
A
g
r
ea
ter
a
m
o
u
n
t
o
f
w
o
r
k
i
s
b
ein
g
ca
r
r
ied
o
u
t
o
n
m
e
th
o
d
s
f
o
r
d
esig
n
in
g
R
I
S
C
-
V
p
r
o
ce
s
s
o
r
s
,
w
h
ich
w
ill
m
a
k
e
i
t
s
i
m
p
ler
to
m
a
k
e
d
is
tin
c
t
t
y
p
e
s
o
f
p
r
o
ce
s
s
o
r
s
[
1
0
]
.
Mic
r
o
ar
ch
itectu
r
e
d
esi
g
n
an
d
s
tu
d
y
o
f
R
I
S
C
-
V
in
s
tr
u
c
tio
n
s
et
ar
ch
itec
tu
r
e
(
I
S
A
)
-
co
m
p
at
ib
le
p
r
o
ce
s
s
o
r
s
ar
e
also
lo
o
k
ed
in
to
,
esp
ec
ially
h
o
w
in
s
tr
u
ctio
n
s
et
s
af
f
ec
t
th
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
p
ip
elin
e
[
1
1
]
.
Ver
ilo
g
ca
n
also
b
e
u
s
ed
to
b
u
ild
a
s
in
g
le
c
y
cl
e
R
I
SC
-
V
p
r
o
ce
s
s
o
r
[
1
2
]
.
So
m
e
d
esig
n
s
u
s
e
3
2
-
b
it
p
r
o
ce
s
s
o
r
s
to
m
ak
e
d
ev
ice
s
th
at
ar
e
ec
o
n
o
m
ical
[
1
3
]
.
A
3
2
-
b
it
R
I
SC
-
V
b
ased
s
y
s
te
m
,
s
p
an
n
i
n
g
R
T
L
to
g
r
ap
h
ic
d
atab
ase
s
y
s
te
m
I
I
(
GDSI
I
)
,
is
f
u
r
t
h
er
d
esig
n
ed
an
d
i
m
p
le
m
en
ted
u
s
i
n
g
th
is
m
e
th
o
d
f
o
r
m
ed
ical
ap
p
licatio
n
s
[
1
4
]
.
A
co
m
p
lete
s
t
u
d
y
o
f
E
C
G
s
i
g
n
al
r
ev
ea
l
s
,
to
g
et
h
er
w
i
th
m
et
h
o
d
o
lo
g
ies
f
o
r
i
m
p
r
o
v
ed
ac
cu
r
ac
y
[
1
5
]
,
h
o
w
cr
u
cial
au
to
m
ated
m
et
h
o
d
s
an
d
R
-
p
ea
k
r
ec
o
g
n
itio
n
ar
e.
FP
GA
s
also
allo
w
f
o
r
th
e
co
n
s
tr
u
ctio
n
o
f
s
ig
n
al
p
r
o
ce
s
s
in
g
cir
cu
its
[
1
6
]
.
T
h
is
s
y
s
te
m
h
as
FP
G
A
,
an
E
C
G
o
u
tp
u
t
ca
n
h
elp
o
n
e
d
eter
m
i
n
e
th
e
HR
[
1
7
]
.
C
h
ip
s
th
at
ar
e
h
i
g
h
l
y
i
n
te
g
r
ated
an
d
u
s
e
litt
le
p
o
w
er
h
a
v
e
b
ee
n
m
ad
e
f
o
r
h
a
n
d
lin
g
E
C
G
s
ig
n
als
in
w
ea
r
ab
le
tech
,
m
o
s
tl
y
h
ea
lth
ca
r
e
d
ev
ice
s
[
1
8
]
,
[
1
9
]
.
On
e
s
tu
d
y
i
n
w
h
ich
a
n
R
-
p
ea
k
id
e
n
ti
f
icatio
n
alg
o
r
it
h
m
w
as
cr
ea
ted
an
d
m
o
d
eled
u
s
i
n
g
V
HD
L
in
Xili
n
x
I
SE
1
4
.
6
s
h
o
w
s
a
s
ig
n
i
f
ica
n
t
m
e
th
o
d
:
u
s
i
n
g
E
C
G
s
i
g
n
al
an
al
y
s
is
to
FP
GAs.
Usi
n
g
t
h
e
MI
T
-
B
I
H
A
r
r
h
y
t
h
m
ia
E
C
G
d
atab
ase,
th
e
s
y
s
te
m
w
a
s
co
n
f
ir
m
ed
to
co
n
s
is
ten
tl
y
ex
tr
ac
t
f
ea
t
u
r
es
f
o
r
b
ea
t
-
to
-
b
ea
t
in
ter
v
al
id
en
ti
f
ic
atio
n
[
2
0
]
.
A
lo
w
-
co
m
p
le
x
it
y
f
ea
tu
r
e
ex
tr
ac
tio
n
ap
p
r
o
ac
h
d
esig
n
ed
f
o
r
p
o
w
er
an
d
r
eso
u
r
ce
ef
f
icie
n
c
y
w
a
s
p
r
esen
ted
in
a
d
if
f
er
e
n
t
s
tu
d
y
.
T
o
av
o
id
f
lo
atin
g
-
p
o
in
t
o
p
er
atio
n
s
,
th
e
ar
ch
itect
u
r
e
u
s
ed
b
asic
co
m
p
u
tatio
n
al
co
m
p
o
n
e
n
ts
in
c
lu
d
i
n
g
co
m
p
ar
ato
r
s
,
s
h
i
f
ter
s
,
an
d
ad
d
er
s
,
w
h
ic
h
g
r
ea
tl
y
lo
w
er
ed
p
o
w
er
co
n
s
u
m
p
tio
n
w
it
h
j
u
s
t
7
3
8
p
J
at
1
MH
z
an
d
1
9
8
V.
Sy
n
t
h
esized
w
it
h
1
8
0
n
m
co
m
p
le
m
e
n
tar
y
m
etal
o
x
id
e
s
e
m
ico
n
d
u
cto
r
(
C
MO
S)
tech
n
o
lo
g
y
,
t
h
e
Vir
te
x
-
7
FP
GA
w
a
s
u
s
ed
to
co
n
s
tr
u
ct
th
e
d
esi
g
n
,
w
h
ich
r
ev
ea
led
en
er
g
y
r
ed
u
ctio
n
s
o
f
u
p
to
1
2
8
tim
es o
v
er
tr
ad
itio
n
al
tech
n
iq
u
es [
2
1
]
.
FP
GA
-
b
ased
s
y
s
te
m
s
h
a
v
e
a
ls
o
b
ee
n
in
v
es
tig
ated
f
o
r
r
ea
l
-
ti
m
e
a
n
d
p
ar
allel
p
r
o
ce
s
s
in
g
o
f
E
C
G
s
ig
n
al
s
.
A
s
u
g
g
ested
s
y
s
te
m
w
a
s
test
ed
as
a
s
y
s
te
m
-
on
-
c
h
i
p
(
So
C
)
d
esig
n
a
n
d
r
etr
iev
ed
E
C
G
ch
ar
ac
ter
is
tics
.
Usi
n
g
th
e
MI
T
-
B
I
H
A
r
r
h
y
th
m
ia
d
atab
ase,
th
e
n
e
w
tec
h
n
iq
u
e
w
as
v
er
i
f
ied
ag
ai
n
s
t
M
A
T
L
A
B
r
o
u
tin
e
s
,
s
h
o
w
i
n
g
a
n
o
v
er
all
d
etec
tio
n
to
ler
an
ce
o
f
0
.
0
1
s
ec
o
n
d
s
an
d
s
tr
ess
i
n
g
t
h
e
v
iab
ili
t
y
o
f
p
ar
allel
p
r
o
ce
s
s
in
g
f
o
r
p
r
ec
is
e
r
ea
l
-
ti
m
e
a
n
al
y
s
i
s
[
2
2
]
.
L
o
w
-
co
m
p
le
x
it
y
a
n
d
p
o
w
er
-
ef
f
icie
n
t
alg
o
r
it
h
m
s
ar
e
ab
s
o
lu
tel
y
n
ec
ess
ar
y
g
iv
e
n
t
h
e
g
r
o
w
i
n
g
n
ee
d
f
o
r
w
ea
r
ab
le
E
C
G
m
o
n
ito
r
in
g
.
On
e
s
tu
d
y
s
u
g
g
e
s
ted
an
ASI
C
i
m
p
le
m
en
ta
tio
n
-
o
p
ti
m
ized
R
-
p
ea
k
d
etec
tio
n
tech
n
iq
u
e.
Fo
r
n
o
is
e
r
ed
u
ctio
n
it
u
s
ed
d
i
g
ital
an
d
en
v
elo
p
e
f
ilter
s
;
t
h
en
th
e
Hilb
er
t
tr
a
n
s
f
o
r
m
d
etec
ted
R
-
p
ea
k
ze
r
o
-
cr
o
s
s
i
n
g
s
.
W
h
e
n
e
v
alu
a
ted
o
n
t
h
e
MI
T
-
B
I
H
A
r
r
h
y
t
h
m
ia
d
atab
ase
[
2
3
]
,
th
e
m
et
h
o
d
attain
ed
a
h
ig
h
d
e
tectio
n
ac
cu
r
ac
y
o
f
9
9
.
8
1
%
an
d
s
en
s
i
tiv
it
y
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
2
,
J
u
l
y
20
25
:
412
-
4
2
7
414
9
9
.
8
7
%.
A
lo
w
-
p
o
w
er
E
C
G
s
ig
n
a
l
p
r
o
ce
s
s
i
n
g
m
et
h
o
d
w
as
lik
e
w
i
s
e
cr
ea
ted
w
it
h
a
R
I
S
C
-
V
C
P
U
to
lo
w
er
p
ac
em
a
k
er
p
o
w
er
u
s
e.
B
u
ilt
o
n
a
9
0
n
m
tech
n
o
lo
g
y
n
o
d
e,
th
e
s
u
g
g
ested
R
I
S
C
-
V
d
esig
n
u
s
ed
j
u
s
t
4
.
0
5
3
2
2
3
m
icr
o
w
atts
,
f
ar
less
t
h
a
n
co
n
v
en
tio
n
al
p
ac
e
m
ak
er
s
w
h
ic
h
u
s
u
all
y
u
s
e
b
et
w
ee
n
6
0
an
d
1
0
0
m
icr
o
w
atts
[
2
4
]
.
Sev
er
al
al
g
o
r
ith
m
s
h
a
v
e
b
ee
n
cr
ea
ted
to
id
en
tify
R
-
p
ea
k
s
u
n
d
er
r
ea
l
-
ti
m
e
r
e
s
tr
ictio
n
s
a
n
d
co
m
p
u
ti
n
g
ef
f
icien
c
y
f
o
r
lo
w
-
co
s
t
an
d
p
o
r
tab
le
E
C
G
m
o
n
ito
r
in
g
s
y
s
t
e
m
s
.
O
n
e
s
tu
d
y
cr
ea
ted
an
e
f
f
icien
t
s
y
s
te
m
f
o
r
e
m
b
ed
d
ed
p
r
o
ce
s
s
in
g
e
v
al
u
at
ed
u
s
i
n
g
E
C
G
w
av
e
f
o
r
m
d
atasets
.
De
m
o
n
s
tr
ati
n
g
th
e
f
ea
s
ib
ilit
y
o
f
lo
w
-
co
s
t
s
o
lu
tio
n
s
f
o
r
u
b
iq
u
ito
u
s
h
ea
l
t
h
ca
r
e
[
2
5
]
,
th
e
alg
o
r
it
h
m
w
a
s
ef
f
ec
ti
v
el
y
u
s
ed
i
n
a
s
m
ar
t
p
h
o
n
e
-
b
a
s
ed
E
C
G
ac
q
u
is
itio
n
s
y
s
te
m
.
A
p
ar
t
f
r
o
m
R
-
p
ea
k
id
e
n
ti
f
icatio
n
,
p
r
ed
ictiv
e
an
a
l
y
t
ics
an
d
E
C
G
s
i
g
n
a
l
class
i
f
icatio
n
h
a
v
e
b
ec
o
m
e
m
o
r
e
p
o
p
u
lar
.
Usi
n
g
a
Naïv
e
B
ay
e
s
class
i
f
ier
,
a
co
m
p
letel
y
i
n
te
g
r
ated
E
C
G
s
ig
n
al
p
r
o
ce
s
s
o
r
(
E
SP
)
w
a
s
cr
ea
ted
f
o
r
v
en
tr
icu
lar
ar
r
h
y
t
h
m
ia
p
r
ed
ictio
n
.
Usi
n
g
MI
T
P
h
y
s
io
Net
an
d
th
e
Am
er
ica
n
Hea
r
t
Ass
o
ciatio
n
d
atab
ases
,
th
e
E
SP
v
alid
ated
P
-
QR
S
-
T
ch
ar
ac
ter
is
tics
.
Occ
u
p
y
i
n
g
o
n
l
y
0
.
1
1
2
m
m
2
an
d
u
tili
zin
g
2
.
7
8
µ
W
at
1
0
k
Hz,
th
e
ar
ch
itect
u
r
e
cr
e
ated
u
s
i
n
g
a
6
5
n
m
C
MO
S
p
r
o
ce
s
s
r
ev
ea
led
th
e
p
r
ac
ticalit
y
o
f
ASI
C
-
b
ased
p
r
ed
ictiv
e
E
C
G
an
al
y
s
is
[
2
6
]
.
Am
o
n
g
u
p
co
m
i
n
g
in
n
o
v
atio
n
s
in
E
C
G
s
i
g
n
al
p
r
o
ce
s
s
i
n
g
ar
e
u
ltra
-
lo
w
-
p
o
w
er
f
ea
t
u
r
e
ex
tr
ac
tio
n
tech
n
iq
u
es
e
m
p
lo
y
i
n
g
a
w
a
v
e
let
tr
an
s
f
o
r
m
-
b
ased
ap
p
r
o
ac
h
f
o
r
r
ea
l
-
ti
m
e
QR
S
co
m
p
lex
id
en
ti
f
icatio
n
.
W
h
en
ass
es
s
ed
o
n
b
e
n
ch
m
ar
k
E
C
G
d
atasets
[
2
7
]
,
th
i
s
tec
h
n
iq
u
e
,
w
h
ic
h
w
a
s
i
m
p
le
m
en
ted
in
a
4
0
n
m
C
MO
S
tech
n
o
lo
g
y
,
m
ai
n
tai
n
ed
a
n
a
cc
u
r
ac
y
o
f
9
9
.
4
%
an
d
u
s
ed
as
litt
le
as
1
.
2
µW
.
Usi
n
g
c
o
n
v
o
l
u
tio
n
al
n
e
u
r
al
n
et
w
o
r
k
s
(
C
NNs),
an
o
t
h
er
r
esear
ch
p
r
esen
ted
a
d
ee
p
lear
n
in
g
-
b
ased
E
C
G
clas
s
if
icatio
n
m
o
d
el
th
at
co
u
ld
d
is
tin
g
u
is
h
b
et
w
ee
n
n
o
r
m
al
a
n
d
p
ath
o
lo
g
ical
ca
r
d
iac
r
h
y
th
m
s
.
E
x
a
m
i
n
ed
o
n
a
b
ig
d
atase
t,
th
e
m
o
d
el
s
h
o
w
ed
9
8
.
7
6
%
class
if
icatio
n
ac
cu
r
ac
y
,
h
en
ce
p
r
o
v
i
n
g
t
h
e
p
r
o
m
i
s
e
o
f
A
I
-
d
r
iv
e
n
E
C
G
d
iag
n
o
s
ti
cs
[
2
8
]
.
A
m
u
lt
i
m
o
d
a
l
tech
n
iq
u
e
co
m
b
i
n
i
n
g
E
C
G
with
p
h
o
to
p
leth
y
s
m
o
g
r
ap
h
y
(
P
P
G)
f
o
r
im
p
r
o
v
ed
HR
v
ar
ia
b
ilit
y
a
n
al
y
s
is
w
a
s
s
tu
d
ied
i
n
a
n
o
th
er
s
tu
d
y
.
W
ith
an
F1
-
s
co
r
e
o
f
9
5
.
3
%
[
2
9
]
,
th
i
s
co
m
b
i
n
atio
n
o
f
b
io
s
i
g
n
als
en
ab
led
b
etter
ac
cu
r
ac
y
i
n
ar
r
h
y
t
h
m
ia
id
en
ti
f
ic
atio
n
,
esp
ec
iall
y
i
n
atr
ial
f
ib
r
illatio
n
s
it
u
atio
n
s
.
A
t
last
,
s
ci
en
tis
ts
h
a
v
e
lo
o
k
ed
at
m
eth
o
d
s
o
f
e
n
er
g
y
h
ar
v
e
s
ti
n
g
to
r
u
n
p
o
r
tab
le
E
C
G
eq
u
ip
m
en
t.
P
av
in
g
th
e
d
o
o
r
f
o
r
s
elf
-
s
u
s
tai
n
i
n
g
h
ea
lt
h
m
o
n
ito
r
i
n
g
s
y
s
te
m
s
,
a
s
t
u
d
y
s
h
o
w
ed
a
n
E
C
G
s
e
n
s
o
r
d
r
iv
en
b
y
a
b
io
e
n
er
g
y
h
ar
v
e
s
ti
n
g
cir
cu
it
e
m
p
lo
y
i
n
g
th
er
m
o
elec
tr
ic
g
en
er
ato
r
s
g
u
ar
an
teei
n
g
co
n
tin
u
o
u
s
o
p
er
atio
n
w
it
h
o
u
t e
x
ter
n
al
b
atter
ies [
3
0
]
.
I
n
co
n
cl
u
s
io
n
,
t
h
e
r
esear
c
h
t
h
at
h
a
s
alr
ea
d
y
b
ee
n
d
o
n
e
s
h
o
w
s
t
h
at
t
h
er
e
ar
e
m
a
n
y
d
if
f
er
en
t
w
a
y
s
to
ex
tr
ac
t
f
ea
t
u
r
es
f
r
o
m
a
n
E
C
G
.
T
h
ese
in
cl
u
d
e
c
u
s
to
m
ASI
C
d
esig
n
s
an
d
f
le
x
ib
le
R
I
SC
-
V
i
m
p
le
m
e
n
tatio
n
s
.
T
h
is
p
ap
er
b
u
ild
s
o
n
th
e
s
e
f
in
d
in
g
s
to
p
r
esen
t
a
c
u
s
to
m
R
I
SC
-
V
-
b
ased
ar
ch
i
tectu
r
e
m
ad
e
f
o
r
ex
tr
ac
ti
n
g
f
ea
t
u
r
es
f
r
o
m
r
ea
l
-
ti
m
e
E
C
Gs.
T
h
e
g
o
al
is
to
u
s
e
t
h
e
b
est
p
a
r
ts
o
f
b
o
th
cu
s
to
m
h
a
r
d
w
ar
e
a
n
d
an
o
p
en
-
s
o
u
r
ce
,
f
le
x
ib
le
p
r
o
ce
s
s
o
r
co
r
e.
2.
M
E
T
H
O
D
T
h
e
d
esig
n
f
lo
w
o
f
cu
s
to
m
R
I
SC
-
V
b
ased
ar
ch
itectu
r
e
in
v
o
l
v
es
a
s
y
s
te
m
at
ic
ap
p
r
o
ac
h
,
c
o
n
s
i
s
ti
n
g
o
f
r
eq
u
ir
e
m
en
t
an
al
y
s
i
s
,
ar
ch
itectu
r
e
d
esig
n
,
alg
o
r
ith
m
d
e
v
elo
p
m
e
n
t,
R
T
L
d
esig
n
an
d
s
i
m
u
l
atio
n
an
d
f
u
n
ctio
n
a
l
v
alid
atio
n
:
a.
R
eq
u
ir
e
m
en
t
s
an
a
l
y
s
is
:
−
A
p
p
licatio
n
:
p
r
o
ce
s
s
in
g
E
C
G
s
ig
n
al
s
in
r
ea
l
-
ti
m
e
f
o
r
u
s
e
in
w
ea
r
ab
le
d
ev
ices.
−
P
o
w
er
co
n
s
u
m
p
tio
n
:
m
a
n
y
s
m
all
w
ea
r
ab
le
d
ev
ices
r
el
y
o
n
co
in
ce
ll
b
atter
ie
s
w
h
ic
h
g
e
n
er
all
y
p
r
o
v
id
e
a
ca
p
ac
it
y
o
f
ap
p
r
o
x
im
a
tel
y
2
0
0
m
Ah
an
d
lith
i
u
m
-
io
n
b
atter
ies
w
it
h
s
i
m
ilar
ca
p
ac
it
y
,
s
o
a
p
o
w
er
b
u
d
g
et
o
f
50
m
W
to
1
0
0
m
W
is
s
u
f
f
i
cien
t
f
o
r
ex
te
n
d
ed
b
atter
y
life
.
T
h
is
r
an
g
e
is
co
n
s
is
te
n
t
w
it
h
th
e
p
o
w
e
r
co
n
s
u
m
p
tio
n
o
f
ex
is
t
in
g
w
ea
r
ab
le
d
ev
ices
an
d
ca
n
b
e
ac
h
iev
ed
t
h
r
o
u
g
h
a
co
m
b
i
n
atio
n
o
f
lo
w
-
p
o
w
er
d
esig
n
tech
n
iq
u
e
s
,
cir
cu
it o
p
ti
m
is
a
tio
n
s
,
al
g
o
r
ith
m
o
p
ti
m
is
at
io
n
s
an
d
ca
r
ef
u
l se
lectio
n
o
f
co
m
p
o
n
en
t
s
.
−
R
ea
l
-
ti
m
e
p
er
f
o
r
m
an
ce
:
t
h
e
a
r
ch
itect
u
r
e
is
d
esig
n
ed
to
p
r
o
ce
s
s
E
C
G
s
i
g
n
a
ls
as
s
h
o
w
n
in
Fig
u
r
e
1
in
r
ea
l
-
ti
m
e
f
o
r
R
-
p
ea
k
d
etec
ti
o
n
an
d
HR
ca
lc
u
latio
n
f
r
o
m
d
ig
itized
E
C
G
s
i
g
n
als.
Fo
r
th
e
f
u
n
ctio
n
a
l
s
i
m
u
lat
io
n
s
,
d
i
g
itized
E
C
G
d
ata
w
a
s
g
e
n
er
ated
u
s
i
n
g
p
y
th
o
n
to
e
m
u
late
th
e
o
u
tp
u
t
o
f
a
n
a
n
alo
g
to
d
i
g
ital
co
n
v
er
ter
(
A
D
C
)
at
a
s
am
p
li
n
g
r
ate
o
f
2
0
0
Hz
-
500
Hz.
T
h
is
r
an
g
e
is
s
elec
ted
f
o
r
th
e
A
D
C
as
p
er
th
e
N
y
q
u
i
s
t
-
S
h
an
n
o
n
s
a
m
p
li
n
g
th
eo
r
em
a
n
d
th
e
f
r
eq
u
en
c
y
co
n
ten
t
o
f
t
h
e
E
C
G
s
ig
n
al
s
.
C
li
n
icall
y
r
elev
a
n
t
E
C
G
f
ea
tu
r
es
ar
e
f
o
u
n
d
b
etw
ee
n
0
.
0
5
Hz
to
4
0
Hz
r
an
g
e.
W
h
ile
a
lo
w
er
s
a
m
p
li
n
g
r
ate
w
o
u
ld
b
e
s
u
f
f
icie
n
t,
h
o
w
e
v
er
200
Hz
-
5
0
0
Hz
p
r
o
v
id
es a
s
af
et
y
m
ar
g
i
n
an
d
r
ed
u
ce
s
an
ti
-
al
iasi
n
g
i
m
p
e
r
f
ec
tio
n
s
.
−
Featu
r
e
e
x
tr
ac
tio
n
:
t
h
e
s
y
s
te
m
is
d
es
ig
n
ed
to
id
en
ti
f
y
an
d
ex
tr
ac
t
k
e
y
f
ea
t
u
r
es
f
r
o
m
p
r
e
-
p
r
o
ce
s
s
ed
E
C
G
s
ig
n
al.
T
h
e
f
o
cu
s
is
o
n
R
-
p
ea
k
d
etec
tio
n
an
d
h
ea
r
-
r
ate
ca
lc
u
latio
n
d
u
e
to
t
h
eir
f
u
n
d
a
m
en
t
al
i
m
p
o
r
tan
ce
a
s
in
d
icato
r
s
o
f
ca
r
d
iac
f
u
n
ctio
n
an
d
th
eir
u
s
ab
ilit
y
in
v
ar
io
u
s
h
ea
lth
m
o
n
ito
r
i
n
g
s
ce
n
ar
io
s
.
Fig
u
r
e
1
r
ep
r
esen
ts
an
E
C
G
wav
ef
o
r
m
th
at
r
ep
r
esen
t
s
th
e
el
ec
tr
ical
ac
tiv
it
y
o
f
t
h
e
h
ea
r
t
an
d
in
clu
d
e
s
m
ai
n
co
m
p
o
n
en
t
s
s
u
c
h
as
P
-
w
a
v
e
,
QR
S
co
m
p
le
x
,
T
-
w
a
v
e
,
an
d
P
R
/QT
in
ter
v
als.
T
h
e
P
w
av
e
d
e
m
o
n
s
tr
ate
s
atr
ial
d
ep
o
lar
izatio
n
w
h
ile
QR
S
co
m
p
le
x
d
e
m
o
n
s
tr
ate
s
v
en
tr
ic
u
lar
d
ep
o
lar
izatio
n
n
ec
es
s
ar
y
f
o
r
h
ea
r
t
co
n
tr
ac
tio
n
.
T
h
e
T
w
av
e
s
h
o
w
s
v
e
n
tr
icu
lar
r
ep
o
lar
izatio
n
an
d
th
e
ST
s
eg
m
en
t
r
ep
r
esen
ts
h
ea
r
ts
r
ec
o
v
er
y
p
h
ase.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
A
cu
s
to
m
r
ed
u
ce
d
in
s
tr
u
ctio
n
s
et
co
mp
u
ter
-
V
b
a
s
ed
a
r
ch
itec
tu
r
e
fo
r
r
ea
l
-
time
…
(
V
in
a
ya
k
V
ikra
m
S
h
in
d
e
)
415
Fig
u
r
e
1
.
E
C
G
s
i
g
n
al
w
a
v
e
f
o
r
m
b.
A
r
c
h
itect
u
r
e
d
esig
n
:
−
I
n
p
u
t
m
o
d
u
le:
f
o
r
f
u
n
ct
io
n
al
s
i
m
u
latio
n
p
u
r
p
o
s
e,
t
h
e
i
n
p
u
t
m
o
d
u
le
i
n
cl
u
d
es a
b
eh
a
v
io
r
al
m
o
d
el
o
f
a
1
2
-
b
it
s
u
cc
e
s
s
i
v
e
ap
p
r
o
x
i
m
at
io
n
r
eg
i
s
ter
(
S
A
R
)
A
D
C
.
I
n
a
h
ar
d
w
a
r
e
i
m
p
le
m
e
n
tat
io
n
,
a
S
AR
ADC
ar
ch
i
tectu
r
e
w
o
u
ld
b
e
s
elec
ted
d
u
e
its
p
o
w
er
e
f
f
ic
ien
c
y
,
g
o
o
d
s
p
ee
d
an
d
r
ed
u
ce
d
ar
ea
m
a
k
i
n
g
it
well
-
s
u
itab
le
f
o
r
w
ea
r
ab
le
ap
p
licatio
n
s
.
I
n
t
h
is
p
ap
er
,
a
b
eh
av
io
r
al
m
o
d
el
is
u
s
ed
to
g
en
er
ate
t
h
e
o
u
tp
u
t
o
f
w
h
at
a
1
2
-
b
i
t
A
D
C
h
av
e.
A
1
2
-
b
it
r
eso
lu
t
io
n
p
r
o
v
id
es
s
u
f
f
ic
ien
t
p
r
ec
i
s
io
n
f
o
r
E
C
G
s
ig
n
al
a
n
al
y
s
i
s
,
ca
p
tu
r
in
g
t
h
e
d
y
n
a
m
ic
r
an
g
e
o
f
th
e
s
i
g
n
al
w
it
h
o
u
t
ex
ce
s
s
iv
e
o
v
er
h
ea
d
.
T
h
e
o
u
tp
u
t
o
f
th
e
m
o
d
el
h
as
a
s
a
m
p
lin
g
r
ate
o
f
200
Hz
to
5
0
0
Hz
g
u
id
ed
b
y
t
h
e
N
y
q
u
is
t
-
Sh
a
n
n
o
n
s
a
m
p
li
n
g
th
eo
r
e
m
.
−
E
C
G
co
n
tr
o
l
u
n
it
(
E
C
U)
:
th
i
s
u
n
it
is
i
m
p
le
m
e
n
ted
as
a
f
in
ite
s
tate
m
ac
h
i
n
e
(
FS
M)
to
c
o
n
tr
o
l
th
e
E
C
G
p
r
o
ce
s
s
in
g
s
ta
g
es.
T
h
e
FS
M
is
r
esp
o
n
s
ib
le
f
o
r
h
ig
h
-
p
ass
f
ilte
r
in
g
,
lo
w
-
p
ass
f
il
ter
in
g
,
R
-
p
ea
k
d
etec
tio
n
a
n
d
h
ea
r
t
-
r
ate
ca
lcu
la
tio
n
.
T
h
e
F
S
M
d
esig
n
h
as
s
tate
s
co
r
r
esp
o
n
d
in
g
to
ea
ch
s
i
g
n
al
p
r
o
ce
s
s
in
g
o
p
er
atio
n
.
E
ac
h
s
tate
is
r
esp
o
n
s
ib
le
f
o
r
a
s
p
ec
if
ic
h
ar
d
w
ar
e
o
p
er
atio
n
o
r
alg
o
r
ith
m
.
T
h
e
E
C
U
i
n
ter
ac
ts
w
i
th
m
e
m
o
r
y
u
n
it
to
p
ass
th
e
r
eq
u
ir
ed
in
p
u
t
s
i
g
n
als
to
th
e
E
C
G
ar
it
h
m
e
tic
lo
g
i
c
u
n
it
(E
C
G_
AL
U)
a
n
d
also
s
to
r
e
th
e
o
u
tp
u
t
s
o
f
ea
ch
s
tate.
−
C
o
n
tr
o
l
u
n
it
(
C
U)
:
th
e
CU
is
i
m
p
le
m
en
ted
as
a
R
I
SC
-
V
b
ased
co
n
tr
o
l
co
r
e.
A
R
I
SC
-
V
b
ased
in
s
tr
u
c
tio
n
s
et
ar
ch
itect
u
r
e
is
u
tili
ze
d
f
o
r
f
lex
ib
le
co
n
tr
o
l o
v
er
s
y
s
te
m
o
p
er
atio
n
.
−
Sto
r
ag
e:
th
e
c
u
s
to
m
ar
c
h
itec
tu
r
e
f
ea
t
u
r
es
m
e
m
o
r
y
d
esi
g
n
in
ten
d
ed
f
o
r
o
n
-
c
h
ip
i
m
p
le
m
en
tatio
n
.
T
h
e
f
u
n
ctio
n
o
f
th
e
m
e
m
o
r
y
u
n
it
o
r
m
e
m
o
r
y
is
s
to
r
e
d
ata
an
d
in
s
tr
u
ctio
n
s
t
h
at
t
h
e
CU
n
ee
d
s
to
ac
ce
s
s
an
d
p
r
o
ce
s
s
.
T
h
e
m
e
m
o
r
y
ar
ch
itec
tu
r
e
is
Vo
n
-
Neu
m
a
n
n
b
ased
w
h
er
e
p
r
o
g
r
am
i
n
s
tr
u
ctio
n
s
an
d
d
ata
a
r
e
s
to
r
ed
in
s
i
n
g
le
m
e
m
o
r
y
.
T
h
e
m
e
m
o
r
y
is
i
n
ter
n
all
y
b
i
f
u
r
ca
ted
in
to
r
an
d
o
m
ac
ce
s
s
m
e
m
o
r
y
(
R
A
M
)
an
d
r
ea
d
o
n
l
y
m
e
m
o
r
y
(
R
OM
)
as p
er
th
e
u
s
a
g
e.
T
h
e
s
ize
o
f
th
e
m
e
m
o
r
y
is
4
KB
w
i
th
2
KB
o
f
ea
ch
R
A
M
an
d
R
OM
.
−
Ou
tp
u
t
m
o
d
u
le:
t
h
e
ar
ch
itect
u
r
e
f
ea
tu
r
es
a
g
e
n
er
al
-
pu
r
p
o
s
e
in
p
u
t/o
u
tp
u
t
(
GP
I
O)
m
o
d
u
l
e.
I
ts
r
o
le
is
to
co
m
m
u
n
icate
w
i
th
e
x
ter
n
al
d
ev
ices
s
u
c
h
as
L
C
D
d
is
p
la
y
s
.
I
n
a
h
ar
d
w
ar
e
i
m
p
le
m
en
tatio
n
t
h
e
GP
I
O
in
ter
f
ac
e
w
o
u
ld
b
e
u
tili
s
ed
f
o
r
tr
an
s
m
itti
n
g
h
ea
r
t
-
r
ate
an
d
o
th
er
h
elp
f
u
l
d
ata
f
o
r
r
ea
l
-
ti
m
e
m
o
n
ito
r
i
n
g
.
I
n
th
e
R
T
L
d
esig
n
,
it
s
i
m
p
l
y
m
a
p
s
a
1
6
-
b
it
in
p
u
t
d
ir
ec
tl
y
to
a
1
6
-
b
it
o
u
tp
u
t,
p
r
o
v
id
in
g
a
b
asic
in
ter
f
ac
e
f
o
r
d
ata
o
u
tp
u
t d
u
r
in
g
s
i
m
u
latio
n
.
c.
A
l
g
o
r
ith
m
d
ev
e
lo
p
m
en
t
:
P
r
e
-
p
r
o
ce
s
s
in
g
:
a
f
ir
s
t
s
ta
g
e
o
f
p
r
o
ce
s
s
in
g
o
n
th
e
d
i
g
iti
s
ed
E
C
G
s
a
m
p
le
s
.
T
h
is
s
ta
g
e
in
cl
u
d
es
n
o
is
e
r
ed
u
ctio
n
an
d
b
aseli
n
e
co
r
r
ec
tio
n
.
T
h
is
s
tag
e
co
m
p
r
i
s
es o
f
t
h
e
f
o
llo
w
in
g
:
−
Hig
h
-
p
a
s
s
f
ilter
i
n
g
:
a
f
ir
s
t
-
o
r
d
er
in
f
in
ite
i
m
p
u
l
s
e
r
esp
o
n
s
e
(
I
I
R
)
h
i
g
h
-
p
as
s
f
ilter
i
s
i
m
p
le
m
en
ted
to
r
e
m
o
v
e
b
aselin
e
w
a
n
d
er
,
a
s
lo
w
d
r
if
t
in
E
C
G
s
i
g
n
a
l.
T
h
is
co
n
f
i
g
u
r
atio
n
atten
u
ate
s
lo
w
-
f
r
eq
u
e
n
c
y
co
m
p
o
n
e
n
t
s
(
lik
e
b
aseli
n
e
w
a
n
d
er
)
an
d
p
as
s
es
h
i
g
h
f
r
eq
u
e
n
c
y
co
m
p
o
n
e
n
t
s
.
T
h
e
m
at
h
e
m
atica
l
eq
u
atio
n
is
d
is
c
u
s
s
ed
i
n
th
e
s
ec
tio
n
5.
−
L
o
w
-
p
a
s
s
f
ilter
i
n
g
:
a
f
ir
s
t o
r
d
er
I
I
R
lo
w
-
p
as
s
f
ilter
is
i
m
p
le
m
en
ted
to
eli
m
i
n
ate
h
ig
h
-
f
r
eq
u
e
n
c
y
n
o
is
e.
T
h
is
co
n
f
i
g
u
r
atio
n
atte
n
u
a
tes
h
ig
h
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
t
s
(
lik
e
n
o
is
e)
an
d
p
ass
es
lo
w
-
f
r
eq
u
e
n
c
y
co
m
p
o
n
e
n
ts
.
T
h
e
m
at
h
e
m
atica
l e
q
u
a
tio
n
i
s
d
is
cu
s
s
ed
in
t
h
e
s
ec
tio
n
5.
Featu
r
e
e
x
tr
ac
tio
n
:
t
h
is
s
ta
g
e
is
r
esp
o
n
s
ib
le
f
o
r
co
r
e
f
ea
t
u
r
e
ex
tr
ac
tio
n
p
r
o
ce
s
s
s
u
c
h
as
R
-
p
ea
k
d
etec
tio
n
an
d
h
ea
r
t
-
r
ate
ca
lcu
l
atio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
2
,
J
u
l
y
20
25
:
412
-
4
2
7
416
−
R
-
p
ea
k
d
etec
tio
n
:
a
r
o
b
u
s
t
R
-
p
ea
k
d
etec
tio
n
al
g
o
r
it
h
m
is
i
m
p
le
m
e
n
ted
co
m
b
in
i
n
g
m
o
v
i
n
g
av
er
a
g
e
f
ilter
,
w
it
h
d
er
iv
at
iv
e
ca
lc
u
latio
n
an
d
th
r
esh
o
ld
in
g
.
−
Mo
v
in
g
av
er
a
g
e
f
ilter
i
n
g
:
t
h
i
s
s
m
o
o
th
e
n
s
t
h
e
s
ig
n
al
b
y
a
v
e
r
ag
in
g
it
w
i
th
in
a
m
o
v
i
n
g
w
i
n
d
o
w
in
o
r
d
er
to
r
ed
u
ce
th
e
n
o
is
e
f
o
r
d
er
iv
ati
v
e
ca
lcu
latio
n
.
−
Der
iv
ati
v
e
ca
lcu
la
tio
n
:
t
h
e
s
lo
p
e
o
f
th
e
s
ig
n
al
i
s
ca
lcu
lated
u
s
i
n
g
th
e
eq
u
at
io
n
s
p
ec
i
f
ied
in
s
ec
tio
n
5
.
T
h
is
is
u
s
ed
to
d
etec
t th
e
s
h
ar
p
ch
a
n
g
e
s
in
t
h
e
s
i
g
n
al.
−
T
h
r
es
h
o
ld
in
g
:
d
etec
ts
R
-
p
ea
k
s
f
r
o
m
th
e
s
i
g
n
al,
a
n
d
co
m
p
ar
es
th
e
m
w
it
h
t
h
e
p
r
e
-
d
ef
in
ed
o
r
r
ef
er
en
ce
v
alu
e
s
an
d
d
ec
lar
es t
h
e
m
a
s
R
-
p
ea
k
s
.
−
HR
ca
lcu
la
tio
n
:
h
ea
r
t
-
r
ate
is
ca
lcu
lated
f
o
r
m
t
h
e
d
etec
ted
R
-
p
ea
k
s
b
y
m
ea
s
u
r
in
g
t
h
e
in
t
er
-
b
ea
t
in
ter
v
a
l
s
(
I
I
B
)
.
T
h
e
HR
ca
n
b
e
ca
lcu
lat
ed
w
it
h
eq
u
atio
n
f
r
o
m
s
ec
tio
n
5.
d.
R
T
L
d
esig
n
an
d
s
i
m
u
latio
n
T
h
e
p
r
o
p
o
s
ed
ar
ch
itectu
r
e,
s
h
o
w
n
in
F
ig
u
r
e
2
,
is
d
esig
n
ed
at
th
e
R
T
L
u
s
i
n
g
VHD
L
,
a
wid
el
y
u
s
ed
h
ar
d
w
ar
e
d
escr
ip
tio
n
la
n
g
u
a
g
e.
T
h
e
d
esig
n
m
et
h
o
d
o
lo
g
y
i
n
v
o
lv
e
s
a
to
p
m
o
d
u
le
as
w
ell
as
in
d
i
v
id
u
al
b
lo
ck
d
esig
n
ap
p
r
o
ac
h
es.
Xilin
x
Vi
v
ad
o
to
o
l
is
u
s
ed
f
o
r
s
im
u
lati
o
n
.
Si
m
u
latio
n
h
elp
s
in
v
er
i
f
y
in
g
t
h
e
f
u
n
c
tio
n
alit
y
o
f
th
e
d
esi
g
n
.
Ver
i
f
icatio
n
s
tr
ateg
y
w
a
s
d
esig
n
ed
to
test
an
d
ch
ec
k
t
h
e
in
d
i
v
id
u
a
l
m
o
d
u
les
alo
n
g
w
it
h
t
h
e
w
h
o
le
s
y
s
te
m
.
T
h
e
test
b
e
n
c
h
es
w
er
e
d
esi
g
n
ed
to
in
cl
u
d
e
g
e
n
er
atin
g
s
ti
m
u
lu
s
a
n
d
t
esti
n
g
f
o
r
d
if
f
er
e
n
t
s
ce
n
ar
io
s
.
Fig
u
r
e
2
.
C
u
s
to
m
R
I
SC
-
V
b
as
ed
ar
ch
itectu
r
e
f
o
r
E
C
G
p
r
o
ce
s
s
i
n
g
Fig
u
r
e
2
r
ep
r
esen
ts
a
cu
s
to
m
ar
ch
itect
u
r
e
f
o
r
E
C
G
s
ig
n
al
p
r
o
ce
s
s
in
g
w
it
h
all
th
e
m
aj
o
r
c
o
m
p
o
n
en
t
s
s
u
c
h
as
C
U,
ar
it
h
m
et
ic
lo
g
i
c
u
n
i
t
(
A
L
U
)
,
m
e
m
o
r
y
u
n
i
t,
p
r
o
g
r
am
co
u
n
ter
(
P
C
)
,
E
C
U
,
an
d
GP
I
O.
T
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
A
cu
s
to
m
r
ed
u
ce
d
in
s
tr
u
ctio
n
s
et
co
mp
u
ter
-
V
b
a
s
ed
a
r
ch
itec
tu
r
e
fo
r
r
ea
l
-
time
…
(
V
in
a
ya
k
V
ikra
m
S
h
in
d
e
)
417
o
p
er
atio
n
s
o
f
th
e
ar
ch
itect
u
r
e
ar
e
co
n
tr
o
lled
b
y
t
h
e
C
U.
T
h
e
C
U
f
etch
e
s
th
e
i
n
s
tr
u
ctio
n
f
r
o
m
th
e
m
e
m
o
r
y
u
s
i
n
g
P
C
an
d
s
to
r
es
it
i
n
t
h
e
in
s
tr
u
ctio
n
r
e
g
is
ter
(
I
R
)
.
T
h
e
in
s
tr
u
ctio
n
i
s
d
ec
o
d
ed
an
d
co
n
tr
o
l
s
ig
n
als
ar
e
g
en
er
ated
d
ir
ec
tin
g
th
e
f
lo
w
o
f
d
ata
b
etw
ee
n
th
e
v
ar
io
u
s
co
m
p
o
n
e
n
t
s
.
T
h
e
C
U
s
en
d
s
th
e
E
C
G
o
p
er
atio
n
s
ig
n
al
to
th
e
E
C
U
to
p
r
o
ce
ed
w
ith
E
C
G
s
p
ec
i
f
ic
o
p
er
atio
n
s
.
T
h
e
E
C
U
f
etc
h
es
s
a
m
p
les
f
r
o
m
t
h
e
m
o
d
elled
A
D
C
an
d
f
ee
d
s
it
to
th
e
E
C
G
_
AL
U
f
o
r
p
r
o
ce
s
s
in
g
.
T
h
e
f
i
n
al
r
esu
lt
is
s
to
r
ed
in
th
e
m
e
m
o
r
y
a
n
d
th
e
d
ata
is
o
u
tp
u
t
u
s
i
n
g
t
h
e
GP
I
O.
T
h
e
co
lo
u
r
in
g
s
c
h
e
m
e
u
s
ed
f
o
r
s
ig
n
al
s
in
t
h
e
ar
ch
itect
u
r
e
is
p
in
k
f
o
r
th
e
co
n
tr
o
l
s
ig
n
al
s
,
y
ello
w
f
o
r
d
ata
an
d
b
l
u
e
f
o
r
ad
d
r
ess
s
i
g
n
al
s
.
3.
I
M
P
L
E
M
E
NT
AT
I
O
N
T
h
e
cu
s
to
m
ar
ch
itectu
r
e
co
n
ta
in
s
t
h
e
f
o
llo
w
i
n
g
co
m
p
o
n
e
n
ts
:
3
.
1
.
Reg
is
t
er
s
(
R0
-
R3
)
R
eg
i
s
ter
s
p
la
y
a
k
e
y
r
o
le
in
t
h
is
ar
ch
itect
u
r
e
as
th
e
y
ar
e
u
s
e
d
as
te
m
p
o
r
ar
y
s
to
r
ag
e
f
o
r
o
p
er
an
d
s
an
d
in
ter
m
ed
iate
r
esu
lts
.
I
n
th
is
ar
ch
itect
u
r
e
f
o
u
r
g
e
n
er
al
p
u
r
p
o
s
e
r
eg
is
ter
s
ar
e
u
s
ed
:
R
0
,
R
1
,
R
2
,
an
d
R
3
.
W
h
er
e
R
3
is
a
r
etu
r
n
ad
d
r
ess
r
eg
is
ter
(
R
A
R
)
.
a.
R
etu
r
n
ad
d
r
ess
r
eg
is
ter
:
−
I
t te
m
p
o
r
ar
il
y
s
to
r
es th
e
r
et
u
r
n
ad
d
r
ess
d
u
r
in
g
a
j
u
m
p
o
r
s
u
b
r
o
u
tin
e
ca
ll.
−
W
h
en
a
C
AL
L
i
n
s
tr
u
ctio
n
is
e
x
ec
u
ted
t
h
e
cu
r
r
en
t
m
e
m
o
r
y
a
d
d
r
ess
o
f
th
e
P
C
is
s
to
r
ed
in
t
h
e
R
A
R
.
−
W
h
en
a
R
E
T
in
s
tr
u
ctio
n
i
s
ex
ec
u
ted
th
e
P
C
r
ec
o
v
er
s
t
h
e
ad
d
r
ess
s
to
r
ed
in
th
e
R
A
R
a
n
d
r
esu
m
es o
p
er
atio
n
f
r
o
m
t
h
at
ad
d
r
ess
.
b.
Fu
n
ctio
n
:
−
Used
as a
s
o
u
r
ce
an
d
d
esti
n
ati
o
n
f
o
r
AL
U
o
p
er
atio
n
s
.
−
Used
to
s
to
r
e
d
ata
tem
p
o
r
ar
il
y
d
u
r
in
g
m
e
m
o
r
y
tr
an
s
f
er
s
.
3
.
2
.
M
e
m
o
ry
T
h
e
m
e
m
o
r
y
u
n
it
is
a
n
i
m
p
o
r
tan
t
p
ar
t
o
f
th
e
ar
c
h
itect
u
r
e,
p
r
o
v
id
in
g
s
to
r
ag
e
s
p
ac
e
f
o
r
b
o
th
p
r
o
g
r
a
m
in
s
tr
u
ctio
n
s
an
d
d
ata
r
eq
u
ir
ed
f
o
r
E
C
G
s
ig
n
al
p
r
o
ce
s
s
i
n
g
.
Si
n
g
le
m
e
m
o
r
y
co
n
ce
p
t
is
u
s
ed
in
th
e
d
esi
g
n
d
u
e
t
o
its
s
i
m
p
licit
y
a
n
d
r
ed
u
ce
d
h
ar
d
w
ar
e
co
m
p
lex
i
t
y
.
I
t
is
i
n
te
r
n
all
y
d
iv
id
ed
in
to
t
w
o
t
y
p
e
s
:
d
ata
m
e
m
o
r
y
a
n
d
p
r
o
g
r
am
m
e
m
o
r
y
.
T
h
e
p
u
r
p
o
s
e
o
f
th
e
m
e
m
o
r
y
u
n
it is
to
s
to
r
e
th
e
f
o
llo
w
i
n
g
:
P
r
o
g
r
am
in
s
tr
u
c
tio
n
s
:
th
e
in
s
tr
u
ctio
n
s
th
at
co
n
tr
o
l
th
e
o
p
er
atio
n
o
f
R
I
SC
-
V
co
r
e
an
d
E
C
U
ar
e
s
to
r
ed
in
m
e
m
o
r
y
.
T
h
ese
in
s
tr
u
ct
io
n
s
d
ef
in
e
th
e
s
eq
u
e
n
ce
o
f
o
p
er
atio
n
s
o
f
R
I
SC
-
V
b
ased
I
SA
an
d
E
C
G
o
p
er
atio
n
in
s
tr
u
ctio
n
.
−
E
C
G
d
ata
s
a
m
p
les:
i
n
co
m
in
g
E
C
G
s
a
m
p
les
f
r
o
m
t
h
e
A
D
C
ar
e
s
to
r
ed
in
th
e
m
e
m
o
r
y
f
o
r
p
r
o
ce
s
s
in
g
.
T
h
i
s
in
cl
u
d
es b
o
th
th
e
r
a
w
d
i
g
itize
d
E
C
G
s
a
m
p
le
s
an
d
in
ter
m
ed
i
ate
E
C
G
p
r
o
ce
s
s
es r
es
u
lts
s
u
c
h
as
f
ilter
i
n
g
a
n
d
f
ea
t
u
r
e
ex
tr
ac
tio
n
.
−
Fil
ter
co
ef
f
icie
n
ts
:
t
h
e
co
ef
f
ici
en
ts
u
s
ed
b
y
d
ig
ital f
ilter
s
(
h
i
g
h
-
p
a
s
s
an
d
lo
w
-
p
a
s
s
)
ar
e
s
to
r
ed
in
m
e
m
o
r
y
.
−
Var
iab
les
an
d
te
m
p
o
r
ar
y
s
to
r
ag
e:
t
h
e
m
e
m
o
r
y
u
n
it
al
s
o
p
r
o
v
id
es
s
to
r
a
g
e
s
p
ac
e
f
o
r
v
ar
i
ab
les,
te
m
p
o
r
ar
y
r
esu
lt
s
,
i
m
m
ed
iates a
n
d
s
tac
k
s
p
ac
e
f
o
r
f
u
n
ctio
n
ca
lls
.
Data
m
e
m
o
r
y
(
R
AM
)
:
it
is
o
f
2
KB
in
s
ize.
I
t
is
u
s
ed
to
s
to
r
e
in
ter
m
ed
iate
r
esu
l
ts
,
A
DC
s
a
m
p
les
an
d
p
r
o
v
id
e
s
tack
s
p
ac
e
f
o
r
tem
p
o
r
ar
y
s
to
r
ag
e
s
u
c
h
as
b
u
f
f
er
s
an
d
s
tack
as
d
ep
icted
in
th
e
T
ab
le
1
.
Ta
b
le
1
r
ep
r
esen
ts
th
e
s
tr
u
ctu
r
e
o
f
t
h
e
d
ata
m
e
m
o
r
y
.
I
t
s
h
o
w
s
t
h
e
ad
d
r
ess
lo
ca
tio
n
s
in
m
e
m
o
r
y
alo
n
g
w
it
h
th
eir
s
ize
i
n
d
ec
i
m
al
f
o
r
v
ar
io
u
s
ap
p
licati
o
n
s
s
u
ch
a
s
g
e
n
er
al
-
p
u
r
p
o
s
e,
f
ir
s
t
-
in
-
f
ir
s
t
-
o
u
t
(
FIFO)
b
u
f
f
e
r
an
d
o
th
er
b
u
f
f
er
s
an
d
s
tack
.
T
ab
le
1
.
Data
m
e
m
o
r
y
s
tr
u
ctu
r
e
A
d
d
r
e
ss ran
g
e
P
u
r
p
o
se
0
x
0
8
0
0
–
0
x
0
EF
F
(
2
0
4
8
t
o
3
8
3
9
)
G
e
n
e
r
a
l
p
u
r
p
o
se
d
a
t
a
st
o
r
a
g
e
(
i
n
t
e
r
me
d
i
a
t
e
c
a
l
c
u
l
a
t
i
o
n
s)
.
0
x
0
F
0
0
–
0
x
0
F
0
F
(
3
8
4
0
t
o
3
8
5
5
)
F
I
F
O
b
u
f
f
e
r
f
o
r
A
D
C
samp
l
e
s.
0
x
0
F
1
0
0
x
0
F
5
F
(
3
8
5
6
t
o
3
9
3
5
)
B
u
f
f
e
r
s a
n
d
st
a
c
k
.
P
r
o
g
r
am
m
e
m
o
r
y
(
R
OM
)
:
I
t
is
o
f
2
K
B
in
s
ize
r
e
p
r
esen
ted
i
n
T
ab
le
2
.
I
t
is
u
s
ed
to
s
to
r
e
i
n
s
tr
u
ctio
n
s
f
o
r
s
a
m
p
li
n
g
,
f
ilter
i
n
g
,
R
-
p
ea
k
d
etec
tio
n
a
n
d
HR
ca
lcu
lati
o
n
s
.
Fi
x
ed
co
n
s
tan
t
s
o
r
v
al
u
es
ar
e
also
s
to
r
ed
.
T
ab
le
2
r
ep
r
esen
ts
th
e
s
tr
u
ctu
r
e
o
f
t
h
e
p
r
o
g
r
a
m
m
e
m
o
r
y
.
I
t s
h
o
w
s
t
h
e
ad
d
r
ess
lo
ca
tio
n
s
i
n
m
e
m
o
r
y
alo
n
g
w
i
t
h
th
eir
s
ize
in
d
ec
i
m
al
f
o
r
s
to
r
in
g
in
s
tr
u
c
tio
n
s
an
d
co
n
s
ta
n
ts
.
Me
m
o
r
y
m
ap
p
in
g
:
m
e
m
o
r
y
m
ap
p
in
g
is
u
s
ed
to
ac
ce
s
s
m
e
m
o
r
y
p
atter
n
s
a
n
d
r
ed
u
ce
ac
ce
s
s
ti
m
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
2
,
J
u
l
y
20
25
:
412
-
4
2
7
418
T
ab
le
2
.
P
r
o
g
r
am
m
e
m
o
r
y
s
tr
u
ctu
r
e
A
d
d
r
e
ss
r
a
n
g
e
P
u
r
p
o
se
0
x
0
0
0
0
–
0
x
0
7
F
F
(
0
t
o
2
0
4
7
)
S
t
o
r
e
s i
n
st
r
u
c
t
i
o
n
s a
n
d
c
o
n
st
a
n
t
s
3
.
3
.
P
r
o
g
ra
m
co
un
t
er
T
h
e
P
C
is
a
f
u
n
d
a
m
e
n
tal
r
eg
i
s
ter
in
th
e
p
r
o
p
o
s
ed
a
r
ch
itectu
r
e
f
o
r
p
r
o
ce
s
s
in
g
E
C
G
s
i
g
n
al
s
.
I
ts
m
ai
n
j
o
b
is
to
m
ain
tain
th
e
ad
d
r
ess
o
f
t
h
e
n
e
x
t
in
s
tr
u
c
tio
n
t
h
at
n
e
ed
s
to
b
e
f
etc
h
ed
a
n
d
ex
ec
u
te
d
.
I
t
ac
ts
a
p
o
in
ter
,
g
u
id
i
n
g
t
h
e
CU
th
r
o
u
g
h
th
e
p
r
o
g
r
a
m
co
d
e
s
to
r
ed
in
m
e
m
o
r
y
.
W
ith
o
u
t
p
r
o
g
r
a
m
co
u
n
ter
CU
w
ill
h
av
e
n
o
id
ea
w
h
er
e
to
lo
o
k
f
o
r
th
e
n
ex
t
i
n
s
tr
u
ctio
n
a
n
d
th
e
p
r
o
g
r
a
m
ex
ec
u
tio
n
w
o
u
ld
f
ail.
P
C
p
er
f
o
r
m
s
f
o
llo
w
i
n
g
tas
k
s
i
n
th
e
d
esi
g
n
:
3
.
3
.
1
.
I
ns
t
ruct
io
n seq
uencing
T
h
e
p
r
o
g
r
am
co
u
n
ter
m
a
k
es
s
u
r
e
t
h
at
t
h
e
i
n
s
tr
u
ctio
n
s
ar
e
r
u
n
o
n
e
af
ter
th
e
o
t
h
er
an
d
i
n
t
h
e
r
ig
h
t
o
r
d
er
.
A
n
y
ti
m
e
an
in
s
tr
u
ct
io
n
is
r
ea
d
f
r
o
m
t
h
e
m
e
m
o
r
y
ad
d
r
ess
th
at
th
e
P
C
p
o
in
ts
to
,
th
e
P
C
is
in
cr
em
e
n
ted
b
y
o
n
e
to
p
o
in
t to
th
e
n
e
x
t i
n
s
t
r
u
ctio
n
i
n
th
e
s
er
ies.
3
.
3
.
2
.
Sequ
ent
ia
l e
x
ec
utio
n
T
h
e
P
C
is
i
n
cr
ea
s
ed
a
f
ter
ea
c
h
i
n
s
tr
u
ctio
n
r
ea
d
in
s
i
m
p
lest
ca
s
e.
B
ec
au
s
e
o
f
t
h
i
s
t
h
e
i
n
s
tr
u
ctio
n
s
ar
e
ex
ec
u
ted
i
n
th
e
o
r
d
er
th
e
y
ap
p
ea
r
in
th
e
m
e
m
o
r
y
,
a
n
d
th
i
s
is
ca
lled
as seq
u
en
tial p
r
o
ce
s
s
i
n
g
.
3
.
3
.
3
.
B
ra
nchin
g
a
nd
j
u
m
p
in
g
T
h
e
P
C
ca
n
r
u
n
p
r
o
g
r
a
m
i
n
s
tr
u
ctio
n
s
t
h
at
ar
e
n
o
t
i
n
t
h
e
o
r
d
er
b
y
u
s
in
g
b
r
an
c
h
i
n
g
a
n
d
j
u
m
p
i
n
g
in
s
tr
u
ctio
n
s
:
−
B
r
an
ch
in
s
tr
u
c
tio
n
s
:
t
h
ese
i
n
s
t
r
u
c
tio
n
s
c
h
a
n
g
e
th
e
f
lo
w
o
f
e
x
ec
u
tio
n
d
ep
en
d
i
n
g
o
n
t
h
e
o
u
tc
o
m
e
o
f
a
tes
t o
r
co
m
p
ar
is
o
n
.
W
h
en
th
e
co
n
d
iti
o
n
is
m
e
t,
a
n
e
w
ad
d
r
ess
is
p
u
t
in
to
th
e
P
C
.
T
h
is
m
ak
e
s
th
e
p
r
o
g
r
a
m
g
o
to
d
if
f
er
e
n
t p
ar
t o
f
th
e
co
d
e.
−
J
u
m
p
in
s
tr
u
ct
io
n
s
:
in
j
u
m
p
i
n
s
tr
u
ctio
n
s
th
e
P
C
i
s
lo
ad
ed
w
it
h
n
e
w
ad
d
r
ess
th
at
c
h
a
n
g
es
t
h
e
f
lo
w
o
f
ex
ec
u
t
io
n
w
it
h
o
u
t a
n
y
co
n
d
iti
o
n
s
.
3
.
3
.
4
.
Su
bro
utine
ca
lls
a
nd
r
et
urns
T
h
e
P
C
is
v
er
y
i
m
p
o
r
tan
t f
o
r
s
u
b
r
o
u
tin
e
ca
l
ls
an
d
r
et
u
r
n
s
:
−
Su
b
r
o
u
ti
n
e
ca
ll
:
w
h
e
n
a
f
u
n
cti
o
n
o
r
s
u
b
r
o
u
tin
e
is
ca
lled
,
th
e
r
etu
r
n
ad
d
r
ess
is
g
en
er
all
y
p
u
s
h
ed
to
th
e
to
p
o
f
th
e
s
tac
k
a
n
d
th
e
ad
d
r
ess
o
f
th
e
f
ir
s
t in
s
tr
u
c
tio
n
i
n
th
e
s
u
b
r
o
u
tin
e
is
lo
ad
ed
in
to
t
h
e
P
C
.
−
Su
b
r
o
u
ti
n
e
r
etu
r
n
:
w
h
en
t
h
e
s
u
b
r
o
u
tin
e
is
d
o
n
e,
th
e
r
etu
r
n
a
d
d
r
ess
is
p
o
p
p
ed
f
r
o
m
th
e
s
ta
ck
an
d
is
lo
ad
ed
in
to
th
e
P
C
.
T
h
is
s
tar
t
s
th
e
p
r
o
g
r
a
m
e
x
ec
u
tio
n
f
r
o
m
t
h
e
ad
d
r
ess
w
h
en
t
h
e
s
u
b
r
o
u
ti
n
e
w
as c
alled
.
3
.
4
.
I
ns
t
ruct
io
n
re
g
is
t
er
T
h
e
I
R
is
a
n
i
m
p
o
r
tan
t
co
m
p
o
n
en
t
w
it
h
in
t
h
e
s
y
s
te
m
d
e
s
i
g
n
.
I
t
ac
t
s
as
a
te
m
p
o
r
ar
y
s
to
r
a
g
e
ar
ea
f
o
r
th
e
in
s
tr
u
c
tio
n
t
h
at
is
cu
r
r
e
n
tl
y
b
ei
n
g
ca
r
r
ied
o
u
t.
I
t’
s
lik
e
a
b
u
f
f
er
th
at
h
o
ld
s
t
h
e
in
s
tr
u
c
tio
n
w
h
i
le
th
e
C
U
d
ec
o
d
es
it
an
d
g
en
er
ates
th
e
r
eq
u
ir
ed
co
n
tr
o
l
s
ig
n
al
s
to
p
e
r
f
o
r
m
th
e
o
p
er
atio
n
.
T
h
e
d
at
a
s
to
r
ed
in
th
e
I
R
g
u
id
e
s
th
e
d
e
s
ig
n
o
n
th
e
p
ar
tic
u
lar
o
r
d
er
o
f
in
s
tr
u
ctio
n
s
to
p
er
f
o
r
m
.
T
h
e
in
s
tr
u
ctio
n
r
eg
i
s
ter
is
i
m
p
le
m
e
n
ted
as
a
s
et
o
f
f
lip
f
lo
p
s
,
th
e
w
id
t
h
o
f
I
R
is
s
a
m
e
as
o
f
t
h
e
in
s
tr
u
c
ti
o
n
w
o
r
d
in
t
h
e
I
S
A
th
at
i
s
1
6
-
b
its
,
an
d
th
e
o
u
tp
u
t
o
f
th
e
I
R
i
s
co
n
n
ec
ted
to
th
e
C
U
th
at
g
e
n
er
ates t
h
e
ap
p
r
o
p
r
ia
te
co
n
tr
o
l sig
n
als.
3
.
5
.
Arit
h
m
et
ic
a
nd
lo
g
ic
un
it
T
h
e
A
L
U
p
er
f
o
r
m
s
all
t
h
e
m
ath
e
m
atica
l
an
d
lo
g
ical
o
p
er
atio
n
s
s
p
ec
i
f
ied
in
t
h
e
in
s
tr
u
cti
o
n
s
.
I
t
ca
n
d
o
s
i
m
p
le
m
ath
tas
k
s
li
k
e
ad
d
in
g
,
s
u
b
tr
ac
ti
n
g
,
m
u
ltip
l
y
i
n
g
,
an
d
d
iv
id
in
g
.
L
o
g
ic
f
u
n
ctio
n
s
li
k
e
AND,
OR
,
XOR,
an
d
NOT
alo
n
g
w
ith
b
it
w
i
s
e
s
h
if
t
f
u
n
c
tio
n
s
,
s
u
c
h
as
lo
g
ical
s
h
i
f
t
lef
t
(
SLL
)
an
d
lo
g
ical
s
h
i
f
t
r
ig
h
t
(
SR
L
)
ar
e
s
u
p
p
o
r
ted
.
3
.
6
.
E
lect
ro
c
a
rdio
g
ra
m
co
nt
ro
l unit
T
h
e
E
C
U
is
d
ed
icate
d
co
n
tr
o
l
b
lo
ck
in
th
e
c
u
s
to
m
ar
ch
itect
u
r
e,
d
esig
n
ed
s
p
ec
if
icall
y
f
o
r
co
o
r
d
in
atin
g
a
n
d
m
a
n
a
g
in
g
t
h
e
s
eq
u
en
ce
o
f
o
p
er
atio
n
s
o
n
r
e
al
-
ti
m
e
E
C
G
s
i
g
n
a
ls
.
I
t
ac
ts
as
a
tr
af
f
ic
co
n
tr
o
ller
f
o
r
E
C
G
p
r
o
ce
s
s
i
n
g
,
e
n
s
u
r
i
n
g
th
at
t
h
e
d
ata
f
lo
w
s
i
n
co
r
r
ec
tl
y
b
et
w
ee
n
t
h
e
r
eq
u
ir
ed
m
o
d
u
le
s
an
d
t
h
e
n
ec
e
s
s
ar
y
o
p
er
atio
n
s
ar
e
p
e
r
f
o
r
m
ed
in
t
h
e
s
eq
u
e
n
tial
o
r
d
er
.
W
h
ile
th
e
m
ai
n
C
U
h
an
d
le
s
o
v
er
all
s
y
s
te
m
m
a
n
a
g
e
m
en
t,
th
e
E
C
U
f
o
cu
s
es o
n
l
y
o
n
E
C
G
-
s
p
ec
i
f
ic
tas
k
s
a
s
r
ep
r
esen
ted
i
n
Fi
g
u
r
e
3
m
ai
n
f
u
n
ctio
n
alitie
s
o
f
E
C
U
ar
e:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
A
cu
s
to
m
r
ed
u
ce
d
in
s
tr
u
ctio
n
s
et
co
mp
u
ter
-
V
b
a
s
ed
a
r
ch
itec
tu
r
e
fo
r
r
ea
l
-
time
…
(
V
in
a
ya
k
V
ikra
m
S
h
in
d
e
)
419
S
t
o
r
e
S
a
m
p
l
e
s
F
e
t
c
h
A
D
C
S
a
m
p
l
e
s
M
a
n
a
g
e
S
t
a
t
e
T
r
a
n
s
i
t
i
o
n
s
S
e
n
d
C
o
n
t
r
o
l
S
i
g
n
a
l
s
t
o
EC
G
_
A
LU
S
e
n
d
I
n
p
u
t
s
t
o
EC
G
_
A
LU
W
a
i
t
f
o
r
A
L
U
R
e
c
e
i
v
e
C
o
m
p
u
t
e
d
R
e
su
l
t
P
r
o
v
i
d
e
D
o
n
e
S
i
g
n
a
l
R
e
a
d
S
a
m
p
l
e
s
S
t
o
r
e
R
e
su
l
t
A
d
v
a
n
c
e
P
r
o
c
e
ss
i
n
g
S
t
a
g
e
M
a
n
a
g
e
B
u
f
f
e
r
r
e
a
d
s
/
w
r
i
t
e
s
S
t
a
r
t
Fig
u
r
e
3
.
Flo
w
c
h
ar
t d
ep
ictin
g
th
e
E
C
G
p
r
o
ce
s
s
i
n
g
m
et
h
o
d
o
lo
g
y
3
.
6
.
1
.
Sta
t
e
m
a
na
g
e
m
ent
An
FS
M
i
s
u
s
ed
to
b
u
ild
th
e
E
C
U.
T
h
e
FS
M
s
p
ec
if
ies
a
s
et
o
f
s
tates
t
h
at
ar
e
r
elate
d
to
d
if
f
er
en
t
s
tep
s
in
E
C
G
p
r
o
ce
s
s
in
g
f
lo
w
,
s
u
ch
as
g
ett
in
g
ADC
d
ata,
h
ig
h
-
p
as
s
f
ilter
i
n
g
,
lo
w
-
p
ass
f
ilter
i
n
g
,
R
-
p
ea
k
d
etec
tio
n
,
an
d
h
ea
r
t
-
r
ate
ca
l
cu
latio
n
.
T
h
e
F
SM
ch
a
n
g
es
s
tates
w
h
e
n
ce
r
tain
co
n
d
it
i
o
n
s
ar
e
m
et,
lik
e
co
m
p
let
io
n
o
f
d
ata
g
at
h
er
in
g
f
r
o
m
A
D
C
,
o
r
R
-
p
ea
k
is
d
ete
cted
.
I
n
ea
ch
s
tate
it
s
en
d
s
r
ig
h
t
co
n
tr
o
l
s
i
g
n
al
s
to
th
e
as
s
o
ciate
d
m
o
d
u
les to
t
u
r
n
th
e
m
o
n
.
3
.
6
.
2
.
Co
ntr
o
l
o
f
da
t
a
co
llect
io
n
T
h
e
E
C
U
is
r
esp
o
n
s
ib
le
f
o
r
g
ettin
g
E
C
G
d
ata
s
a
m
p
le
s
f
r
o
m
t
h
e
A
DC
.
I
t
g
en
er
ate
s
co
n
t
r
o
l
s
ig
n
a
ls
th
at
s
to
r
e
th
e
E
C
G
s
a
m
p
les i
n
th
e
FIFO
lo
ca
tio
n
s
o
f
t
h
e
m
e
m
o
r
y
.
3
.
6
.
3
.
H
a
nd
le
f
ilte
ring
T
h
e
E
C
U
h
an
d
les t
h
e
f
ilter
i
n
g
s
tag
e
s
b
y
:
−
R
ea
d
in
g
f
i
lter
co
ef
f
icien
ts
f
r
o
m
m
e
m
o
r
y
.
−
B
y
g
i
v
in
g
r
ig
h
t c
o
n
tr
o
l sig
n
al
s
to
E
C
G
AL
U
to
ca
r
r
y
o
u
t
h
i
g
h
-
p
a
s
s
an
d
lo
w
-
p
a
s
s
f
ilter
i
n
g
o
p
er
atio
n
s
.
−
C
o
n
tr
o
lli
n
g
t
h
e
f
lo
w
o
f
d
ata
b
et
w
ee
n
m
e
m
o
r
y
a
n
d
E
C
G_
AL
U
d
u
r
in
g
th
e
f
ilter
i
n
g
p
r
o
ce
s
s
.
3
.
6
.
4
.
Co
ntr
o
l
f
e
a
t
ure
ex
t
ra
c
t
io
n
T
h
e
E
C
U
h
an
d
les
f
ea
t
u
r
e
ex
tr
ac
tio
n
p
r
o
ce
s
s
es b
y
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
2
,
J
u
l
y
20
25
:
412
-
4
2
7
420
−
Sen
d
i
n
g
co
n
tr
o
l si
g
n
als to
E
C
G_
AL
U
to
p
er
f
o
r
m
r
eq
u
ir
ed
ca
lcu
latio
n
s
to
d
etec
t R
-
p
ea
k
.
−
B
r
in
g
i
n
g
u
p
th
e
t
h
r
es
h
o
ld
in
g
l
o
g
ic
to
d
etec
t R
-
p
ea
k
s
.
−
Utilizi
n
g
t
h
e
id
en
t
if
ied
R
-
p
ea
k
s
to
ca
lcu
late
I
B
I
.
3
.
6
.
5
.
H
ea
rt
-
ra
t
e
c
a
lcula
t
io
n
T
h
e
E
C
U
ex
ec
u
te
s
th
e
h
ea
r
t
-
r
ate
ca
lcu
latio
n
s
ta
g
e
b
y
:
−
Usi
n
g
t
h
e
eq
u
atio
n
d
ef
i
n
ed
in
s
ec
tio
n
5
to
ca
lcu
late
h
ea
r
-
r
ate
.
−
S
to
r
in
g
t
h
e
h
ea
r
t
-
r
ate
i
n
m
e
m
o
r
y
.
3
.
6
.
6
.
H
a
nd
lin
g
E
CG
_
A
L
U
T
h
e
E
C
U
tells
t
h
e
E
C
G_
AL
U
w
h
at
ar
it
h
m
e
tic
an
d
lo
g
ic
o
p
er
atio
n
s
ar
e
to
b
e
p
er
f
o
r
m
ed
at
e
ac
h
s
ta
g
e
o
f
E
C
G
s
i
g
n
a
l
p
r
o
ce
s
s
i
n
g
.
T
h
is
i
n
clu
d
e
s
telli
n
g
t
h
e
E
C
G_
AL
U
w
h
at
k
i
n
d
o
f
o
p
er
atio
n
to
d
o
,
w
h
at
o
p
er
an
d
s
to
u
s
e,
an
d
w
h
er
e
t
h
e
r
es
u
lts
s
h
o
u
ld
b
e
s
to
r
ed
.
Fig
u
r
e
3
d
e
m
o
n
s
tr
ate
s
t
h
e
wo
r
k
in
g
o
f
an
E
C
U
w
it
h
t
h
e
h
elp
o
f
a
f
lo
w
ch
ar
t.
First
th
e
E
C
U
i
s
in
itial
ized
b
y
t
h
e
s
tar
t
s
i
g
n
al
f
r
o
m
C
U.
T
h
e
E
C
U
b
eg
in
s
o
p
er
atio
n
b
y
f
etch
in
g
t
h
e
s
a
m
p
les
f
r
o
m
A
D
C
an
d
s
to
r
in
g
th
e
m
i
n
t
h
e
r
esp
ec
tiv
e
FIFO
lo
ca
tio
n
s
.
Af
ter
s
to
r
in
g
t
h
e
E
C
U
i
n
itialize
s
E
C
G_
AL
U
a
n
d
r
ea
d
s
th
e
s
to
r
ed
s
am
p
le
s
.
T
h
e
E
C
U
s
en
d
s
r
eq
u
ir
ed
co
n
tr
o
l
s
ig
n
al
s
an
d
th
e
r
ea
d
s
a
m
p
les
as
in
p
u
t
to
th
e
E
C
G_
AL
U
ac
co
r
d
in
g
to
s
tate
m
a
n
ag
e
m
e
n
t.
I
t
w
aits
f
o
r
th
e
E
C
G_
AL
U
to
co
m
p
u
te
t
h
e
r
es
u
lt
a
n
d
s
to
r
es
th
e
co
m
p
u
ted
in
ter
m
ed
iate
r
esu
lt
an
d
p
r
o
ce
ed
s
to
th
e
n
ex
t
s
tag
e
w
it
h
b
u
f
f
e
r
m
a
n
ag
e
m
e
n
t.
Fi
n
all
y
,
t
h
e
s
y
s
te
m
s
e
n
d
s
‘
Do
n
e
’
s
ig
n
al,
r
ep
r
esen
ti
n
g
co
m
p
letio
n
o
f
t
h
e
E
C
G
p
r
o
ce
s
s
i
n
g
c
y
cle
.
3
.
7
.
E
lect
ro
c
a
rdio
g
ra
m
a
rit
h
m
et
ic
lo
g
ic
un
it
T
h
is
is
a
k
ey
co
m
p
o
n
e
n
t
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
d
esi
g
n
.
T
h
e
E
C
G_
AL
U
is
s
p
ec
ialize
d
f
o
r
E
C
G
task
s
,
s
u
c
h
as
ex
ec
u
tin
g
h
i
g
h
-
p
ass
o
r
lo
w
-
p
a
s
s
f
il
ter
in
g
,
R
-
p
ea
k
d
etec
tio
n
,
an
d
HR
ca
lcu
latio
n
.
I
t
p
er
f
o
r
m
s
th
ese
o
p
er
atio
n
s
ac
co
r
d
in
g
to
th
e
co
n
tr
o
l
s
ig
n
als
an
d
in
p
u
ts
p
r
o
v
id
ed
b
y
th
e
E
C
U
f
o
r
ea
ch
s
tate.
I
t
h
elp
s
in
r
ed
u
cin
g
t
h
e
lo
ad
o
n
AL
U
as
it
h
a
n
d
les
t
h
e
E
C
G
s
p
ec
if
ic
o
p
er
atio
n
s
.
T
h
is
h
elp
s
i
n
r
ed
u
c
in
g
co
m
p
le
x
it
y
a
n
d
in
cr
ea
s
i
n
g
e
f
f
icie
n
c
y
a
n
d
also
r
ed
u
cin
g
p
o
w
er
co
n
s
u
m
p
tio
n
.
3
.
8
.
Co
ntr
o
l
unit
T
h
e
m
a
in
p
ar
t
o
f
t
h
e
c
u
s
to
m
ar
ch
itect
u
r
e
is
t
h
e
C
U.
I
t
s
f
u
n
ctio
n
is
to
d
ec
o
d
e
in
s
tr
u
ctio
n
s
r
ea
d
f
r
o
m
R
OM
,
f
i
g
u
r
e
o
u
t
w
h
ic
h
o
p
er
at
io
n
s
n
ee
d
to
b
e
p
er
f
o
r
m
ed
an
d
s
en
d
co
n
tr
o
l
s
ig
n
al
s
to
all
th
e
co
n
n
ec
ted
b
lo
ck
s
in
th
e
ar
c
h
itect
u
r
e
to
m
a
k
e
s
u
r
e
th
e
y
all
w
o
r
k
to
g
et
h
er
.
−
T
h
e
C
U
u
s
e
s
th
e
P
C
to
g
et
i
n
s
tr
u
ctio
n
s
f
r
o
m
t
h
e
R
OM
.
−
Dec
o
d
es th
ese
i
n
s
tr
u
ctio
n
s
as
p
er
th
e
I
SA
.
−
Gen
er
ates t
h
e
co
n
tr
o
l si
g
n
a
ls
f
o
r
th
e
o
p
er
atio
n
o
f
o
th
er
p
ar
ts
,
s
u
c
h
as
m
e
m
o
r
y
,
AL
U,
a
n
d
th
e
GP
I
O.
−
T
h
e
C
U
m
ai
n
tai
n
s
t
h
e
s
eq
u
e
n
ce
o
f
p
r
o
g
r
am
i
m
p
le
m
e
n
tat
i
o
n
an
d
p
er
f
o
r
m
s
b
r
an
c
h
i
n
g
o
r
s
u
b
r
o
u
tin
e
ca
ll
in
s
tr
u
ctio
n
s
.
4.
SYST
E
M
ARCH
I
T
E
CT
U
R
E
T
h
e
s
y
s
te
m
ar
ch
itec
tu
r
e
co
m
p
r
is
es o
f
t
h
e
f
o
llo
w
i
n
g
:
4
.
1
.
I
ns
t
ruct
io
n
s
et
a
rc
hite
ct
ure
T
h
e
d
esig
n
ed
cu
s
to
m
R
I
S
C
-
V
b
ased
ar
ch
itectu
r
e
u
s
e
s
a
cu
s
to
m
R
I
S
C
-
V
I
S
A
,
as
s
h
o
w
n
i
n
T
ab
le
3
,
m
o
d
i
f
ied
to
th
e
s
p
ec
if
ic
r
eq
u
i
r
e
m
en
t
s
o
f
t
h
e
s
y
s
te
m
.
T
h
e
R
I
SC
-
V
w
as
c
h
o
s
en
d
u
e
to
its
o
p
en
s
o
u
r
ce
n
at
u
r
e,
m
o
d
u
lar
it
y
an
d
p
o
ten
t
ial
f
o
r
c
u
s
to
m
is
at
io
n
allo
w
i
n
g
f
o
r
a
n
e
f
f
icien
t
in
s
tr
u
c
tio
n
s
et
f
o
r
t
h
e
ap
p
licatio
n
.
Me
r
its
o
f
th
e
I
S
A
ar
e:
−
B
ase
I
S
A
:
t
h
e
b
ase
I
S
A
is
R
I
SC
-
V,
p
r
o
v
id
in
g
a
s
o
u
r
ce
o
f
e
s
s
e
n
tial
i
n
s
tr
u
ctio
n
s
f
o
r
ar
ith
m
etic
o
p
er
atio
n
s
,
lo
g
ical
o
p
er
atio
n
s
,
m
e
m
o
r
y
ac
ce
s
s
an
d
co
n
tr
o
l f
lo
w
.
−
I
n
s
tr
u
c
tio
n
f
o
r
m
at
:
t
h
e
i
n
s
tr
u
c
tio
n
f
o
r
m
at
u
s
e
s
1
6
-
b
it
i
n
s
tr
u
c
tio
n
s
,
co
n
s
is
tin
g
o
f
4
-
b
it
s
o
p
co
d
e
an
d
1
2
-
b
its
o
p
er
an
d
.
T
h
is
s
h
o
r
t
in
s
tr
u
c
tio
n
f
o
r
m
at
c
u
ts
d
o
w
n
o
n
co
d
e
s
ize
an
d
m
e
m
o
r
y
ac
ce
s
s
lo
ad
,
w
h
ic
h
r
ed
u
ce
s
p
o
w
er
co
n
s
u
m
p
tio
n
.
T
h
e
u
s
e
o
f
1
6
-
b
it f
o
r
m
at
p
r
o
v
id
es
g
o
o
d
am
o
u
n
t o
f
f
le
x
ib
ili
t
y
.
−
C
u
s
to
m
i
n
s
tr
u
ctio
n
s
:
o
n
e
i
m
p
o
r
tan
t
f
ea
t
u
r
e
o
f
t
h
e
I
S
A
is
t
h
at
it
h
as
a
c
u
s
to
m
E
C
G_
OP
in
s
tr
u
ctio
n
t
h
at
ai
m
s
to
s
tar
t
s
p
ec
if
ic
E
C
G
p
r
o
ce
s
s
i
n
g
ta
s
k
s
w
it
h
i
n
th
e
E
C
U
an
d
E
C
G_
AL
U.
−
Op
co
d
e
en
co
d
in
g
: th
e
ac
tio
n
t
o
b
e
p
e
r
f
o
r
m
ed
is
d
eter
m
i
n
ed
b
y
t
h
e
o
p
co
d
e
f
ield
.
T
ab
le
3
r
ep
r
esen
ts
t
h
e
in
s
tr
u
ctio
n
s
et
w
it
h
b
asic
i
n
s
tr
u
cti
o
n
s
s
u
ch
a
s
ar
ith
m
etic,
lo
g
ic
al,
m
e
m
o
r
y
ac
ce
s
s
,
co
n
tr
o
l f
lo
w
,
an
d
s
h
i
f
t
in
s
tr
u
ctio
n
s
.
I
t a
ls
o
in
cl
u
d
es c
u
s
to
m
in
s
tr
u
c
tio
n
li
k
e
E
C
G_
O
P
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
A
cu
s
to
m
r
ed
u
ce
d
in
s
tr
u
ctio
n
s
et
co
mp
u
ter
-
V
b
a
s
ed
a
r
ch
itec
tu
r
e
fo
r
r
ea
l
-
time
…
(
V
in
a
ya
k
V
ikra
m
S
h
in
d
e
)
421
T
ab
le
3
.
I
n
s
tr
u
ctio
n
s
et
ar
c
h
ite
ctu
r
e
O
p
c
o
d
e
(
4
b
i
t
s
)
M
n
e
mo
n
i
c
D
e
scri
p
t
i
o
n
O
p
e
r
a
n
d
fi
e
l
d
(
1
2
b
i
t
s)
0
0
0
0
NOP
N
o
o
p
e
r
a
t
i
o
n
(
u
se
f
u
l
f
o
r
d
e
l
a
y
s,
a
l
i
g
n
me
n
t
)
-
0
0
0
1
A
D
D
R
1
←
R
1
+
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
0
0
1
0
S
U
B
R
1
←
R
1
-
R2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
0
0
1
1
M
U
L
R
1
←
R
1
*
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
0
1
0
0
D
I
V
R
1
←
R
1
/
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
0
1
0
1
M
O
V
R
1
←
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
0
1
1
0
L
O
A
D
R
1
←
M
e
mo
r
y
[
a
d
d
r
]
R
1
(
2
b
i
t
s)
,
A
d
d
r
e
ss (1
0
b
i
t
s)
0
1
1
1
S
T
O
R
E
M
e
mo
r
y
[
a
d
d
r
]
←
R
1
R
1
(
2
b
i
t
s)
,
A
d
d
r
e
ss (1
0
b
i
t
s)
1
0
0
0
A
N
D
R
1
←
R
1
A
N
D
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
1
0
0
1
OR
R
1
←
R
1
O
R
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
1
0
1
0
XOR
R
1
←
R
1
X
O
R
R
2
R
1
(
2
b
i
t
s)
,
R
2
(
2
b
i
t
s)
,
U
n
u
se
d
(
8
b
i
t
s)
1
0
1
1
S
H
I
F
T
R
1
←
R
1
S
h
i
f
t
L
e
f
t
/
R
i
g
h
t
b
y
i
mm
e
d
i
a
t
e
v
a
l
u
e
R
1
(
2
b
i
t
s)
,
D
i
r
e
c
t
i
o
n
(
1
b
i
t
)
,
S
h
i
f
t
A
mo
u
n
t
(
5
b
i
t
s)
,
U
n
u
se
d
(
4
b
i
t
s)
1
1
0
0
JM
P
P
C
←
a
d
d
r
A
d
d
r
e
ss (1
2
b
i
t
s)
1
1
0
1
C
A
L
L
P
u
sh
(
P
C
)
,
P
C
←
a
d
d
r
A
d
d
r
e
ss (1
2
b
i
t
s)
1
1
1
0
R
ET
U
R
N
P
C
←
P
o
p
(
P
C
f
r
o
m st
a
c
k
)
-
4
.
2
.
Reg
is
t
er
a
dd
re
s
s
ing
T
h
e
I
SA
s
u
p
p
o
r
t
r
eg
is
ter
b
ased
ad
d
r
ess
in
g
m
et
h
o
d
f
o
r
ac
ce
s
s
in
g
o
p
er
an
d
s
.
T
h
e
ar
ch
itectu
r
e
s
u
p
p
o
r
ts
f
o
u
r
r
eg
is
ter
s
,
o
u
t
o
f
w
h
ic
h
th
r
ee
ar
e
g
en
er
al
-
p
u
r
p
o
s
e
(
R
0
-
R
2
)
an
d
a
r
etu
r
n
ad
d
r
ess
r
eg
is
te
r
(
R
3
)
.
A
s
th
er
e
ar
e
f
o
u
r
r
eg
i
s
ter
s
o
n
l
y
t
w
o
b
its
ar
e
n
ee
d
ed
to
ad
d
r
ess
th
e
m
as
s
h
o
w
n
in
T
ab
le
4
.
T
ab
le
4
s
h
o
w
s
r
eg
is
ter
ad
d
r
ess
in
g
w
i
th
b
i
n
ar
y
ad
d
r
es
s
allo
ca
ted
to
ea
ch
r
eg
is
ter
.
T
ab
le
4
.
R
eg
is
ter
ad
d
r
ess
in
g
s
tr
u
ctu
r
e
R
e
g
i
st
e
r
B
i
n
a
r
y
a
d
d
r
e
ss
P
u
r
p
o
se
R0
00
G
e
n
e
r
a
l
p
u
r
p
o
se
r
e
g
i
st
e
r
R1
01
G
e
n
e
r
a
l
p
u
r
p
o
se
r
e
g
i
st
e
r
R2
10
G
e
n
e
r
a
l
p
u
r
p
o
se
r
e
g
i
st
e
r
R3
11
R
e
t
u
r
n
a
d
d
d
r
e
ss re
g
i
st
e
r
f
o
r
su
b
r
o
u
t
i
n
e
o
r
f
u
n
c
t
i
o
n
a
l
c
a
l
l
s
4
.
3
.
B
us
a
rc
hite
ct
ure
T
h
e
cu
s
to
m
ar
ch
itect
u
r
e
u
s
e
s
1
6
-
b
it
b
u
s
ar
ch
itectu
r
e
f
o
r
d
ata
b
u
s
an
d
co
n
tr
o
l
b
u
s
an
d
1
2
-
b
its
f
o
r
ad
d
r
ess
b
u
s
to
co
m
m
u
n
icate
b
et
w
ee
n
v
ar
io
u
s
co
m
p
o
n
e
n
t
s
.
T
h
e
b
u
s
ar
c
h
itect
u
r
e
co
m
p
r
is
es
o
f
th
e
f
o
llo
w
in
g
:
−
Data
b
u
s
:
t
h
e
16
-
b
it
d
ata
b
u
s
allo
w
s
f
o
r
th
e
tr
an
s
f
er
o
f
d
ata
b
et
w
ee
n
th
e
I
R
,
m
e
m
o
r
y
u
n
it,
E
C
U,
r
eg
is
ter
s
,
an
d
GP
I
O.
−
A
d
d
r
ess
b
u
s
:
th
e
16
-
b
it
ad
d
r
ess
b
u
s
i
s
u
s
ed
to
d
ef
i
n
e
m
e
m
o
r
y
ad
d
r
ess
f
o
r
t
h
e
m
e
m
o
r
y
a
cc
ess
o
p
er
atio
n
s
o
r
task
s
.
−
C
o
n
tr
o
l
b
u
s
:
th
e
co
n
tr
o
l
b
u
s
ca
r
r
ies
co
n
tr
o
l
s
ig
n
als
f
r
o
m
t
h
e
m
ai
n
CU
th
at
co
o
r
d
in
ates
an
d
m
an
a
g
es
th
e
o
p
er
atio
n
o
f
d
if
f
er
en
t
co
m
p
o
n
en
t
s
.
T
h
ese
s
ig
n
al
s
in
cl
u
d
e:
i)
r
ea
d
/
w
r
ite
s
ig
n
al
s
f
o
r
m
e
m
o
r
y
ac
ce
s
s
,
ii)
clo
ck
en
ab
le
s
i
g
n
al
s
f
o
r
en
a
b
lin
g
o
r
d
is
ab
li
n
g
th
e
b
lo
ck
,
a
n
d
iii)
r
eset
s
ig
n
al
s
f
o
r
r
esettin
g
t
h
e
s
y
s
te
m
o
r
a
b
lo
ck
.
5.
M
AT
H
E
M
AT
I
CAL ANA
L
YSI
S
T
h
e
d
esig
n
u
s
es
f
o
llo
w
i
n
g
eq
u
atio
n
s
to
p
er
f
o
r
m
E
C
G
s
p
ec
if
i
c
o
p
er
atio
n
s
:
a.
P
r
e
-
p
r
o
ce
s
s
in
g
i
n
t
h
e
ar
ith
m
et
ic
lo
g
ic
u
n
it
−
Hig
h
p
ass
f
ilter
:
r
e
m
o
v
es b
ase
lin
e
w
a
n
d
er
u
s
i
n
g
d
i
f
f
er
en
ce
e
q
u
atio
n
.
[
]
=
[
]
–
[
−
1
]
+
[
−
1
]
(
1
)
w
h
er
e,
x
[
n
]
is
cu
r
r
en
t
i
n
p
u
t
s
a
m
p
le
;
x
[
n
-
1]
is
p
r
ev
io
u
s
in
p
u
t
s
a
m
p
le
;
y
[
n
]
is
f
i
lter
ed
o
u
tp
u
t
;
y
[
n
-
1]
i
s
p
r
ev
io
u
s
f
ilter
ed
o
u
tp
u
t
; a
n
d
α
is
f
ilter
co
ef
f
ic
ien
t (
α
≈
0
.
9
)
.
−
L
o
w
p
ass
f
ilter
: r
ed
u
ce
s
h
i
g
h
f
r
eq
u
en
c
y
n
o
is
e.
[
]
=
(
1
−
)
[
]
+
[
−
1
]
(
2
)
w
h
er
e
,
β
is
f
ilter
co
ef
f
icie
n
t (
β
≈
0
.
9
5
)
.
b.
R
-
p
ea
k
d
etec
tio
n
Evaluation Warning : The document was created with Spire.PDF for Python.