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5
d
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s
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.
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2
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e
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ra
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n
d
b
lo
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d
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re
ss
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re
.
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h
e
in
teg
ra
ted
b
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sy
ste
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ll
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d
in
ju
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p
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stra
teg
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K
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w
o
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s
:
B
io
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s
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s
E
lectr
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m
y
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ap
h
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I
n
teg
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ated
Mu
s
cle
Sp
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r
t a
ctiv
it
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T
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is i
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a
rticle
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r th
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CC B
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SA
li
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se
.
C
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r
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s
p
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A
uth
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r
:
Su
g
o
n
d
o
Had
i
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o
s
o
Sch
o
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f
A
p
p
lied
Scien
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T
elk
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U
n
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v
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T
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W
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av
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40257
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I
n
d
o
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ail:
s
u
g
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d
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lk
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u
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it
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ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
n
eu
r
o
m
u
s
c
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lar
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y
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te
m
co
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s
i
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ts
o
f
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b
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s
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v
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te
m
a
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d
all
t
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i
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th
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b
o
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y
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Ner
v
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d
m
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ca
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n
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t
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e
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ep
ar
ated
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ca
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v
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m
en
t
ca
r
r
ied
o
u
t
b
y
t
h
e
b
o
d
y
[
1
]
.
C
o
m
m
u
n
ica
tio
n
b
et
w
ee
n
n
er
v
es
an
d
m
u
s
c
les
is
s
o
f
a
s
t
th
at
th
e
b
o
d
y
is
n
o
t
ev
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n
a
w
ar
e
o
f
it.
Ner
v
es
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d
m
u
s
cles
as
t
h
e
n
e
u
r
o
m
u
s
c
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la
r
s
y
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te
m
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w
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to
g
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m
ak
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y
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s
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esire
d
,
b
r
ea
th
in
g
is
o
n
e
ex
a
m
p
le
[
2
]
.
T
h
e
n
eu
r
o
m
u
s
c
u
lar
s
y
s
te
m
h
as
a
n
i
m
p
o
r
ta
n
t
r
o
le
in
s
p
o
r
ts
.
Mu
s
cles
w
h
o
s
e
f
u
n
ct
io
n
is
t
o
co
n
tr
ac
tio
n
s
a
n
d
r
elax
a
tio
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s
a
r
e
co
n
tr
o
lled
b
y
th
e
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er
v
o
u
s
s
y
s
te
m
s
o
th
at
th
e
ir
s
tr
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g
t
h
,
a
cc
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r
ac
y
,
a
n
d
p
o
w
er
ar
e
co
n
tr
o
lled
[
3
]
.
I
n
s
p
ec
if
ic
cir
cu
m
s
ta
n
ce
s
,
t
h
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n
e
u
r
o
m
u
s
c
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lar
s
y
s
te
m
m
a
y
e
n
co
u
n
ter
d
is
r
u
p
tio
n
o
r
d
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m
in
is
h
ed
f
u
n
ctio
n
,
p
r
im
ar
il
y
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te
m
m
i
n
g
f
r
o
m
a
d
ec
lin
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in
th
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b
o
d
y
’
s
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u
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cle
m
as
s
d
u
e
to
ag
in
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li
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ticu
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s
s
i
v
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p
h
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s
ical
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tio
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[
4
]
,
[
5
]
.
E
x
ce
s
s
iv
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p
h
y
s
ical
ac
ti
v
it
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an
lead
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le
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e
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lt
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ate
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m
u
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cl
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d
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a
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e
[
6
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,
[
7
]
.
I
n
o
th
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ter
m
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ex
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s
s
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v
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p
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s
ical
ac
ti
v
it
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w
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h
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u
t
s
u
f
f
icie
n
t
r
est ca
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lead
to
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s
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ati
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e
,
w
h
ich
,
i
f
n
o
t
m
a
n
ag
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p
r
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p
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l
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ca
n
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u
lt i
n
s
i
g
n
i
f
ica
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t
m
u
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cle
d
a
m
ag
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Su
r
f
ac
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elec
tr
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m
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ap
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(
s
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MG
)
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ig
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r
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m
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c
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lar
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te
m
[
8
]
.
T
h
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u
g
h
s
E
M
G
m
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m
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af
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Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
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C
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p
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imp
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mu
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ca
p
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r
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…
(
E
r
vin
Ma
s
ita
Dewi
)
467
o
f
m
u
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cle
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tr
e
n
g
th
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id
en
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if
ica
tio
n
o
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h
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d
d
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m
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m
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ito
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p
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tech
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s
ef
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esp
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ab
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atio
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ex
p
er
ts
[
9
]
–
[
1
1
]
.
T
h
er
ef
o
r
e,
th
is
s
tu
d
y
co
n
d
u
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d
a
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d
ac
tiv
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r
elate
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s
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.
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s
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n
s
o
r
s
d
ev
elo
p
ed
b
y
t
h
e
b
io
m
ed
ical
r
e
s
ea
r
ch
g
r
o
u
p
at
t
h
e
B
a
n
d
u
n
g
State
P
o
l
y
tec
h
n
ic.
T
h
is
b
io
s
en
s
o
r
in
teg
r
ate
s
m
u
l
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le
s
en
s
o
r
s
,
in
cl
u
d
i
n
g
t
h
e
s
E
MG
s
en
s
o
r
,
elec
tr
o
ca
r
d
io
g
r
a
p
h
y
(
E
C
G)
s
en
s
o
r
,
p
h
o
to
p
leth
y
s
m
o
g
r
ap
h
y
(
P
P
G
)
s
en
s
o
r
,
an
d
b
lo
o
d
p
r
ess
u
r
e
(
B
P)
s
en
s
o
r
.
T
h
e
in
t
eg
r
at
e
d
b
i
o
s
en
s
o
r
w
ill
s
u
b
s
e
q
u
en
t
ly
b
e
em
p
l
o
y
e
d
i
n
r
e
s
e
a
r
ch
e
n
d
ea
v
o
r
s
,
en
a
b
lin
g
s
im
u
l
ta
n
e
o
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s
m
ea
s
u
r
em
en
t
o
f
v
a
r
i
o
u
s
p
a
r
am
et
e
r
s
t
o
y
i
el
d
m
o
r
e
c
o
m
p
r
eh
en
s
i
v
e
r
e
s
u
l
ts
.
I
n
it
i
al
ly
,
s
E
M
G
t
es
t
in
g
w
as
c
o
n
d
u
c
t
e
d
o
n
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o
h
o
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o
f
s
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d
en
ts
ag
e
d
2
0
–
2
5
y
e
a
r
s
p
a
r
t
i
ci
p
a
t
in
g
in
d
if
f
e
r
en
t
s
p
o
r
t
s
a
ct
iv
it
i
es
[
1
2
]
–
[
2
0
]
.
2.
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
s
tu
d
y
a
i
m
s
to
i
n
v
e
s
ti
g
ate
t
h
e
i
n
f
l
u
en
ce
o
f
s
p
o
r
ts
ac
tiv
i
t
y
in
te
n
s
it
y
o
n
m
u
s
c
le
ca
p
ac
it
y
u
s
i
n
g
an
i
n
teg
r
ated
b
io
s
e
n
s
o
r
s
y
s
te
m
.
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h
e
in
te
g
r
ated
b
io
s
en
s
o
r
,
d
ev
elo
p
ed
b
y
t
h
e
b
io
m
ed
ical
r
esear
ch
tea
m
a
t
th
e
B
an
d
u
n
g
State
P
o
l
y
tec
h
n
i
c,
co
m
b
in
es
v
ar
io
u
s
s
en
s
o
r
s
i
n
clu
d
i
n
g
s
E
M
G,
E
C
G,
P
P
,
an
d
B
P
.
B
y
u
ti
lizi
n
g
th
e
co
m
p
r
eh
e
n
s
i
v
e
b
io
s
e
n
s
o
r
s
etu
p
,
its
ai
m
to
ass
e
s
s
h
o
w
d
if
f
er
e
n
t
le
v
els
o
f
s
p
o
r
ts
ac
tiv
it
y
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te
n
s
it
y
a
f
f
ec
t
m
u
s
cle
p
er
f
o
r
m
an
ce
a
n
d
ca
p
ac
it
y
.
Fi
g
u
r
e
1
s
h
o
w
s
t
h
e
b
lo
ck
d
iag
r
a
m
ill
u
s
tr
ati
n
g
t
h
e
i
n
teg
r
a
ted
b
io
s
e
n
s
o
r
s
y
s
te
m
[
1
4
]
,
[
2
0
]
.
Fig
u
r
e
1
.
I
llu
s
tr
ati
o
n
o
f
in
teg
r
ated
b
io
s
en
s
o
r
s
y
s
te
m
T
h
e
s
tu
d
y
in
v
o
lv
e
s
co
n
d
u
cti
n
g
s
E
M
G
m
ea
s
u
r
e
m
en
t
s
o
n
in
d
iv
id
u
a
ls
en
g
a
g
ed
in
v
ar
i
o
u
s
s
p
o
r
ts
ac
tiv
itie
s
,
w
it
h
a
p
ar
ticu
lar
f
o
c
u
s
o
n
a
s
s
e
s
s
i
n
g
m
u
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cle
ca
p
ac
it
y
u
n
d
er
d
if
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er
en
t i
n
te
n
s
it
ies o
f
p
h
y
s
ica
l e
x
er
tio
n
.
P
ar
ticip
an
ts
in
th
e
s
tu
d
y
co
n
s
is
t
o
f
co
h
o
r
ts
o
f
i
n
d
iv
id
u
als
a
g
ed
b
et
w
ee
n
2
0
–
2
5
y
ea
r
s
,
r
ep
r
esen
ti
n
g
a
d
iv
er
s
e
r
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g
e
o
f
s
p
o
r
ts
ac
tiv
ities
a
n
d
f
it
n
es
s
lev
e
ls
.
T
h
r
o
u
g
h
r
ig
o
r
o
u
s
d
ata
an
a
l
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s
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n
d
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tati
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tical
m
o
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elin
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e
ai
m
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elu
cid
ate
th
e
r
elatio
n
s
h
ip
b
et
w
ee
n
s
p
o
r
ts
ac
tiv
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t
y
i
n
t
en
s
it
y
a
n
d
m
u
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cle
ca
p
ac
it
y
,
p
r
o
v
id
in
g
v
a
lu
ab
l
e
in
s
i
g
h
ts
f
o
r
s
p
o
r
t
s
p
er
f
o
r
m
an
c
e
o
p
tim
iza
tio
n
a
n
d
in
j
u
r
y
p
r
ev
en
tio
n
s
tr
ateg
ie
s
.
E
lectr
o
m
y
o
g
r
ap
h
y
(
E
MG
)
is
t
h
e
p
r
o
ce
s
s
o
f
r
ec
o
r
d
in
g
m
u
s
cl
e
elec
tr
ical
ac
tiv
i
t
y
to
d
eter
m
i
n
e
w
h
e
th
er
th
e
y
ar
e
ac
ti
v
el
y
co
n
tr
ac
ti
n
g
o
r
n
o
t.
Mu
s
cles
p
la
y
a
cr
u
cia
l
r
o
le
in
v
ar
io
u
s
h
u
m
a
n
ac
ti
v
ities
s
u
c
h
a
s
w
o
r
k
,
s
p
o
r
ts
,
lear
n
in
g
,
an
d
ev
e
n
d
u
r
in
g
s
leep
.
E
MG
s
ig
n
als
t
y
p
ic
all
y
h
a
v
e
a
f
r
eq
u
e
n
c
y
r
a
n
g
e
b
et
w
ee
n
2
0
–
500
Hz
an
d
a
m
p
lit
u
d
es
r
a
n
g
in
g
f
r
o
m
0
–
1
0
m
V.
Si
n
ce
m
o
s
t
o
u
tp
u
ts
f
r
o
m
b
io
m
ed
ical
s
e
n
s
o
r
s
,
in
cl
u
d
in
g
E
MG
,
p
r
o
d
u
ce
w
ea
k
s
i
g
n
als,
a
s
i
g
n
a
l
co
n
d
itio
n
i
n
g
cir
c
u
it
is
n
ec
es
s
ar
y
to
en
s
u
r
e
p
r
o
p
er
d
etec
tio
n
an
d
d
is
p
la
y
o
n
a
m
o
n
ito
r
.
E
MG
s
i
g
n
a
ls
co
n
v
e
y
v
alu
ab
le
in
f
o
r
m
at
io
n
ab
o
u
t
m
u
s
cle
co
n
d
itio
n
an
d
ca
n
b
e
u
s
ed
to
d
ia
g
n
o
s
e
d
am
a
g
e
to
th
e
p
er
ip
h
er
al
n
er
v
o
u
s
s
y
s
te
m
[
2
1
]
–
[
2
5
]
.
C
alcu
lati
n
g
m
u
s
cle
te
n
s
io
n
u
s
i
n
g
a
n
E
MG
s
e
n
s
o
r
in
v
o
lv
e
s
s
e
v
er
al
s
tep
s
:
−
P
r
ep
ar
atio
n
:
b
ef
o
r
e
p
lacin
g
th
e
s
u
r
f
ac
e
elec
tr
o
d
es,
th
e
s
k
i
n
ar
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w
h
er
e
th
e
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tr
o
d
es
w
il
l
b
e
attac
h
ed
n
ee
d
s
to
b
e
cle
an
ed
to
r
em
o
v
e
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y
o
il
s
o
r
d
ir
t
th
at
co
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ld
in
ter
f
er
e
w
it
h
th
e
s
ig
n
al.
Ad
d
itio
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all
y
,
an
y
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s
s
h
air
m
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ee
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to
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e
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h
av
ed
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en
s
u
r
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g
o
o
d
elec
tr
o
d
e
co
n
tact
w
it
h
th
e
s
k
i
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
2
3
,
No
.
2
,
A
p
r
il
20
2
5
:
4
6
6
-
472
468
−
P
lace
m
e
n
t
o
f
elec
tr
o
d
es:
s
u
r
f
ac
e
elec
tr
o
d
es
ar
e
th
en
p
lace
d
o
n
th
e
s
k
i
n
o
v
er
th
e
m
u
s
cl
e
o
r
m
u
s
cles
o
f
in
ter
est.
T
h
e
ex
ac
t
p
lace
m
e
n
t
d
ep
en
d
s
o
n
th
e
s
p
ec
if
ic
m
u
s
cle
s
b
ein
g
m
ea
s
u
r
ed
an
d
t
h
e
g
o
al
s
o
f
t
h
e
m
ea
s
u
r
e
m
e
n
t.
T
y
p
icall
y
,
elec
t
r
o
d
es
ar
e
p
lace
d
in
a
b
ip
o
lar
co
n
f
i
g
u
r
atio
n
,
w
it
h
o
n
e
elec
tr
o
d
e
s
er
v
in
g
a
s
th
e
ac
tiv
e
(
r
ec
o
r
d
in
g
)
elec
tr
o
d
e
an
d
a
n
o
th
er
as
th
e
r
ef
er
en
ce
elec
tr
o
d
e.
I
t
’
s
ess
en
tial
to
en
s
u
r
e
co
n
s
is
ten
t
elec
tr
o
d
e
p
lace
m
en
t a
cr
o
s
s
p
ar
ticip
an
ts
a
n
d
s
ess
io
n
s
to
m
ain
tain
d
ata
co
n
s
i
s
te
n
c
y
.
−
E
MG
s
ig
n
al
r
ec
o
r
d
in
g
:
t
h
e
E
MG
s
en
s
o
r
r
ec
o
r
d
s
th
e
elec
tr
i
ca
l
s
ig
n
al
s
g
e
n
er
ated
b
y
m
u
s
c
le
ac
tiv
it
y
d
u
r
i
n
g
co
n
tr
ac
tio
n
o
r
r
elax
atio
n
.
−
Sig
n
al
p
r
o
ce
s
s
i
n
g
:
t
h
e
r
ec
o
r
d
ed
E
MG
s
i
g
n
a
l
is
t
h
en
p
r
o
ce
s
s
ed
to
r
e
m
o
v
e
n
o
is
e
an
d
ar
ti
f
ac
ts
a
n
d
to
o
b
tain
m
o
r
e
d
etailed
i
n
f
o
r
m
a
tio
n
ab
o
u
t
m
u
s
cle
ac
ti
v
it
y
.
−
Dete
r
m
i
n
i
n
g
m
u
s
cle
ten
s
io
n
:
m
u
s
cle
te
n
s
io
n
ca
lcu
lated
f
r
o
m
t
h
e
E
MG
s
ig
n
al
u
s
i
n
g
r
o
o
t
m
ea
n
s
q
u
ar
e
(
R
MS)
m
eth
o
d
s
.
R
MS
is
t
h
e
av
er
ag
e
v
al
u
e
o
f
th
e
s
q
u
ar
ed
E
MG
s
i
g
n
al
o
v
er
a
ce
r
tai
n
p
e
r
io
d
o
f
ti
m
e.
I
t
p
r
o
v
id
es a
n
esti
m
ate
o
f
t
h
e
s
tr
en
g
t
h
o
r
in
te
n
s
i
t
y
o
f
m
u
s
cle
c
o
n
tr
ac
tio
n
[
2
6
]
.
=
√
1
∑
2
=
1
(
1
)
N
is
t
h
e
n
u
m
b
er
o
f
s
a
m
p
le
s
in
th
e
d
ata
an
d
x
i
is
t
h
e
v
al
u
e
o
f
ea
ch
s
a
m
p
le
in
t
h
e
d
ata.
−
I
n
ter
p
r
etatio
n
an
d
a
n
al
y
s
i
s
:
t
h
e
ca
lc
u
lated
m
u
s
cle
te
n
s
io
n
ca
n
t
h
e
n
b
e
i
n
ter
p
r
eted
an
d
an
al
y
ze
d
i
n
t
h
e
co
n
tex
t o
f
t
h
e
o
b
s
er
v
ed
ac
ti
v
it
y
o
r
m
o
v
e
m
e
n
t.
T
h
is
ca
n
b
e
u
s
ed
to
m
o
n
ito
r
m
u
s
cle
s
tr
en
g
t
h
,
f
a
tig
u
e
le
v
el
s
,
o
r
ev
alu
ate
s
p
o
r
ts
p
er
f
o
r
m
a
n
c
e.
=
(
2
)
is
th
e
m
ea
s
u
r
e
m
e
n
t
o
f
E
MG
in
Vo
lt,
is
th
e
m
ea
s
u
r
e
m
en
t
o
f
E
MG
f
r
o
m
elec
tr
o
d
es,
is
th
e
v
o
ltag
e
r
e
f
er
en
ce
f
o
r
d
eter
m
i
n
es
t
h
e
r
an
g
e
v
o
ltag
e,
an
d
is
th
e
r
ef
er
s
to
th
e
n
u
m
b
er
o
f
b
its
u
s
ed
to
r
ep
r
esen
t th
e
a
n
alo
g
i
n
p
u
t si
g
n
al
in
d
i
g
ital
f
o
r
m
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
m
ea
s
u
r
e
m
en
t
w
a
s
co
n
d
u
cted
o
n
3
0
s
tu
d
en
ts
w
it
h
v
ar
y
in
g
le
v
els
o
f
p
h
y
s
ical
ac
ti
v
it
y
in
te
n
s
it
y
r
an
g
i
n
g
f
r
o
m
lo
w
in
ten
s
it
y
(
1
-
3
d
ay
s
p
er
w
ee
k
)
to
m
o
d
er
ate
in
te
n
s
it
y
(
3
-
5
d
a
y
s
p
er
w
ee
k
)
.
T
h
e
m
ea
s
u
r
e
m
e
n
t
s
w
er
e
o
b
tain
ed
u
s
i
n
g
an
in
te
g
r
ated
b
io
s
en
s
o
r
,
as
d
ep
icte
d
in
Fig
u
r
e
2
.
T
h
e
E
MG
elec
tr
o
d
es
w
er
e
p
lace
d
o
n
th
e
f
o
r
ea
r
m
,
as s
h
o
w
n
i
n
Fi
g
u
r
e
3
,
to
ass
ess
t
h
e
m
u
s
cle
s
tr
e
n
g
t
h
o
f
th
e
p
ar
ticip
an
t
s
.
Fig
u
r
e
2
.
I
llu
s
tr
atio
n
o
f
in
teg
r
ated
b
io
s
en
s
o
r
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
A
n
a
lyzi
n
g
th
e
imp
a
ct
o
f sp
o
r
t
s
a
ctivity
in
ten
s
ity
o
n
mu
s
cle
ca
p
a
city
th
r
o
u
g
h
…
(
E
r
vin
Ma
s
ita
Dewi
)
469
Fig
u
r
e
3
.
I
llu
s
tr
atio
n
o
f
th
e
E
MG
elec
tr
o
d
es
w
er
e
p
lace
d
o
n
th
e
f
o
r
ea
r
m
Fig
u
r
e
4
p
r
o
v
id
es
an
ex
a
m
p
le
o
f
E
MG
s
ig
n
a
l
o
u
tp
u
t
f
r
o
m
th
e
p
ar
ticip
an
ts
,
ill
u
s
tr
atin
g
t
w
o
co
n
d
itio
n
s
:
co
n
tr
ac
tio
n
t
h
at
i
n
d
icatin
g
m
u
s
cle
ac
ti
v
it
y
,
an
d
r
elax
atio
n
th
a
t
r
ep
r
esen
ti
n
g
m
u
s
c
le
r
est.
T
h
e
m
ea
s
u
r
e
m
e
n
t
s
ar
e
co
n
d
u
cted
f
o
r
o
n
e
m
i
n
u
te
b
y
in
s
tr
u
c
tin
g
p
a
r
ticip
an
ts
to
p
er
f
o
r
m
g
r
ip
p
in
g
an
d
r
ela
x
atio
n
m
o
v
e
m
e
n
ts
.
Fro
m
t
h
i
s
o
n
e
-
m
in
u
te
m
ea
s
u
r
e
m
e
n
t,
t
h
e
R
MS
v
al
u
e
i
s
d
eter
m
i
n
ed
ac
co
r
d
in
g
to
(
1
)
.
Su
b
s
eq
u
e
n
tl
y
,
t
h
e
v
o
lta
g
e
v
al
u
e
f
r
o
m
t
h
e
E
MG
s
ig
n
al
is
ca
lcu
lated
u
s
i
n
g
(
2
)
,
w
it
h
a
r
ef
e
r
en
ce
v
o
lta
g
e
o
f
5
v
o
lts
a
n
d
a
10
-
b
it
an
alo
g
-
to
-
d
i
g
ital c
o
n
v
er
ter
(
ADC).
Fig
u
r
e
4
.
I
llu
s
tr
atio
n
o
f
th
e
E
MG
s
ig
n
al
f
r
o
m
o
n
e
o
f
t
h
e
p
ar
ticip
an
ts
T
ab
le
1
d
is
p
lay
s
th
e
m
ea
s
u
r
e
m
en
t
r
esu
lt
s
f
r
o
m
3
0
p
ar
ticip
an
ts
.
C
o
r
r
elatio
n
an
a
l
y
s
is
w
as
co
n
d
u
cted
b
et
w
ee
n
th
e
f
r
eq
u
e
n
c
y
o
f
s
p
o
r
ts
ac
tiv
itie
s
(
ti
m
es
a
m
o
n
t
h
)
an
d
th
e
E
MG
s
i
g
n
al
d
u
r
in
g
m
u
s
c
le
co
n
tr
ac
tio
n
/r
ela
x
atio
n
b
ased
o
n
th
e
d
ata
in
th
e
tab
le.
T
h
e
o
b
tain
ed
r
esu
lt
s
h
o
w
s
a
c
o
r
r
elatio
n
o
f
0
.
8
1
4
b
et
w
ee
n
th
e
f
r
eq
u
e
n
c
y
o
f
s
p
o
r
ts
ac
tiv
itie
s
an
d
th
e
E
MG
s
ig
n
al
d
u
r
i
n
g
m
u
s
cle
co
n
tr
ac
tio
n
.
T
h
i
s
s
u
g
g
es
ts
a
s
tr
o
n
g
p
o
s
iti
v
e
r
elatio
n
s
h
ip
b
et
w
ee
n
th
e
f
r
eq
u
en
c
y
o
f
s
p
o
r
ts
ac
tiv
itie
s
an
d
th
e
E
MG
s
ig
n
al
d
u
r
in
g
m
u
s
cle
co
n
tr
ac
tio
n
.
Me
an
w
h
ile,
th
e
c
o
r
r
elatio
n
b
et
w
ee
n
t
h
e
f
r
eq
u
e
n
c
y
o
f
s
p
o
r
ts
ac
tiv
itie
s
an
d
th
e
E
MG
s
ig
n
al
d
u
r
in
g
m
u
s
cle
r
ela
x
atio
n
i
s
q
u
i
te
lo
w,
o
n
l
y
0
.
2
6
1
,
in
d
icatin
g
t
h
at
t
h
e
E
MG
s
ig
n
al
d
u
r
in
g
r
ela
x
atio
n
is
n
o
t
d
ep
en
d
en
t
o
n
an
i
n
d
iv
id
u
al
’
s
s
p
o
r
ts
ac
ti
v
it
y
.
T
h
e
co
m
p
ar
is
o
n
ch
ar
t o
f
s
p
o
r
ts
ac
tiv
it
y
f
r
eq
u
e
n
c
y
w
it
h
E
MG
s
ig
n
al
s
d
u
r
in
g
m
u
s
cle
co
n
tr
ac
tio
n
an
d
r
elax
a
tio
n
ca
n
b
e
o
b
s
er
v
ed
in
Fig
u
r
e
5
.
Fig
u
r
e
5
p
r
o
v
id
es
a
b
etter
u
n
d
er
s
tan
d
i
n
g
o
f
th
e
r
esu
lts
p
r
ese
n
ted
in
T
ab
le
1
.
Fig
u
r
e
5
s
h
o
w
s
th
e
r
elatio
n
s
h
i
p
b
etw
ee
n
ex
er
cise
f
r
eq
u
en
c
y
,
m
u
s
c
le
co
n
tr
ac
tio
n
,
an
d
r
elax
atio
n
.
T
h
e
b
lu
e
lin
e
s
h
o
w
s
t
h
e
ex
er
cise
f
r
eq
u
en
c
y
,
as
ex
er
ci
s
e
f
r
eq
u
en
c
y
i
n
cr
ea
s
es,
m
u
s
c
le
co
n
tr
ac
tio
n
in
cr
ea
s
es,
a
s
s
h
o
w
n
b
y
t
h
e
o
r
an
g
e
li
n
e.
T
h
is
s
h
o
w
s
a
p
o
s
iti
v
e
co
r
r
elatio
n
b
et
w
ee
n
t
h
e
t
w
o
p
ar
am
eter
s
.
T
h
e
lin
ea
r
co
n
tr
ac
tio
n
tr
en
d
,
s
h
o
w
n
b
y
t
h
e
d
ash
ed
o
r
an
g
e
lin
e,
h
i
g
h
lig
h
ts
t
h
e
s
tead
y
in
cr
ea
s
e
in
m
u
s
cle
co
n
tr
ac
ti
o
n
o
v
er
ti
m
e.
Me
an
w
h
ile,
t
h
e
g
r
a
y
li
n
e
s
h
o
w
s
m
u
s
cle
r
elax
at
io
n
r
e
m
ai
n
ed
co
n
s
is
te
n
tl
y
lo
w
t
h
r
o
u
g
h
o
u
t
t
h
e
p
er
io
d
.
T
h
is
s
h
o
w
s
t
h
at
as
th
e
f
r
eq
u
e
n
c
y
o
f
p
h
y
s
ical
ac
tiv
it
y
i
n
cr
e
ases
,
m
u
s
cle
co
n
tr
ac
tio
n
in
cr
ea
s
es
w
h
i
le
m
u
s
cle
r
elax
atio
n
is
lo
w
.
T
h
is
s
h
o
w
s
th
at
th
e
m
u
s
cles
ar
e
u
n
d
er
s
tr
ess
as
th
e
ac
tiv
it
y
lev
e
l
in
cr
ea
s
es.
Ov
er
all,
th
e
g
r
ap
h
ill
u
s
tr
ate
s
h
o
w
i
n
cr
ea
s
i
n
g
ex
er
cise a
ct
iv
i
t
y
lead
s
to
g
r
e
ater
m
u
s
cle
co
n
tr
ac
tio
n
,
w
i
th
l
ess
r
elax
at
io
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
2
3
,
No
.
2
,
A
p
r
il
20
2
5
:
4
6
6
-
472
470
T
ab
le
1
.
T
h
e
E
MG
s
ig
n
al
m
ea
s
u
r
e
m
en
t
s
o
n
3
0
p
ar
ticip
an
ts
No
A
g
e
(
y
e
a
r
s)
H
e
i
g
h
t
(
c
m)
B
o
d
y
w
e
i
g
h
t
(
k
g
)
f
r
e
q
u
e
n
c
y
o
f
sp
o
r
t
s a
c
t
i
v
i
t
i
e
s
(
t
i
me
s a
mo
n
t
h
)
EM
G
si
g
n
a
l
d
u
r
i
n
g
mu
scl
e
c
o
n
t
r
a
c
t
i
o
n
(
v
o
l
t
)
EM
G
si
g
n
a
l
d
u
r
i
n
g
mu
scl
e
r
e
l
a
x
a
t
i
o
n
(
v
o
l
t
)
1
21
1
7
0
59
2
2
.
3
0
0
.
0
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20
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6
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53
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1
0
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6
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21
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7
4
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1
2
.
4
0
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0
3
4
20
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6
5
65
0
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7
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0
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23
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2
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28
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5
Fig
u
r
e
5
.
I
llu
s
tr
atio
n
o
f
co
m
p
a
r
is
o
n
b
et
w
ee
n
s
p
o
r
ts
ac
ti
v
it
y
f
r
eq
u
en
c
y
w
i
th
E
MG
s
i
g
n
al
s
d
u
r
in
g
m
u
s
cle
co
n
tr
ac
tio
n
an
d
r
elax
at
io
n
4.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
f
in
d
i
n
g
s
r
ev
ea
led
a
co
r
r
elatio
n
an
al
y
s
i
s
b
et
w
ee
n
th
e
f
r
eq
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