Internati
o
nal
Journal of Ele
c
trical
and Computer
Engineering
(IJE
CE)
Vol.
4, No. 6, Decem
ber
2014, pp. 893~
901
I
S
SN
: 208
8-8
7
0
8
8
93
Jo
urn
a
l
h
o
me
pa
ge
: h
ttp
://iaesjo
u
r
na
l.com/
o
n
lin
e/ind
e
x.ph
p
/
IJECE
Development of Wireless Patien
t’s Vital Sign Monitor Using
Wireless LAN (IEEE.802.
11.b/g) Protocol
Achm
ad Riz
a
l*, Ver
a
S
u
ryani**, Jondri**, Su
gond
o
H
a
diyos
o
***
*School of
Electrical
Eng
i
neerin
g, Telkom University
, Indon
esia
**Telkom Scho
ol of Computing
,
Telkom Univer
sity
, Indon
esia
***Telkom App
lied
Scien
c
e Sch
ool
,
Telkom University
, Indonesia
Article Info
A
B
STRAC
T
Article histo
r
y:
Received
J
u
n 26, 2014
R
e
vi
sed Oct
3,
2
0
1
4
Accepted Oct 17, 2014
Vital sign m
onitor is t
y
pi
ca
l m
e
dical
instrum
e
nt for basic p
h
y
siolog
ical
m
easurem
ent.
Medica
l pra
c
ti
ti
oner assesses a
pati
ent’s he
alth
condition
b
y
observing measurement resu
lts
shown in displa
y. In th
is research
, we
designed low
co
st, wireless, PC-based vi
tal sign
monitor. Signals
captur
e
d in
designed vital sign monitor ar
e e
l
ec
trocard
i
ogra
m
(ECG),
photopleth
y
smogram (PPG), and bod
y
te
mperature. Captur
ed data ar
e
transm
itted vi
a wireless LAN module so th
at m
e
dical practit
ion
e
r is able to
monitor patient’
s condition remo
tely
fro
m anoth
e
r room or place.
The s
y
stem
worked well for
maximum transmission
distance about 45 meter
s
for LOS
condition
and
20
m
e
ter
for NLOS condi
tion.
Keyword:
B
ody
t
e
m
p
erat
ure
ECG
PPG
Vital sig
n
m
o
n
ito
r
W
i
reless L
A
N
Copyright ©
201
4 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
i
ng
Autho
r
:
Achm
ad Rizal,
Sch
ool
o
f
El
ec
t
r
i
cal
En
gi
neer
i
ng,
Tel
k
om
Uni
v
e
r
si
t
y
,
Jal
a
n Tel
e
kom
uni
kasi
, Te
r
u
sa
n B
u
ah
B
a
t
u
,
B
a
nd
u
n
g
4
0
2
5
7
In
d
onesi
a
Em
a
il: ach
m
a
d
r
izal@telk
o
m
u
n
i
v
e
rsity.ac.id
1.
INTRODUCTION
One
of m
o
st
pop
ul
ar m
e
di
cal devi
ces u
s
ed i
n
i
n
t
e
nsi
v
e car
e uni
t
(IC
U) r
oom
i
s
vi
t
a
l
sign m
oni
t
o
r
,
k
nown also as m
u
lti-p
a
rameter p
a
tien
t
m
o
n
itor. Th
is dev
i
ce is
u
s
ed to
m
o
n
ito
r patien
t
con
d
ition
b
y
m
easuri
n
g pat
i
ent
bi
o
-
si
g
n
al
suc
h
el
ect
roca
rdi
o
g
r
am
(ECG),
respi
r
at
i
o
n
rat
e
, no
n-i
nva
si
ve bl
o
o
d
pre
ssur
e
,
blood oxyge
n
saturation
(SpO2)
a
nd
body tem
p
erature
.
By
looki
ng at these signals, a
m
e
dical pract
itione
r
can
assess th
e
co
nd
itio
n of a
p
a
tien
t
thu
s
any i
mmed
i
at
e actio
n
can
b
e
tak
e
n if em
erg
e
n
c
y situ
ation
occu
rs
[1]
.
Th
e
v
ital sig
n
m
o
n
ito
r un
its are usu
a
lly in
t
h
e form
o
f
h
a
rdware i
n
stalled
i
n
th
e p
a
tien
t
's b
o
d
y
with
a
screen p
l
aced
at th
e
p
a
tien
t
's
b
e
d
s
id
e. To
see th
e con
d
ition
o
f
th
e
p
a
tient, th
e m
e
d
i
cal p
r
actitio
n
e
r sho
u
l
d
go
to
th
e p
a
tien
t
's b
e
d
to
see the resu
lts o
f
the
m
easu
r
em
en
t
sig
n
a
l su
ch
patien
t
s. Each
un
it is typ
i
cal
ly
h
i
g
h
-
p
r
iced
th
at
on
ly affo
rd
ab
le b
y
larg
e ho
sp
itals.
Co
n
s
i
d
eri
n
g the abo
v
e
situ
atio
n, th
is
stud
y
seek
s t
o
d
e
v
e
l
o
p a low-co
st
wireless
v
ital sig
n
s
m
o
n
itor
devi
ce. T
h
e de
vi
ce con
s
i
s
t
s
o
f
a har
d
wa
re t
o
acq
ui
re si
g
n
a
l
s
from
t
h
e pat
i
e
nt
and a so
ft
ware t
o
s
h
ow
si
gnal
m
easurem
ent
r
e
sul
t
s
.
O
n
t
h
e
har
d
ware,
a t
r
ansm
i
ssi
on m
odul
es
u
s
i
n
g
wi
rel
e
ss L
A
N
pr
ot
oc
ol
s
(8
0
2
.
1
1b
) i
s
ad
d
e
d
so th
at
measu
r
em
en
t d
a
ta can
b
e
tran
sm
it
ted
ov
er
a wireless n
e
t
w
ork. Th
e t
r
ansmitted
sig
n
a
ls can
b
e
receive
d on a
pers
onal com
puter
or la
ptop that has
bee
n
fi
tted with the
s
o
ft
ware c
r
eated.
W
i
t
h
this sy
ste
m
, it
is ex
p
ected
th
at
m
e
d
i
cal p
r
actitio
n
e
rs
n
o
long
er
n
e
ed
to
g
o
in
to
IC
U roo
m
to
o
o
f
ten
to
see p
a
tien
t
’s
v
ital sig
n
s
because the
signal can be
m
o
nitored from
out
si
de the
patient
'
s
room
or m
e
dic’s office.
Seve
ral
wi
rel
e
ss vi
t
a
l
si
gn
m
oni
t
o
r ha
d bee
n
de
vel
o
pt
usi
ng
di
ffe
rent
t
r
a
n
sm
i
ssi
on pr
ot
ocol
. Zi
gB
e
e
i
s
a p
r
ot
oc
ol
t
h
at
i
s
oft
e
n
use
d
f
o
r
vi
t
a
l
si
g
n
m
oni
t
o
rs dat
a
[
2
]
.
Zi
g
b
ee
has
rel
a
t
i
v
el
y
l
o
w
po
we
r c
ons
um
pt
i
o
n
mak
i
n
g
it su
itab
l
e fo
r low
bit rate d
a
ta tran
sm
issio
n
[3
]
[4].
Som
e
rese
arch prefe
r
u
s
in
g w
i
r
e
less LA
N fo
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
IJECE Vol. 4, No. 6, D
ecem
ber 2014
:
893 – 901
89
4
v
ital sig
n
d
a
ta
tran
sm
issio
n
[5
] [6
]. Th
is is d
u
e
to
t
h
e wireless LAN
d
e
v
i
ce is a d
e
v
i
ce th
at is al
m
o
st a
l
ways
p
r
esen
t i
n
th
e
PC, m
o
b
ile pho
n
e
o
r
o
t
h
e
r co
mm
u
n
i
catio
n
d
e
v
i
ce. So
it
do
es
no
t need ad
d
ition
a
l
d
e
v
i
ces su
ch
as
Zigbee. Fa
rther
tra
n
sm
is
sion
distance
also bein
g c
o
nsi
d
e
r
ed
as a
sel
ect
i
on
o
f
wi
rel
e
ss L
A
N
dat
a
t
r
ansm
i
ssi
on p
r
ot
oc
ol
.
In
this resea
r
ch
,
we
devel
opt
PC-bas
ed
wi
re
less
LAN v
ital sig
n
s
m
o
n
ito
r. Measu
r
ed
signal
are
EC
G,
PPG a
n
d body te
m
p
erature
.
We expecte
d
to
ob
tain
a
reliab
l
e bu
t m
o
re affo
rd
ab
le v
ital sig
n
s
m
o
n
itor wit
h
h
i
gh
m
o
b
ility t
h
at can b
e
used fo
r co
mm
u
n
ity h
ealth
cen
t
er
o
r
sm
al
l h
o
s
p
ital in
Ind
o
n
e
sia.
2.
BASIC THE
O
RY
2.
1.
Vital
Sign Monitor
V
ital sig
n
m
o
n
ito
r
is a
d
e
v
i
ce f
o
r
m
easu
r
in
g
v
ital sig
n
a
l
s
o
f
p
a
tien
t
s su
ch
as non
-
i
nv
asiv
e
b
l
ood
press
u
re (
N
IB
P),
oxy
gen s
a
t
u
rat
i
o
n (
S
P
O
2
)
, n
u
m
b
er of
he
art
b
eat
s (
p
ul
se rat
e
), EC
G an
d
t
e
m
p
erat
ure
[7
]
.
The
4p
ossi
bl
e de
vi
ce onl
y
m
easures 4 si
gnal
s
whi
l
e
t
h
e m
o
st
com
p
l
e
x si
gn
al
s can m
easure up t
o
8 si
gn
al
s wi
t
h
ad
d
ition
a
l signals resp
i
r
atio
n, EEG sign
als,
EOG and
re
spirato
r
y airflow. In
th
is
stud
y, we
bu
ilt v
ital sig
n
m
oni
t
o
r t
h
at
capabl
e
of m
easuri
ng
vi
t
a
l
si
gns
EC
G si
gn
al
, ph
ot
o
p
l
e
t
h
y
s
m
ogram
, t
h
e num
ber
of
he
art
b
eat
r
a
te, an
d bod
y
te
m
p
er
atu
r
e.
2.
2.
ECG
ECG sig
n
a
l is a sig
n
a
l g
e
n
e
rated
b
y
th
e h
e
art as th
e rep
r
esen
tatio
n
o
f
th
e electrical a
c
tiv
ity o
f
th
e
h
eart. Ex
am
in
in
g
t
h
e ECG
sig
n
a
l allows a
med
i
cal p
r
actitio
n
e
r to
k
now a p
e
rson
's lev
e
l o
f
card
i
o
v
a
scu
l
ar
health.
ECG signals
are
asses
s
ed
from
the s
h
ape
,
orie
nt
atio
n and
rh
yth
m
[8
]. ECG signal sh
ap
e ap
p
e
ar
s as in
Fi
gu
re 1:
Fi
gu
re
1. EC
G
si
gnal
Each
wa
ve
of t
h
e EC
G si
gnal
i
s
ex
presse
d a
s
f
o
l
l
o
ws
[
9
]
:
1.
P wa
ve
occ
u
rs
due
t
o
at
ri
um
depol
a
r
i
zat
i
on.
2.
QR
S
c
o
m
p
l
e
x occu
rs d
u
e
t
o
v
e
nt
ri
cul
a
r dep
o
l
ari
zat
i
on pr
oc
ess.
3.
T
wa
ve occ
u
rs
due
t
o
ve
nt
ri
cu
l
a
r
re
pol
a
r
i
zat
i
o
n
.
4.
PR
i
n
t
e
r
v
al
i
n
d
i
cat
es t
h
e t
i
m
e
of
o
n
set
of
at
ri
um
cont
ract
i
o
n
t
o
t
h
e
be
gi
nni
ng
o
f
ve
nt
ri
cul
a
r c
ont
ract
i
o
n
.
5.
RT in
terv
als sho
w
s m
u
scle con
t
raction
(systo
le v
e
n
t
ricle),
an
d
6.
TR in
terv
al sho
w
s m
u
scle relax
a
tio
n (d
iastole v
e
n
t
ricle).
A p
a
ir
o
f
electrod
e, or co
m
b
in
ation
of sev
e
ral el
ectrode
s, attached in
th
e bo
dy
t
o
ca
pt
u
r
ed EC
G
sig
n
a
l, is called
lead
. The tech
n
i
qu
e wh
i
c
h
is o
f
te
n
us
ed for a lead to capture E
C
G signals on ECG
m
oni
t
o
ri
ng i
s
Ei
nt
h
ove
n t
r
i
a
ngl
e. T
h
e pl
ac
em
ent
of t
h
e el
ect
rodes t
o
t
a
ke EC
G si
g
n
a
l
from
body
usi
n
g
Ei
nt
h
ove
n'
s t
r
i
a
ngl
e i
s
sh
o
w
n
i
n
Fi
gu
re
2.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
Developme
nt
of Wireless Pati
en
t’s
Vital Si
gn M
o
nitor
Usi
n
g
Wireless LA
N … (Achmad
Rizal)
89
5
Fi
gu
re
2.
Ei
nt
h
ove
n t
r
i
a
n
g
l
e
On Ein
t
h
o
v
e
n
'
s triang
le, t
h
ere are t
h
ree
p
o
in
t lead
, i.
e le
ad
I, lea
d
II a
n
d lead III. L
ead
I is t
h
e
pote
n
tial difference
betwee
n t
h
e left a
r
m
and right a
r
m
.
Lead
II is th
e po
ten
tial d
i
ffer
en
ce b
e
tween th
e left leg
an
d
righ
t arm
.
Lead
III, is th
e p
o
t
en
tial d
i
fferen
ce
b
e
tw
een
th
e left-h
and
leg
and
left arm
.
Mean
wh
ile righ
t leg
ser
v
es as a grou
nd
t
o
r
e
du
ce
n
o
i
se.
2.
3.
Phot
oplet
h
y
s
mog
r
aph (
P
PG)
Ph
ot
o
p
l
e
t
h
y
s
m
o
g
r
a
ph (
P
P
G
)
i
s
a t
echni
que
for m
easuri
n
g
chan
ges i
n
t
h
e vol
um
e of a bo
dy
part
/
o
r
g
a
n
b
y
u
tilizin
g
op
tical ph
en
o
m
en
a [10
]
.
PPG is
u
s
ed in th
is st
u
d
y
t
o
measu
r
e ch
an
ges of
b
l
ood
v
o
l
u
m
e in
p
a
tien
t
’s
fing
er to
m
o
n
ito
r th
e b
l
oo
d
pu
m
p
in
g
activ
ity o
f
the p
a
tien
t
’s
h
e
art. In
fo
rm
atio
n
tak
e
n
fro
m
th
e PPG
sig
n
a
ls can
b
e
u
s
ed
to
co
un
t th
e nu
m
b
er of
heart
b
eats. There are 2 m
odes
that can typically be used, na
m
e
ly
t
h
e t
r
ansm
i
ssi
on m
ode an
d P
P
G r
e
fl
ect
i
o
n
m
ode [1
1]
. Ea
ch co
n
f
i
g
urat
i
on m
ode ca
n
b
e
seen i
n
Fi
g
u
r
e
3.
In
t
h
i
s
resea
r
ch
w
e
use
d
PPG
re
f
l
ect
i
on m
ode.
(a) Tra
n
sm
ission
m
ode
(b
) Reflectio
n
m
ode
Fi
gu
re 3.
PP
G sens
or co
nfi
g
u
r
at
i
o
n
m
ode
2.
4.
Wireless LAN
W
i
reless lo
cal area n
e
two
r
k
(LAN) 802
.1
1b stan
d
a
rd
is th
e first wireless LAN techn
o
l
og
y th
at h
a
s
dat
a
spee
ds
u
p
t
o
1
1
M
b
ps
[1
2]
. T
h
e t
r
a
n
sfe
r
s
p
ee
d is
affecte
d
by
distance betwee
n the
sender a
nd t
h
e
recipient, and
whet
her there
i
s
any
obstacle betwee
n them
.
The
802.11b st
anda
rd uses
t
h
e
2.4 GHz fre
quency
whic
h is freel
y used for i
n
dustrial, resea
r
c
h
, and
m
e
dical (ISM)
purposes. The m
a
xim
u
m transmit
powe
r
allo
wed b
y
t
h
is stand
a
rd
is
100
m
W
.
3.
R
E
SEARC
H M
ETHOD
3.
1
Sys
t
em Desi
g
n
The sy
st
em
desi
gne
d i
n
t
h
i
s
r
e
search i
s
as
s
h
o
w
n i
n
Fi
gu
r
e
4. T
h
e sy
st
e
m
consi
s
t
s
o
f
t
w
o
pa
rt
s, i
.
e.
h
a
rdware
p
a
rt
with
wireless
LAN m
o
du
le as th
e send
er an
d so
ftwa
re pa
rt
fo
r sig
n
al
vie
w
er at the
rece
iver.
At
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I
S
SN
:
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08
IJECE Vol. 4, No. 6, D
ecem
ber 2014
:
893 – 901
89
6
t
h
e sen
d
e
r
, t
h
e
si
gnal
bei
n
g
m
easured
are
ECG,
PPG and tem
p
erature. Th
e t
h
ree si
gnals are a
c
quired, t
h
e
n
m
u
l
tip
lex
e
d
i
n
micro
c
on
tro
ller, and
form
at
te
d
to fit th
e
d
a
ta fo
rm
at wireless LAN m
o
d
u
le. In
fo
rm
atio
n
to
be
displayed
on t
h
e receive
r are
the ECG
signal, PPG, tem
p
erature a
n
d he
art ra
te that are calculated from
the
PPG signal.
Fi
gu
re
4.
Sy
st
em
desi
gn
3.
2
E
C
G
S
ubs
ys
te
m
The electrodes
are us
ed as
s
e
ns
ors t
o
acquire EC
G si
gna
ls. Output signals from
elec
trodes are
am
pl
i
f
i
e
d by
b
i
o-
pot
e
n
t
i
a
l
am
pli
f
i
e
r usi
n
g
AD
6
2
0
[
1
3]
.
Furt
herm
ore,
t
h
e si
gnal
i
s
fi
l
t
ered
usi
n
g
ba
nd
-
p
ass
filter (BPF)
o
f
0
.
05
-4
0Hz. In n
e
x
t
ph
ase, the sig
n
a
l
is am
p
lified
and
filtered
u
s
i
n
g a lo
w-pass
filter (LPF)
2
0
Hz. In
th
e fi
n
a
l stag
e, th
e
sig
n
a
l lev
e
l is raised
u
s
i
n
g
cla
m
p
e
r so
as to allo
w th
e sig
n
a
l a
m
p
litu
d
e
in
th
e
ran
g
e
of
0
-
5
v
o
l
t
s
. B
l
oc
k
di
a
g
ram
of
EC
G
d
e
vi
ces are
di
s
p
l
a
y
e
d as i
n
Fi
g
u
re
5
.
Fi
gu
re 5.
B
l
oc
k Di
ag
ram
of EC
G Devi
ce
3.
3
PPG
S
ubs
yst
e
m
Reflectio
n
m
o
d
e
PPG sen
s
or is u
s
ed
to
cap
t
u
r
e PPG
si
g
n
a
l
.
Ou
tpu
t
sig
n
a
l
fro
m
th
e sen
s
o
r
is filtered
usi
n
g H
PF t
o
r
e
m
ove l
o
w-
fre
que
ncy
n
o
i
s
e.
Furt
herm
ore, t
h
e si
g
n
al
i
s
am
pl
i
f
i
e
d by
a fi
r
s
t
am
pl
i
f
i
e
r up
t
o
26
ti
m
e
s. In
th
e
nex
t
ph
ase of the sign
al is filtered u
s
i
n
g a low-p
a
ss
filters
(LPF) 20Hz and
th
e vo
ltag
e
lev
e
l is
rai
s
ed
usi
n
g
t
h
e ad
der
.
P
P
G
d
e
vi
ce bl
oc
k
di
agram
i
n
p
r
ese
n
t
e
d i
n
Fi
g
u
re
6
.
Fi
gu
re
6.
B
l
oc
k
di
ag
ram
of P
P
G
de
vi
ce
3.4 Microc
o
ntroll
er
and
Wirele
ss LAN
Module
Micro
c
on
tro
ller used
i
n
th
is stu
d
y
is
ATMEGA16
with
in
teg
r
ated
an
alog
-t
o
-
d
i
g
ital co
nv
erter
(A
DC
).
The
m
i
croc
ont
r
o
l
l
e
r
com
b
i
n
es t
h
re
e si
gnal
s
a
n
d
ch
anges t
h
eir
form
ats into se
rial form
that
can be
t
r
ansm
i
t
t
e
d o
v
e
r t
h
e
wi
rel
e
ss
LAN
m
odul
e.
The m
i
croco
n
t
r
ol
l
e
r ci
rcui
t
us
ed i
s
s
h
ow
n i
n
Fi
gu
re
7.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJECE
ISS
N
:
2088-8708
Developme
nt
of Wireless Pati
en
t’s
Vital Si
gn M
o
nitor
Usi
n
g
Wireless LA
N … (Achmad
Rizal)
89
7
Fi
gu
re
7.
ATM
E
GA
1
6
ci
rc
ui
t
W
i
rel
e
ss LA
N
m
odul
e t
h
at
i
s
use
d
i
n
t
h
i
s
st
udy
i
s
W
i
z6
1
0
w
i
from
W
i
znet
[1
4]
. Thi
s
m
odul
e serve
s
t
o
change the format the
m
i
crocont
roller se
ri
al d
a
ta ou
tpu
t
in
to
approp
ri
ate d
a
ta form
a
t
to
b
e
sen
t
ov
er t
h
e
wi
rel
e
ss L
A
N
pr
ot
oc
ol
. T
h
i
s
m
odul
e su
p
p
o
r
t
s
up
t
o
2
3
0
,
4
0
0
bps
seri
al
c
o
m
m
uni
cat
i
on a
n
d
can
com
m
uni
cat
e
poi
nt
to point with
a PC
without
usi
n
g acces
s points.
3.
5 Software
Su
bs
yste
m
The softwa
re
receives
data, perform
signal dem
u
ltiplexing, a
nd
display
the signal measurem
ent
resu
lts.
For ECG and
PPG,
th
e m
easu
r
em
e
n
t resu
lts are
disp
layed
in
g
r
ap
h
i
cal form
, wh
ile th
e tem
p
e
r
atu
r
e
data and calculation of the he
artbeat rate are
displayed in
num
e
ric. Flowc
h
art of the s
o
ft
ware is as shown in
Fi
gu
re 8.
St
a
r
t
O
n
l
i
n
e m
o
de
?
C
o
n
n
e
c
t w
i
th
th
e
d
e
vi
ce
C
o
n
nec
t
i
on
su
cce
s
?
R
e
c
e
i
v
e
an
d
d
i
sp
l
a
y d
a
t
a
O
pen
s
a
v
e
d
da
t
a
d
i
s
p
l
a
y
dat
a
fi
n
i
s
h
st
o
p
St
o
p
di
s
c
o
nn
e
c
t w
i
th
t
h
e dev
i
c
e
ye
s
No
ye
s
yes
ye
s
No
No
Fi
gu
re
8.
Pr
o
g
r
a
m
fl
owc
h
art
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I
S
SN
:
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088
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08
IJECE Vol. 4, No. 6, D
ecem
ber 2014
:
893 – 901
89
8
4.
R
E
SU
LTS AN
D ANA
LY
SIS
4.
1.
ECG, PPG and Temper
atur
e Bl
ocks Me
as
urement
Re
sult
We
use
d
Fl
uke
PS
40
0
EC
G
s
i
gnal
gen
e
rat
o
r
as i
n
p
u
t
f
o
r
E
C
G
devi
ce a
n
d
t
o
o
k
PP
G si
g
n
al
di
rect
l
y
fr
om
body
[
1
5]
. The
o
u
t
p
ut
si
gnal
s
wer
e
as s
h
o
w
n i
n
Fi
g
u
re
9.
Fi
g
u
re
9 s
h
ows
t
h
e EC
G a
nd
PP
G si
g
n
al
s
t
h
at
were
di
rect
l
y
taken
fr
om
t
h
e
pat
i
e
nt
'
s
body
.
Bot
h
o
f
t
h
ese
si
gnal
s
are
no
i
s
e-free a
n
d t
h
ei
r basi
c fo
rm
s wer
e
clearly v
i
sib
l
e.
It can b
e
con
c
l
u
d
e
d
t
h
at th
e an
alog
si
g
n
a
l acq
u
i
sition
d
e
v
i
ce wo
rk
ed
well.
(a)
(b
)
Figu
re
9.
(a
) E
C
G sig
n
al
(b
)
PPG
sig
n
al
Testing
results
showe
d
that
accuracy for te
m
p
er
ature measurem
ent us
ing LM
35 se
nsor
reac
hed
9
8
,16
%
.
Fro
m
th
is m
easu
r
emen
t resu
lt, t
h
e sig
n
a
l
acq
u
i
sition
p
a
rt h
a
d
b
een
fu
n
c
tion
i
ng
p
r
o
p
e
rly.
2.
1.
Microc
o
ntroll
er and Wirele
ss LAN
Modu
le Testing
Micro
c
on
tro
ller co
m
b
in
ed
the th
ree sig
n
a
ls o
f
EC
G, PPG, an
d
bod
y tem
p
eratu
r
e, th
en
tran
sm
itted
the data
via
wireless L
AN m
odule to P
C
. To
ve
rify
that those
signals we
re tra
n
sm
itted correc
tly, we
rechec
ke
d the receive
d data in hype
rt
erm
i
nal application.
Figure 10 show
ed the
readi
n
g of
data trans
m
itted
b
y
th
e h
a
rd
ware. Th
e
first co
l
u
m
n
is PPG d
a
ta, th
e second
co
lu
m
n
is ECG d
a
ta, and
the th
ird
is tem
p
eratu
r
e
dat
a
.
Figu
re
1
0
.
Dat
a
f
o
rm
at in txt
fo
rm
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
Developme
nt
of Wireless Pati
en
t’s
Vital Si
gn M
o
nitor
Usi
n
g
Wireless LA
N … (Achmad
Rizal)
89
9
4.
2.
Application T
e
sting
Fig
u
re 11
sh
ows th
e app
licatio
n
in
PC to
d
i
sp
lay v
ital sig
n
d
a
ta. ECG and
PPG sign
al are d
i
sp
lay
e
d
as gra
phi
c;
m
e
anw
h
i
l
e
bo
dy
t
e
m
p
erat
ur
e an
d hea
r
t
rat
e
are showe
d
in numeric. W
e
use the
sam
e
GUI disply
wi
t
h
o
u
r
p
r
e
v
i
ous
w
o
r
k
[1
6]
.
EC
G a
nd
PP
G si
g
n
al
s are
di
spl
a
y
e
d a
p
pr
op
ri
at
el
y
wi
t
h
st
anda
rd
si
g
n
al
so
we
can say that t
h
e application
work
well. Ac
curacy of
body
te
m
p
erature
measurem
ent reaches
98,27%
and for
heart rate
reac
hes 99,88%
.
Fi
gu
re 1
1
. A
p
p
l
i
cat
i
on
di
s
p
l
a
y
4.
3.
Transmissi
on Distance
Tes
t
i
n
g
One
feature de
signe
d in the
device is wireless data
transm
ission. Tra
n
sm
ission
distance
was tested t
o
see how
far
dat
a
coul
d
be rece
ived
by the rec
e
iver. To
e
n
sure the quality of the receive
d si
gnal,
we m
easure
d
sev
e
ral
p
a
ram
e
ters su
ch as
d
e
lay an
d j
itter. Delay can
be form
u
l
a
t
ed
as fo
ll
o
w
s [17
]
:
(1)
W
h
ile thoug
hpu
t w
a
s for
m
u
l
a
t
ed
as
f
o
llow
[1
6
]
:
(2)
Jitter is th
e
v
a
riatio
n
i
n
d
e
lay th
at o
c
curs i
n
t
h
e
n
e
two
r
k
[17
]
.
If th
e v
a
l
u
e t
h
e
g
r
eater
th
e
n
e
two
r
k
p
e
rform
a
n
ce is g
e
ttin
g worse. Jitter fo
rm
u
l
ated
as fo
llo
ws:
(3)
(4)
Measurem
ents were take
n at two scena
r
ios
i.e. co
n
d
i
t
i
ons
of l
i
n
e of si
g
h
t
(LO
S
) a
nd
no
n
-
l
i
n
e of
sight (NLOS). From
the
m
eas
urem
ents
, th
e ob
tain
ed resu
lts
were as
p
r
esented
in
Tab
l
e
1
an
d Tab
l
e 2.
Tab
l
e
1
.
Measu
r
em
en
t in
LOS cond
itio
n
Distance (
m
)
Delay (
m
s)
Jitter (
m
s)
15
9,
5
0,
95
30
13,
2
1,
7
45
15,
07
2,
4
Table
2. Meas
urem
ent in
NL
OS c
o
ndition
Distance (
m
)
Delay (
m
s)
Jitter (
m
s)
10
15,
5
2,
6
20
16,
7
2,
7
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
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08
IJECE Vol. 4, No. 6, D
ecem
ber 2014
:
893 – 901
90
0
Tabl
es
1 an
d
2 s
h
o
w
e
d
t
h
at
t
h
e L
O
S c
o
n
d
i
t
i
on
was
rea
c
hed
at
di
st
an
ce of
m
a
xim
u
m
45
m
e
t
e
rs,
wh
ile in
NLOS cond
itio
n
s
t
h
e farth
e
st
d
i
stan
ce was on
l
y
2
0
m
e
ters. Jitter an
d
d
e
lay v
a
lu
es
g
e
n
e
rally sti
l
l
meet th
e requ
ire
m
en
ts estab
lish
e
d fo
r wi
reless n
e
t
w
ork stand
a
rd
[17
]
.
5.
CO
NCL
USI
O
N
B
a
sed
on
t
h
e
i
m
pl
em
ent
a
t
i
on an
d t
e
st
i
n
g t
h
e
sy
st
em
, fo
u
r
c
oncl
u
si
o
n
s c
a
n
be
d
r
aw
n
fr
o
m
t
h
i
s
st
u
d
y
.
First, the
devi
ce sucess
f
ully
m
easures EC
G, PPG a
nd t
e
m
p
erature sim
u
ltaneous
ly. Second, the farthes
t
tran
sm
issio
n
distan
ce fo
r
LOS con
d
ition
is 4
5
m
e
ters
, wh
ile for NLOS con
d
ition
is 2
0
m
e
ters. Th
ird
,
application in the receive
r can dis
p
lay the receive
d
dat
a
correctly. Last, the accuracy of tem
p
erature
measurem
ent reaches
98,27
% while hea
r
t rate
m
eas
urem
e
n
t reac
hes
99,88 %
.
Nex
t
research will ex
ten
d
th
e co
nn
ection fro
m
p
o
i
n
t
-to-po
in
t t
o
p
o
i
nt-to
-
m
u
ltip
o
i
n
t
v
i
ew. Th
is
mean
s we on
ly n
e
ed
less
d
e
v
i
ces fo
r efficient d
a
ta tran
sm
is
sio
n
in
p
a
tien
t
’s v
ital sign
.
REFERE
NC
ES
[1]
___________,”
Vision Care 330i,” [online]
available at
http://www.acma-medical.com/
produ
ct.php
?
c
ategor
y=6
[accessed, Febr
u
a
r
y
, 2013]
[2]
Koces
ki, S
a
s
o
, et al
., "Continu
ous
real-tim
e
m
onitoring
of patient’s vital signs ba
sed on
ZigBee standar
d
",
International Jo
urnal of In
formatics
and
Communication
Techno
logy (
I
J-ICT)
, 3.2
,
2014
.
[3]
V. Suryani and A. Rizal
, “
F
easibilit
y Anal
ysis of
Zigbee Protoc
ol in W
i
reless Bod
y
Area Netwo
r
k”,
Internat
ion
a
l
Conference on
S
o
ft Computing
,
I
n
telligen
t System and Information
Technolog
y (
I
CSIIT)
, 2010, pp.
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I
J
ECE
I
S
SN
:
208
8-8
7
0
8
Developme
nt
of Wireless Pati
en
t’s
Vital Si
gn M
o
nitor
Usi
n
g
Wireless LA
N … (Achmad
Rizal)
90
1
BIOGRAP
HI
ES OF
AUTH
ORS
Achmad Rizal
received Master
degree in Bio
m
edical
Engin
e
ering from Institut
Teknolog
i
Bandung, B
a
nd
ung, Indonesia in Oct
ober 2006
. He join
ed as
a
Lecturer
in th
e
Department of
Electrical Engin
eering of
Telko
m
University
, in
2001. He is cur
r
ently
members
of Biomedical
Instrumentation
Research Group
in Telkom Universi
ty
. His r
e
sear
ch interests in
clu
d
e biomedical
signal processing, biomedical ima
ge processin
g
, biomedical in
st
rumentation and
t
e
le
me
di
c
i
ne
.
He is
m
e
m
b
er of
IEE
E
EM
B s
o
ci
et
y.
Vera Sur
y
ani r
e
ceived Master degree in Info
rm
ation Techo
l
og
y
fr
om Insitut Tekn
ologi bandung
,
Indonesia in 20
09. She joined
as a Lecturer in
the Department of Informarics of Telkom
Uni
v
e
r
si
ty
,
i
n
2003.
She
i
s
c
u
rre
nt
ly
me
mbe
r
s
of Unified Com
m
u
nica
tion in Te
lk
om
Universit
y
.
He
r re
sea
r
c
h
inte
re
sts inc
l
ude wire
le
ss se
nsor ne
twor
k, distribu
ted s
y
stem, an
d
internet of
things.
Jondri receiv
ed
Master degr
ee i
n
Mathem
at
ic
s f
r
om
Bandung In
stitute of
Techn
o
log
y
in
1999.
He has been joined as a Lectur
er at dep
a
rtment
of Informatic Telkom University
in 1995. His
res
earch
in
teres
t
s
are
m
achine
l
e
arning,
biom
edi
c
al
engine
ering
,
a
nd finan
c
e
m
a
th
em
atics
.
Sugondo Hadi
y
o
so received Master degre
e
in El
e
c
tri
cal-
T
e
l
ec
om
m
unication Engineer
ing from
Telkom Univer
sity
, Bandung,
Indonesia in Marc
h 2012. He joined as a Lectur
er in the
Department
of Electronics and
C
o
mmunication Engineer
ing of Telkom University, in 2010
. He
is currently
members of Biomed
ical Instrumentation Res
earch
Group in Telko
m
Univesity
.
His
re
se
a
r
c
h
inte
re
sts inc
l
ude
wire
le
ss se
nsor ne
tw
ork
,
embedded s
y
stem, logic design
on FPGA and
biomedical engineering
.
Evaluation Warning : The document was created with Spire.PDF for Python.