sleep analysis software sleepsign for animal kissei comtec co., ltd. ( japan ) we are developing a...
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![Page 1: Sleep Analysis Software SleepSign for Animal KISSEI COMTEC Co., LTD. ( JAPAN ) We are developing a New Automatic Scoring Algorithm! Algorithm for sleep](https://reader033.vdocuments.mx/reader033/viewer/2022061610/5697bfc01a28abf838ca3d77/html5/thumbnails/1.jpg)
Sleep Analysis SoftwareSleep Analysis Software
SleepSign for AnimalSleepSign for Animal
KISSEI COMTEC Co., LTD. ( JAPAN )
We are developing a We are developing a
New Automatic Scoring Algorithm!New Automatic Scoring Algorithm!
Algorithm for sleep scoring in experimental animalsAlgorithm for sleep scoring in experimental animals
based on fast Fourier transform power spectrum analysisbased on fast Fourier transform power spectrum analysis
of the electroencephalogramof the electroencephalogram
Collaborating withCollaborating with
Osaka Bioscience Institute, JapanOsaka Bioscience Institute, Japan
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AcceptedAlgorithm for sleep scoring in experimental Algorithm for sleep scoring in experimental
animals based on fast Fourier transform animals based on fast Fourier transform power spectrum analysis of the power spectrum analysis of the
electroencephalogramelectroencephalogram
Sayaka Kohtoh,1 Yujiro Taguchi,1 Masashi Wada,2 Naomi Matsumoto,2 Zhi-LiHuang,2 and Yoshihiro Urade2
1Department of Medical Systems, Kissei Comtec Co., Ltd., Nagano, and2Department of Molecular Behavioral Biology, Osaka Bioscience Institute, Osaka,Japan
Sleep Biological and RhythmsSleep Biological and Rhythms
Volume 6 Number 3 July 2008Volume 6 Number 3 July 2008
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Joint project withOsaka Bioscience Institute (OBI), Japan
http://www.obi.or.jp/
A top notch research institute dedicating A top notch research institute dedicating to the sleep mechanismto the sleep mechanism
Ranked as having one of the highest ratios Ranked as having one of the highest ratios of scientific Papers citing in the worldof scientific Papers citing in the world
Discovered Prostaglandin D2 in 2002Discovered Prostaglandin D2 in 2002
An introduction of OBI appeared in ASBMB An introduction of OBI appeared in ASBMB (( October 2006, P10October 2006, P10 ~~ 12 12 ))
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AdvantagesWe selected 4 parametersWe selected 4 parameters
EEG δ power , EEG θ / (δ+θ) ratio ,EEG δ power , EEG θ / (δ+θ) ratio ,
EMG integral , ActivityEMG integral , Activity
Percent agreementPercent agreement
90.9 ± 4.0%90.9 ± 4.0% for rats ,for rats , 90.0 ± 3.2%90.0 ± 3.2% for micefor mice
Processing speed is 1/6 of the Processing speed is 1/6 of the existing versionexisting version
Multiple animals are scored at onceMultiple animals are scored at once
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New Automatic Scoring Algorithm
ActivityActivityEEG
Wake Non REM REM
Scoring LogicScoring Logic
Fast FourierFast FourierTransformTransform
EMG
IntegralIntegral
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Typical waveform and FFT spectrumActive wake Quiet wake REM sleep NREM sleep
LOC
EMG
EEGF
FT
spe
ctru
m
LOC
EMG
EEG
FF
T s
pect
rum
rat
mou
se
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Wake N
on
REM
R
EM
EE
G
/(+
) r
atio
(%
)
EEG power (V2) EMG integral (V/sec)
EE
G
/(+
) r
atio
(%
)
rat
mou
se
3 parameters to separate NREM, REM, and Wakefulness
Non REM
Non REM
REM
REM
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Activity ?
Active Wake
NREM Sleep
EEG
REM Sleep
High EEG power ?
High EEG ratio and
High EMG Integral
EEG / EMG
Yes
Yes
No
No
Quiet Wake
Yes
No
Step : 1
Step : 2
Step : 3
Locomotor
Scoring Logic
Locomotor
EEG δ wave
EEG θ wave
EMG
W
R
NR
Hypnogram
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Time courses of parameters and hypnogram
WR
NR
Lo
com
otio
na
ctiv
ity (
cou
nt)
EE
G
po
we
r(
V2 )
EE
G/
(+)
ra
tio(%
)
EM
Gin
teg
ral
(V
/se
c)
12:00 14:00 16:00 24:00 02:00 04:00Clock time
Light phase Dark phase
rat
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Time courses of parameters and hypnogram
WR
NR
Lo
com
otio
na
ctiv
ity (
cou
nt)
EE
G
po
we
r(
V2 )
EE
G/
(+)
ra
tio(%
)
EM
Gin
teg
ral
(V
/se
c)
Clock time
Light phase Dark phase
mouse
18:0014:00 16:00 22:00 24:00 02:00
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Percent agreement
between FFT algorithm and visuals
rat ( n = 10 ) mouse ( n = 23 )
Wake 93.4±5.6 91.6±4.8
REM 82.5±2.4 65.0±19.0
NREM 85.0±3.7 91.7±6.7
All States 90.9±4.0 90.0±3.2
% %
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Processing time
Algorithm Waveform recognition FFT FFT
Filtered ○ ○ ×
40 min
4 hr
3 min
Pro
cess
ing
tim
e
in p
oole
d 2
4hr-
data
from
8ra
ts(m
in)
0
50
100
150
200
250
1 / 6
1 / 80
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Wake
0
20
40
60
80
100
8:00
10:00
12:00
14:00
16:00
18:00
20:00
22:00 0:0
02:0
04:0
06:0
0
time
% tim
e/h
NonREM
0
20
40
60
80
100
8:00
10:00
12:00
14:00
16:00
18:00
20:00
22:00 0:0
02:0
04:0
06:0
0
time
% tim
e/h
REM
0
10
20
30
40
8:00
10:00
12:00
14:00
16:00
18:00
20:00
22:00 0:0
02:0
04:0
06:0
0
time
% tim
e/h
Control
SD
Rat_
1SD
Rat_
2S
D R
at_3
SD
Rat_
4
SD Rat_1.csv
SD Rat_2.csv
SD Rat_3.csv
SD Rat_4.csv
After Scoring : Quick Report Making in Excel