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

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

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 ））

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

New Automatic Scoring Algorithm

ActivityActivityEEG

Wake Non REM REM

Scoring LogicScoring Logic

Fast FourierFast FourierTransformTransform

EMG

IntegralIntegral

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

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

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

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

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

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

% %

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

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