Sleep Analysis Software SleepSign - PowerPoint PPT Presentation

About This Presentation
Title:

Sleep Analysis Software SleepSign

Description:

Sleep Analysis Software SleepSign for Animal Summary 1. History Industry standard software developed with OBI and accepted world wide 2. Data acquisition Any ... – PowerPoint PPT presentation

Number of Views:331
Avg rating:3.0/5.0
Slides: 35
Provided by: 2098229
Category:

less

Transcript and Presenter's Notes

Title: Sleep Analysis Software SleepSign


1
Sleep Analysis SoftwareSleepSign for Animal
2
Summary
  • 1. History
  • Industry standard software developed with
  • OBI and accepted world wide
  • 2. Data acquisition
  • Any devices can be integrated
  • 3. Sleep stage scoring
  • Easy enough for beginners
  • Sophisticated enough for experts
  • 4. Post analysis
  • Quick and easy reporting

3
(No Transcript)
4
Osaka Bioscience Institute
  • Discovered somnogenic effect of PGD2
  • Citation of published scientific papers, world
    NO.1
  • KISSEI co-developed SleepSign

Osaka
http//www.obi.or.jp
5
International customers
  • 13 countries, 240 licenses
  • Cited by most highly ranked scientific papers

Stanford University Center for Narcolepsy
Harvard Medical School Department of Neurology
Osaka Bioscience Institute Molecular Behavioral
Biology
Eastern Virginia Medical College Department of
Pathology and Anatomy
Tokyo Medical and Dental University Institute of
Biomaterials and Bioengineering
6
Korea Institute of Science and Technology Center
for Neuroscience
Beijing university Department of pharmacology
Eli Lilly Pfizer
Asia
India
Fudan university
EU
Jawahar Lal Nehru University
Chinese university of Hong Kong Center for
Neuroscience
Waseda-Olympus Institute. Singapore Center for
Neuroscience
Hôpital Pellegrin. Boudreaux France
GlaxoSmithKline
7
Digital data import
BIOPAC
SleepSign
Import directly
DSI Dataquest A.R.T
EDF file
(European Data Format)
8
Analogue recording
A/D conversion card
Analogue amplifier
9
Analogue recording Video
Camera
MPEG encoder card
A/D conversion card
Analogue amplifier
10
EEG is a wave
A wave is defined by Amplitude and Frequency
Amplitude
Frequency
Frequency
11
Human sleep EEG
12
FFT (Fast Fourier Transformation)
FFT maps the power of each frequency bins in a
wave
Waveform
Power spectra
µV2
Hz
µV2
Hz
13
Rat sleep stages
14
(No Transcript)
15
Wake to NREM
Wake
NREM
NREM
EEG
FFT
High amplitude slow wave
EMG
EMG becomes flat
16
NREM to REM
REM
REM
NREM
EEG
FFT
Low amplitude, theta wave
EMG
EMG is flat
17
REM to Wake
Wake
REM
Wake
EEG
Not rhythmical
FFT
EMG
EMG becomes active
18
Automatic scoring
  • Easy operation
  • Computer assists criteria decision
  • 85-95 agreement to human visual scoring

19
Various analysis parameters
Quality of sleep
The number of brief wake
Delta power for sleep stage
Total amount of each stage
Quantity of sleep
Duration of sleep wake episodes
Sleep onset
Evaluate efficacies on sleep regulation
20
The number of Brief wake (Hypnogram)
Timescale graph of sleep stages
21
Brief Wake between NREM Sleep in Mice
brief wake (lt16 s)
NREM
NREM
EEG
EMG
4 s
22
Total amount of sleep stage (Stage Graph)

Total amount spent in each sleep stages per time
bins
NonREM
Wake
REM
REM
Light
Dark
23
Mizoguchi Eguchi et al., PNAS 2001
24
Duration of sleep episodes (Vigilance State
Parameters)
25
Huang, et al., PNAS 2006
26
The amount of delta power (Average FFT)
Stage dependent average FFT per time bin
NREM/Light'
NREM/Dark
27
Multi Animal ScreeningNew function
28
Rat sleep stages
29
Simple interface
multi screening is executed after pre-setting
common value of screening parameters
Simple pre setting parameter menu
30
Initialize Scoring Ratio
Step1 calc each portions of R/W/NR
W 12
NR 80
R 8
Step2 multiple ratio of Light/Dark phase
NR 80
X
Light phase 80
Dark phase 20
NR 64
NR 16
Dark phase 20
Light phase 80
W 9.6
R 1.6
R6.4
NR 64
W 2.4
NR 16
31
Adjusting
32
Locmoter
33
Summary
  • 1. History
  • Industry standard software developed with
  • OBI and accepted world wide
  • 2. Data acquisition
  • Any devices can be integrated
  • 3. Sleep stage scoring
  • Easy enough for beginners
  • Sophisticated enough for experts
  • 4. Post analysis
  • Quick and easy reporting

34
Acknowledgments
Dr. T. Mochizuki (Beth Israel Deaconess Medical
Center and Harvard Medical School) Dr. X. Tang
(Eastern Virginia Medical School) Dr. Z. Huang
(Fudan University and Osaka Bioscience
Institute) Dr. O. Hayaishi, Dr. Y. Urade (Osaka
Bioscience Institute) Dr. S. Nishino, N. Fujiki
(Stanford University, Center for Narcolepsy) Dr.
Z. Hu (Third Military Medical University) Dr. S.
Inoue, K. Honda (Tokyo Medical and Dental
University) Dr. N. Eguchi (Waseda-Olympus
Bioscience Reserach Institute)
Write a Comment
User Comments (0)
About PowerShow.com