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The Chaotic Analysis for Sleep Stage Classification using One-channel EEG signal

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Woo J. Choi The Chaotic Analysis for Sleep Stage Classification using One-channel EEG signal M.S candidate BK 21 projects for medical science, Yonsei University, College of Medicine Seoul, Korea Chung K. Lee, HanGue Jo, JuHyun Kim, Sun K. Yoo Ubiquitous Healthcare Computing Lab
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2 1
Materials and Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],2 Experimental Materials Subject Polygraphic recordings Four healthy young man between the ages of 27 and 29 years (mean age 27.5 years) EEG: central C3,C4 using GRASS electrode Measuring time: maximum of 8 hours EOG: left eye(+), right eye(-), ground( the middle of the forehead) EMG: beneath the chin
Results The result of Correlation Dimension D with respect to the different sleep stages. Light sleep1 : stage 1, Light sleep 2: stage 2, Deep sleep1 : stage 3, Deep sleep 2 : stage 4. The result of lyapunov exponent L with respect to the different sleep stages. Light sleep1 : stage 1, Light sleep 2: stage 2, Deep sleep1 : stage 3, Deep sleep 2 : stage 4. 2 1
Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2 1 2 1
Thank You ! Ubiquitous Healthcare Computing Lab

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The Chaotic Analysis for Sleep Stage Classification using One-channel EEG signal

  • 1. Woo J. Choi The Chaotic Analysis for Sleep Stage Classification using One-channel EEG signal M.S candidate BK 21 projects for medical science, Yonsei University, College of Medicine Seoul, Korea Chung K. Lee, HanGue Jo, JuHyun Kim, Sun K. Yoo Ubiquitous Healthcare Computing Lab
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  • 4. Results The result of Correlation Dimension D with respect to the different sleep stages. Light sleep1 : stage 1, Light sleep 2: stage 2, Deep sleep1 : stage 3, Deep sleep 2 : stage 4. The result of lyapunov exponent L with respect to the different sleep stages. Light sleep1 : stage 1, Light sleep 2: stage 2, Deep sleep1 : stage 3, Deep sleep 2 : stage 4. 2 1
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  • 6. Thank You ! Ubiquitous Healthcare Computing Lab

Editor's Notes

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