AUTOMATED SLEEP STAGING TECHNIQUE BASED ON THE EMPIRICAL MODE DECOMPOSITION ALGORITHM: A PRELIMINARY STUDY

Author:

DONG JING1,LIU DONGDONG1,ZHANG CHENG2,MA JING2,WANG GUANGFA2,GUO DAN3,LIU YANHUI4,ZHONG HUA5,ZHANG JUE1,PENG CHUNG-KANG6,FANG JING5

Affiliation:

1. Department of Biomedical Engineering, Peking University, Beijing, 100871, China

2. Department of Pulmonary Medicine, Peking University First Hospital, Beijing, 100871, China

3. Sleep Disorders Center, Mei Tan General Hospital, Beijing, 100028, China

4. DynaDx Corporation, Mountain View, CA 94041, USA

5. Biomed-X Research Center, Academy of Advanced Interdisciplinary, Peking University, Beijing, 100871, China

6. Margret & H.A. Rey Institute of Nonlinear Dynamics in Physiology and Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA

Abstract

An automatic sleep staging method is proposed to score wakefulness and three nonrapid eye movement (NREM) stages S1, S2 and S3, based on the Empirical Mode Decomposition (EMD) algorithm. Patients with sleep disorders were tested using this method. Good agreements between manual and automatic staging results were achieved in terms of their Cohen's Kappa value.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Information Systems

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