標題: Automatic stage scoring of single-channel sleep EEG based on multiscale permutation entropy
作者: Kuo, Chih-En
Liang, Sheng-Fu
智慧型仿生系統研究中心
Biomimetic Systems Research Center
關鍵字: Multiscale permutation entropy (MPE);automatic sleep scoring;single channel EEG;autoregressive (AR) model;linear discriminant analysis (LDA)
公開日期: 2011
摘要: Multiscale entropy is a recently developed method to estimate complexity associated with the long-range temporal correlation of a time series. Since sleep EEG patterns also change regularly from light to deep sleep states, we firstly applied multiscale permutation entropy (MPE) to analysis sleep EEG to investigate the relations between changes of sleep stages and the MPE values. It was observed that correlation coefficient between the averaged MPE values of sleep EEG and the manual scoring of sleep stages can reach over 0.7. Then a MPE-based sleep scoring method for single channel EEG was developed. After training based on the data from 10 subjects, the overall sensitivity of the proposed automatic sleep scoring method combining MPE, autoregressive models, and linear discriminant analysis can reach 89.1% evaluated by the data of the other 10 subjects. Due to high accuracy and requiring only single-channel EEG, the proposed method has good applicability for sleep monitoring and home cares.
URI: http://hdl.handle.net/11536/135517
ISBN: 978-1-4577-1470-2
ISSN: 2163-4025
期刊: 2011 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
起始頁: 448
結束頁: 451
Appears in Collections:Conferences Paper