Stochastic complexity measures for physiological signal analysis

被引:192
|
作者
Rezek, IA [1 ]
Roberts, SJ [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2BT, England
关键词
approximate entropy; autoregressive (AR) model order; spectral entropy (SE); state-space embedding; stochastic complexity;
D O I
10.1109/10.709563
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Traditional feature extraction methods describe signals in terms of amplitude and frequency. This paper takes a paradigm shift and investigates four stochastic-complexity features. Their advantages are demonstrated on synthetic and physiological signals; the latter recorded during periods of Cheyne-Stokes respiration, anesthesia, sleep, and motor-cortex investigation.
引用
收藏
页码:1186 / 1191
页数:6
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