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
来源：
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1998年 / 45卷 / 09期
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
相关论文
共 12 条
  • [1] EXTRACTING QUALITATIVE DYNAMICS FROM EXPERIMENTAL-DATA
    BROOMHEAD, DS
    KING, GP
    [J]. PHYSICA D, 1986, 20 (2-3): : 217 - 236
  • [2] ELSNER JB, 1996, SINGULAR SPECTRUM AN
  • [3] Hilborn RC, 1994, CHAOS NONLINEAR DYNA
  • [4] EEG ANALYSIS BASED ON TIME DOMAIN PROPERTIES
    HJORTH, B
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1970, 29 (03): : 306 - &
  • [5] SPECTRUM ANALYSIS - A MODERN PERSPECTIVE
    KAY, SM
    MARPLE, SL
    [J]. PROCEEDINGS OF THE IEEE, 1981, 69 (11) : 1380 - 1419
  • [6] KRKIC M, 1996, P I EL ENG AI METH B
  • [7] Marple S. L, 1987, Digital Spectral Analysis
  • [8] PAJAN JJ, 1997, P I EL ENG VIS IM SI, V144, P116
  • [9] A review of parametric modelling techniques for EEG analysis
    Pardey, J
    Roberts, S
    Tarassenko, L
    [J]. MEDICAL ENGINEERING & PHYSICS, 1996, 18 (01) : 2 - 11
  • [10] DIFFERENTIATION BETWEEN FINGER, TOE AND TONGUE MOVEMENT IN MAN BASED ON 40 HZ EEG
    PFURTSCHELLER, G
    FLOTZINGER, D
    NEUPER, C
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1994, 90 (06): : 456 - 460
12