Assessment of chaotic parameters in nonstationary electrocardiograms by use of empirical mode decomposition

Annals of Biomedical Engineering

Volumn 32, Issue 10, 2004, Pages 1348-1354

  Salisbury, John I ^a   Sun, Ying ^b  

^a Echo Technology   (United States)

^b University of Rhode Island   (United States)

Author keywords

Chaos dynamics; Correlation dimension; ECG signal processing; ECG signals; Empirical mode decomposition; Entropy; Lyapunov exponent; Stationarity

Indexed keywords

CHAOS DYNAMICS; CORRELATION DIMENSION; ELECTROCARDIOGRAM (ECG) SIGNAL PROCESSING; ELECTROCARDIOGRAM (ECG) SIGNALS; EMPIRICAL MODE DECOMPOSITION; LYAPUNOV EXPONENT; STATIONARITY;

CHAOS THEORY; CORRELATION METHODS; DATABASE SYSTEMS; ENTROPY; LYAPUNOV METHODS; PARAMETER ESTIMATION;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; EVALUATION; HEART ARRHYTHMIA; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

ALGORITHMS; ARRHYTHMIA; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY, AMBULATORY; HUMANS; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 8644225794     PISSN: 00906964     EISSN: None     Source Type: Journal    
DOI: 10.1114/B:ABME.0000042223.87320.de     Document Type: Article

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