Heartbeat classification using morphological and dynamic features of ECG signals

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 10, 2012, Pages 2930-2941

  Ye, Can ^a,b   Vijaya Kumar, B V K ^a   Coimbra, Miguel Tavares ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Heartbeat classification; independent component analysis; support vector machine; wavelet transform

Indexed keywords

CLASSIFICATION DECISION; DYNAMIC FEATURES; ECG SIGNALS; MORPHOLOGICAL FEATURES; RR INTERVALS; SUBJECT-ORIENTED;

INDEPENDENT COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

ELECTROCARDIOGRAPHY;

ACCURACY; ARTICLE; CLINICAL CLASSIFICATION; CONTROLLED STUDY; DATA BASE; ELECTROCARDIOGRAM; HEART ARRHYTHMIA; HEART BEAT; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MORPHOLOGY; RR INTERVAL; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

ARRHYTHMIAS, CARDIAC; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY, AMBULATORY; HEART RATE; HUMANS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

EID: 84866562436     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2213253     Document Type: Article

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