Arrhythmia detection and classification using morphological and dynamic features of ECG signals

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 1918-1921

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

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ARRHYTHMIA CLASSIFICATION; ARRHYTHMIA DETECTION; CARDIAC ARRHYTHMIA; CARDIAC DISORDERS; CLASSIFICATION CONFIDENCE; CLASSIFICATION RESULTS; COMPUTER ASSISTED; DYNAMIC FEATURES; ECG SIGNALS; FINAL DECISION; NEW APPROACHES; RR INTERVALS; TWO CLASSIFICATION;

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INDEPENDENT COMPONENT ANALYSIS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; CLASSIFICATION; ELECTROCARDIOGRAPHY; HEART ARRHYTHMIA; HEART RATE; HUMAN; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STATISTICS;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; DATA INTERPRETATION, STATISTICAL; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS AS TOPIC;

EID: 78650847852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627645     Document Type: Conference Paper

References (14)

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