Application of higher order statistics for atrial arrhythmia classification

Biomedical Signal Processing and Control

Volumn 8, Issue 6, 2013, Pages 888-900

  Martis, Roshan Joy ^a   Acharya, U Rajendra ^a,b   Prasad, Hari ^c   Chua, Chua Kuang ^a   Lim, Choo Min ^a   Suri, Jasjit S ^d,e  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d Global Biomedical Technologies Inc   (United States)

^e IDAHO STATE UNIVERSITY   (United States)

Author keywords

Atrial fibrillation; Atrial flutter; Classifier; Electrocardiogram; Higher order spectra; Independent component analysis

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; CLASSIFIERS; DECISION TREES; DIMENSIONALITY REDUCTION; DISEASES; ELECTROCARDIOGRAPHY; FLUTTER (AERODYNAMICS); FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; NEAREST NEIGHBOR SEARCH;

ATRIAL FIBRILLATION; ATRIAL FLUTTER; CLASSIFICATION AND REGRESSION TREE; HIGHER ORDER SPECTRUM; INDEPENDENT COMPONENT ANALYSIS(ICA); K-NEAREST NEIGHBOR CLASSIFIERS (KNN); NONGAUSSIAN SIGNALS; POSITIVE PREDICTIVE VALUES;

HIGHER ORDER STATISTICS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFIER; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; ELECTROCARDIOGRAM; HEART ATRIUM ARRHYTHMIA; HEART ATRIUM FIBRILLATION; HIGHER ORDER SPECTRA; HUMAN; INDEPENDENT COMPONENT ANALYSIS; K NEAREST NEIGHBOR; PREDICTIVE VALUE; PRIORITY JOURNAL; QRS COMPLEX; RANDOM FOREST; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

EID: 84884585701     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.08.008     Document Type: Article

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