Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index

Applied Soft Computing Journal

Volumn 43, Issue , 2016, Pages 510-519

  Fujita, Hamido ^a   Acharya, U Rajendra ^b,c,d   Sudarshan, Vidya K ^b   Ghista, Dhanjoo N ^e   Sree, S Vinitha ^f   Eugene, Lim Wei Jie ^b   Koh, Joel E W ^b  

^a IWATE PREFECTURAL UNIVERSITY   (Japan)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c SINGAPORE UNIVERSITY OF SOCIAL SCIENCES   (Singapore)

^d UNIVERSITY OF MALAYA   (Malaysia)

^e University 2020 Foundation   (United States)

^f Cyrcadia Health   (United States)

Author keywords

ECG; Heart rate; Nonlinear methods; Sudden cardiac death; Ventricular fibrillation

Indexed keywords

DECISION TREES; DISCRETE WAVELET TRANSFORMS; ELECTROCARDIOGRAPHY; FORECASTING; HEART; INTENSIVE CARE UNITS; MATHEMATICAL TRANSFORMATIONS; NEAREST NEIGHBOR SEARCH; POPULATION STATISTICS; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

ELECTROCARDIOGRAM SIGNAL; HEART RATE VARIABILITY; HEART RATES; K NEAREST NEIGHBOR (KNN); NON-LINEAR METHODS; SUDDEN CARDIAC DEATHS; SUDDEN CARDIAC DEATHS (SCD); VENTRICULAR FIBRILLATION;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84961770623     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.02.049     Document Type: Article

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