A novel approach to predict sudden cardiac death (SCD) using nonlinear and time-frequency analyses from HRV signals

PLoS ONE

Volumn 9, Issue 2, 2014, Pages

  Ebrahimzadeh, Elias ^a   Pooyan, Mohammad ^a   Bijar, Ahmad ^a  

^a SHAHED UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FREQUENCY ANALYSIS; HEART RATE VARIABILITY; HUMAN; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; MALE; MEASUREMENT ACCURACY; NONLINEAR SYSTEM; PATIENT CODING; PATIENT IDENTIFICATION; PERCEPTRON; PREDICTION; RISK ASSESSMENT; SUDDEN CARDIAC DEATH; TIME FREQUENCY ANALYSIS; VERY ELDERLY; ADOLESCENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CASE CONTROL STUDY; DEATH, SUDDEN, CARDIAC; ELECTROCARDIOGRAPHY; HEART RATE; MIDDLE AGED; PHYSIOLOGY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; TIME; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; CASE-CONTROL STUDIES; DEATH, SUDDEN, CARDIAC; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; YOUNG ADULT;

EID: 84896869304     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0081896     Document Type: Article

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