Application of principal component analysis to ECG signals for automated diagnosis of cardiac health

Expert Systems with Applications

Volumn 39, Issue 14, 2012, Pages 11792-11800

  Martis, Roshan Joy ^a   Acharya, U Rajendra ^b   Mandana, K M ^c   Ray, A K ^a   Chakraborty, Chandan ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c AMRI HOSPITALS   (India)

Author keywords

Discrete Wavelet Transform (DWT); Electrocardiogram; Least Square Support Vector Machine (LS SVM); MIT BIH arrhythmia database; Neural network (NN)

Indexed keywords

ATRIAL PREMATURE CONTRACTION; AUTOMATED DIAGNOSIS; AVERAGE SENSITIVITIES; CARDIAC HEALTH; CLASSIFICATION ACCURACY; COMPUTER ASSISTED DIAGNOSIS; ECG SIGNALS; ELECTRICAL ACTIVITY OF THE HEART; ERROR SIGNAL; LINEAR PREDICTION MODELS; NAKED-EYE; PRINCIPAL COMPONENTS; SCREENING PROGRAMS; T WAVES; VECTOR MACHINES; VENTRICULAR PREMATURE CONTRACTIONS;

DISCRETE WAVELET TRANSFORMS; DISEASES; MATHEMATICAL MODELS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

ELECTROCARDIOGRAPHY;

EID: 84861813983     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.04.072     Document Type: Article

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