Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework

Knowledge-Based Systems

Volumn 45, Issue , 2013, Pages 76-82

  Martis, Roshan Joy ^a   Acharya, U Rajendra ^a,b   Lim, Choo Min ^a   Suri, Jasjit S ^c  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c Global Biomedical Technologies   (United States)

Author keywords

Discrete Cosine Transform (DCT); Electrocardiogram; Least Square Support Vector Machine (LS SVM); MIT BIH arrhythmia database; Neural network; Probabilistic Neural Network (PNN)

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION ACCURACY; DIMENSIONALITY REDUCTION; DISCRETE COSINE TRANSFORM COEFFICIENTS; DISCRETE COSINE TRANSFORM(DCT); LEAST SQUARE-SUPPORT VECTOR MACHINES; PATHOLOGICAL CONDITIONS; PROBABILISTIC NEURAL NETWORKS;

COMPUTER AIDED DIAGNOSIS; DEPOLARIZATION; DISCRETE COSINE TRANSFORMS; DISEASES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; TWO PHASE FLOW;

ELECTROCARDIOGRAPHY;

EID: 84876284846     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.02.007     Document Type: Article

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