Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals

2012 19th International Conference on Telecommunications, ICT 2012

Volumn , Issue , 2012, Pages

  Kallas, Maya ^a,b   Francis, Clovis ^a   Kanaan, Lara ^c   Merheb, Dalia ^c   Honeine, Paul ^b   Amoud, Hassan ^a  

^a LEBANESE UNIVERSITY   (Lebanon)

^b UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^c HOLY SPIRIT UNIVERSITY OF KASLIK USEK   (Lebanon)

Author keywords

ECG signals; kernel machines; Kernel Principal Component Analysis; Multi class classification; Support Vector Machines

Indexed keywords

AUTOMATIC DETECTION; CARDIO-VASCULAR DISEASE; CAUSES OF DEATH; CLASSIFICATION SCHEME; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; GAUSSIANS; KERNEL MACHINE; KERNEL PCA; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MULTI-CLASS CLASSIFICATION; MULTICLASS SVM; NONLINEAR STRUCTURE;

DIAGNOSIS; DISEASES; ELECTROCARDIOGRAPHY; EXPERIMENTS; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; INFORMATION TECHNOLOGY; PRINCIPAL COMPONENT ANALYSIS;

SUPPORT VECTOR MACHINES;

EID: 84864241225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTEL.2012.6221261     Document Type: Conference Paper

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