Classification of Ventricular arrhythmia using a support vector machine based on morphological features

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 5785-5788

  Lee, Seung Hwan ^a   Ko, Hyun Chul ^a   Yoon, Young Ro ^a  

^a Yonsei University Wonju   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN RADIAL BASIS FUNCTIONS; KERNEL FUNCTION; MORPHOLOGICAL FEATURES; MORPHOLOGICAL INFORMATION; NONLINEAR PATTERN; RR INTERVALS; SHAPE SIMILARITY; VENTRICULAR ARRHYTHMIAS;

DISEASES; ELECTROCARDIOGRAPHY; IMAGE RETRIEVAL; RADIAL BASIS FUNCTION NETWORKS;

SUPPORT VECTOR MACHINES;

EID: 84886499709     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610866     Document Type: Conference Paper

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