ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features

Expert Systems with Applications

Volumn 39, Issue 2, 2012, Pages 2047-2058

  Homaeinezhad, M R ^a   Atyabi, S A ^a,b   Tavakkoli, E ^a   Toosi, H N ^a   Ghaffari, A ^a,b   Ebrahimpour, R ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

Author keywords

Arrhythmia classification; Curve length method; Feature extraction; Fusion (hybrid) classification; K nearest neighbors; Multi layer perceptron; Supervised learning machine; Support vector machine

Indexed keywords

ARRHYTHMIA CLASSIFICATION; CURVE LENGTH METHOD; K-NEAREST NEIGHBORS; MULTI LAYER PERCEPTRON; SUPPORT VECTOR;

DISCRETE WAVELET TRANSFORMS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; LEARNING SYSTEMS;

FEATURE EXTRACTION;

EID: 80054958869     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.025     Document Type: Conference Paper

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