Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats

Neural Computing and Applications

Volumn 24, Issue 2, 2014, Pages 317-326

  Mert, Ahmet ^a   Kiliç, Niyazi ^b   Akan, Aydin ^b  

^a PIRI REIS UNIVERSITY   (Turkey)

^b ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Arrhythmia classification; Bagged decision tree; Ensemble learning; Kappa coefficient

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DECISION TREES; DISEASES; ELECTROCARDIOGRAPHY; EXTRACTION; FEATURE EXTRACTION; LEARNING SYSTEMS; STATISTICAL METHODS;

ARRHYTHMIA CLASSIFICATION; BEAT CLASSIFICATION; ENSEMBLE LEARNING; KAPPA COEFFICIENT; LINEAR PREDICTIVE CODING; MORPHOLOGICAL FEATURES; PREDICTIVE PERFORMANCE; TIME DOMAIN FEATURE EXTRACTION;

TIME DOMAIN ANALYSIS;

EID: 84892841703     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1232-7     Document Type: Article

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