ECG beat classification using a cost sensitive classifier

被引：61
作者：
Zidelmal, Z. [1 ]
Amirou, A. [1 ]
Ould-Abdeslam, D. [1 ]
Merckle, J. [1 ]
机构：
[1] Univ Mouloud Mammeri, Lab LAMPA, Tizi Ouzou, Algeria
来源：
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2013年 / 111卷 / 03期
关键词：
ECG beat classification; Support Vector Machines (SVMs); Classification cost;
D O I：
10.1016/j.cmpb.2013.05.011
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we introduce a new system for ECG beat classification using Support Vector Machines (SVMs) classifier with rejection. After ECG preprocessing, the QRS complexes are detected and segmented. A set of features including frequency information, RR intervals, QRS morphology and AC power of QRS detail coefficients is exploited to characterize each beat. An SVM follows to classify the feature vectors. Our decision rule uses dynamic reject thresholds following the cost of misclassifying a sample and the cost of rejecting a sample. Significant performance enhancement is observed when the proposed approach is tested with the MIT-BIH arrhythmia database. The achieved results are represented by the average accuracy of 97.2% with no rejection and 98.8% for the minimal classification cost. (c) 2013 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码：570 / 577
页数：8
相关论文
共 21 条
[1]  
American Hearth Association, 1987, REC PRACT TEST REP P
[2]  
[Anonymous], 2009, WAVELET TOUR SIGNAL
[3]  
[Anonymous], 2009, Advances in Neural Information Processing Systems
[4]   Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification [J].
Christov, Ivaylo ;
Gomez-Herrero, German ;
Krasteva, Vessela ;
Jekova, Irena ;
Gotchev, Atanas ;
Egiazarian, Karen .
MEDICAL ENGINEERING & PHYSICS, 2006, 28 (09) :876-887
[5]   A patient-adapting heartbeat classifier using ECG morphology and heartbeat interval features [J].
de Chazal, Philip ;
Reilly, Richard B. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (12) :2535-2543
[6]   A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals [J].
Ince, Turker ;
Kiranyaz, Serkan ;
Gabbouj, Moncef .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (05) :1415-1426
[7]  
Johnstone M.I., 1996, TECHNICAL REPORT
[8]   Classification of electrocardiogram signals with support vector machines and genetic algorithms using power spectral features [J].
Khazaee, A. ;
Ebrahimzadeh, A. .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2010, 5 (04) :252-263
[9]   QRS template matching for recognition of ventricular ectopic beats [J].
Krasteva, Vessela ;
Jekova, Irena .
ANNALS OF BIOMEDICAL ENGINEERING, 2007, 35 (12) :2065-2076
[10]   Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients [J].
Kutlu, Yakup ;
Kuntalp, Damla .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2012, 105 (03) :257-267
123