DocumentCode :
3086800
Title :
Premature ventricular contraction arrhythmia detection using wavelet coefficients
Author :
Adnane, Messai ; Belouchrani, A.
Author_Institution :
Electr. Eng. Dept., Ecole Nat. Polytech., Algiers, Algeria
fYear :
2013
fDate :
12-15 May 2013
Firstpage :
170
Lastpage :
173
Abstract :
Premature ventricular contraction (PVC) detection is an important task in critical care medicine. However, making this task automatic is not that simple. In this paper, we are describing a method for PVC arrhythmia detection. This method is based on the use of wavelet detail coefficients to discriminate between normal beats and abnormal beats (PVCs). The proposed method was tested against selected records of the MIT-BIH Arrhythmia Database (MITDB). Results are very satisfactory and show that it is possible to detect PVC arrhythmia using wavelet detail coefficients applied to QRS complexes.
Keywords :
diseases; medical image processing; patient care; wavelet transforms; MIT-BIH arrhythmia database; MITDB; PVC arrhythmia detection; QRS complexes; abnormal beats; critical care medicine; normal beats; premature ventricular contraction arrhythmia detection; wavelet coefficients; Accuracy; Databases; Discrete wavelet transforms; Electrocardiography; Heart rate variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
Conference_Location :
Algiers
Type :
conf
DOI :
10.1109/WoSSPA.2013.6602356
Filename :
6602356
Link To Document :
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