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