DocumentCode :
3460900
Title :
Detection of characteristic points of ECG using quadratic spline wavelet transfrom
Author :
Niknazar, Mohammad ; Vahdat, Bijan Vosoughi ; Mousavi, Seyed Reza
Author_Institution :
Biomed. Signal & Image Process. Lab., Sharif Univ. of Technol., Tehran, Iran
fYear :
2009
fDate :
6-8 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a method for ECG characteristic points detection based on Wavelet Transform (WT). Wavelet transform leads to more accurate results in analyzing nonstationary signals such as ECG. The selected wavelet is quadratic spline wavelet. Using quadratic spline mother wavelet, a method for detection of QRS complex and T and P waves is presented and evaluated with the help of MIT-BIH Arrhythmia database. Experimental results show excellent performance of the proposed method.
Keywords :
electrocardiography; medical signal detection; splines (mathematics); wavelet transforms; ECG characteristic points detection; MIT-BIH arrhythmia database; P waves; QRS complex detection; T waves; nonstationary signals; quadratic spline wavelet transfrom; Band pass filters; Databases; Electrocardiography; Laboratories; Matched filters; Signal analysis; Signal processing; Signal resolution; Spline; Wavelet transforms; ECG; P wave; QRS Complex; Quadratic Spline Wavelet Transform; T wave;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
Conference_Location :
Medenine
Print_ISBN :
978-1-4244-4397-0
Electronic_ISBN :
978-1-4244-4398-7
Type :
conf
DOI :
10.1109/ICSCS.2009.5412588
Filename :
5412588
Link To Document :
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