Title :
T-Wave Detection in Electrocardiogram Signal Based on Independent Sub-Band Function
Author :
Nian-Qiang Li ; Zheng-Sheng Wang
Author_Institution :
Univ. of Jinan, Jinan
Abstract :
The T wave is the most labile wave in the electrocardiogram (ECG). The method (independent sub-band function) described in this paper deals with the problems of T- wave detection in an ECG. Determining the position of a T-wave is complicated due to the low amplitude, the ambiguous and changing form of the complexes. Independent sub-band function handles these complications therefore a method based on blind source separation (BSS) was developed. In this way we developed a detection method that is able to detect T-waves with a correct-detection ratio of 93% even with a serious amount of baseline drift and noise. The proposed algorithms perform better as compared with published results of other T-wave detectors tested on the same ECG data.
Keywords :
blind source separation; electrocardiography; independent component analysis; medical signal detection; medical signal processing; BSS; ECG; T-wave detection; baseline drift; blind source separation; electrocardiogram signal; independent component analysis; independent sub-band function; patient diagnosis; Adaptive filters; Blind source separation; Cardiology; Electrocardiography; Heart beat; Independent component analysis; Signal detection; Signal processing algorithms; Signal to noise ratio; Source separation;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073225