Development of a concept demonstrator for QRS complex detection using combined algorithms

Ahmad, Ida Laila and Mohamed, Masnani and Ab Ghani, Norul Ain (2012) Development of a concept demonstrator for QRS complex detection using combined algorithms. In: 2012 IEEE EMBS International Conference on Biomedical Engineering and Sciences, 17-19 December 2012, Langkawi, Kedah.

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Abstract

This paper describes a study on combined algorithms used for classification of QRS Complex in ECG signals. The proposed algorithm/detector uses Hillbert transform on a Wavelet base for the pre-processing stage. Both Hillbert transform and Wavelet base known to be superior in reducing unwanted noise resembles in ECG signal such as baseline wander and muscle noise. In addition, the Pan-Tompkins algorithm was employed as the QRS peak detection. A testing against MIT-BIH Arrhythmias Database results in a reliable detection error rate (DER) of 98.7%. It can be concluded that, the proposed method offers significant noise reduction in pre-processing stage and still produce a reliable results even with the contaminated ECG signal.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:component; ECG; QRS Complex; Hillbert transform; wavelet; pan-tompkins algorithm
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:Faculty of Electrical and Electronic Engineering > Department of Electronic Engineering
ID Code:6123
Deposited By:Normajihan Abd. Rahman
Deposited On:12 Feb 2015 14:31
Last Modified:12 Feb 2015 14:31

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