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

Author

binti Ahmad, Ida Laila ; binti Mohamed, Masnani ; binti Ab Ghani, Norul Ain

Author_Institution

Dept. of Electron. Eng., Univ. Tun Hussein Onn Malaysia (UTHM), Batu Pahat, Malaysia

fYear

2012

fDate

17-19 Dec. 2012

Firstpage

689

Lastpage

693

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.

Keywords

Hilbert transforms; electrocardiography; medical signal detection; medical signal processing; signal classification; signal denoising; wavelet transforms; DER; ECG baseline wander; ECG muscle noise; ECG signals; Hillbert transform detector; MIT-BIH Arrhythmias Database testing; Pan-Tompkins algorithm; QRS complex detection; QRS peak detection; combined algorithms; contaminated ECG signal; detection error rate; electrocardiogram; medical signal processing concept demonstrator; unwanted noise reduction; wavelet preprocessing stage; ECG; Hillbert transform; Pan-Tompkins algorithm; QRS Complex; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on

Conference_Location

Langkawi

Print_ISBN

978-1-4673-1664-4

Type

conf

DOI

10.1109/IECBES.2012.6498034

Filename

6498034