Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21432
Title: Wavelet based distortion measurement and enhancement of ECG signal
Authors: Md. Abdul, Awal
Mohiuddin, Ahmad, Prof. Dr. Engr.
Ismail, Daut, Prof. Dr.
Ernie, Che Mid
Mohd. Abdur, Rashid, Dr.
mohiuddin0ahmad@gmail.com
abdurrashid@unimap.edu.my
Keywords: Electrocardiogram (ECG)
Coiflet wavelet
Denoising
Scalogram difference factor
SNR improvement
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 373-378
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: This paper describes the research carried out to eliminate the noise found in ECG signal and cardiac rhythm using Coiflet wavelet since its scaling function is closely related to the shape of ECG and suited for denoising for many applications. Different adaptive and soft threshold functions are used to enhance the ECG signal. The output SNR shows an outstanding performance of 6.2 dB as compared with other methods. In addition to SNR improvement and different statistical tools, a new time-scale qualitative distortion measure named scalogram difference factor is also proposed.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179041
http://dspace.unimap.edu.my/123456789/21432
ISBN: 978-145771989-9
Appears in Collections:Conference Papers
Ismail Daut, Prof. Dr.

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