Time–frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions
10.1007/s13534-019-00117-9
- Author:
Ashish KUMAR
1
;
Rama KOMARAGIRI
;
Manjeet KUMAR
Author Information
1. Department of Electronics and Communication Engineering, Bennett University, Greater Noida, U. P. 210310, India. manjeetchhillar@gmail.com
- Publication Type:Original Article
- Keywords:
Electrocardiogram;
Biorthogonal wavelet transform;
Wavelet filter bank;
Electrocardiogram compression
- MeSH:
Electrocardiography;
Joints;
Methods;
Signal-To-Noise Ratio
- From:
Biomedical Engineering Letters
2019;9(3):407-411
- CountryRepublic of Korea
- Language:English
-
Abstract:
A joint time–frequency localized three-band biorthogonal wavelet filter bank to compress Electrocardiogram signals is proposed in this work. Further, the use of adaptive thresholding and modified run-length encoding resulted in maximum data volume reduction while guaranteeing reconstructing quality. Using signal-to-noise ratio, compression ratio (C(R)), maximum absolute error (E(MA)), quality score (Q(s)), root mean square error, compression time (C(T)) and percentage root mean square difference the validity of the proposed approach is studied. The experimental results deduced that the performance of the proposed approach is better when compared to the two-band wavelet filter bank. The proposed compression method enables loss-less data transmission of medical signals to remote locations for therapeutic usage.
