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Biomedical Engineering Letters

, Volume 9, Issue 3, pp 407–411 | Cite as

Time–frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions

  • Ashish Kumar
  • Rama Komaragiri
  • Manjeet KumarEmail author
Original Article
  • 41 Downloads

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 (CR), maximum absolute error (EMA), quality score (Qs), root mean square error, compression time (CT) 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.

Keywords

Electrocardiogram Biorthogonal wavelet transform Wavelet filter bank Electrocardiogram compression 

Notes

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflicts of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Korean Society of Medical and Biological Engineering 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringBennett UniversityGreater NoidaIndia

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