Mixed-transform based codec for 2D compression of ECG signals

Abstract

A method for ECG compression, by imaging the record as a 2D array and implementing a transform lossy compression strategy, is advanced. The particularity of the proposed transformation consists in applying a Discrete Wavelet Transform along one of the dimensions and the Discrete Cosine Transform along the other dimension. This renders a transformed array which is characterized by being sparse. Using the MIT-BIH Arrhythmia database, it is demonstrated that the proposed Mixed Transform achieves, in mean value, an improvement in sparsity of up to 3 times with respect to the 2D Wavelet Transform. This feature is beneficial for compression. The resulting codec produces a mean value compression ratio of 39 for a quality corresponding to PRD= 0.6. This PRD is attained for every record in the database without previous filtering.

Publication DOI: https://doi.org/10.1016/j.bspc.2020.102067
Divisions: College of Engineering & Physical Sciences > Mathematics
Full Text Link: https://arxiv.o ... /abs/1908.03433
Related URLs: https://www.sci ... 2238?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2020-09-01
Published Online Date: 2020-07-17
Accepted Date: 2020-06-29
Authors: Chagnon, Johan
Rebollo-Neira, Laura (ORCID Profile 0000-0002-7420-8977)

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