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

Johan Chagnon, Laura Rebollo-Neira

Research output: Contribution to journalArticle

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.
Original languageEnglish
Article number102067
JournalBiomedical Signal Processing and Control
Volume62
Early online date17 Jul 2020
DOIs
Publication statusPublished - 1 Sep 2020

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