Chagnon, Johan and Rebollo-Neira, Laura (2020). Mixed-transform based codec for 2D compression of ECG signals. Biomedical Signal Processing and Control, 62 ,
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 |
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Publication ISSN: | 1746-8108 |
Last Modified: | 04 Oct 2024 07:22 |
Date Deposited: | 02 Jul 2020 12:07 |
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 ( 0000-0002-7420-8977) |