Effective high compression of ECG signals at low level distortion

Laura E Rebollo-Neira

doi:10.1038/s41598-019-40350-x

Effective high compression of ECG signals at low level distortion

Research output: Contribution to journal › Article › peer-review

Abstract

An effective method for compression of ECG signals, which falls within the transform lossy compression category,
is proposed. The transformation is realized by a fast wavelet transform. The effectiveness of the approach, in
relation to the simplicity and speed of its implementation, is a consequence of the efficient storage of the outputs of
the algorithm which is realized in compressed Hierarchical Data Format. The compression performance is tested
on the MIT-BIH Arrhythmia database producing compression results which largely improve upon recently reported
benchmarks on the same database. For a distortion corresponding to a percentage root-mean-square difference
(PRD) of 0.53, in mean value, the achieved average compression ratio is 23.17 with quality score of 43.93. For a
mean value of PRD up to 1.71 the compression ratio increases up to 62.5. The compression of a 30 min record
is realized in an average time of 0.14 s. The insignificant delay for the compression process, together with the
high compression ratio achieved at low level distortion and the negligible time for the signal recovery, uphold the
suitability of the technique for supporting distant clinical health care.

Original language	English
Article number	4564
Journal	Scientific Reports
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41598-019-40350-x
Publication status	Published - 14 Mar 2019

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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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10.1038/s41598-019-40350-xLicence: CC BY 3.0

Effective high compression of ECG signals at low level distortion
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Final published version, 1.57 MBLicence: CC BY 3.0

https://arxiv.org/abs/1901.00235

Cite this

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abstract = "An effective method for compression of ECG signals, which falls within the transform lossy compression category,is proposed. The transformation is realized by a fast wavelet transform. The effectiveness of the approach, inrelation to the simplicity and speed of its implementation, is a consequence of the efficient storage of the outputs ofthe algorithm which is realized in compressed Hierarchical Data Format. The compression performance is testedon the MIT-BIH Arrhythmia database producing compression results which largely improve upon recently reportedbenchmarks on the same database. For a distortion corresponding to a percentage root-mean-square difference(PRD) of 0.53, in mean value, the achieved average compression ratio is 23.17 with quality score of 43.93. For amean value of PRD up to 1.71 the compression ratio increases up to 62.5. The compression of a 30 min recordis realized in an average time of 0.14 s. The insignificant delay for the compression process, together with thehigh compression ratio achieved at low level distortion and the negligible time for the signal recovery, uphold thesuitability of the technique for supporting distant clinical health care.",

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Effective high compression of ECG signals at low level distortion

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