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

**Authors:** Johan Chagnon, Laura Rebollo-Neira

arXiv: 1908.03433 · 2019-08-12

## TL;DR

This paper introduces a novel 2D ECG compression method using a mixed transform approach combining Discrete Wavelet and Discrete Cosine Transforms, demonstrating significant performance improvements over existing methods.

## Contribution

The paper presents a new 2D ECG compression technique that applies a mixed transform strategy, improving compression efficiency over previous 1D and benchmark methods.

## Key findings

- Significant performance improvements over 1D ECG codecs.
- Effective compression demonstrated on MIT-BIH Arrhythmia database.
- Outperforms existing benchmarks for 2D ECG compression.

## 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. The performance of the method is demonstrated on the MIT-BIH Arrhythmia database. Significant improvements upon the 1D version of the codec, and on benchmarks for 2D ECG compression, are achieved.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1908.03433/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/1908.03433/full.md

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Source: https://tomesphere.com/paper/1908.03433