ArticleScientific reports2019
Effective high compression of ECG signals at low level distortion.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Simultaneous optimized orthogonal matching pursuit with application to ECG compression.PloS one · 2025Article
- Breaking Barriers in Emerging Biomedical Applications.Entropy (Basel, Switzerland) · 2022Review
- Biosignal Compression Toolbox for Digital Biomarker Discovery.Sensors (Basel, Switzerland) · 2021Article
- Construction of wavelet dictionaries for ECG modeling.MethodsX · 2021Article
- An Adaptive Median Filter Based on Sampling Rate for R-Peak Detection and Major-Arrhythmia Analysis.Sensors (Basel, Switzerland) · 2020Article
- Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT.Scientific reports · 2020Article
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1 author.
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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, 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.
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