Effective high compression of ECG signals at low level distortion

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    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 languageEnglish
    Article number4564
    JournalScientific Reports
    Issue number1
    Publication statusPublished - 14 Mar 2019

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