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An effective method for compression of ECG signals, which falls within thetransform lossy compression category, is proposed. The transformation isrealized by a fast wavelet transform. The effectiveness of the approach, inrelation to the simplicity and speed of its implementation, is a consequence ofthe efficient storage of the outputs of the algorithm which is realized incompressed Hierarchical Data Format. The compression performance is tested onthe MIT-BIH Arrhythmia database producing compression results which largelyimprove upon recently reported benchmarks on the same database. For adistortion corresponding to a percentage root-mean-square difference PRD of0.53, in mean value, the achieved average compression ratio is 23.17 withquality score of 43.93. For a mean value of PRD up to 1.71 the compressionratio increases up to 62.5. The compression of a 30 min record is realized inan average time of 0.14 s. The insignificant delay for the compression process,together with the high compression ratio achieved at low level distortion andthe negligible time for the signal recovery, uphold the suitability of thetechnique for supporting distant clinical health care.

Effective high compression of ECG signals at low level distortion