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Implementation of wavelet compression of the electrocardiogram in signal processor

Kowacki Ł., Augustyniak P.

Journal of Medical Informatics & Technologies

2007

Vol. 11

147--153

The paper presents the study of the algorithm of wavelet compressor dedicated to electrocardiographic signals and results of its implementation in the signal processor SHARC ADSP-21364. The designed compressor is characterized by a work in the real time and with possibility of the separate compression of the signal about the higher diagnostic worth determined as the QRS complex.

Reducing the spatial signal correlation for the compression of multilead electrocardiographic recordings

Augustyniak P.

Journal of Medical Informatics & Technologies

2001

Vol. 2, Part. 2

MT107--MT115

This paper is devoted to the transform-based method for decorrelation of simultaneously recorded ECG channels. The conventional 12-lead ECG recordings, due to the non-optimal lead positioning, contain highly redundant data. Eliminating this redundancy yields new possibilities for lossless coding of the ECG, meeting the most severe expectations about the quality of stored signal. The statistical properties featured by uncorrelated signals in the transform domain are more appropriate for the data distribution-based coding techniques. In our work four linear transforms are studied and numerically verified with use of the real ECG data. Additionally, the combination of spatial and temporal decorreation is proposed and discussed as the practical and lossless method for a real implementation. The compression efficiency significantly exceeds the values obtained with use of general-purpose lossless algorithms.