On a compression algorithm for ECG signals

The paper presents a new algorithm for ECG signal com-
pression based on local extreme extraction, adaptive hyster-
etic filtering and LZW coding. Basically the method consists
in smoothing the ECG signal with a Savitzky-Golay filter,
extraction of the local minima and maxima, a hysteretic fil-
tering and LZW coding. The reconstruction of the ECG sig-
nal is done by cubic interpolation.
The algorithm is robust with respect to noise, has a rather
small computational complexity and provides good com-
pression ratios with excellent reconstruction quality.
The results of the algorithm compare favourably to other
algorithms like AZTEC, SAPA, TP, CORTES, SPHIT,
JPEG2000 and wavelet-based ECG compressions.