On a compression algorithm for ECG signals

Author

Negoita, Monica ; Goras, Liviu

Author_Institution

Fac. of Electron. & Telecommun., `Gh. Asachi´ Tech. Univ., Iasi, Romania

fYear

2005

fDate

4-8 Sept. 2005

Firstpage

1

Lastpage

4

Abstract

The paper presents a new algorithm for ECG signal compression based on local extreme extraction, adaptive hysteretic 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 filtering and LZW coding. The reconstruction of the ECG signal is done by cubic interpolation. The algorithm is robust with respect to noise, has a rather small computational complexity and provides good compression 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.

Keywords

adaptive filters; electrocardiography; encoding; interpolation; medical signal processing; signal reconstruction; AZTEC algorithms; CORTES algorithms; ECG signal compression; ECG signal reconstruction; ECG signal smoothing; JPEG2000 algorithms; LZW coding; SAPA algorithms; SPHIT algorithms; Savitzky-Golay filter; TP algorithms; adaptive hysteretic filtering; computational complexity; cubic interpolation; wavelet-based ECG compressions; Compression algorithms; Electrocardiography; Encoding; Finite impulse response filters; Noise; Skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2005 13th European

Conference_Location

Antalya

Print_ISBN

978-160-4238-21-1

Type

conf

Filename

7078060