A novel real-time multilead ECG compression and de-noising method based on the wavelet transform

Author

Alesanco, A. ; Olmos, S. ; Istepanian, R. ; Garcia, J.

Author_Institution

Aragon Inst. of Eng. Res., Zaragoza Univ., Spain

fYear

2003

fDate

21-24 Sept. 2003

Firstpage

593

Lastpage

596

Abstract

A new de-noising and compression method for ECG signals has been developed based on the wavelet transform. It has been designed for mobile telecardiology scenarios, where reliability as well as spectral efficiency are essential. The signal is segmented into beats and a beat template is subtracted to them. Beat templates as well as residual signals are coded with a wavelet expansion. De-noising and compression are achieved by selecting a subset of wavelet coefficients. The number of coefficients depends on the noise level. A SNR improvement of about 5 dB was obtained. Compression performance has been tested using a subset of ECG records from MIT-BlH arrhythmia database. For example, a compression ratio of 35 with a PRD as low as 3.6% was achieved for record 119.

Keywords

electrocardiography; medical signal processing; signal denoising; telemedicine; wavelet transforms; ECG denoising method; MIT-BlH arrhythmia database; beat templates; mobile telecardiology; real-time multilead ECG compression method; signal segmentation; spectral efficiency; wavelet transform; Bandwidth; Communications technology; Databases; Electrocardiography; Image coding; Noise level; Noise measurement; Noise reduction; Telecommunication network reliability; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2003

ISSN

0276-6547

Print_ISBN

0-7803-8170-X

Type

conf

DOI

10.1109/CIC.2003.1291225

Filename

1291225