ECG signal compression using wavelet foveation and SPIHT

Author

Ciocoiu, Iulian B.

Author_Institution

Fac. of Electron., Telecommun. & Inf. Technol., Tech. Univ. of Iasi, Iasi, Romania

fYear

2009

Firstpage

413

Lastpage

416

Abstract

Foveation enables the definition of a proper mask that will modulate the coefficients given by the discrete wavelet transform of an ECG record. The mask is spatially selective and provides maximum accuracy around specific regions of interest. Subsequent denoising and coefficient quantization is further combined with SPIHT method in order to provide high compression ratios at low reconstruction errors. Experimental results reported on a number of MIT-BIH records show improved performances over existing solutions.

Keywords

discrete wavelet transforms; electrocardiography; medical signal processing; signal denoising; signal reconstruction; ECG signal compression; MIT-BIH records; SPIHT method; discrete wavelet transform; electrocardiography; set partitioning-into-hierarchical trees; signal reconstruction error; Discrete wavelet transforms; Electrocardiography; Image coding; Information technology; Quantization; Signal analysis; Signal processing; Signal resolution; Smoothing methods; Spatial resolution; ECG; SPIHT; compression; foveation; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit Theory and Design, 2009. ECCTD 2009. European Conference on

Conference_Location

Antalya

Print_ISBN

978-1-4244-3896-9

Electronic_ISBN

978-1-4244-3896-9

Type

conf

DOI

10.1109/ECCTD.2009.5275009

Filename

5275009