Title :
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
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;
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
DOI :
10.1109/ECCTD.2009.5275009
