Title :
ECG signal compression using wavelet foveation
Author :
Ciocoiu, Iulian B.
Author_Institution :
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 a lossless compression technique 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; ECG record; ECG signal compression; MIT-BIH records; coefficient quantization; discrete wavelet transform; lossless compression technique; signal denoising; signal reconstruction; wavelet foveation; Discrete wavelet transforms; Electrocardiography; Integral equations; Quantization; Signal analysis; Signal processing; Signal resolution; Smoothing methods; Spatial resolution; Wavelet analysis;
Conference_Titel :
Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4244-3785-6
Electronic_ISBN :
978-1-4244-3786-3
DOI :
10.1109/ISSCS.2009.5206212