ECG signal compression using 2D wavelet foveation

Foveation principles suggested by natural vision systems enable the construction of a proper mask that may 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 are further combined with efficient coding techniques such as SPIHT 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

• Type: Conference
• Year: 2009
• Where: ICHIT
• Authors: Iulian B. Ciocoiu
• Keywords: Discrete Wavelet Transform, ICHIT 2009, Information Technology, Natural Vision Systems, Proper Mask