By Topic

Electrocardiogram Compression Method Based on the Adaptive Wavelet Coefficients Quantization Combined to a Modified Two-Role Encoder

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
R. Benzid ; Dept. of Electron., Univ. of Batna ; F. Marir ; N. -E. Bouguechal

An effective method for electrocardiogram (ECG) compression is proposed. It is based on the pyramidal digital wavelet transform. The resulting wavelet coefficients are thresholded iteratively until a user-specified percentage root-mean-square difference is matched. In the next step, the nonzero coefficients of the thresholded vector are quantized adaptively by the linear quantizer of the lowest possible resolution. In the last step, the quantized wavelet coefficients vector is stored efficiently by a new proposed two-role encoder. The obtained results demonstrate clearly the method efficiency and the tradeoff rate-distortion is ensured successfully

Published in:

IEEE Signal Processing Letters  (Volume:14 ,  Issue: 6 )