Block sparse multi‐lead ECG compression exploiting between‐lead collaboration
Author:
Affiliation:
1. Centre for Neuroscience StudiesQueen's UniversityKingstonONCanada
2. Department of Biomedical EngineeringUniversity of TabrizTabrizIran
3. Department of Electrical and Computer EngineeringRyerson UniversityTorontoONCanada
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2018.5076
Reference34 articles.
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3. Scan along polygon approximation for data compression of electrocardiograms;Ishijima M.;IEEE Trans. Biomed. Eng.,1983
4. A novel compression algorithm for electrocardiogram signal based on the linear prediction of the wavelet coefficients;Al‐Sharrouf A.;Digit. Signal Process.,2003
5. A dynamic Fourier series for the compression of ECG using FFT and adaptive coefficient estimation;Al‐Nashash H.A.M.;Med. Eng. Phys.,1994
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