Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition

@article{Chae2013PerformanceSO,
  title={Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition},
  author={Daniel H. Chae and Yibeltal F. Alem and Salman Durrani and Rodney A. Kennedy},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={1306-1309}
}
In this paper, we investigate the performance of compressive sampling (CS) for ECG compression in telecardiology, when the signal acquisition is noisy and unavoidable body movements lead to varying heartbeat rate and sparsity of the signal. We show analytically that CS recovery noise does not scale linearly with the input noise. Hence, it is not easy to reduce the adverse impact of noise in CS. Additionally, any variation in the heartbeat rate changes the sparsity and can adversely affect… CONTINUE READING
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