Improved ECG signal compression quality using bat algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12881-5.pdf
Reference36 articles.
1. Abo-Zahhad M, Ahmed SM, Zakaria A (2012) An efficient technique for compressing ECG signals using QRS detection, estimation, and 2D DWT coefficients thresholding. Modelling and Simulation in Engineering, 2012
2. Ahmeda SM, Abo-Zahhad M (2001) A new hybrid algorithm for ECG signal compression based on the wavelet transformation of the linearly predicted error. Med Eng Phys 23:117–126
3. Alaa Maieed A, Anas Fouad A, Ahmed Haitham N (2020) Efficient and effective scheme for ECG compression, 2020 2nd annual international conference on information and sciences (AiCIS), 91-94, https://doi.org/10.1109/AiCIS51645.2020.00024
4. Alzaq HY, Ustundag BB (2018) An optimized two-level discrete wavelet implementation using residue number system. EURASIP J Adv Signal Process 2018:1–16
5. Benzid R, Marir F, Bouguechal N -E (2007) Electrocardiogram compression method based on the adaptive wavelet coefficients quantization combined to a modified two-role encoder. IEEE Signal Proc Lett 14:373–376
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