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Modelling and Simulation in Engineering
Volume 2012, Article ID 742786, 10 pages
http://dx.doi.org/10.1155/2012/742786
Research Article

An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding

Electrical and Electronics Engineering Department, Faculty of Engineering, Assiut University, 71515 Assiut, Egypt

Received 30 April 2012; Revised 14 September 2012; Accepted 1 October 2012

Academic Editor: Luis Carlos Rabelo

Copyright © 2012 Mohammed Abo-Zahhad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [16 citations]

The following is the list of published articles that have cited the current article.

  • Ranjeet Kumar, and Anil Kumar, “ECG signal compression algorithm based on joint-multiresolution analysis (J-MRA),” 2015 2nd International Conference on Electronics and Communication Systems (ICECS), pp. 618–624, . View at Publisher · View at Google Scholar
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  • Ranjeet Kumar, A. Kumar, and G. K. Singh, “Electrocardiogram Signal Compression Based on 2D-Transforms: A Research Overview,” Journal Of Medical Imaging And Health Informatics, vol. 6, no. 2, pp. 285–296, 2016. View at Publisher · View at Google Scholar
  • Saba Abdulbaqi Salman, Rasha Talal Hameed, Omar Abdulwahabe Mohamad, and Nicolae Ţǎpuş, “Efficient electrocardiogram data compression algorithm based on wavelet transform,” 2016 20th International Conference on System Theory, Control and Computing, ICSTCC 2016 - Joint Conference of SINTES 20, SACCS 16, SIMSIS 20 - Proceedings, pp. 710–714, 2016. View at Publisher · View at Google Scholar
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  • Andrea Němcová, Radovan Smíšek, Lucie Maršánová, Lukáš Smital, and Martin Vítek, “A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression,” BioMed Research International, vol. 2018, pp. 1–26, 2018. View at Publisher · View at Google Scholar
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