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  • 标题:The ECG Signal Compression Using an Efficient Algorithm Based on the DWT
  • 本地全文:下载
  • 作者:Oussama El B’charri ; Rachid Latif ; Wissam Jenkal
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:3
  • DOI:10.14569/IJACSA.2016.070325
  • 出版社:Science and Information Society (SAI)
  • 摘要:The storage capacity of the ECG records presents an important issue in the medical practices. These data could contain hours of recording, which needs a large space for storage to save these records. The compression of the ECG signal is widely used to deal with this issue. The problem with this process is the possibility of losing some important features of the ECG signal. This loss could influence negatively the analyzing of the heart condition. In this paper, we shall propose an efficient method of the ECG signal compression using the discrete wavelet transform and the run length encoding. This method is based on the decomposition of the ECG signal, the thresholding stage and the encoding of the final data. This method is tested on some of the MIT-BIH arrhythmia signals from the international database Physionet. This method shows high performances comparing to other methods recently published.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; ECG compression; wavelet transform; lossy compression; hard thresholding
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