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  • 标题:Performance Evaluation Of Different Adaptive Filters For ECG Signal Processing
  • 本地全文:下载
  • 作者:Sachin singh ; Dr K. L. Yadav
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2010
  • 卷号:2
  • 期号:5
  • 页码:1880-1883
  • 出版社:Engg Journals Publications
  • 摘要:One of the main problem in biomedical data processing like electrocardiography is the separation of the wanted signal from noises caused by power line interference, external electromagnetic fields and random body movements and respiration. Different types of digital filters are used to remove signal components from unwanted frequency ranges. It is difficult to apply filters with fixed coefficients to reduce Biomedical Signal noises, because human behavior is not exact known depending on the time. Adaptive filter technique is required to overcome this problem. In this paper two types of adaptive filters are considered to reduce the ECG signal noises like PLI and Base Line Interference. Results of simulations in MATLAB are presented.
  • 关键词:component; adaptive filter; adaptive algorithm; LMS RLS
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