首页    期刊浏览 2025年06月19日 星期四
登录注册

文章基本信息

  • 标题:Noise Removal from Surface Respiratory EMG Signal
  • 作者:Slim Yacoub, Kosai Raoof
  • 期刊名称:International Journal of Computer, Information, and Systems Science, and Engineering
  • 印刷版ISSN:1307-2331
  • 出版年度:2008
  • 卷号:02
  • 期号:04
  • 页码:226-226
  • 出版社:World Academy of Science, Engineering and Technology
  • 摘要:The aim of this study was to remove the two principal noises which disturb the surface electromyography signal (Diaphragm). These signals are the electrocardiogram ECG artefact and the power line interference artefact. The algorithm proposed focuses on a new Lean Mean Square (LMS) Widrow adaptive structure. These structures require a reference signal that is correlated with the noise contaminating the signal. The noise references are then extracted : first with a noise reference mathematically constructed using two different cosine functions; 50Hz (the fundamental) function and 150Hz (the first harmonic) function for the power line interference and second with a matching pursuit technique combined to an LMS structure for the ECG artefact estimation. The two removal procedures are attained without the use of supplementary electrodes. These techniques of filtering are validated on real records of surface diaphragm electromyography signal. The performance of the proposed methods was compared with already conducted research results.
  • 关键词:Surface EMG, Adaptive, Matching Pursuit, Power line interference.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有