• DocumentCode
    465099
  • Title

    ECG Cancellation for Surface Electromyography Measurement Using Independent Component Analysis

  • Author

    Hu, Yong ; Mak, Joseph ; Liu, Hongtao ; Luk, Keith D K

  • Author_Institution
    Dept. of Orthopaedics & Traumatology, Hong Kong Univ.
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    3235
  • Lastpage
    3238
  • Abstract
    In clinical experiments, the surface electromyogram (sEMG) recorded from low back muscle exhibit a strong presence of electrocardiogram (ECG). This study applied independent component analysis (ICA) to effectively suppress the interference of ECG in sEMG recorded from low back muscle. In contrast to existing ICA denoise techniques, which totally remove the artifactual ICA components, high-pass filter was proposed to process the ECG-dominated ICA components to prevent possible loss of useful sEMG, and then, project all the non-artifactual ICA components (including the high-pass filtered ECG dominated ICA components) to get reconstructed sEMG (sEMG without ECG interference).
  • Keywords
    electrocardiography; electromyography; high-pass filters; independent component analysis; interference suppression; signal denoising; signal reconstruction; ECG cancellation; denoise techniques; high-pass filter; independent component analysis; interference suppression; surface electromyography measurement; Biosensors; Electrocardiography; Electroencephalography; Electromyography; Filters; Independent component analysis; Interference; Muscles; Random variables; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378161
  • Filename
    4253368