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Independent Component Analysis for Reducing Electrocardiographic Interference in the Multichannel Electromyogram

  • J. D. Costa Júnior
  • J. M. de Seixas
  • J. Nadal
  • A. M. F. L. Miranda de Sá
Conference paper
  • 155 Downloads
Part of the IFMBE Proceedings book series (IFMBE, volume 37)

Abstract

The aim of this work was to separate ECG artifacts from surface electromyogram (EMG) signals collected from erector spinae muscles with the blind source separation technique based on independent component analysis (ICA) and to investigate the separation at different interference levels. Using three EMG signals collected above erector spinal muscles from 5 subjects, the proposed method succeeds in separating the sources in both real and simulated signals. However, the ICA is not able to separate the signals when the signal-to-interference ratio is greater than 20 dB.

Keywords

Independent component analysis electromyography electrocardiography blind source separation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • J. D. Costa Júnior
    • 1
  • J. M. de Seixas
    • 2
  • J. Nadal
    • 1
  • A. M. F. L. Miranda de Sá
    • 1
  1. 1.Biomedical Engineering ProgramFederal University of Rio de JaneiroRio de JaneiroBrazil
  2. 2.Signal Processing LaboratoryFederal University of Rio de JaneiroRio de JaneiroBrazil

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