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An automatic pre-processing method to detect and reject signal artifacts from full-shift field-work sEMG recordings of bilateral trapezius activity

  • Published:2019-06 Issue: Volume:46 Page:49-54
  • ISSN:1050-6411
  • Container-title:Journal of Electromyography and Kinesiology
  • language:en
  • Short-container-title:Journal of Electromyography and Kinesiology

Author:

Østensvik Tove,Belbo Helmer,Veiersted Kaj Bo

Funder

Research Council of Norway

Publisher

Elsevier BV

Subject

Clinical Neurology,Biophysics,Neuroscience (miscellaneous)

Reference40 articles.

1. Methods to reduce the variability of EMG power spectrum estimates;Baratta;J. Electromyogr. Kinesiol.,1998

2. Bioelettronica, O. 2013. Manuale utente EMG-USB OT Bioelettronica (06/2013 ed., pp. 7/22).

3. Chan, A., Maclsaac, D., 2018. CLEANEMG: Assessing the quality of EMG signals. Paper Presented at the CMBES Proceedings Canada.

4. Sampling, noise-reduction and amplitude estimation issues in surface electromyography;Clancy;J. Electromyogr. Kinesiol.,2002

5. Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure;Conforto;J. Electromyogr. Kinesiol.,1999

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