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Detection of multiple innervation zones from multi-channel surface EMG recordings with low signal-to-noise ratio using graph-cut segmentation

Author
Marateb, H.R.; Farahi, M.; Rojas, M.; Mañanas, M.A.; Farina, D.
Type of activity
Journal article
Journal
PloS one
Date of publication
2016-12-15
Volume
11
Number
12
DOI
https://doi.org/10.1371/journal.pone.0167954 Open in new window
URL
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0167954 Open in new window
Abstract
Knowledge of the location of muscle Innervation Zones (IZs) is important in many applications, e.g. for minimizing the quantity of injected botulinum toxin for the treatment of spasticity or for deciding on the type of episiotomy during child delivery. Surface EMG (sEMG) can be noninvasively recorded to assess physiological and morphological characteristics of contracting muscles. However, it is not often possible to record signals of high quality. Moreover, muscles could have multiple IZs, whic...
Group of research
BIOART - Biosignal Analysis for Rehabilitation and Therapy
CREB - Biomedical Engineering Research Centre

Participants

  • Marateb, Hamid Reza  (author)
  • Farahi, Morteza  (author)
  • Rojas Martínez, Mónica  (author)
  • Mañanas Villanueva, Miguel Angel  (author)
  • Farina, Dario  (author)