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  • Rodrigues, CamilaAgencia Estatal Consejo Superior de Investigaciones Científicas,Spanish National Research Council (author)

Comparison of Intramuscular and Surface Electromyography Recordings towards the Control of Wearable Robots for Incomplete Spinal Cord Injury Rehabilitation

  • Article/chapterEnglish2020

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  • 2020

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  • LIBRIS-ID:oai:research.chalmers.se:ccf0a010-0d5a-43ed-8a70-06faf2c15f3a
  • https://doi.org/10.1109/BioRob49111.2020.9224361DOI
  • https://research.chalmers.se/publication/520294URI

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  • Language:English
  • Summary in:English

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  • Subject category:kon swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Spinal Cord Injury (SCI) affects thousands of people worldwide every year. SCI patients have disrupted muscle recruitment and are more predisposed to other complications. To recover or enhance lower limbs functions, conventional rehabilitation programs are typically used. More recently, conventional programs have been combined with robot-assisted training. Electromyography (EMG) activity is generally used to record the electrical activity of the muscles, which in turn can be used to control robotic assistive devices as orthoses, prostheses and exoskeletons. In this sense, surface EMG can be used as input to myoelectric control but presents some limitations such as myoelectric crosstalk, as well as the influence of motion artefacts, and electromagnetic noise. EMG can also be recorded using intramuscular detection systems, which allows the detection of electric potentials closer to the muscle fibres and the recording of EMG activity from deeper muscles. This paper evaluates the quality of intramuscular EMG recordings compared to surface EMG signals, as a preliminary step to control EMG-driven exoskeletons. Seven healthy subjects performed submaximal knee and ankle flexion/extension movements with and without the use of a lower limb exoskeleton. Intramuscular recordings presented early muscle activation detecting times, which is a very important feature in real-time control, and good signal-to-noise ratio values, showing the potential of these biosignals as reliable input measures to control exoskeletons for rehabilitation purposes.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Fernandéz, MarvinUniversidad CEU San Pablo,San Pablo CEU University (author)
  • Megia, Álvaro (author)
  • Comino, Natalia (author)
  • Del-Ama, AntónioUniversidad Rey Juan Carlos,Rey Juan Carlos University (author)
  • Gil-Agudo, Ángel (author)
  • Jung, Moon KiImperial College of Science, Technology and Medicine (author)
  • Muceli, Silvia,1981Chalmers tekniska högskola,Chalmers University of Technology,Imperial College of Science, Technology and Medicine(Swepub:cth)muceli (author)
  • Farina, DarioImperial College of Science, Technology and Medicine (author)
  • Moreno, JuanCSIC - Instituto Cajal (IC),Cajal Institute (author)
  • Pons, Jose L.Northwestern University,CSIC - Instituto Cajal (IC),Cajal Institute (author)
  • Barroso, Filipe O.CSIC - Instituto Cajal (IC),Cajal Institute (author)
  • Agencia Estatal Consejo Superior de Investigaciones CientíficasUniversidad CEU San Pablo (creator_code:org_t)

Related titles

  • In:Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics2020-November, s. 564-5692155-1774

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