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EMG-driven control in lower limb prostheses: a topic-based systematic review.

Andrea CimolatoJosephus J M DriessenLeonardo S MattosElena De MomiMatteo LaffranchiLorenzo De Michieli
Published in: Journal of neuroengineering and rehabilitation (2022)
The obtained results show that the lack of quantitative and standardized measures hinders the possibility to analytically compare the performances of different EMG-driven controllers. In relation to this issue, the real efficacy of EMG-driven controllers for MLLPs have yet to be validated. Nevertheless, in anticipation of the development of a standardized approach for validating EMG MLLPs, the literature suggests that combining multiple neuro-controller types has the potential to develop a more seamless and reliable EMG-driven control. This solution has the promise to retain the high performance of the currently employed non-EMG-driven controllers for rhythmic activities such as walking, whilst improving the performance of volitional activities such as task switching or non-repetitive movements. Although EMG-driven controllers suffer from many drawbacks, such as high sensitivity to noise, recent progress in invasive neural interfaces for prosthetic control (bionics) will allow to build a more reliable connection between the user and the MLLPs. Therefore, advancements in powered MLLPs with integrated EMG-driven control have the potential to strongly reduce the effects of psychosomatic conditions and musculoskeletal degenerative pathologies that are currently affecting lower limb amputees.
Keyphrases
  • lower limb
  • high density
  • systematic review
  • upper limb
  • high resolution
  • randomized controlled trial
  • meta analyses
  • high frequency
  • artificial intelligence
  • risk assessment
  • machine learning
  • climate change