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Updated: Jan 29, 2026
11:16
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
Published on: July 22, 2014
16.7K
Magnetoencephalographic evaluation for the myoelectric hand prosthesis with tacit learning system
Katsuyuki Iwatsuki1, Minoru Hoshiyama2, Shintaro Oyama1
1Department of Hand Surgery, Nagoya University School of Medicine, Nagoya, Aichi, Japan.
Neurorehabilitation
|February 5, 2019
Summary
Tacit learning systems (TLSs) enhance brain plasticity by strengthening connections between motor and other cortical areas. This neuroplasticity promotes improved motor function during prosthesis use.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Rehabilitation Technology
Background:
- The impact of tacit learning systems (TLSs) on brain plasticity remains unexplored.
- A novel myoelectric hand prosthesis with an integrated TLS was developed to adapt forearm rotation to upper extremity movements.
Purpose of the Study:
- To investigate the effects of tacit learning on the central nervous system during prosthetic control exercises.
Main Methods:
- An experienced prosthetic user performed tasks with and without the TLS activated (baseline vs. experimental).
- Video recordings were analyzed during magnetoencephalography and electroencephalography to assess neural activity.
Main Results:
- Significant increases in coherence values indicated stronger neural connections between motor and other cortical areas.
- The TLS enhanced brain activity patterns associated with motor control.
Conclusions:
- Tacit learning, facilitated by integration and interoperability, appears to promote adaptive neuroplasticity.
- These findings suggest TLSs can positively influence motor function and brain adaptation in prosthesis users.
Keywords:
Tacit learningamputationartificial intelligencemagnetoencephalographyneuroplasticityprosthesisMore Related Videos
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