Adapting myoelectric control in real-time using a virtual environment.
Published on Jan 16, 2019in Journal of Neuroengineering and Rehabilitation 3.87
· DOI :10.1186/s12984-019-0480-5
Background Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, adds complexity that can make using such a system difficult. Although experienced clinicians may be able to guide users to ensure successful data collection methods, they may not always be available when a user needs to (re)train their device.
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