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Myoelectric prostheses are commonly controlled by surface EMG. Many control algorithms, including the user learning-based control paradigm abstract control, benefit from independent control signals. Measuring at the surface of the skin reduces the signal independence through cross talk. To increase the number of independent signals, intramuscular EMG recordings might be a viable alternative for myoelectric control. This proof of concept study investigated if real time abstract myoelectric control is possible with intramuscular measurements. Six participants performed a 4-target and 12-target abstract control task with both surface and intramuscular EMG recordings. The results suggest that intramuscular EMG is suitable for abstract control, and that performance could be increased in the future by stabilizing the amplitude of the processed intramuscular EMG signal.
|Title of host publication||2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||4|
|Publication status||Published - 27 Aug 2020|
|Event||42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Montréal, Québec, Canada|
Duration: 20 Jul 2020 → 24 Jul 2020
Conference number: 42
|Conference||42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Abbreviated title||EMBC 2020|
|Period||20/07/20 → 24/07/20|
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1/02/18 → 31/01/23