Dupan Sigrid S G, Krasoulis Agamemnon, Nazarpour Kianoush
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3277-3280. doi: 10.1109/EMBC44109.2020.9175402.
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.
肌电假肢通常由表面肌电图控制。许多控制算法，包括基于用户学习的控制范式抽象控制，都受益于独立的控制信号。在皮肤表面进行测量会因串扰而降低信号独立性。为了增加独立信号的数量，肌内肌电图记录可能是肌电控制的一个可行替代方案。这项概念验证研究调查了通过肌内测量进行实时抽象肌电控制是否可行。六名参与者使用表面和肌内肌电图记录执行了一个4目标和一个12目标的抽象控制任务。结果表明，肌内肌电图适用于抽象控制，并且未来通过稳定处理后的肌内肌电信号的幅度可以提高性能。
