Paleari Marco, Di Girolamo Michela, Celadon Nicoló, Favetto Alain, Ariano Paolo
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6086-9. doi: 10.1109/EMBC.2015.7319780.
Understanding the movement of the hand from sEMG signals acquired on the forearm is key in the development of future prosthetics of the upper limb. Despite the technical advancement on this technique, state of the art of sEMG still relies strongly on optimal electrode placement which is typically performed by a specialist by mean of a heuristic search. Involving a specialist has few major disadvantages including high costs and relatively long schedules. This work searches an optimal electrode configuration which could reduce or avoid the intervention of a specialist. More than 200 different possible electrode configurations were assessed by means of the average recognition rate over 11 different movements of the hand, wrist, and fingers. It is shown that using two rows of 8 equally spaced electrodes around the circumference of the forearm could be an optimal trade-off solution to accomplish the task of recognizing hand movement (ARR = 92%) without the need for a specialist or very complex hardware.
通过在前臂采集的表面肌电信号来理解手部运动，是未来上肢假肢发展的关键。尽管这项技术取得了技术进步，但表面肌电技术的现状仍然强烈依赖于最佳电极放置，而这通常由专家通过启发式搜索来完成。让专家参与有几个主要缺点，包括成本高和时间表相对较长。这项工作旨在寻找一种最佳电极配置，以减少或避免专家的干预。通过对手、手腕和手指的11种不同运动的平均识别率，评估了200多种不同的可能电极配置。结果表明，在前臂圆周周围使用两排8个等距电极可能是一种最佳的折衷解决方案，无需专家或非常复杂的硬件即可完成识别手部运动的任务（平均识别率=92%）。
