Goal: The development of a control system for an electromyographic shoulder disarticulation (EMG-SD) prosthesis to rapidly achieve a task with a reduction in the operational failure of the user. Methods: The motion planning of an EMG-SD prosthesis was automated using measured visual information through a mixed reality device. The detection of an object to be grasped and motion execution depended on the EMG of the user, which gives voluntary controllability and makes the system semi-automated. Two evaluation experiments with reaching and reach-to-grasp movements were conducted to compare the performance of the conventional system when operated using only visual feedback control of the user. Results: The proposed system can more rapidly and accurately achieve reaching movements (32% faster) and more accurate (69%) reach-to-grasp movements than a conventional system. Conclusions: The proposed control system achieves a high task performance with a reduction in the operational failure of an EMG-SD prosthesis user.
Semi-automated control system for reaching movements in EMG shoulder disarticulation prosthesis based on mixed reality device https://www.embs.org/ojemb/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB) //www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png