@inproceedings{6d728183cd9b4303b6e647d9f2cc928f,
title = "The effects of limb position and external load on offline myoelectric pattern recognition control",
abstract = "Limb position and load are factors that negatively affect myoelectric pattern recognition. While these effects have been studied separately, it remains unclear how limb position affects pattern recognition when limb load changes, and vice versa. Understanding this relationship will aid the development of algorithms and training protocols that allow prosthesis users to reliably grab and manipulate objects in various limb positions. We evaluated the effects of limb position and external load on offline pattern recognition accuracy in fourteen intact limb subjects and five below-elbow amputee subjects. Three clinically viable training methods were used to determine if training protocols can mitigate the negative effects of limb position and load. We found that limb position and load effects are independent in intact limb subjects, but are dependent in amputee subjects based on how the controller is trained. Although the advanced training protocols did not eliminate the limb position and load effects in most cases, they were able to reduce the effects and improve performance without increasing training time. ",
keywords = "limb position, load, myoelectric control, pattern recognition, prosthesis",
author = "Yuni Teh and Hargrove, {Levi J.}",
note = "Funding Information: This work was supported by the National Institutes of Health NIH R01HD094861. Publisher Copyright: {\textcopyright} 2020 IEEE.; 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 ; Conference date: 29-11-2020 Through 01-12-2020",
year = "2020",
month = nov,
doi = "10.1109/BioRob49111.2020.9224333",
language = "English (US)",
series = "Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics",
publisher = "IEEE Computer Society",
pages = "654--659",
booktitle = "2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020",
address = "United States",
}