Portable Take-Home System Enables Proportional Control and High-Resolution Data Logging With a Multi-Degree-of-Freedom Bionic Arm.

Autor:	Brinton MR; Biomedical Engineering, University of Utah, Salt Lake City, UT, United States., Barcikowski E; Ripple Neuro, Salt Lake City, UT, United States., Davis T; Neurosurgery, University of Utah, Salt Lake City, UT, United States., Paskett M; Biomedical Engineering, University of Utah, Salt Lake City, UT, United States., George JA; Biomedical Engineering, University of Utah, Salt Lake City, UT, United States., Clark GA; Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in robotics and AI [Front Robot AI] 2020 Sep 25; Vol. 7, pp. 559034. Date of Electronic Publication: 2020 Sep 25 (Print Publication: 2020).
DOI:	10.3389/frobt.2020.559034
Abstrakt:	This paper describes a portable, prosthetic control system and the first at-home use of a multi-degree-of-freedom, proportionally controlled bionic arm. The system uses a modified Kalman filter to provide 6 degree-of-freedom, real-time, proportional control. We describe (a) how the system trains motor control algorithms for use with an advanced bionic arm, and (b) the system's ability to record an unprecedented and comprehensive dataset of EMG, hand positions and force sensor values. Intact participants and a transradial amputee used the system to perform activities-of-daily-living, including bi-manual tasks, in the lab and at home. This technology enables at-home dexterous bionic arm use, and provides a high-temporal resolution description of daily use-essential information to determine clinical relevance and improve future research for advanced bionic arms. (Copyright © 2020 Brinton, Barcikowski, Davis, Paskett, George and Clark.)
Databáze:	MEDLINE
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