Long-term upper-extremity prosthetic control using regenerative peripheral nerve interfaces and implanted EMG electrodes.

Autor:	Vu PP; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Section of Plastic Surgery, University of Michigan, Ann Arbor, MI 48109, United States of America., Vaskov AK; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Section of Plastic Surgery, University of Michigan, Ann Arbor, MI 48109, United States of America.; Robotics Institute, University of Michigan, Ann Arbor, MI 48109, United States of America., Lee C; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America., Jillala RR; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America., Wallace DM; Robotics Institute, University of Michigan, Ann Arbor, MI 48109, United States of America., Davis AJ; University of Michigan Hospital Orthotics & Prosthetics Center Ann Arbor, Ann Arbor, MI 48109, United States of America., Kung TA; Section of Plastic Surgery, University of Michigan, Ann Arbor, MI 48109, United States of America., Kemp SWP; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Section of Plastic Surgery, University of Michigan, Ann Arbor, MI 48109, United States of America., Gates DH; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Robotics Institute, University of Michigan, Ann Arbor, MI 48109, United States of America.; School of Kinesiology, University of Michigan, Ann Arbor, MI 48109, United States of America., Chestek CA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Robotics Institute, University of Michigan, Ann Arbor, MI 48109, United States of America.; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United States of America.; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, United States of America., Cederna PS; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.; Section of Plastic Surgery, University of Michigan, Ann Arbor, MI 48109, United States of America.
Jazyk:	angličtina
Zdroj:	Journal of neural engineering [J Neural Eng] 2023 Apr 25; Vol. 20 (2). Date of Electronic Publication: 2023 Apr 25.
DOI:	10.1088/1741-2552/accb0c
Abstrakt:	Objective. Extracting signals directly from the motor system poses challenges in obtaining both high amplitude and sustainable signals for upper-limb neuroprosthetic control. To translate neural interfaces into the clinical space, these interfaces must provide consistent signals and prosthetic performance. Approach. Previously, we have demonstrated that the Regenerative Peripheral Nerve Interface (RPNI) is a biologically stable, bioamplifier of efferent motor action potentials. Here, we assessed the signal reliability from electrodes surgically implanted in RPNIs and residual innervated muscles in humans for long-term prosthetic control. Main results. RPNI signal quality, measured as signal-to-noise ratio, remained greater than 15 for up to 276 and 1054 d in participant 1 (P1), and participant 2 (P2), respectively. Electromyography from both RPNIs and residual muscles was used to decode finger and grasp movements. Though signal amplitude varied between sessions, P2 maintained real-time prosthetic performance above 94% accuracy for 604 d without recalibration. Additionally, P2 completed a real-world multi-sequence coffee task with 99% accuracy for 611 d without recalibration. Significance. This study demonstrates the potential of RPNIs and implanted EMG electrodes as a long-term interface for enhanced prosthetic control. (Creative Commons Attribution license.)
Databáze:	MEDLINE
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