Article
Version 1
Preserved in Portico This version is not peer-reviewed
Grasp Assessment for Neuroprostheses-Mediated Functions
Version 1
: Received: 17 January 2024 / Approved: 17 January 2024 / Online: 17 January 2024 (09:26:50 CET)
How to cite: RaviChandran, N.; Aw, K.; McDaid, A. Grasp Assessment for Neuroprostheses-Mediated Functions. Preprints 2024, 2024011299. https://doi.org/10.20944/preprints202401.1299.v1 RaviChandran, N.; Aw, K.; McDaid, A. Grasp Assessment for Neuroprostheses-Mediated Functions. Preprints 2024, 2024011299. https://doi.org/10.20944/preprints202401.1299.v1
Abstract
A system to evaluate several facets of hand function for neuroprostheses-mediated tasks is proposed. It includes a platform that serves as a test bench, sensors for dynamometry, electromyography, sensorized glove, and interactive objects. The system methodically locates and assesses the motor points along the forearm, evaluates stimulation-induced fatigue, measures digit motion and forces exerted during ADL grasps, and evaluates nerve excitability to advance electrode designs. While the system is exclusively designed for neuroprostheses-mediated grasp, it can also be extended to generic grasp and object manipulation-based research.
Keywords
Forearm; Sensor glove; Electromyography; Functional electrical stimulation; hand function
Subject
Engineering, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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