RaviChandran, N.; Aw, K.; McDaid, A. Grasp Assessment for Neuroprostheses-Mediated Functions. Preprints2024, 2024011299. https://doi.org/10.20944/preprints202401.1299.v1
APA Style
RaviChandran, N., Aw, K., & McDaid, A. (2024). Grasp Assessment for Neuroprostheses-Mediated Functions. Preprints. https://doi.org/10.20944/preprints202401.1299.v1
Chicago/Turabian Style
RaviChandran, N., Kean Aw and Andrew McDaid. 2024 "Grasp Assessment for Neuroprostheses-Mediated Functions" Preprints. 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.