Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed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

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