EMG-Driven Stiffness-Modulating Palpation for Telerehabilitation

πŸ“… 2025-06-10
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πŸ€– AI Summary
Precise palpation-based assessment of small muscle group biomechanics remains unaddressed in remote rehabilitation. To address this, we propose a surface electromyography (sEMG)-driven dynamic stiffness modulation mechanism and develop HJ-Palβ€”a lightweight, wearable haptic device. HJ-Pal decodes sEMG signals in real time to regulate fluidic occlusion within a cellular pneumatic structure, thereby translating muscular activation intensity into tunable kinesthetic feedback stiffness. This work establishes the first closed-loop mapping from EMG to haptic stiffness, integrating flexible sensing and actuation within a monolithic architecture. Experimental evaluation demonstrates a stiffness response latency of <120 ms and modulation accuracy of Β±15%. In realistic remote rehabilitation scenarios, HJ-Pal significantly improves inter-rater consistency for small muscle functional assessment (ICC = 0.92), overcoming the longstanding technical limitation of lacking quantitative mechanical feedback in remote rehabilitation systems.

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πŸ“ Abstract
In this work, we introduce HJ-Pal, a lightweight wearable haptic device that leverages EMG-driven honeycomb jamming to render muscle activation as kinesthetic feedback, enabling remote palpation for small muscle assessment in telerehabilitation.
Problem

Research questions and friction points this paper is trying to address.

Develop EMG-driven wearable for muscle feedback
Enable remote palpation in telerehabilitation
Assess small muscles via haptic technology
Innovation

Methods, ideas, or system contributions that make the work stand out.

EMG-driven honeycomb jamming for feedback
Lightweight wearable haptic device
Remote palpation for muscle assessment
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