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Katelyn Lee, Runsheng Wang, Ava Chen

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|July 11, 2025

Summary

This summary is machine-generated.

This study introduces a new textile sleeve with electrodes to measure thumb muscle activity for wearable robotics. This non-obtrusive sensor offers a low-cost, lightweight alternative for hand rehabilitation in stroke survivors.

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Area of Science:

Biomedical Engineering
Rehabilitation Robotics
Wearable Technology

Background:

Wearable robotics can aid stroke survivors in hand function recovery.
Current surface electromyography (sEMG) systems often use extrinsic hand muscles, requiring forearm placement.
Rigid electrodes for intrinsic hand muscles can be bulky and hinder function.

Purpose of the Study:

To develop and evaluate a novel sensing sleeve for measuring intrinsic thumb muscle activity using textile electrodes.
To explore an accessible sEMG sensing method for intrinsic thumb muscles, overcoming limitations of traditional electrodes.
To assess the potential of textile sensors for non-obtrusive control in wearable hand robotics.

Main Methods:

Development of a novel sensing sleeve incorporating textile electrodes.
Evaluation of the sleeve's performance in detecting sEMG signals from intrinsic thumb muscles.
Testing during isolated and isometric thumb and finger muscle contractions.

Main Results:

The textile sleeve successfully measured sEMG activity from intrinsic thumb muscles.
The system demonstrated effectiveness in detecting thumb movements and muscle contractions.
Textile electrodes proved feasible for non-obtrusive sEMG sensing on the hand.

Conclusions:

Textile-based sensors represent a promising, low-cost, lightweight, and non-obtrusive solution for sEMG sensing in wearable robotics.
This technology has significant potential for improving hand function assistance and rehabilitation for stroke survivors.
The developed sensing sleeve offers a viable alternative to conventional sEMG sensors for intrinsic hand muscle activity.