Background: Upper-limb weakness and tremor (4--12 Hz) limit activities of daily living (ADL) and reduce adherence to home rehabilitation. Objective: To assess technical feasibility and clinician-relevant signals of a sensor-fused wearable targeting the triceps brachii and extensor pollicis brevis. Methods: A lightweight node integrates surface EMG (1 kHz), IMU (100--200 Hz), and flex/force sensors with on-device INT8 inference (Tiny 1D-CNN/Transformer) and a safety-bounded assist policy (angle/torque/jerk limits; stall/time-out). Healthy adults (n = 12) performed three ADL-like tasks. Primary outcomes: Tremor Index (TI), range of motion (ROM), repetitions (Reps min−1). Secondary: EMG median-frequency slope (fatigue trend), closed-loop latency, session completion, and device-related adverse events. Analyses used subject-level paired medians with BCa 95\% CIs; exact Wilcoxon p-values are reported in the Results. Results: Assistance was associated with lower tremor prominence and improved task throughput: TI decreased by −0.092 (95\% CI [−0.102, −0.079]), ROM increased by +12.65% (95\% CI [+8.43, +13.89]), and Reps rose by +2.99 min−1 (95\% CI [+2.61, +3.35]). Median on-device latency was 8.7 ms at a 100 Hz loop rate; all sessions were completed with no device-related adverse events. Conclusions: Multimodal sensing with low-latency, safety-bounded assistance produced improved movement quality (TI ↓) and throughput (ROM, Reps ↑) in a pilot technical-feasibility setting, supporting progression to IRB-approved patient studies. Trial registration: Not applicable (pilot non-clinical).
@article{arxiv.2510.22913,
title = {Clinic-Oriented Feasibility of a Sensor-Fused Wearable for Upper-Limb Function},
author = {Thanyanee Srichaisak and Arissa Ieochai and Aueaphum Aueawattthanaphisut},
journal= {arXiv preprint arXiv:2510.22913},
year = {2025}
}