Motion‐Robust Multichannel sEMG Array for High‐Fidelity Muscle Fatigue Monitoring

ABSTRACT Real‐time muscle fatigue monitoring during dynamic activities is critical for preventing injury and optimizing performance, yet remains hindered by motion‐induced signal artifacts in conventional wearable systems. Here, we present a motion‐robust, multichannel surface electromyography (sEMG) array that enables high‐fidelity neuromuscular signal acquisition and localized fatigue assessment during complex movements. The platform integrates a bacterial cellulose (BC)‐reinforced heterogeneous eutectogel (BHE) with a hollow‐patterned flexible printed circuit (FPC), wherein the BC network dissipates mechanical stress to preserve structural stability. This heterogeneous interface ensures seamless skin‐electrode contact and suppresses signal distortion under motion. The six‐channel FPC electrode configuration facilitates spatially resolved tracking of muscle synergy and fatigue progression. The system exhibits minimal resistance drift over 100 000 bending cycles and maintains impedance stability across a broad frequency range (1 to 10 5 Hz), achieving an average signal‐to‐noise ratio of 41 dB. In real‐world scenarios, the device captures sEMG variations across localized muscle regions with reduced motion artifacts, enabling differential fatigue analysis. Furthermore, the model achieved 83.1% accuracy across four fatigue states in an independent external cohort comprising 160 samples from 40 previously unseen participants. This work demonstrates a wearable platform for continuous muscle monitoring with potential applications in sports science and rehabilitation.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-09-18
DOI
https://doi.org/10.1002/adfm.78406
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Motion‐Robust Multichannel sEMG Array for High‐Fidelity Muscle Fatigue Monitoring

Jun Yang, Yuxing Bai, Hongnan Zhu, Zhouyang Hu et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Motion‐Robust Multichannel sEMG Array for High‐Fidelity Muscle Fatigue Monitoring

Jun Yang, Yuxing Bai, Hongnan Zhu, Zhouyang Hu, Q. X. Zhang, Caofeng Pan, Feng Xu, Liang Zheng, Sanwei Hao, Wenting Yu, Jiangrui Gao, Ning Zhang, Yicong Wang, Xianying Xu, Senyun Yang
article en

Abstract

ABSTRACT Real‐time muscle fatigue monitoring during dynamic activities is critical for preventing injury and optimizing performance, yet remains hindered by motion‐induced signal artifacts in conventional wearable systems. Here, we present a motion‐robust, multichannel surface electromyography (sEMG) array that enables high‐fidelity neuromuscular signal acquisition and localized fatigue assessment during complex movements. The platform integrates a bacterial cellulose (BC)‐reinforced heterogeneous eutectogel (BHE) with a hollow‐patterned flexible printed circuit (FPC), wherein the BC network dissipates mechanical stress to preserve structural stability. This heterogeneous interface ensures seamless skin‐electrode contact and suppresses signal distortion under motion. The six‐channel FPC electrode configuration facilitates spatially resolved tracking of muscle synergy and fatigue progression. The system exhibits minimal resistance drift over 100 000 bending cycles and maintains impedance stability across a broad frequency range (1 to 10 5 Hz), achieving an average signal‐to‐noise ratio of 41 dB. In real‐world scenarios, the device captures sEMG variations across localized muscle regions with reduced motion artifacts, enabling differential fatigue analysis. Furthermore, the model achieved 83.1% accuracy across four fatigue states in an independent external cohort comprising 160 samples from 40 previously unseen participants. This work demonstrates a wearable platform for continuous muscle monitoring with potential applications in sports science and rehabilitation.

Advanced Functional Materials
Beijing Forestry University (CN), China Institute of Atomic Energy (CN), Stomatology Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Openalex Percentile: Top 21%
Advanced Sensor and Energy Harvesting Materials
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