Evaluation and Rehabilitation System for Ulnar‐Innervated Muscles Facilitated by Rare Earth Oxide‐Enhanced Triboelectric Sensor

Ulnar nerve injuries often lead to muscle atrophy and reduced hand function, necessitating precise monitoring and effective rehabilitation strategies. Current grip strength measurement tools rely on rigid mechanical equipment, which is inconvenient and requires frequent calibration. To address this, a muscle atrophy evaluation and rehabilitation system (MUERS) is presented, featuring a highly sensitive rare earth oxide-enhanced triboelectric sensor (RETS). Utilizing the unique electrochemical properties of rare earth oxides, RETS demonstrates a linear voltage-force response in the range of 8-80 kPa, with a maximum linear error of 1.5%. Integrated with a multi-channel STM32 signal collector, RETS enables real-time grip strength monitoring across all five fingers. Combining sensor output with an SVM algorithm, the system achieves 98.61% accuracy in identifying finger grip strength injuries and classifies damage into three levels with an average accuracy of 96.67%. MUERS evaluates rehabilitation progress by scoring grip strength and providing feedback to clinicians. Over a four-week cycle, it consistently captures improvements in muscle recovery, aiding individualized rehabilitation plans. This system offers fine-grained assessment capabilities for diagnosing and monitoring nerve injury-induced muscle atrophy, paving the way for advanced biomedical sensing and personalized rehabilitation.

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Publication Details

Journal
Advanced Materials
Published
2025-06-18
DOI
https://doi.org/10.1002/adma.202505613
Citations
19
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
12.81

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article

Evaluation and Rehabilitation System for Ulnar‐Innervated Muscles Facilitated by Rare Earth Oxide‐Enhanced Triboelectric Sensor

Xiuhan Li, Yijun Hao, Wei Su, Xiangqian Lu et al.
19 citations
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
12.81
article

Evaluation and Rehabilitation System for Ulnar‐Innervated Muscles Facilitated by Rare Earth Oxide‐Enhanced Triboelectric Sensor

Xiuhan Li, Yijun Hao, Wei Su, Xiangqian Lu, Zhao Guo, Tianyu Jia, Chuguo Zhang, Dong Yang, Yong Qin, Hongke Zhang, Zhipeng Wang, Jiayi Yang, Keke Hong, Zhong Lin Wang
article en
19 citations

Abstract

Ulnar nerve injuries often lead to muscle atrophy and reduced hand function, necessitating precise monitoring and effective rehabilitation strategies. Current grip strength measurement tools rely on rigid mechanical equipment, which is inconvenient and requires frequent calibration. To address this, a muscle atrophy evaluation and rehabilitation system (MUERS) is presented, featuring a highly sensitive rare earth oxide-enhanced triboelectric sensor (RETS). Utilizing the unique electrochemical properties of rare earth oxides, RETS demonstrates a linear voltage-force response in the range of 8-80 kPa, with a maximum linear error of 1.5%. Integrated with a multi-channel STM32 signal collector, RETS enables real-time grip strength monitoring across all five fingers. Combining sensor output with an SVM algorithm, the system achieves 98.61% accuracy in identifying finger grip strength injuries and classifies damage into three levels with an average accuracy of 96.67%. MUERS evaluates rehabilitation progress by scoring grip strength and providing feedback to clinicians. Over a four-week cycle, it consistently captures improvements in muscle recovery, aiding individualized rehabilitation plans. This system offers fine-grained assessment capabilities for diagnosing and monitoring nerve injury-induced muscle atrophy, paving the way for advanced biomedical sensing and personalized rehabilitation.

Advanced MaterialsVol. 37(35)
Chinese Academy of Sciences (CN), Beijing Jiaotong University (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), Imperial College London (GB), Tsinghua University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, China Scholarship Council, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
12.81
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