journal article·2025-09

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

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

Advanced Materials· Volume 37· Issue 35
Publisher page

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronic and Information Engineering Beijing Jiaotong University Beijing 100044 P. R. China

Department of Bioengineering Imperial College London London SW7 2AZ UK

Department of Mechanical Engineering Tsinghua University Beijing 100084 P. R. China

State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 P. R. China

Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 P. R. China

Funding

Natural Science Foundation of Beijing Municipality · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · China Postdoctoral Science Foundation · China Scholarship Council

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