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Challenge: Ulnar nerve injury often leads to muscle atrophy and decreased hand function, requiring precise monitoring and effective rehabilitation strategies. Current grip strength measurement tools rely on rigid mechanical devices, which are inconvenient and require frequent calibration.
Method: Professor Li Xiuhan and Associate Professor Zhang Chugu from Beijing Jiaotong University, in collaboration with Academician Wang Zhonglin's team from the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, proposed a Muscle Atrophy Evaluation and Rehabilitation System (MUERS) featuring a highly sensitive rare-earth oxide-enhanced triboelectric sensor (RETS).
Innovation 1: Utilizing the unique electrochemical properties of rare-earth oxides, RETS demonstrates a linear electrical pressure response in the 8-80 kPa range with a maximum linear error of 1.5%. Integrated with a multi-channel STM32 signal collector, RETS can monitor the grip force of all five fingers in real time.
Innovation 2: By combining sensor output with SVM algorithm, the system achieves 98.61% accuracy in identifying finger grip force impairment and classifies the impairment into three levels with an average accuracy of 96.67%. MUERS evaluates rehabilitation progress through grip strength scoring and provides feedback to clinicians.
https://doi.org/10.1002/adma.202505613