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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\u2010enhanced triboelectric sensor (RETS). Utilizing the unique electrochemical properties of rare earth oxides, RETS demonstrates a linear voltage\u2010force response in the range of 8\u201380 kPa, with a maximum linear error of 1.5%. Integrated with a multi\u2010channel STM32 signal collector, RETS enables real\u2010time 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\u2010week cycle, it consistently captures improvements in muscle recovery, aiding individualized rehabilitation plans. This system offers fine\u2010grained assessment capabilities for diagnosing and monitoring nerve injury\u2010induced muscle atrophy, paving the way for advanced biomedical sensing and personalized rehabilitation.<\/jats:p>","DOI":"10.1002\/adma.202505613","type":"journal-article","created":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:08:26Z","timestamp":1750216106000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Evaluation and Rehabilitation System for Ulnar\u2010Innervated Muscles Facilitated by Rare Earth Oxide\u2010Enhanced Triboelectric Sensor"],"prefix":"10.1002","volume":"37","author":[{"given":"Yijun","family":"Hao","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering Beijing Jiaotong University  Beijing 100044 P. R. 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