首页|Sichuan University Reports Findings in Muscular Atrophy (Exploration of a machin e learning approach for diagnosing sarcopenia among Chinese community-dwelling o lder adults using sEMG-based data)
Sichuan University Reports Findings in Muscular Atrophy (Exploration of a machin e learning approach for diagnosing sarcopenia among Chinese community-dwelling o lder adults using sEMG-based data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Musculoskeletal Diseas es and Conditions - Muscular Atrophy is the subject of a report. According to ne ws originating from Chengdu, People’s Republic of China, by NewsRx correspondent s, research stated, “In the practical application of sarcopenia screening, there is a need for faster, time-saving, and community-friendly detection methods. Th e primary purpose of this study was to perform sarcopenia screening in community -dwelling older adults and investigate whether surface electromyogram (sEMG) fro m hand grip could potentially be used to detect sarcopenia using machine learnin g (ML) methods with reasonable features extracted from sEMG signals.”
ChengduPeople’s Republic of ChinaAsi aAge and Ageing Diseases and ConditionsCyborgsEmerging TechnologiesHealt h and MedicineMachine LearningMuscular AtrophyMusculoskeletal Diseases and ConditionsNervous System Diseases and ConditionsNeurologic ManifestationsNeuromuscular ManifestationsSarcopenia
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