Robotics & Machine Learning Daily News2024,Issue(MAY.16) :11-12.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.16) :11-12.

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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Abstract

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.”

Key words

Chengdu/People’s Republic of China/Asi a/Age and Ageing Diseases and Conditions/Cyborgs/Emerging Technologies/Healt h and Medicine/Machine Learning/Muscular Atrophy/Musculoskeletal Diseases and Conditions/Nervous System Diseases and Conditions/Neurologic Manifestations/Neuromuscular Manifestations/Sarcopenia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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