Classification of motor variability phenotypes in walking in aging females and males using wearable sensors and machine learning

使用可穿戴传感器和机器学习对老年女性和男性行走的运动变异表型进行分类

• 批准号: 567757-2022
• 负责人: Bailey, ChristopherCA
• 金额: $ 3.28万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Postdoctoral Fellowships
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=757161
• 关键词: Classification; motor; variability; phenotypes; walking

motor variability, inertial measurement units, musculoskeletal modelling, smartwatch, biomechanics, aging, sex differences, machine learning, gait

运动变异性、惯性测量单元、肌肉骨骼建模、智能手表、生物力学、衰老、性别差异、机器学习、步态