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RehabMove 2018: Automatic recognition of gait patterns with machine learning
2019
Zenodo
PURPOSE: The purpose of this study was to automatically identify gait patterns of geriatric patients with and without cognitive impairment using non-linear machine learning. METHODS: Geriatric out-patients with (n=72, age: 80.8 ±5.98) and without cognitive impairment (n=115, age: 79.7 ±5.68) participated in the study. Cognition was assessed by the Mini Mental State Examination. Trunk accelerations were measured with a 3D accelerometer (DynaPort® MiniMod, McRoberts BV and iPod touch 4G, iOS 6,
doi:10.5281/zenodo.2607030
fatcat:vcawyyp45bgtpm73v4ymubehsq