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Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia

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posted on 14.11.2021, 14:53 authored by Navid KorhaniNavid Korhani, Babak Taati, Andrea Iaboni, Andrea Sabo, Sina Mehdizadeh, Alastair Flint, Avril Mansfield
Data consists of baseline clinical assessments of gait, mobility, and fall risk at the time of admission of 54 adults with dementia. Furthermore, it includes the participants' daily medication intake in three medication categories, and frequent assessments of gait performed via a computer vision-based ambient monitoring system.

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Email Address of Submitting Author

navid.korhani@mail.utoronto.ca

ORCID of Submitting Author

https://orcid.org/0000-0001-8181-4652

Submitting Author's Institution

University of Toronto

Submitting Author's Country

Canada