title: Continuous real-world gait monitoring in community-based older adults.
abstract: This paper describes the collection of real-world gait data in a cohort of 7 community living older adults, who have fallen at least once in the previous year, while they live in a smart apartment for four days. It describes the approach used to collect various gait metrics, from inertial sensors placed on the lower shanks, where gait bouts can be contextualised by smart home data. Results from this study are presented with a brief discussion into the smart-home based contextualisation of outliers in the gait data. Future work will investigate the normative ranges of various gait metrics, and how such real-world gait data may be integrated into clinical practice.
authors.forename: Lorcan
authors.initials: L
authors.lastname: Walsh
authors.forename: Julie
authors.initials: J
authors.lastname: Doyle
authors.forename: Erin
authors.initials: E
authors.lastname: Smith
authors.forename: Akihiro
authors.initials: A
authors.lastname: Inomata
authors.forename: Rodd
authors.initials: R
authors.lastname: Bond
mesh_terms: D000058:Accidental Falls; D000368:Aged; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D057187:Independent Living; D007866:Leg; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods*