Validation of an accelerometer for measurement of activity in frail older people

Gait & Posture
Nethra Ganesh ChigateriJochen Klenk

Abstract

Specific gait parameters are associated with falls and injury. It is important to identify walking episodes in order to determine the associated gait parameters. Frail older people have a greater risk of falling due to increased probability of inactivity. Therefore, detection and analysis of their physical activities becomes significant. Furthermore, ascertainment of gait parameters and non-sedentary activities for frail older group is difficult in free living environments - an area which hasn't been explored much. Participants were 23 older people residing in independent-living retirement homes. Data was inertial sensor signals, attached to the L5 vertebral area using a belt, from scripted activities (a timed up and go, and sit to stand activities) and unscripted activities of daily living collected in a free-living environment. An algorithm designed to identify walking, standing/sitting and lying is applied to the uSense wearable accelerometer data which has been analysed by processing the raw data with a gait detection algorithm and the results were compared against annotated videos which served as the gold standard. Validity of gait assessment was based on the percentage of agreement between the analysed accelerometer data ...Continue Reading

Citations

Mar 4, 2020·Journal of Personalized Medicine·Ivan Miguel PiresSalome Oniani
Nov 9, 2019·European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity·Eleftheria GiannouliWiebren Zijlstra
Apr 29, 2021·Journal of Medical Internet Research·Andréa G Martins Gaspar, Luís Velez Lapão
Jul 10, 2021·Journal of Neuroengineering and Rehabilitation·Grainne VavasourDaniel Kelly
Aug 14, 2021·The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences·Christian WernerKlaus Hauer

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