Wearables for independent living in older adults: Gait and falls

Godfrey, Alan (2017) Wearables for independent living in older adults: Gait and falls. Maturitas, 100. pp. 16-26. ISSN 0378-5122

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Official URL: https://doi.org/10.1016/j.maturitas.2017.03.317

Abstract

Solutions are needed to satisfy care demands of older adults to live independently. Wearable technology (wearables) is one approach that offers a viable means for ubiquitous, sustainable and scalable monitoring of the health of older adults in habitual free-living environments. Gait has been presented as a relevant (bio)marker in ageing and pathological studies, with objective assessment achievable by inertial-based wearables. Commercial wearables have struggled to provide accurate analytics and have been limited by non-clinically oriented gait outcomes. Moreover, some research-grade wearables also fail to provide transparent functionality due to limitations in proprietary software. Innovation within this field is often sporadic, with large heterogeneity of wearable types and algorithms for gait outcomes leading to a lack of pragmatic use. This review provides a summary of the recent literature on gait assessment through the use of wearables, focusing on the need for an algorithm fusion approach to measurement, culminating in the ability to better detect and classify falls. A brief presentation of wearables in one pathological group is presented, identifying appropriate work for researchers in other cohorts to utilise. Suggestions for how this domain needs to progress are also summarised.

Item Type: Article
Uncontrolled Keywords: Activity recognition, Gait, Falls, Inertial sensor, Wearable technology
Subjects: B900 Others in Subjects allied to Medicine
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 20 Apr 2018 13:32
Last Modified: 20 Apr 2018 14:30
URI: http://nrl.northumbria.ac.uk/id/eprint/34050

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