Inertial wearables as pragmatic tools in dementia

Godfrey, Alan, Brodie, Matthew, van Schooten, Kim, Nouredanesh, Mina, Stuart, Samuel and Robinson, Louise (2019) Inertial wearables as pragmatic tools in dementia. Maturitas, 127. pp. 12-17. ISSN 0378-5122

Godfrey et al - Inertial wearables as pragmatic tools in dementia AAM.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (549kB) | Preview
Official URL:


Dementia is a critically important issue due to its wide impact on health services as well as its personal and societal costs. Limitations exist for current dementia protocols, and there are calls to introduce modern technology that facilitates the addition of digital biomarkers to routine clinical practice. Wearable technology (wearables) are nearly ubiquitous in everyday life, gathering discrete and continuous digital data on habitual activities, but their utility in modern medicine remains low. Due to advances in data analytics, wearables are now commonly discussed as pragmatic tools to aid the diagnosis and treatment of a range of neurological disorders. Inertial sensor-based wearables are one such technology; they offer a low-cost approach to quantify routine movements that are fundamental to normal activities of daily living, most notably postural control and gait. Here, we provide a narrative review of how wearables are providing useful postural control and gait data to facilitate the capture of digital markers to aid dementia research. We outline the history of wearables, from their humble beginnings to their current use beyond the clinic, and explore their integration into modern systems, as well as the ongoing standardisation and regulatory efforts to integrate their use in clinical trials.

Item Type: Article
Uncontrolled Keywords: big data; diagnostic; gait; inertial sensor; postural control
Subjects: B800 Medical Technology
B900 Others in Subjects allied to Medicine
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 03 Jun 2019 09:32
Last Modified: 31 Jul 2021 17:49

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics