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STEP-UP: Enabling low-cost IMU sensors to predict the type of dementia during everyday stair climbing

Holloway, C; Bhot, W; Yong, K; McCarthy, I; Suzuki, T; Carton, A; Yang, B; ... CHO, Y; + view all (2021) STEP-UP: Enabling low-cost IMU sensors to predict the type of dementia during everyday stair climbing. Frontiers in Computer Science 10.3389/fcomp.2021.804917. (In press). Green open access

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Abstract

Posterior Cortical Atrophy is a rare but significant form of dementia which affects peoples’ visual ability before their memory. This is often misdiagnosed as an eyesight rather than brain sight problem. This paper aims to address the frequent, initial misdiagnosis of this disease as a vision problem through the use of an intelligent, cost-effective, wearable system, alongside diagnosis of the more typical Alzheimer’s Disease. We propose low-level features constructed from the IMU data gathered from 35 participants, while they performed a stair climbing and descending task in a real-world simulated environment. We demonstrate that with these features the machine learning models predict dementia with 87.02% accuracy. Furthermore, we investigate how system parameters, such as number of sensors, affect the prediction accuracy. This lays the groundwork for a simple clinical test to enable detection of dementia which can be carried out in the wild.

Type: Article
Title: STEP-UP: Enabling low-cost IMU sensors to predict the type of dementia during everyday stair climbing
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fcomp.2021.804917
Publisher version: https://doi.org/10.3389/fcomp.2021.804917
Language: English
Additional information: © 2021 Holloway, Bhot, Yong, Mccarthy, Suzuki, Carton, Yang, Serougne, Boampong, Tyler, Crutch, Bianchi-Berthouze and Cho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Keywords: Health - clinical, wearable computers, Empirical study that tells us about people, lab study, Dementia
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10141022
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