A pilot study of long-term monitoring of human movements in the home using accelerometry
Abstract
We assessed the feasibility of using a waist-mounted, wireless triaxial accelerometer (TA) to monitor human movements in an unsupervised home setting to detect changes in functional status. A pilot study was carried out with six healthy subjects aged 80–86 years. The subjects wore a TA unit every day for two to three months. Each morning they carried out a short routine of directed movements that included standing, sitting, lying and walking. Important movement variables were measured. During the rest of the day, subjects were monitored for falls, and variables such as metabolic energy expenditure were measured. All subjects remained healthy; there was no overall change in functional status and there were only slight fluctuations in health status. No longitudinal changes were detected in any of the variables measured during the directed routine. There was a moderate correlation between weekly self-reported health status and energy expenditure: subjects reported a lower health status for weeks in which they expended less energy. The TA system was found to be practical for long-term, unsupervised home monitoring. All subjects found the system simple to use and the TA unit unobtrusive and comfortable to wear. High compliance rates were achieved: the TA units were worn on 88% of the days in the study, for an average of 11.2 hours per day.
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Mathie et al showed the feasibility of using accelerometers to identify the performance of activities of daily living by older adults monitored in the home environment.
“Mathie et al [49] showed the feasibility of using accelerometers to identify the performance of ADL by older adults monitored in the home environment.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [49]
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A review of wearable sensors and systems with application in rehabilitation
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- Authors
- Mathie, M. J., Coster, A. C. F., Lovell, N. H., Celler, B. G., Lord, S. R., & Tiedemann, A.
- Affiliations
- UNSW Sydney (AU)
- Venue
- Journal of Telemedicine and Telecare
- Publisher
- SAGE Publications
- Published
- 2004-06-01
- Volume
- 10
- Issue
- 3
- Pages
- 144-151
- ISSN
- 1357-633X (ISSN-L)
- 1758-1109
- OpenAlex
- W2148251735
- Cited by
- 153
- References
- 17
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 6 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 9 · 2017: 6 · 2016: 5 · 2015: 7 · 2014: 14 · 2013: 11 · 2012: 9
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Telemedicine and Telecare (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- accelerometry, triaxial accelerometer, home monitoring, older adults, functional status, long-term monitoring, energy expenditure, fall detection, self-rated health, compliance, wearable sensors
- MeSH terms
- Acceleration, Activities of Daily Living, Aged, Aged, 80 and over, Feasibility Studies, Home Care Services, Humans, Movement, Pilot Projects, Telemetry, Monitoring, Ambulatory
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