Comparing monitoring results of two motion trackers for geriatric patients
- Background:
Fitbit and Garmin motion tracker devices are highly used in research. The validity and reliability of these devices is proven for healthy adults between 18 and 64.
Objectives:
Comparing data output of two devices.
Methods:
Observational case study on a test track and in the domestic environment of a 80- year-old female multimorbide geriatric patient.
Results:
HighBackground:
Fitbit and Garmin motion tracker devices are highly used in research. The validity and reliability of these devices is proven for healthy adults between 18 and 64.
Objectives:
Comparing data output of two devices.
Methods:
Observational case study on a test track and in the domestic environment of a 80- year-old female multimorbide geriatric patient.
Results:
High significant correlation of the devices on the test track [r=.776, p≤.001, Bca-CI-95% (.618;.874), N=33], but significant different in the domestic environment over time (z=4.840, p≤.001).
Conclusion:
The dominant/non-dominant body side and further sources of error may play a role in monitoring steps with these devices.…
| Author: | Amelie AltenbuchnerORCiDGND, Vanessa Mücke, Sonja HaugOTHORCiDGND |
|---|---|
| DOI: | https://doi.org/10.3233/SHTI200078 |
| ISBN: | 978-1-64368-085-9 |
| Parent Title (English): | dHealth 2020: biomedical informatics for health and care, proceedings of the 14th Health Informatics Meets Digital Health Conference |
| Publisher: | IOS Press |
| Place of publication: | Amsterdam |
| Editor: | Günter Schreier |
| Document Type: | conference proceeding (article) |
| Language: | English |
| Year of first Publication: | 2020 |
| Release Date: | 2021/10/06 |
| Tag: | parallel test reliability concurrent validity; geriatric patients; health monitoring; motion tracker; physical activity; steps; wearables |
| First Page: | 77 |
| Last Page: | 84 |
| Andere Schriftenreihe: | Studies in Health Technology and Informatics ; 271: dHealth 2020 – Biomedical Informatics for Health and Care |
| Institutes: | Fakultät Sozial- und Gesundheitswissenschaften |
| Research Center of Health Sciences and Technology - RCHST | |
| Research Center for Artificial Intelligence - RCAI | |
| Institute / Institut für Sozialforschung und Technikfolgenabschätzung (IST) | |
| Fakultät Sozial- und Gesundheitswissenschaften / Labor Empirische Sozialforschung | |
| Begutachtungsstatus: | peer-reviewed |
| Open Access Publication channel: | Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium |
| research focus: | Digitale Transformation |
| Licence (German): |  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
| Frontdoor-URL: | https://opus4.kobv.de/opus4-oth-regensburg/1596 |
