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Wearable Devices for Physical Activity and Healthcare Monitoring in Elderly People: A Critical Review

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Specialty Geriatrics
Date 2021 Apr 30
PMID 33917104
Citations 29
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Abstract

The availability of wearable devices (WDs) to collect biometric information and their use during activities of daily living is significantly increasing in the general population. These small electronic devices, which record fitness and health-related outcomes, have been broadly utilized in industries such as medicine, healthcare, and fitness. Since they are simple to use and progressively cheaper, they have also been used for numerous research purposes. However, despite their increasing popularity, most of these WDs do not accurately measure the proclaimed outcomes. In fact, research is equivocal about whether they are valid and reliable methods to specifically evaluate physical activity and health-related outcomes in older adults, since they are mostly designed and produced considering younger subjects' physical and mental characteristics. Additionally, their constant evolution through continuous upgrades and redesigned versions, suggests the need for constant up-to-date reviews and research. Accordingly, this article aims to scrutinize the state-of-the-art scientific evidence about the usefulness of WDs, specifically on older adults, to monitor physical activity and health-related outcomes. This critical review not only aims to inform older consumers but also aid researchers in study design when selecting physical activity and healthcare monitoring devices for elderly people.

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References
1.
Veras L, Diniz-Sousa F, Boppre G, Devezas V, Santos-Sousa H, Preto J . Accelerometer-based prediction of skeletal mechanical loading during walking in normal weight to severely obese subjects. Osteoporos Int. 2020; 31(7):1239-1250. DOI: 10.1007/s00198-020-05295-2. View

2.
Dooley E, Golaszewski N, Bartholomew J . Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices. JMIR Mhealth Uhealth. 2017; 5(3):e34. PMC: 5374271. DOI: 10.2196/mhealth.7043. View

3.
Zhang Y, Weaver R, Armstrong B, Burkart S, Zhang S, Beets M . Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis. J Sports Sci. 2020; 38(17):2021-2034. DOI: 10.1080/02640414.2020.1767348. View

4.
Petrie J, Peters A, Bergenstal R, Holl R, Fleming G, Heinemann L . Improving the clinical value and utility of CGM systems: issues and recommendations : A joint statement of the European Association for the Study of Diabetes and the American Diabetes Association Diabetes Technology Working Group. Diabetologia. 2017; 60(12):2319-2328. DOI: 10.1007/s00125-017-4463-4. View

5.
Chow H, Yang C . Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults: Validation and Comparison Study. JMIR Mhealth Uhealth. 2020; 8(4):e14707. PMC: 7218601. DOI: 10.2196/14707. View