*Proceeding Paper* **Monitoring of Older Adults' Daily Activity and Sleep with Xiaomi Mi Band 2 †**

**María del Carmen Miranda-Duro 1,2,\*, Laura Nieto-Riveiro 1,2, Betania Groba 1,2 and Nereida Canosa 1,2**


**Abstract:** Nowadays, the use of wearable devices is still emerging. Monitoring with wearable sensors is an easy and non-intrusive approach to encourage preventive care for older adults. Wearable devices are becoming an assessment tool for evaluating physical activity and sleep, among other biomedical parameters. The objective of the present study is to explore the daily activity and sleep of older adults from three nursing homes, as measured by Xiaomi Mi Band 2. The results showed that people with a greater number of steps (representing daily activity) could be related to a lower probability of risk of falling, dependency on basic activities of daily living, and mobility problems. Regarding sleep, the results suggest that people at risk of falling tend to be awake longer at night. Independent people get more deep sleep, while people who identify problems in their usual activities have a lower total sleep time. Finally, people who identify pain or discomfort have less light sleep and sleep in total.

**Keywords:** wearable technology; remote monitoring; occupational therapy

**Citation:** Miranda-Duro, M.d.C.; Nieto-Riveiro, L.; Groba, B.; Canosa, N. Monitoring of Older Adults' Daily Activity and Sleep with Xiaomi Mi Band 2. *Eng. Proc.* **2021**, *7*, 50. https://doi.org/10.3390/engproc 2021007050

Academic Editor: Ella Li


Published: 26 October 2021

**Publisher's Note:** MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

**Copyright:** © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

### **1. Introduction**

The use of wearable technology has been developed in uncontrolled and free-living environments instead of clinical settings. Wearable devices can register physiological parameters, physical activity, sleep quality, gait structures, or plantar pressures and shear, among others. Additionally, the key advantage of wearable sensors is that there is no need for a professional who has to perform tests to obtain clinical data. In addition, monitoring people in a daily living environment and over continuous periods may become more feasible and ecological. The evidence shows that the main wearable devices used in older adults' populations were wristbands, activity monitors, or accelerometers. The main objectives of using these devices are: (1) to explore the relationship between sleep behavior and gait performance; (2) to validate the devices by step count; (3) to evaluate the feasibility and efficacy of the device; (4) to determine the validity of a device compared to Actigraph; or (5) to understand the use of wristbands by older adults by conducting qualitative or mixed studies. Accordingly, this study aims to analyze the utility of the Xiaomi Mi Band 2 to assess older adults' daily activity and sleep [1].
