Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study.

Background: Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years, activity wristbands have become popular because they record continuous data in real time. Hence, comprehensive validation studies are needed to analyze the performance and reliability of these devices in the recording of sleep parameters.

Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home.

Lower quantity and poorer sleep quality are common in most older adults, especially for those who live in a nursing home. The use of wearable devices, which measure some parameters such as the sleep stages, could help to determine the influence of sleep quality in daily activity among nursing home residents. Therefore, this study aims to analyse the influence of sleep and its changes concerning the health status and daily activity of older people who lived in a nursing home, by monitoring the participants for a year with Xiaomi Mi Band 2.

Strategies and actions to enable meaningful family connections in nursing homes during the COVID-19: A Scoping Review.

Objectives: To better understand the impact of visitor restrictions on nursing home residents and their families as well as strategies and actions that were conducted in nursing homes during the COVID-19 pandemic.

Methods: A scoping review was carried out in October 2020. Several electronic databases were used: Cochrane Plus, Scopus, Web of Sciences and PubMed.

Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2.

Background: Presently the use of technological devices such as wearable devices has emerged. Physical activity monitoring with wearable sensors is an easy and non-intrusive approach to encourage preventive care for older adults. It may be useful to follow a continuous assessment of the risk of falling.

Stakeholder Perspectives to Support Graphical User Interface Design for Children with Autism Spectrum Disorder: A Qualitative Study.

The development of digital supports for people with autism has increased considerably in recent years. Technology designers and developers have interpreted the needs and learning styles of people with autism in different ways. As a result, there are generic, non-specific or heterogeneous guidelines for the design and development of technology for people with autism.

Study for the Design of a Protocol to Assess the Impact of Stress in the Quality of Life of Workers.

(1) Background: Work stress is one of the most relevant issues in public health. It has a significant impact on health, especially the development of mental disorders, causing occupational imbalance. There is a growing interest in the development of tools with a positive effect on workers.

Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands.

(1) : Sleep disorders are a common problem for public health since they are considered potential triggers and predictors of some mental and physical diseases. Evaluating the sleep quality of a person may be a first step to prevent further health issues that diminish their independence and quality of life. Polysomnography (PSG) is the "gold standard" for sleep studies, but this technique presents some drawbacks.

Occupational Therapy and the Use of Technology on Older Adult Fall Prevention: A Scoping Review.

: Falls are the second leading cause of accidental or non-intentional deaths worldwide and are the most common problem as people age. The primary purpose of addressing falls is to detect, prevent, treat, and reduce their incidence and consequences. Previous studies identified that multifactorial programs, an interprofessional team, and assistive technology are required to address falls in older adults effectively.

Mobile Self-Monitoring ECG Devices to Diagnose Arrhythmia that Coincide with Palpitations: A Scoping Review.

The use and deployment of mobile devices across society is phenomenal with an increasing number of individuals using mobile devices to track their everyday health. However, there is a paucity of academic material examining this recent trend. Specifically, little is known about the use and deployment of mobile heart monitoring devices for measuring palpitations and arrhythmia.