A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home

Frailty syndrome is an independent risk factor for serious health episodes, disability, hospitalization, falls, loss of mobility, and cardiovascular disease. Its high reversibility demands personalized interventions among which exercise programs are highly efficient to contribute to its delay. Infor...

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Published inInternational journal of environmental research and public health Vol. 18; no. 21; p. 11730
Main Authors Calvillo-Arbizu, Jorge, Naranjo-Hernández, David, Barbarov-Rostán, Gerardo, Talaminos-Barroso, Alejandro, Roa-Romero, Laura M., Reina-Tosina, Javier
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 08.11.2021
MDPI
Subjects
Aging
Algorithms
Cardiovascular diseases
Caregivers
Design
Disability
Distributed processing
Exercise
Falls
Frailty
Gamification
Geriatrics
Health risks
Information technology
Intervention
Older people
Patients
Remote monitoring
Remote sensors
Risk analysis
Risk factors
Semiconductors
Sensors
Smartwatches
Telemedicine
User needs
Wearable computers
Young adults
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Summary:Frailty syndrome is an independent risk factor for serious health episodes, disability, hospitalization, falls, loss of mobility, and cardiovascular disease. Its high reversibility demands personalized interventions among which exercise programs are highly efficient to contribute to its delay. Information technology-based solutions to support frailty have been recently approached, but most of them are focused on assessment and not on intervention. This paper describes a sensor-based mHealth platform integrated in a service-based architecture inside the FRAIL project towards the remote monitoring and intervention of pre-frail and frail patients at home. The aim of this platform is constituting an efficient and scalable system for reducing both the impact of aging and the advance of frailty syndrome. Among the results of this work are: (1) the development of elderly-focused sensors and platform; (2) a technical validation process of the sensor devices and the mHealth platform with young adults; and (3) an assessment of usability and acceptability of the devices with a set of pre-frail and frail patients. After the promising results obtained, future steps of this work involve performing a clinical validation in order to quantify the impact of the platform on health outcomes of frail patients.
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ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph182111730