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Biomedical signal processing and control, 2021-08, Vol.69, p.102848-102848, Article 102848
Ort / Verlag
England: Elsevier Ltd
Erscheinungsjahr
2021
Quelle
Access via ScienceDirect (Elsevier)
Beschreibungen/Notizen
[Display omitted]
•Use of several sensors for a comprehensive user monitorization in real time.•User experience and usability analysis to find with the goodness and system limitations.•Analysis of power consumption and best implementation for long lasting use.•The system has a high performance in terms of sensing precision and fall detection effectiveness.
The elderly is a continuous growth sector thanks to the life expectancy increase in Western society. This sector is especially at risk from the appearance of respiratory diseases and, therefore, is the most affected sector in the COVID-19 epidemic. Many of these elderly require continuous care in residences or by specialized caregivers, but these personal contacts put this sector at risk. In this work, an IoT system for elderly remote monitoring is studied, designed, developed and tested. This system is composed by a smart garment that records information from various physiological sensors in order to detect falls, sudden changes in body temperature, heart problems and heat stroke; This information is sent to a cloud server through a gateway located in the patient’s residence, allowing to real-time monitor remotely patient’s activity using a customized App, as well as receiving alerts in dangerous situations. This system has been tested with professional caregivers, obtaining usability and functionality surveys; and, in addition, a detailed power-consumption study has been carried out. The results, compared with other similar systems, demonstrate that the proposed one is useful, usable, works in real time and has a decent power consumption that allows the patient to carry it during all day without charging the battery.