Innovative IoT Solutions and Wearable Sensing Systems for Monitoring Human Biophysical Parameters: A Review

Digital and information technologies are heavily pervading several aspects of human activities, improving our life quality. Health systems are undergoing a real technological revolution, radically changing how medical services are provided, thanks to the wide employment of the Internet of Things (Io...

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Vydáno v:Electronics (Basel) Ročník 10; číslo 14; s. 1660
Hlavní autoři: De Fazio, Roberto, De Vittorio, Massimo, Visconti, Paolo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 12.07.2021
Témata:
Algorithms
Artificial intelligence
Blood pressure
Configuration management
Feedback
Glucose
Health care
Health services
Hemoglobin
Internet of Things
Machine learning
Parameters
Portable equipment
Real time
Sensors
Smartphones
Telemedicine
Wearable computers
Wearable technology
ISSN:2079-9292, 2079-9292
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Shrnutí:Digital and information technologies are heavily pervading several aspects of human activities, improving our life quality. Health systems are undergoing a real technological revolution, radically changing how medical services are provided, thanks to the wide employment of the Internet of Things (IoT) platforms supporting advanced monitoring services and intelligent inferring systems. This paper reports, at first, a comprehensive overview of innovative sensing systems for monitoring biophysical and psychophysical parameters, all suitable for integration with wearable or portable accessories. Wearable devices represent a headstone on which the IoT-based healthcare platforms are based, providing capillary and real-time monitoring of patient’s conditions. Besides, a survey of modern architectures and supported services by IoT platforms for health monitoring is presented, providing useful insights for developing future healthcare systems. All considered architectures employ wearable devices to gather patient parameters and share them with a cloud platform where they are processed to provide real-time feedback. The reported discussion highlights the structural differences between the discussed frameworks, from the point of view of network configuration, data management strategy, feedback modality, etc.
Bibliografie:ObjectType-Article-1
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ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10141660