The Medical Internet of Things is the application of the Internet of Things to medicine and is used specifically for the remote monitoring of patients. The chapter provides an overview of digital tools and telemedicine platforms used in the field of respiratory medicine. Digital tools are divided into three categories based on their portability: home devices, hand-held devices and portable/wearable devices. Telemedicine platforms comprise one or multiple sensors, generally respiratory monitors, cardiac monitors, activity tracking solutions, and environmental monitors. Sensors can be equipped with cellular link technologies such as 4G, 5G or Wi-Fi, or need a gateway to collect data. Overall, these solutions enable remote monitoring of respiratory patients, providing valuable data for improved interventions, patient care and quality of life while reducing healthcare costs.

The Medical Internet of Things: applications in respiratory medicine

Angelucci A.;Aliverti A.
2023-01-01

Abstract

The Medical Internet of Things is the application of the Internet of Things to medicine and is used specifically for the remote monitoring of patients. The chapter provides an overview of digital tools and telemedicine platforms used in the field of respiratory medicine. Digital tools are divided into three categories based on their portability: home devices, hand-held devices and portable/wearable devices. Telemedicine platforms comprise one or multiple sensors, generally respiratory monitors, cardiac monitors, activity tracking solutions, and environmental monitors. Sensors can be equipped with cellular link technologies such as 4G, 5G or Wi-Fi, or need a gateway to collect data. Overall, these solutions enable remote monitoring of respiratory patients, providing valuable data for improved interventions, patient care and quality of life while reducing healthcare costs.
2023
Digital Respiratory Healthcare
9781849841726
9781849841726
9781849841733
9781849841733
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1262478
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