Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks

Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal outcomes. Due to constraints in medical care systems, technological solutions should be applied to diagnose, monitor, and alert about the disease’s progress for patients receiving care at home. Some sleep disturbances...

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Bibliographic Details
Main Authors: Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
COVID-19
sensors
connected healthcare
Online Access:https://www.mdpi.com/1424-8220/21/9/3030

Internet

https://www.mdpi.com/1424-8220/21/9/3030

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