Author:
Bella Abdoullah,Latif Rachid,Saddik Amine,Guerrouj Fatima Zahra
Abstract
Recently, monitoring of physiological signs such as heart rate and respiratory rate is very important, especially when we are talking about pandemics like Covid-19. In this paper we present a state of the art on the different techniques used for heart rate and respiratory rate extraction. These techniques presented will be based on image processing, were traditional sensor-based techniques creating a lot of problem at the contact level between patient and doctor. For this reason, we focus on non-contact techniques to avoid these problems. Generally, the literature review shows that non-contact monitoring techniques are based on RGB, thermal and multispectral cameras, the choice between these different cameras depends on the application that will be used. For example, thermal cameras are dedicated to the prediction of respiratory rate and temperature, while RGB and multispectral cameras are used for heart rate.
Reference26 articles.
1. Analysing Recovery From Pandemics by Learning Theory: The Case of CoVid-19
2. Zhang J. et al., “Navigating the Pandemic Response Life Cycle: Molecular Diagnostics and Immunoassays in the Context of COVID-19 Management, ” in IEEE Reviews in Biomedical Engineering.
3. Chamola V., Hassija V., Gupta V. and Guizani M., “A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact, ” in IEEE Access, Vol. 8, pp. 90225-90265.
4. Ding X. et al., “Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic, ” in IEEE Reviews in Biomedical Engineering.
5. Analysing Recovery From Pandemics by Learning Theory: The Case of CoVid-19
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