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Instituto de Investigación Para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politècnica de València, Camino de Vera, S/N. 46022, València, Spain, Departamento de Teoría de la Señal, Telemática y Comunicaciones (TSTC), Universidad de Granada, C/ Periodista Daniel Saucedo Aranda, S/N, 18014, Granada, Spain

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1 Papers

Non-invasive Wireless Mobile System for COVID-19 Monitoring in Nursing Homes

Authors: Marta Botella-Campos ¹ , Sandra Viciano-Tudela ¹ , Sandra Sendra ² and Jaime Lloret ¹

Affiliations: ¹ Instituto de Investigación Para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politècnica de València, Camino de Vera, S/N. 46022, València, Spain , ² Instituto de Investigación Para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politècnica de València, Camino de Vera, S/N. 46022, València, Spain, Departamento de Teoría de la Señal, Telemática y Comunicaciones (TSTC), Universidad de Granada, C/ Periodista Daniel Saucedo Aranda, S/N, 18014, Granada, Spain

Digital Object Identifier: 10.5220/0010023700070016

Proceedings of ICETE 2020, ISBN: 978-989-758-446-6

Quick Abstract

The recent global pandemics are generating serious problems in the elderly population and those who suffer from previous ailments. When a person is infected, he / she is usually isolated from the rest of persons in his / her room to avoid transmitting the virus. In most cases, especially those who live in nursing homes, often remain in bed with difficulties in moving. So, their monitoring and control of evolution is sometimes difficult. To solve this problem, this paper presents a non-invasive wireless mobile system to monitor elderly people in nursing homes. The system is composed by an electronic device with several sensors to monitor vital signs such temperature, cough, blood pressure, heart rate, oxygen saturation and, difficulty breathing of patients and an Android application to manage the medical data. Additionally, the system uses a local server to store the data and provide it to the nurses and physicians. Both the application and the process of collecting data have been tested together to check the correct generation of alerts and patients’ labelling of degree of urgency.