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Internet of Things based Wearable Smart Gadget for COVID-19 Patients Monitoring
7th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2022 ; : 130-134, 2022.
Article in English | Scopus | ID: covidwho-1874360
ABSTRACT
It is extremely difficult to monitor and manage infected patients during the COVID-19 pandemic. This IoT wearable monitoring gadget is developed to measure the indicators of COVID-19. Patients' GPS data is used to notify medical authorities of their infection status. A wearable sensor is affixed to the body and connected to an edge node in the IoT cloud where the data is processed and analyzed in order to monitor health. A temperature sensor, GPS, SpO2 sensor, IR sensor, and accelerometer make up the system. The Arduino UNO processor is used in this gadget. The patient's body temperature is obtained using the temperature sensor. The location of the infected patient is tracked using a GPS sensor. Human movement is detected using an accelerometer. The SpO2 sensor measures the blood oxygen saturation level. The heart rate is detected using a pulse sensor. Information about preventive measures, warnings, and actions is stored in a cloud database. COVID-19 symptom readings are measured using this approach for monitoring and analysis. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2022 Year: 2022 Document Type: Article