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10.1016/j.imu.2021.100588

http://scihub22266oqcxt.onion/10.1016/j.imu.2021.100588
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33997262!8106204!33997262
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suck abstract from ncbi


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pmid33997262      Inform+Med+Unlocked 2021 ; 24 (ä): 100588
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  • IoT based wearable device to monitor the signs of quarantined remote patients of COVID-19 #MMPMID33997262
  • Al Bassam N; Hussain SA; Al Qaraghuli A; Khan J; Sumesh EP; Lavanya V
  • Inform Med Unlocked 2021[]; 24 (ä): 100588 PMID33997262show ga
  • Monitoring and managing potential infected patients of COVID-19 is still a great challenge for the latest technologies. In this work, IoT based wearable monitoring device is designed to measure various vital signs related to COVID-19. Moreover, the system automatically alerts the concerned medical authorities about any violations of quarantine for potentially infected patients by monitoring their real time GPS data. The wearable sensor placed on the body is connected to edge node in IoT cloud where the data is processed and analyzed to define the state of health condition. The proposed system is implemented with three layered functionalities as wearable IoT sensor layer, cloud layer with Application Peripheral Interface (API) and Android web layer for mobile phones. Each layer has individual functionality, first the data is measured from IoT sensor layer to define the health symptoms. The next layer is used to store the information in the cloud database for preventive measures, alerts, and immediate actions. The Android mobile application layer is responsible for providing notifications and alerts for the potentially infected patient family respondents. The integrated system has both API and mobile application synchronized with each other for predicting and alarming the situation. The design serves as an essential platform that defines the measured readings of COVID-19 symptoms for monitoring, management, and analysis. Furthermore, the work disseminates how digital remote platform as wearable device can be used as a monitoring device to track the health and recovery of a COVID-19 patient.
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