Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.
Sensors (Basel)
; 22(3)2022 Feb 05.
Article
in English
| MEDLINE | ID: covidwho-1674772
ABSTRACT
Today, COVID-19-patient health monitoring and management are major public health challenges for technologies. This research monitored COVID-19 patients by using the Internet of Things. IoT-based collected real-time GPS helps alert the patient automatically to reduce risk factors. Wearable IoT devices are attached to the human body, interconnected with edge nodes, to investigate data for making health-condition decisions. This system uses the wearable IoT sensor, cloud, and web layers to explore the patient's health condition remotely. Every layer has specific functionality in the COVID-19 symptoms' monitoring process. The first layer collects the patient health information, which is transferred to the second layer that stores that data in the cloud. The network examines health data and alerts the patients, thus helping users take immediate actions. Finally, the web layer notifies family members to take appropriate steps. This optimized deep-learning model allows for the management and monitoring for further analysis.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Wearable Electronic Devices
/
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
S22031205
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