Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data

Mustafa Musa Jaber; Thamer Alameri; Mohammed Hasan Ali; Adi Alsyouf; Mohammad Al-Bsheish; Badr K Aldhmadi; Sarah Yahya Ali; Sura Khalil Abd; Saif Mohammed Ali; Waleed Albaker; Mu'taman Jarrar

doi:10.3390/s22031205

Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data

Sensors (Basel). 2022 Feb 5;22(3):1205. doi: 10.3390/s22031205.

Authors

Mustafa Musa Jaber^{1

2}, Thamer Alameri³, Mohammed Hasan Ali^{4

5}, Adi Alsyouf⁶, Mohammad Al-Bsheish⁷, Badr K Aldhmadi⁸, Sarah Yahya Ali¹, Sura Khalil Abd^{1

9}, Saif Mohammed Ali¹, Waleed Albaker¹⁰, Mu'taman Jarrar^{11

12}

Affiliations

¹ Department of Computer Science, Dijlah University College, Baghdad 10022, Iraq.
² Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10022, Iraq.
³ Police Academy, Baghdad 10022, Iraq.
⁴ Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja'afar Al-Sadiq University, Nasiriyah 64001, Iraq.
⁵ College of Computer Science and Mathematics, University of Kufa, Najaf 540011, Iraq.
⁶ Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah 21991, Saudi Arabia.
⁷ Healthcare Administration Department, Batterjee Medical College, Jeddah 21442, Saudi Arabia.
⁸ Department of Health Management, College of Public Health and Health Informatics, University of Ha'il, Ha'il 81451, Saudi Arabia.
⁹ Department of Computer Science, Al-Turath University College, Baghdad 10021, Iraq.
¹⁰ Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia.
¹¹ Medical Education Department, King Fahd Hospital of the University, Al-Khobar 34445, Saudi Arabia.
¹² Vice Deanship for Quality and Development, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia.

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: COVID-19; IoT sensors; cloud computing; deep learning; healthcare data; wearable sensors.

MeSH terms

COVID-19*
Delivery of Health Care
Humans
Monitoring, Physiologic
SARS-CoV-2
Wearable Electronic Devices*