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

Sensors

Mohammed Hasan Ali¹  Sarah Yahya Ali²  Mustafa Musa Jaber²  Sura Khalil Abd²  Saif Mohammed Ali²  Badr K. Aldhmadi³  Waleed Albaker⁴  Adi Alsyouf⁵  Mohammad Al-Bsheish⁶  Mu’taman Jarrar⁷  Thamer Alameri⁸ 

[1] Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Nasiriyah 64001, Iraq;Department of Computer Science, Dijlah University College, Baghdad 10022, Iraq;Department of Health Management, College of Public Health and Health Informatics, University of Ha’il, Ha’il 81451, Saudi Arabia;Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia;Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah 21991, Saudi Arabia;Healthcare Administration Department, Batterjee Medical College, Jeddah 21442, Saudi Arabia;Medical Education Department, King Fahd Hospital of the University, Al-Khobar 34445, Saudi Arabia;Police Academy, Baghdad 10022, Iraq;

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

DOI  :  10.3390/s22031205

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown