Loading...
Please wait, while we are loading the content...
Similar Documents
Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data
| Content Provider | MDPI |
|---|---|
| Author | Jaber, Mustafa Musa Alameri, Thamer Ali, Mohammed Hasan Alsyouf, Adi Al-Bsheish, Mohammad Aldhmadi, Badr K. Ali, Sarah Yahya Abd, Sura Khalil Ali, Saif Mohammed Albaker, Waleed Jarrar, Mu’Taman |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 1205 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22031205 |
| Journal | Sensors |
| Issue Number | 3 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-02-05 |
| Access Restriction | Open |
| Subject Keyword | Sensors Medical Informatics Covid-19 Cloud Computing Deep Learning Healthcare Data Iot Sensors Wearable Sensors |
| Content Type | Text |
| Resource Type | Article |
