Heart failure patients monitoring using IoT-based remote monitoring system
Abstract Intelligent health monitoring systems are becoming more important and popular as technology advances. Nowadays, online services are replacing physical infrastructure in several domains including medical services as well. The COVID-19 pandemic has also changed the way medical services are de...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-11-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-46322-6 |
| _version_ | 1797630217241493504 |
|---|---|
| author | Muhammad Umer Turki Aljrees Hanen Karamti Abid Ishaq Shtwai Alsubai Marwan Omar Ali Kashif Bashir Imran Ashraf |
| author_facet | Muhammad Umer Turki Aljrees Hanen Karamti Abid Ishaq Shtwai Alsubai Marwan Omar Ali Kashif Bashir Imran Ashraf |
| author_sort | Muhammad Umer |
| collection | DOAJ |
| description | Abstract Intelligent health monitoring systems are becoming more important and popular as technology advances. Nowadays, online services are replacing physical infrastructure in several domains including medical services as well. The COVID-19 pandemic has also changed the way medical services are delivered. Intelligent appliances, smart homes, and smart medical systems are some of the emerging concepts. The Internet of Things (IoT) has changed the way communication occurs alongside data collection sources aided by smart sensors. It also has deployed artificial intelligence (AI) methods for better decision-making provided by efficient data collection, storage, retrieval, and data management. This research employs health monitoring systems for heart patients using IoT and AI-based solutions. Activities of heart patients are monitored and reported using the IoT system. For heart disease prediction, an ensemble model ET-CNN is presented which provides an accuracy score of 0.9524. The investigative data related to this system is very encouraging in real-time reporting and classifying heart patients with great accuracy. |
| first_indexed | 2024-03-11T11:04:07Z |
| format | Article |
| id | doaj.art-230d1cd3a6014b60b79d3adfa2aa25d1 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-11T11:04:07Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-230d1cd3a6014b60b79d3adfa2aa25d12023-11-12T12:17:14ZengNature PortfolioScientific Reports2045-23222023-11-0113111910.1038/s41598-023-46322-6Heart failure patients monitoring using IoT-based remote monitoring systemMuhammad Umer0Turki Aljrees1Hanen Karamti2Abid Ishaq3Shtwai Alsubai4Marwan Omar5Ali Kashif Bashir6Imran Ashraf7Department of Computer Science and Information Technology, The Islamia University of BahawalpurDepartment College of Computer Science and Engineering, University of Hafr Al-BatinDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman UniversityDepartment of Computer Science and Information Technology, The Islamia University of BahawalpurDepartment of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz UniversityInformation Technology and Management, Illinois Institute of TechnologyDepartment of Computing and Mathematics, Manchester Metropolitan UniversityInformation and Communication Engineering, Yeungnam UniversityAbstract Intelligent health monitoring systems are becoming more important and popular as technology advances. Nowadays, online services are replacing physical infrastructure in several domains including medical services as well. The COVID-19 pandemic has also changed the way medical services are delivered. Intelligent appliances, smart homes, and smart medical systems are some of the emerging concepts. The Internet of Things (IoT) has changed the way communication occurs alongside data collection sources aided by smart sensors. It also has deployed artificial intelligence (AI) methods for better decision-making provided by efficient data collection, storage, retrieval, and data management. This research employs health monitoring systems for heart patients using IoT and AI-based solutions. Activities of heart patients are monitored and reported using the IoT system. For heart disease prediction, an ensemble model ET-CNN is presented which provides an accuracy score of 0.9524. The investigative data related to this system is very encouraging in real-time reporting and classifying heart patients with great accuracy.https://doi.org/10.1038/s41598-023-46322-6 |
| spellingShingle | Muhammad Umer Turki Aljrees Hanen Karamti Abid Ishaq Shtwai Alsubai Marwan Omar Ali Kashif Bashir Imran Ashraf Heart failure patients monitoring using IoT-based remote monitoring system Scientific Reports |
| title | Heart failure patients monitoring using IoT-based remote monitoring system |
| title_full | Heart failure patients monitoring using IoT-based remote monitoring system |
| title_fullStr | Heart failure patients monitoring using IoT-based remote monitoring system |
| title_full_unstemmed | Heart failure patients monitoring using IoT-based remote monitoring system |
| title_short | Heart failure patients monitoring using IoT-based remote monitoring system |
| title_sort | heart failure patients monitoring using iot based remote monitoring system |
| url | https://doi.org/10.1038/s41598-023-46322-6 |
| work_keys_str_mv | AT muhammadumer heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT turkialjrees heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT hanenkaramti heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT abidishaq heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT shtwaialsubai heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT marwanomar heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT alikashifbashir heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem AT imranashraf heartfailurepatientsmonitoringusingiotbasedremotemonitoringsystem |