Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty
Healthcare monitoring systems are innovative technologies that facilitate real-time patient data tracking and analysis, enabling remote monitoring, personalized treatment, and improved diagnosis. These technologies increase productivity and efficiency and reduce costs, attracting global interest due...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Seventh Sense Research Group
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119245/ http://psasir.upm.edu.my/id/eprint/119245/1/119245.pdf |
| _version_ | 1848867914490314752 |
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| author | Ali, Abdifatah Farah Abdullah, Rusli Abi Hassan, Abdikarim Abdullahi, Husein Osman |
| author_facet | Ali, Abdifatah Farah Abdullah, Rusli Abi Hassan, Abdikarim Abdullahi, Husein Osman |
| author_sort | Ali, Abdifatah Farah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Healthcare monitoring systems are innovative technologies that facilitate real-time patient data tracking and analysis, enabling remote monitoring, personalized treatment, and improved diagnosis. These technologies increase productivity and efficiency and reduce costs, attracting global interest due to their potential benefits. Internet of Things (IoT) technology has transformed healthcare, shifting from in-person consultations to telemedicine. An IoT-based smart healthcare system that monitors a patient's vital health indicators and room environment in real-time is proposed in this study. Data is collected using five IoT sensors, including a heart rate sensor, a body temperature sensor, a room temperature sensor, a carbon monoxide sensor, and a carbon dioxide sensor. The error margin for each parameter is less than 5%. Patient situations are provided to medical professionals via a gateway, allowing for real-time processing and analysis. The system's efficiency proves it is suitable for monitoring healthcare and is an invaluable tool in modern healthcare environments by its effectiveness. |
| first_indexed | 2025-11-15T14:44:04Z |
| format | Article |
| id | upm-119245 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:44:04Z |
| publishDate | 2024 |
| publisher | Seventh Sense Research Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1192452025-08-12T02:21:29Z http://psasir.upm.edu.my/id/eprint/119245/ Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty Ali, Abdifatah Farah Abdullah, Rusli Abi Hassan, Abdikarim Abdullahi, Husein Osman Healthcare monitoring systems are innovative technologies that facilitate real-time patient data tracking and analysis, enabling remote monitoring, personalized treatment, and improved diagnosis. These technologies increase productivity and efficiency and reduce costs, attracting global interest due to their potential benefits. Internet of Things (IoT) technology has transformed healthcare, shifting from in-person consultations to telemedicine. An IoT-based smart healthcare system that monitors a patient's vital health indicators and room environment in real-time is proposed in this study. Data is collected using five IoT sensors, including a heart rate sensor, a body temperature sensor, a room temperature sensor, a carbon monoxide sensor, and a carbon dioxide sensor. The error margin for each parameter is less than 5%. Patient situations are provided to medical professionals via a gateway, allowing for real-time processing and analysis. The system's efficiency proves it is suitable for monitoring healthcare and is an invaluable tool in modern healthcare environments by its effectiveness. Seventh Sense Research Group 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/119245/1/119245.pdf Ali, Abdifatah Farah and Abdullah, Rusli and Abi Hassan, Abdikarim and Abdullahi, Husein Osman (2024) Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty. SSRG International Journal of Electrical and Electronics Engineering, 11 (10). pp. 205-215. ISSN ; eISSN: 2348-8379 https://www.internationaljournalssrg.org/IJEEE/paper-details?Id=880 10.14445/23488379/ijeee-v11i10p121 |
| spellingShingle | Ali, Abdifatah Farah Abdullah, Rusli Abi Hassan, Abdikarim Abdullahi, Husein Osman Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title | Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title_full | Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title_fullStr | Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title_full_unstemmed | Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title_short | Iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| title_sort | iot-enabled integrated health monitoring system: real-time data collection and analysis for improved chronic disease management and reducing poverty |
| url | http://psasir.upm.edu.my/id/eprint/119245/ http://psasir.upm.edu.my/id/eprint/119245/ http://psasir.upm.edu.my/id/eprint/119245/ http://psasir.upm.edu.my/id/eprint/119245/1/119245.pdf |