IoT-Enabled Integrated Health Monitoring System: Real-Time Data Collection and Analysis for Improved Chronic Disease Management and Reducing Poverty
International Journal of Electrical and Electronics Engineering |
© 2024 by SSRG - IJEEE Journal |
Volume 11 Issue 10 |
Year of Publication : 2024 |
Authors : Abdifatah Farah Ali, Rusli Haji Abdullah, Abdikarim Abi Hassan, Husein Osman Abdullahi |
How to Cite?
Abdifatah Farah Ali, Rusli Haji Abdullah, Abdikarim Abi Hassan, Husein Osman Abdullahi, "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, vol. 11, no. 10, pp. 205-215, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I10P121
Abstract:
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.
Keywords:
Internet of Things, Telemedicine, Smart healthcare, Health monitoring, IoT sensors.
References:
[1] Md. Milon Islam, Ashikur Rahaman, and Md. Rashedul Islam, “Development of Smart Healthcare Monitoring System in IoT Environment,” SN Computer Science, vol. 1, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Prabha Sundaravadivel et al., “Everything You Wanted to Know about Smart Health Care: Evaluating the Different Technologies and Components of the Internet of Things for Better Health,” IEEE Consumer Electronics Magazine, vol. 7, no. 1, pp. 18-28, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Laith Farhan et al., “Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey,” Network, vol. 1, no. 3, pp. 279-314, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Mazin Alshamrani, “IoT and Artificial Intelligence Implementations for Remote Healthcare Monitoring Systems: A Survey,” Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 8, pp. 4687-4701, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Stephanie Allen, “2019 Global Health Care Outlook: Shaping the Future,” Report, Deloitte, 2019.
[Google Scholar] [Publisher Link]
[6] Ashikur Rahaman et al., “Developing IoT Based Smart Health Monitoring Systems: A Review,” Revue d'Intelligence Artificielle, vol. 33, no. 6, pp. 435-440, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] M. Venkata Sudhakar et al., “Development of Smart Parking Management System,” Materials Today: Proceedings, vol. 80, pp. 2794-2798, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Morteza Rahimi, Maryam Songhorabadi, and Mostafa Haghi Kashani, “Fog-Based Smart Homes: A Systematic Review,” Journal of Network and Computer Applications, vol. 153, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Ayyoob Sharifi, Amir Reza Khavarian-Garmsir, and Rama Krishna Reddy Kummitha, “Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review,” Sustainability, vol. 13, no. 14, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Elsayed Said Mohamed et al., “Smart Farming for Improving Agricultural Management,” The Egyptian Journal of Remote Sensing and Space Science, vol. 24, no. 3, pp. 971-981, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Pankaj Sharma et al., “Role of Swarm Intelligence for Health Monitoring and Related Actions,” Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges, CRC Press, pp. 95-118, 2022.
[Google Scholar] [Publisher Link]
[12] Md. Milon Islam et al., “A Review on Fall Detection Systems Using Data from Smartphone Sensors,” Ingénierie des Systèmes d’Information, vol. 24, no. 6, pp. 569-576, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Saifuddin Mahmud et al., “A Multi-Modal Human Machine Interface for Controlling a Smart Wheelchair,” 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC), Melaka, Malaysia, pp. 10-13, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Saifuddin Mahmud, Xiangxu Lin, and Jong-Hoon Kim, “Interface for Human Machine Interaction for Assistant Devices: A Review,” 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 0768-0773, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Xiangxu Lin et al., “Virtual Reality-Based Musical Therapy for Mental Health Management,” 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 0948-0952, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Santiago Meliá et al., “MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities,” International Journal of Environmental Research and Public Health, vol. 18, no. 12, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Nada Y. Philip et al., “Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 2, pp. 300-310, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[18] G.Karthik Reddy, and K. Lokesh Achari, “A Non Invasive Method for Calculating Calories Burned during Exercise Using Heartbeat,” 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, pp. 1-5, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Daniel Teichmann et al., “Non-Contact Monitoring Techniques-Principles and Applications,” 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, pp. 1302-1305, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Chao-Tung Yang et al., “Implementation of an Intelligent Indoor Environmental Monitoring and Management System in Cloud,” Future Generation Computer Systems, vol. 96, pp. 731-749, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Kailas Patil et al., “A Consumer-Based Smart Home with Indoor Air Quality Monitoring System,” IETE Journal of Research, vol. 65, no. 6, pp. 758-770, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Safial Islam Ayon, Md. Milon Islam, and Md. Rahat Hossain, “Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques,” IETE Journal of Research, vol. 68, no. 4, pp. 2488-2507, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Md. Milon Islam et al., “Prediction of Breast Cancer Using Support Vector Machine and K-Nearest Neighbors,” 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh, pp. 226-229, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Md. Rezwanul Haque et al., “Performance Evaluation of Random Forests and Artificial Neural Networks for the Classification of Liver Disorder,” 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, pp. 1-5, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Jobeda Jamal Khanam, and Simon Y. Foo, “A Comparison of Machine Learning Algorithms for Diabetes Prediction,” ICT Express, vol. 7, no. 4, pp. 432-439, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Cristiano André da Costa et al., “Internet of Health Things: Toward Intelligent Vital Signs Monitoring in Hospital Wards,” Artificial Intelligence in Medicine, vol. 89, pp. 61-69, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Suliman Abdulmalek et al., “IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review,” Healthcare, vol. 10, no. 10, 1993.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Anand D. Acharya, and Shital N. Patil, “IoT Based Health Care Monitoring Kit,” 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, pp. 363-368, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Mustafa A. Al-Sheikh, and Ibrahim A. Ameen, “Design of Mobile Healthcare Monitoring System Using IoT Technology and Cloud Computing,” IOP Conference Series: Materials Science and Engineering, vol. 881, no. 1, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[30] S. Banerjee, and S. Roy, “Design of a Photo Plethysmography Based Pulse Rate Detector,” International Journal of Recent Trends in Engineering & Research, vol. 2, pp. 302-306, 2016.
[Google Scholar]
[31] Mohd. Hamim et al., “IoT Based Remote Health Monitoring System for Patients and Elderly People,” 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), Dhaka, Bangladesh, pp. 533-538, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Mathew J. Gregoski et al., “Development and Validation of a Smartphone Heart Rate Acquisition Application for Health Promotion and Wellness Telehealth Applications,” International Journal of Telemedicine and Applications, vol. 2012, no. 1, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[33] S. Pradeep Kumar et al., “Smart Health Monitoring System of Patient through IoT,” 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, pp. 551-556, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[34] J.S. Raj, “A Novel Information Processing in IoT Based Real Time Health Care Monitoring System,” Journal of Electronics and Informatics, vol. 2, no. 3, pp. 188-196, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Pavleen Kaur, Ravinder Kumar, and Munish Kumar, “A Healthcare Monitoring System Using Random Forest and Internet of Things (IoT),” Multimedia Tools and Applications, vol. 78, pp. 19905-19916, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[36] M.R. Desai, and Sushma Toravi, “A Smart Sensor Interface for Smart Homes and Heart Beat Monitoring Using WSN in IoT Environment,” 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Mysore, India, pp. 74-77, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[37] K. Narendra Swaroop et al., “A Health Monitoring System for Vital Signs Using IoT,” Internet of Things, vol. 5, pp. 116-129, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Dev Gupta, Akanksha Parikh, and R. Swarnalatha, “Integrated Healthcare Monitoring Device for Obese Adults Using Internet of Things (IoT),” International Journal of Electrical & Computer Engineering, vol. 10, no. 2, pp. 1239-1247, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Alamsyah Alamsyah et al., “Internet of Things-Based Vital Sign Monitoring System,” International Journal of Electrical and Computer Engineering, vol. 10, no. 6, pp. 5891-5898, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Taiyang Wu et al., “A Rigid-Flex Wearable Health Monitoring Sensor Patch for IoT-Connected Healthcare Applications,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6932-6945, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Alireza Souri et al., “A New Machine Learning-Based Healthcare Monitoring Model for Student’s Condition Diagnosis in Internet of Things Environment,” Soft Computing, vol. 24, no. 22, pp. 17111-17121, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Hashimah Hashim, Syamimi Fitrah Binti Salihudin, and Puteri Sarah Mohamad Saad, “Development of IoT Based Healthcare Monitoring System,” 2022 IEEE International Conference in Power Engineering Application (ICPEA), Shah Alam, Malaysia, pp. 1-5, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Osman Diriye Hussein, and Husein Osman, “IoT-Based Air Quality Management in Somalia,” International Journal of Electronics and Communication Engineering, vol. 11, no. 3, pp. 77-86, 2024.
[CrossRef] [Google Scholar] [Publisher Link]