Smart Health Monitoring System for Elderly Palestinians using Internet of Things
Keywords:
Elderly Health Monitoring, internet of things (IoT), smart health care, traditional healthcare, wearable Devices.Abstract
Palestinian demographic landscape is undergoing an increase in the elderly population like many regions across the world. The elderly Palestinians face a unique challenges and problems of limited access to traditional care due to restricted movement, checkpoints, and also for limited healthcare resources. Therefore, the need arose to develop a sensitive and adaptable smart health monitoring system for Palestinian elderly to provide accurate and timely health data to prevent complications.
The proposed system Smart Health Monitoring System leverages the Internet of Things with appropriate sensors to track vital signs like heart rate, blood oximeter, body temperature and signal from a patient heart. Advanced algorithms analyze the data, generating alerts for potential health risks, triggering timely interventions, and enabling remote consultations. This system has the potential to contributes to SDG 3 to significantly improve the health and well-being of elderly Palestinians by providing an accurate, low-power, and low-cost system for remote health monitoring. The system, being wearable, reads vital signs in real-time, overcoming geographical barriers and facilitating remote monitoring, especially in areas with limited healthcare centers and suffered from barriers along the way. The Doctor can suggest the patient’s prescription needed based on the momentary condition of the elderly and on previous readings of the sensors, if necessary. Which will also be notified via messages. Moreover, the doctor can take immediate intervention in case of an emergency. By implementing the system, it will be unnecessary for more than “50%” of the elderly to visit health care, thus reducing the cost to “50%”.
Downloads
References
B. Sumathy, S. Kavimullai, S. Shushmithaa, and S.S. Anusha, “Wearable non-invasive health monitoring device for elderly using IoT,” in IOP Conference Series: Materials Science and Engineering, vol. 1012, no. 1, p. 012011, IOP Publishing, 2021.
S. Naik and E. Sudarshan, “Smart healthcare monitoring system using raspberry Pi on IoT platform,” ARPN Journal of Engineering and Applied Sciences, vol. 14, no. 4, pp. 872–876, 2019.
S. Pinto, J. Cabral, and T. Gomes, “We-care: An IoT-based health care system for elderly people,” in Proceedings of the 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1378–1383, IEEE, 2017.
S.L. Rohit and B.V. Tank, “IoT based health monitoring system using raspberry PI-review,” in Proceedings of the 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 997–1002, IEEE, 2018
A.N. Soni, “Smart devices using internet of things for health monitoring,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 7, no. 5, pp. 6355–6361, 2018
S. Banka, I. Madan, and S.S. Saranya, “Smart healthcare monitoring using IoT,” International Journal of Applied Engineering Research, vol. 13, no. 15, pp. 11984–11989, Research India Publications, 2018
M.M. Islam, A. Rahaman, and M.R. Islam, “Development of smart healthcare monitoring system in IoT environment,” SN Computer Science, vol. 1, pp. 1–11, Springer, 2020.
A.B. Ahmed, Y. Kimezawa, and A.B. Abdallah, “Towards smart health monitoring system for elderly people,” in Proceedings of the 4th International Conference on Awareness Science and Technology, pp. 248–253, IEEE, 2012.
J.J. Wang and R. Payne, “A survey of Internet of Things in Healthcare,” EAI Endorsed Transactions on Internet of Things, vol. 7, no. 27, 2022.
T. Shaown, M. Shohrab Hossain, and T.M. Mukur, “Low-Cost health monitoring system: A smart technological device for elderly people,” in Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 2, pp. 851–860, Springer, 2022.
M.R. Islam, M.M. Kabir, M.F. Mridha, S. Alfarhood, M. Safran, and D. Che, “Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time,” Sensors, vol. 23, no. 11, p. 5204, MDPI, 2023.
G.J. Lakshmi, M. Ghonge, and A.J. Obaid, “Cloud based IoT smart healthcare system for remote patient monitoring,” EAI Endorsed Transactions on Pervasive Health and Technology, vol. 7, no. 28, pp. e4–e4, 2021.
M. Hamim, S. Paul, S.I. Hoque, M.N. Rahman, and I.-A. Baqee, “IoT based remote health monitoring system for patients and elderly people,” in Proceedings of the 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pp. 533–538, IEEE, 2019.
M.A. Muqeet and M.U. Quadri, “IoT based patient monitoring system using Raspberry Pi,” vol. 7, p. 6, 2019.
K. Zeb, A. Mahmood, W. Uddin, M.A. Khan, H.J. Kim, et al., “Healthcare monitoring system and transforming monitored data into real time clinical feedback based on IoT using Raspberry Pi,” in Proceedings of the 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1–6, IEEE, 2019.
O. Al-Mahmud, K. Khan, R. Roy, and F.M. Alamgir, “Internet of things (IoT) based smart health care medical box for elderly people,” in Proceedings of the 2020 International Conference for Emerging Technology (INCET), pp. 1–6, IEEE, 2020.
K. Zovko, L. Šerić, T. Perković, H. Belani, and P. Šolić, “IoT and health monitoring wearable devices as enabling technologies for sustainable enhancement of life quality in smart environments,” Journal of Cleaner Production, vol. 413, p. 137506, Elsevier, 2023.
S. Krishnamoorthy, A. Dua, and S. Gupta, “Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 1, pp. 361–407, Springer, 2023.
M. Umer, T. Aljrees, H. Karamti, A. Ishaq, S. Alsubai, M. Omar, A.K. Bashir, and I. Ashraf, “Heart failure patients monitoring using IoT-based remote monitoring system,” Scientific Reports, vol. 13, no. 1, p. 19213, Nature Publishing Group UK London, 2023.
Godinho, F. Cardoso, P.J. Coelho, and I.M. Pires, “Internet of Things-based care monitoring for the elderly and those with special needs,” Procedia Computer Science, vol. 224, pp. 572–579, Elsevier, 2023.
N. Shaikh, K. Kasat, R.K. Godi, V.R. Krishna, D.K. Chauhan, and J. Kharade, “Novel IoT framework for event processing in healthcare applications,” Measurement: Sensors, vol. 27, p. 100733, Elsevier, 2023.
P. Kulurkar, C. Kumar Dixit, V.C. Bharathi, A. Monikavishnuvarthini, A. Dhakne, and P. Preethi, “AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT,” Measurement: Sensors, vol. 25, p. 100614, Elsevier, 2023.
K.H. Almotairi, “Application of internet of things in healthcare domain,” Journal of Umm Al-Qura University for Engineering and Architecture, vol. 14, no. 1, pp. 1–12, Springer, 2023.
R. Bulcão-Neto, P. Teixeira, B. Lebtag, V. Graciano-Neto, A. Macedo, and B. Zeigler, “Simulation of IoT-oriented fall detection systems architectures for in-home patients,” IEEE Latin America Transactions, vol. 21, no. 1, pp. 16–26, IEEE, 2023.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
