Remote Monitoring of Health Using Artificial Intelligence and Internet of Things in Smart Cities
Keywords:
Artificial Intelligence, Healthcare Monitoring system, Implementation, IOTAbstract
Modern sensors and devices may connect to the internet and communicate with one another, thanks to the Internet of Things (IoT), a powerful technical development. Smart cities, smart homes, and smart healthcare are just a few of the fascinating application domains that end users can access through a stage. With the help of cutting-edge technology like the Internet of Things, healthcare monitoring systems can now be significantly improved. This study examines the architecture, functionalities, and fundamental principles of IoT-based healthcare monitoring systems and applications for poorly understood diseases. In order for the present apps and systems to better serve patients, a thorough investigation has been done in this paper to determine their efficacy, value, and suitability. Numerous healthcare monitoring systems have made utilization of the IoT to organize the various remote points of contact with the cloud-based healthcare administrations. Finding, obtaining, handling, storing, and learning more about patient information are some of these administrative duties. The numerous IoT healthcare apps will contribute to the creation of advantageous and efficient arrangements by gradually integrating these systems. The survey's findings seem to support the notion that faster development of healthcare arrangements beneficial for a range of healthcare issues and scenarios is occurring as a result of IoT-based healthcare monitoring applications.
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S.H. Almotiri, M. A. Khan, and M. A. Alghamdi. Mobile health (m- health) system in the context of iot. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 39–42, Aug 2016.
Gulraiz J. Joyia, Rao M. Liaqat, Aftab Farooq, and Saad Rehman, Internet of Medical Things (IOMT): Applications, Benefits and Future Challenges in Healthcare Domain, Journal of Communications Vol. 12, No. 4, April 2017.
Shubham Banka, Isha Madan and S.S. Saranya, Smart Healthcare Monitoring using IoT. International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 15, pp. 11984-11989, 2018.
K. Perumal, M. Manohar, A Survey on Internet of Things: Case Studies, Applications, and Future Directions, In Internet of Things: Novel Advances and Envisioned Applications, Springer International Publishing, (2017) 281-297
Urbieta, A., González-Beltrán, A., Ben Mokhtar, S., Anwar Hossain, M., Capra, L., 2017. Adaptive and context-aware service composition for IoT-based smart cities. Futur. Gener. Comput. Syst. 76, 262–274. https://doi.org/10.1016/ j.future.2016.12.038.
Singh, R., Gehlot, A., Vaseem Akram, S., Kumar Thakur, A., Buddhi, D., Kumar Das, P., 2021. Forest 4.0: Digitalization of forest using the Internet of Things (IoT). J. King Saud Univ. – Comput. Inf. Sci.
Sharma, S.R., 2019. Internet of Things IoT: IoT in Healthcare. Int. J. Trend Sci. Res. Dev. Volume-3, 980–982.
Movassaghi, S., M Abolhasan, J. L-C., 2014. Wireless body area networks: a survey. ieeexplore.ieee.org.
Lucisano, J., Routh, T.,Lin, J., 2016. Glucose monitoring in individuals with diabetes using a long-term implanted sensor/telemetry system and model. ieeexplore. ieee.org.
Chaki, J., Thillai Ganesh, S., Cidham, S.K., Ananda Theertan, S., 2020. Machine learning and artificial intelligence based Diabetes Mellitus detection and selfmanagement: a systematic review. J. King Saud Univ. - Comput. Inf. Sci. https:// doi.org/10.1016/j.jksuci.2020.06.013.
Cook, D.J., Duncan, G., Sprint, G., Fritz, R.L., 2018. Using smart city technology to make healthcare smarter. Proc. IEEE 106, 708–722. https://doi.org/10.1109/ JPROC.2017.2787688
Sharma, S.R., 2019. Internet of Things IoT: IoT in Healthcare. Int. J. Trend Sci. Res. Dev. Volume-3, 980–982.
Krishna, K. S. ., Satish, T. ., & Mishra, J. . (2023). Machine Learning-Based IOT Air Quality and Pollution Detection. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2s), 132–145. https://doi.org/10.17762/ijritcc.v11i2s.6036
Lucisano, J., Routh, T.,Lin, J., 2016. Glucose monitoring in individuals with diabetes using a long-term implanted sensor/telemetry system and model. ieeexplore. ieee.org.
L. Otto, L. Harst, H. Schlieter, B. Wollschlaeger, P. Richter, and P. Timpel, ―Towards a Unified Understanding of eHealth and Related Terms-Proposal of a Consolidated Terminological Basis,‖ scitepress.org, 2018, doi: 10.5220/0006651005330539.
S. Ghanavati, J. H. J. H. Abawajy, D. Izadi, and A. A. A. A. Alelaiwi, ―Cloud-assisted IoT-based health status monitoring framework,‖ Cluster Comput., vol. 20, no. 2, pp. 1843–1853, Jun. 2017, doi: 10.1007/s10586-017-0847-y.
N. Dey, A. S. A. S. Ashour, F. Shi, S. J. S. J. Fong, and J. M. R. S. J. M. R. S. Tavares, ―Medical cyber-physical systems: A survey,‖ J. Med. Syst., vol. 42, no. 4, p. 74, Apr. 2018, doi: 10.1007/s10916- 018-0921-x.
Y. Miao, G. Wu, C. Liu, M. S. S. Hossain, and G. Muhammad, ―Green Cognitive Body Sensor Network: Architecture, Energy Harvesting, and Smart Clothing-Based Applications,‖ IEEE Sens. J., vol. 19, no. 19, pp. 8371–8378, 2019, doi: 10.1109/JSEN.2018.2870251.
J. A. Caviness, ―Wireless Sensing for Healthcare Solutions,‖ in 2018 IEEE International Conference on Electro/Information Technology (EIT), 2018, pp. 923–927, doi: 10.1109/EIT.2018.8500199.
W. Zhao, C. Wang, and Y. Nakahira, “Medical application on internet of things,” in IET Int. Conf. on Com. Tech. and Application (ICCTA 2011), Oct 2011, pp. 660–665.
Mr. Rahul Sharma. (2015). Recognition of Anthracnose Injuries on Apple Surfaces using YOLOV 3-Dense. International Journal of New Practices in Management and Engineering, 4(02), 08 - 14. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/36
F. Hu, D. Xie, and S. Shen, “On the application of the internet of things in the field of medical and health care,” in IEEE Int. Conf. on and IEEE Cyber, Physical and Social Computing Green Computing and Communications (GreenCom),(iThings/CPSCom), Aug 2013, pp. 2053– 2058.
Ms. Mohini Dadhe, Ms. Sneha Miskin. (2015). Optimized Wireless Stethoscope Using Butterworth Filter. International Journal of New Practices in Management and Engineering, 4(03), 01 - 05. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/37
T. Soyata, R. Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman, “Cloud-Vision: Real-Time face recognition using a Mobile-CloudletCloud acceleration architecture,” in Proceedings of the 17th IEEE Symposium on Computers and Communications (IEEE ISCC 2012), Cappadocia, Turkey, Jul 2012, pp. 59–66.
G. Nalinipriya and R. Aswin Kumar, “Extensive medical data storage with prominent symmetric algorithms on cloud - a protected framework,” in IEEE Int. Conf. on Smart Structures and Systems (ICSSS), March 2013, pp. 171–177.
F. M. Hani, I. V. Paputungan, M. F. Hassan, V. S. Asirvadam, and M. Daharus, “Development of private cloud storage for medical image research data,” in Int.Conf. on Computer and Inf. Sciences (ICCOINS), June 2014, pp. 1–6.
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