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Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing

B. Muthu Senthil *, Sabarish J. **, Sonali S. ***, Vidhyaa P. T. R. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Periodicity:July - December'2020
DOI : https://doi.org/10.26634/jcc.7.2.18128

Abstract

The paper aims to develop an application that will enhance the life of the patients who are all affected by Alzheimer's disease. Possible ways to reduce the cost of treatment, provide adequate medical care and monitoring activities of these patients can be achieved using modern technology. IoT, cloud computing, etc., plays a vital role in healthcare and helps to improve the available functionalities by using sensors or actuators. The application consists of various modules such as GPS for movement tracking, regular monitoring of patient's health and alert system to send alert whenever abnormalities happen. The goal of this application is to focus on Alzheimer's patients to lead an independent life and to improve their lifestyle.

Keywords

GPS, Application, IoT, Cloud Computing, Assistance.

How to Cite this Article?

Senthil, B. M., Sabarish, J., Sonali, S., and Vidhyaa, P. T. R. (2020). Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing. i-manager's Journal on Cloud Computing, 7(2), 15-19. https://doi.org/10.26634/jcc.7.2.18128

References

[1]. Akhund, T. M. N. U., Mahi, M. J. N., Tanvir, A. H., Mahmud, M., & Kaiser, M. S. (2018, December). ADEPTNESS: Alzheimer's disease patient management system using pervasive sensors-early prototype and preliminary results. In International Conference on Brain Informatics (pp. 413-422). Cham: Springer. https://doi.org/ 10.1007/978-3-030-05587-5_39

[2]. Krishnan, D. S. R., Gupta, S. C., & Choudhury, T. (2018, June). An IoT based patient health monitoring system. In 2018, International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 01-07). IEEE. https://doi.org/10.1109/ICACCE.2018.84 41708

[3]. Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring: A comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1), 57-76. https://doi.org/10.1007/s12652- 017-0598-x

[4]. Paiva, S., & Abreu, C. (2012). Low cost GPS tracking for the elderly and Alzheimer patients. Procedia Technology, 5, 793-802. https://doi.org/10.1016/j.protcy.2012.09.088

[5]. Saranya, S., & JesuJayarin, P. (2017, March). A survey for tracking and monitoring the Alzheimer patient. In 2017, Third International Conference on Science Technology Engineering & Management (ICONSTEM) (pp. 116-120). IEEE. https://doi.org/10.1109/ICONSTEM.2017.8261266

[6]. Shin, D., Shin, D., & Shin, D. (2014). Ubiquitous health management system with watch-type monitoring device for dementia patients. Journal of Applied Mathematics. https://doi.org/10.1155/2014/878741

[7]. Thakare, P., & Pawar, V. R. (2016, August). Alzheimer disease detection and tracking of Alzheimer patient. In 2016, International Conference on Inventive Computation Technologies (ICICT) (Vol. 1, pp. 1-4). IEEE. https://doi.org/ 10.1109/INVENTIVE.2016.7823286

[8]. Weenk, M., van Goor, H., Frietman, B., Engelen, L. J., van Laarhoven, C. J., Smit, J., Bredie, S. J., & van de Belt, T. H. (2017). Continuous monitoring of vital signs using wearable devices on the general ward: Pilot study. JMIR mHealth and uHealth, 5(7), 91. https://doi.org/10.2196/ mhealth.7208

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing

Abstract

Keywords

How to Cite this Article?

References

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