Real Time Analysis of Intelligent Health Monitoring and Home Automation System using IoT

B. Bhuvaneswari*, Ankith Jeejo**, Ashwin G.***, Kamalesh Kumar K. P.****, Anbhazhagan M.*****
*_*****Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, Tamil Nadu, India.
Periodicity:January - June'2019
DOI : https://doi.org/10.26634/jes.7.2.15875

Abstract

In this paper we propose to implement an intelligent health monitoring system that includes a home automation system based on IoT. This paper correlates the usage of embedded systems and Internet of Things in a productive manner. Initially a microcontroller is interfaced with necessary sensors to collect the physiological data from the patient and transfer to the database. The home automation system is incorporated to help the patient to have a better sophistication at home/hospital without any human assistance. Based on the reference values the physiological data obtained are verified and accordingly an alert message is sent to the medical assistant as well as concerned person to provide a immediate aid to the patient. The existing method for patient health monitoring has processing delay in transmission and reception of data. In our model, the delay is minimized and thus the patient can also be monitored across countries without any interruption. The experimental results in this paper show the output against various medical emergencies. Thus by using this device a better patient assistance system is provided.

Keywords

Patient Monitoring, Home Automation, IoT, Raspberry-Pi, Home Automation, Threshold, Cloud Data

How to Cite this Article?

Bhuvaneswari, B., Jeejo, A., Ashwin, G., Kumar, K. P. K., & Anbhazhagan, M. (2019). Real Time Analysis of Intelligent Health Monitoring and Home Automation System using IoT, i-manager's Journal on Embedded Systems, 7(2), 13-18. https://doi.org/10.26634/jes.7.2.15875

References

[1]. Banka, S., Madan, I., & Saranya, S. S. (2018). Smart healthcare monitoring using IoT. International Journal of Applied Engineering, 13(15), 11984-11989.
[2]. Chakole, S., Jibhkate, R. R., Choudhari, A. V., Gawali, S. R., & Tule, P. R. (2017). A healthcare monitoring system using WiFi module. International Research Journal of Engineering and Technology (IRJET), 4(3), 1413-1417.
[3]. Ghosh, A. M., Halder, D., & Hossain, S. A. (2016, May). th Remote health monitoring system through IoT. In 2016 5 International Conference on Informatics, Electronics and Vision (ICIEV) (pp. 921-926). IEEE. https://doi.org/ 10.1109/ICIEV.2016.7760135
[4]. Haripriya, K., Aravind, C. M., Karthigayen, V., & Ganesh, P. (2016). Patient health monitoring system using IoT and cloud based processing. Indian Journal of Science & Technology, 9(1), 1-7. https://doi.org/ 10.17485/ijst/2016/v9iS1/108434
[5]. Kajornkasirat, S., Chanapai, N., & Hnusuwan, B. (2018). Smart health monitoring system with IoT. IEEE Symposium on Computer Applications and Industrial Electronics, (pp. 206-211). http://dx.doi.org/ 10.1109/ ISCAIE.2018.8405471
[6]. Kokalki, S, A., Mali, A. R., Mundada, P. A., & Sontakke, R. H. (2017). Smart health band using IoT. IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). 1683-1687. http://dx.doi.org/ 10.1109/ICPCSI.2017.8392000
[7]. Mendoza, D., Gaona-García, P. A., Vargas, F., & Montenegro, C. (2018). Communication infrastructure for monitoring heart rate of patients on the cloud using IoT devices. International Information Institute (Tokyo). Information, 21(1), 131-138.
[8]. Mishra, A., Kumari, A., Sajit, P., & Pandey, P. (2018). Remote web based ECG Monitoring using MQTT Protocol for IoT in Healthcare. Development, 5(4), 1096-1101.
[9]. Saha, H. N., Raun, N. F., & Saha, M. (2017, August). Monitoring patient's health with smart ambulance system using Internet of Things (IOTs). In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON) (pp. 91-95). IEEE. https://doi.org/10.1109/IEMECON.2017.8079568
[10]. Sharma, S., Chen, K., & Sheth, A. (2018). Toward practical privacy-preserving analytics for IoT and cloud-based healthcare systems. IEEE Internet Computing, 22(2), 42-51. https://doi.org/10.1109/MIC.2018. 112102519
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