Smart Health Monitoring System based on IoT and Cloud Computing

Document Type : Original Article

Authors

1 Department of Embedded Network Systems Technology Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

2 Electronics and Electrical Communication Engineering Dept. Faculty of Electronic Engineering, Menoufia University, Egypt

3 Computer Science and Engineering Dept. Faculty of Electronic Engineering, Menoufia University, Egypt

4 Industrial Electronics and Control Engineering Dept. Faculty of Electronic Engineering, Menoufia University, Egypt

Abstract

This paper presents a secure IoT-based health monitoring system that shortens the distance between a patient and the relevant medical organization. Vital signals captured from sensors are processed and encrypted using AES (Advanced Encryption Standard) algorithm before sending to the cloud for storage. A Node MCU microcontroller is utilized to carry out the processing and encryption functions, and for providing connectivity to the cloud over WiFi. In addition, a medical specialist can visualize the private health data in real-time only after providing decryption credentials. Moreover, the proposed system provides an alert by sending an email to some patient relatives or coordinating specialist if vital signs are outside the normal rates. The proposed system provides privacy, security, and real-time connectivity for private health data records.

Keywords

References

[1]         H. Alemdar and C. Ersoy, “Wireless sensor networks for healthcare: A survey,” Computer networks, vol. 54, no. 15, pp. 2688–2710, 2010.
[2]         M. Hassanalieragh et al., “Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges,” in 2015 IEEE International Conference on Services Computing, 2015, pp. 285–292.
[3]         S. Anand and V. Nath, “Study and Design of Smart Embedded System for Remote Health Monitoring Using Internet of Things,” Springer, Singapore, 2019, pp. 409–414.
[4]         M. Al-khafajiy et al., “Remote health monitoring of elderly through wearable sensors,” Multimedia Tools and Applications, pp. 1–26, Jan. 2019.
[5]         M. Talal et al., “Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review,” Journal of Medical Systems, vol. 43, no. 3, p. 42, 2019.
[6]         S. Daǧtas, G. Pekhteryev, Z. Sahinoǧlu, H. Cam, and N. Challa, “Real-time and secure wireless health monitoring,” International Journal of Telemedicine and Applications, vol. 2008, 2008.
[7]         C. Esposito, A. De Santis, G. Tortora, H. Chang, and K.-K. R. Choo, “Blockchain: A panacea for healthcare cloud-based data security and privacy?,” IEEE Cloud Computing, vol. 5, no. 1, pp. 31–37, 2018.
[8]         A. I. Siam, H. A. El-khobby, H. S. A. Elkader, and M. M. AbdelNaby, “Enhanced Data Security Model for Cloud Computing Platform,” International Journal of Scientific Research in Science, Engineering and Technology, vol. 1, no. 4, pp. 450–460, 2015.
[9]         A. V. Halteren et al., “Mobile patient monitoring: the MobiHealth system,” Journal on Information Technology in Healthcare, vol. 2, no. 5, pp. 365–373, 2004.
[10]       R. Chakravorty, “A programmable service architecture for mobile medical care,” in Proceedings of the 4th Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom ’06), 2006, pp. 532–536.
[11]       M. Gupta, V. Patchava, and V. Menezes, “Healthcare based on IoT using Raspberry Pi,” in 2015 IEEE international conference on green computing and internet of things (ICGCIoT), 2015, pp. 796–799.
[12]       J. Mohammed, C.-H. Lung, A. Ocneanu, A. Thakral, C. Jones, and A. Adler, “Internet of Things: Remote Patient Monitoring Using Web Services and Cloud Computing,” in 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), 2014, pp. 256–263.
[13]       A. M. Ghosh, D. Halder, and S. A. Hossain, “Remote Health Monitoring System through IoT,” in 2016 IEEE 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016, pp. 921–926.
[14]       “Maxim Integrated, MAX30102 datasheet.” [Online]. Available: https://datasheets.maximintegrated.com/en/ds/MAX30102.pdf. [Accessed: 20-Mar-2019].
[15]       “Maxim Integrated, DS18B20 datasheet.” [Online]. Available: https://datasheets.maximintegrated.com/en/ds/DS18B20.pdf. [Accessed: 20-Mar-2019].
[16]       “NodeMCU Documentation.” [Online]. Available: https://nodemcu.readthedocs.io/. [Accessed: 20-Mar-2019].
Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 37-42

Files

Share

How to cite

Statistics