Cloud Networking based Patient Risk Detection Monitoring System

Authors

Keywords:

Cloud, Database, Biometric information, IOT Sensor, Home based medical beds, Patient monitoring

Abstract

Recent increase in elder population due to seriously low birth rate and development of medical technology, aging rate in Korea is rapidly accelerating. A sudden increase in the elderly population result in problems such as medical finance burden and lack of medical beds, such as medical insurance deficit. In order to prepare for this situation, this paper proposes a cloud based patient information monitoring system for home-based medical beds. Arduino is used to implement the model, and heart rate, temperature, and humidity information from sensors is stored in a cloud server-based, firebase database in real time to send a notification alarms from smartphone app in case of danger. Cloud-based services will enable ‘home-based medical beds’, and can also be used to monitor patients in nursing hospitals or clinics without ability to build and maintain pirvate servers.

Downloads

Download data is not yet available.

References

Myung-Jae Lim, Young-Man Kwan, “Design of location information system using a IoT-based on sensor” 2018.1 Journal of Engineering and Applied Science. 13/639-642

Dong-Hwan Gong, Ohseok Kwon and Keehwan Kim, “Implementation of Smart Sensor Network System Based on Open Source Hardware”, The Journal of The Institute of Internet, Broadcasting and Communication (IIBC), Vol. 17, No. 1, pp.123-128, Feb. 2017.

DOI: https://doi.org/10.7236/JIIBC.2017.17.1.123

Dat Van Anh Duong and Seo khoon Yoon, "A Human Movement Stream Processing System for Estimating Worker Locations in Shipyards", International Journal of Internet, Broadcasting and Communication Vol.13 No.4 135-142 (2021)

http://dx.doi.org/10.7236/IJIBC.2021.13.4.135

. Ananthakrishnan, B., V. . Padmaja, S. . Nayagi, and V. . M. “Deep Neural Network Based Anomaly Detection for Real Time Video Surveillance”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 4, Apr. 2022, pp. 54-64, doi:10.17762/ijritcc.v10i4.5534.

C. Olston, N. Fiedel, K. Gorovoy, J. Harmsen, L. Lao, F. Li, V. Rajashekhar, S. Ramesh, and J. Soyke, “Tensorflowserving: Flexible, high-performance ml serving,” arXiv preprint arXiv:1712.06139, Dec 2017.

Ahmed Cherif Megri, Sameer Hamoush, Ismail Zayd Megri, Yao Yu. (2021). Advanced Manufacturing Online STEM Education Pipeline for Early-College and High School Students. Journal of Online Engineering Education, 12(2), 01–06. Retrieved from http://onlineengineeringeducation.com/index.php/joee/article/view/47

Baes, A. M. M. ., Adoptante, A. J. M. ., Catilo, J. C. A. ., Lucero, P. K. L. ., Peralta, J. F. P., & de Ocampo, A. L. P. (2022). A Novel Screening Tool System for Depressive Disorders using Social Media and Artificial Neural Network. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 116–121. https://doi.org/10.18201/ijisae.2022.274

Amuda, O. K., Akinyemi, B. O., Sanni, M. L., & Aderounmu, G. A. (2022). A PREDICTIVE USER BEHAVIOUR ANALYTIC MODEL FOR INSIDER THREATS IN CYBERSPACE. International Journal of Communication Networks and Information Security (IJCNIS), 14(1). https://doi.org/10.17762/ijcnis.v14i1.5208

S. A. Shinde, P. A. Nimkar, S. P. Singh, V. D. Salpe, and Y. R. Jadhav, “MQTT-message queuing telemetry transport protocol,” International Journal of Research, Vol. 3, No. 3, pp.240-244, 2016.

X. Kang, L. Liu, H. Ma, and D. Zhao, “Urban context aware human mobility model based on temporal correlation,” In 2017 IEEE International Conference on Communications (ICC), pp.1-6, May 2017.

DOI: doi.org/10.1109/ICC.2017.7997157

D. V. A. Duong, and S. Yoon, “SRMM: A social relationship-aware human mobility model,” Electronics, Vol. 9, No. 2, p. 221, Feb 2020.

DOI: doi.org/10.3390/electronics9020221

Lee Minhye, Gi-Soo Chung , Dong-Myong, Jeong , "Design of The Patient Monitoring System based on Wearable Device for Multi-biosignal Measurement", Journal of the Institute of Electronics and Information Engineers, 2017, vol.54, no.7, pp. 103-109

Cloud-based Patient Monitoring System Diagram

Downloads

Published

15.10.2022

How to Cite

Lim, M.-J. ., Jun-Kim, H. ., & Jung, D.-K. . (2022). Cloud Networking based Patient Risk Detection Monitoring System. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 121 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/2245

Issue

Vol. 10 No. 1s (2022)

Section

Research Article

License

Creative Commons 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.