International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

R.Yoganapriya, P.Deepthi , Dr.M.Dhinakaran

DOI: https://doi.org/10.46647/ijetms.2023.v07i01.015

ABSTRACT
The COVID-19 pandemic situation has made timely Health monitoring a major concern for saving a life. The busy routine life is a major challenge for doctors to regularly monitor the Health of a COVID Patient. To overcome this problem faced by the family members and doctors in this pandemic situation, we have designed a smart Health monitoring system using IoT (Internet of Things). This system immediately checks and alerts about the critical situations faced by the COVID Patients. This system uses NODEMCU ESP8266 controller, for continuous tracking of the Patient’s Blood Oxygen saturation (SpO 2 ) level. Additionally, Patient Health parameters such as Body Temperature, Heart rate (BPM), as well as Room Temperature and Humidity can also be measured. The Patient Health data are collected and stored in an IoT platform (BLYNK). These Patient Health parameters can be monitored from anywhere by any devices such as Smartphones, Laptop, PC, Smart TV’s etc… that supports browsing capabilities. If the levels of Blood Oxygen Saturation (SpO 2 ) gets lower, it sends a warning immediately to the family members, doctors and to the nearest hospital through mail, phone call and SMS (Short Message Service). By Checking the data obtained from the system, necessary actions could be taken before the problem becomes severe. Thus, the Patient’s life can be saved in time by using this proposed system.

Page No: 82 - 87

References:

1. Khan, M. M., Mehnaz, S., Shaha, A., Nayem, M., & Bourouis, S. (2021). IoT-Based Smart Health Monitoring System for COVID-19 Patients. Computational and Mathematical Methods in Medicine, 2021.
2. Taiwo, O., & Ezugwu, A. E. (2020). Smart Healthcare support for remote Patient monitoring during covid-19 quarantine. Informatics in medicine unlocked, 20, 100428."
3. Jaafari, S., Alhasani, A., & Almutairi, S. M. (2020, September). Certain Investigations on IoT system for COVID-19. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 1-4). IEEE.
4. Mukati, N., Namdev, N., Dilip, R., Hemalatha, N., Dhiman, V., & Sahu, B. (2021). Healthcare assistance to COVID-19 Patient using internet of things (IoT) enabled technologies. Materials Today: Proceedings.
5. Mohammed, M. N., Syamsudin, H., Al-Zubaidi, S., AKS, R. R., & Yusuf, E. (2020). Novel COVID-19 detection and diagnosis system using IOT based smart helmet. International Journal of Psychosocial Rehabilitation, 24(7), 2296-2303.
6. Praba, B., Kakar, A., & Sharma, A. (2021). IoT based handheld smart Health monitoring system for COVID-19. Systematic Reviews in Pharmacy, 239-242.
7. Ganji, K., & Parimi, S. (2021). ANN model for users’ perception on IOT based smart Healthcare monitoring devices and its impact with the effect of COVID 19. Journal of Science and Technology Policy Management.
8. Choyon, M. M. S., Rahman, M., Kabir, M. M., & Mridha, M. F. (2020, December). IoT based Health Monitoring & Automated Predictive System to Confront COVID-19. In 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) (pp. 189-193). IEEE.
9. Bhardwaj, V., Joshi, R., & Gaur, A. M. (2022). IoT-Based Smart Health Monitoring System for COVID-19. SN Computer Science, 3(2), 1-11.
10. Naik, B. N., Gupta, R., Singh, A., Soni, S. L., & Puri, G. D. (2020). Real-time smart Patient monitoring and assessment amid COVID-19 pandemic–an alternative approach to remote monitoring. Journal of Medical Systems, 44(7), 1-2.
11. Neha G. Relan and Prof. Dharmaraj R. Patil. "Implementation of Network Intrusion Detection System using Variant of Decision Tree Algorithm." In International Conference on Nascent Technologies in the Engineering Field (ICNTE), pp. 4799-7263. IEEE, 2015.
12. Hafsiya, T. H., & Rose, B. (2021, March). An IoT-Cloud Based Health Monitoring Wearable Device for COVID Patients. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 266-269). IEEE.
13. Nandy, S., & Adhikari, M. (2021). Intelligent Health Monitoring System for Detection of Symptomatic/Asymptomatic COVID-19 Patient. IEEE Sensors Journal, 21(18), 20504-20511.
14. Kumar, K., Kumar, N., & Shah, R. (2020). Role of IoT to avoid spreading of COVID-19. International Journal of Intelligent Networks, 1, 32-35.
15. Anjali, K., Anand, R., Prabhu, S. D., & Geethu, R. S. (2021, July). IoT based Smart Healthcare System to Detect and Alert Covid Symptom. In 2021 6th International Conference on Communication and Electronics Systems (ICCES) (pp. 685-692). IEEE.

How to Cite This Article:
R.Yoganapriya, P.Deepthi , Dr.M.Dhinakaran.IoT Based Covid Patient Health Monitoring System. ijetms;7(1):82-87. DOI: 10.46647/ijetms.2023.v07i01.015