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Health Monitoring System in Emergency Using IoT

Chetana Chavan1, *, Manjunath Managuli2, Ramesh Koti3

Corresponding Author:

Chetana Chavan

Affiliation(s):

1 PG Student, KLS GIT, Digital Communication & Networking, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

Email: [email protected]

2 Associate Professor, KLS GIT, Electronics & Communication Engineering, KLS Gogte Institute of Technology, Belagavi, Karnataka, India 

Email: [email protected]

3 Assistant Professor, KLS GIT, Electronics & Communication Engineering, City, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

Email: [email protected]

*Corresponding Author: Chetana Chavan, Email: [email protected]


Abstract:

This work presents the development of a Health Monitoring System using an ESP8266 microcontroller (ESP01), MAX30100 pulse oximeter, LM35 temperature sensor, and an OLED display. The system continuously collects data on vital health parameters, including heart rate (BPM), blood oxygen saturation (SpO2), and temperature. Real-time feedback is provided through an OLED display, and data is periodically transmitted to the Thing Speak platform for remote monitoring. This system offers a user-friendly approach to health monitoring. This technology offers individuals a convenient and accessible means to monitor their health and has the potential to empower proactive health management. Future enhancements may include mobile app integration and additional sensors for comprehensive health monitoring. This system represents a significant step forward in personal health monitoring, fostering proactive health management.

Keywords:

Wi-Fi Module, Sensor, Arduino, LED, Things-to-Speak, Buzzer

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Cite This Paper:

Chetana Chavan, Manjunath Managuli, Ramesh Koti (2024). Health Monitoring System in Emergency Using IoT. Journal of Artificial Intelligence and Systems, 6, 179–187. https://doi.org/10.33969/AIS.2024060112.

References:

[1] Albattah, W.; Khan, R.U.; Alsharekh, M.F.; Khasawneh, S.F. Feature Selection Techniques for Big Data Analytics. Electronics 2022, 11, 3177. https://doi.org/10.3390/electronics11193177.

[2] M. Managuli, A. Deshpande and S. H. Ayatti, "Emergent vehicle tracking system using IR sensor," 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Mysuru, India, 2017, pp. 71-74, doi: 10.1109/ICEECCOT.2017.8284579.

[3] R. Ruman, A. Barua, W. Rahman, K. R. Jahan, M. Jamil Roni and M. F. Rahman, "IoT Based Emergency Health Monitoring System," 2020 International Conference on Industry 4.0 Technology (I4Tech), Pune, India, 2020.

[4] Managuli, Manjunath, and Abhay Deshpande. "Description and identification of soil quality measuring development using uav's and e-nose system." International Journal of Recent Technology and Engineering 8, no. 3 (2019): 3542-3545.

[5] V. J. Pandurangi, M. Managuli, S. Salakhe, S. Bangarshetti and P. N. Kunchur, "Detection & Classification of Electronic Nose System," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2021, pp. 1-4, doi: 10.1109/ICICCS51141.2021.9432248.

[6] K. Su, D. Kundur, and D. Hatzinakos, “Statistical physical properity for collusion-resistant virtual video watermarking,” IEEE Trans. Multimedia, vol.7, no.1, pp. Forty-three-51, Feb.2005.

[7] Managuli, Manjunath, and Abhay Deshpande. "Portrayal and Identification of Soil Quality Measuring Development utilizing Uav's and E-Nose System." International Journal of Recent Technology and Engineering. Vol. 8. No. 3. Elsevier Scopus Index, 2019.

[8] Manjunath Managuli, Abhay Deshpande, “A role of e-nose system information gathering with smart phone”, Materials Today: Proceedings, Volume 43, Part 6, 2021, Pages 3404-3408, https://doi.org/10.1016/j.matpr.2020.09.069.

[9] S. Craver, N. Memon, B. L. Yeo, and M. M. Yeung, “Resolving rightful ownerships with invisible watermarking strategies: Limitations, attacks, and implications,” IEEE J. Sel. Areas Commun., vol. 16, no.4, pp.573- 586, May 1998.

[10] K. Manasa and S. C. Venkateswarlu, "A Wearable Health Monitoring System Using Arduino and IoT," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2021.

[11] K. T. Krishnamurthy, M. Managuli, R. S, K. R. Niranjan, D. Kumar and S. B. Malipatil, "Development of Overflow Prediction and Wall Supervision System for Flood Forecasting," 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), Bengaluru, India, 2022, pp. 121-125, doi: 10.1109/IIHC55949.2022.10060205.