Development of a Sensor-Based Heartbeat and Body Temperature Monitoring System for Remote Chronic Patients

Authors

  • J. O. Obira School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Tanzania https://orcid.org/0000-0002-4276-6034
  • R. Sinde School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Tanzania
Volume: 11 | Issue: 4 | Pages: 7375-7380 | August 2021 | https://doi.org/10.48084/etasr.4216

Abstract

The growing number of chronic diseases have stretched the healthcare sector. Globally, more than 36 million deaths per year are attributed to chronic disease complications. This has increased the demand for telemedicine in managing chronic patients as they must be on continuous monitoring for a long time. The involvement of wireless sensor networks and cloud computing technology in the health sector is increasing due to the potential it possesses in remote sensing and monitoring applications. This paper presents a developed system prototype for monitoring the heartbeat rate and body temperature of chronic patients using sensors. The monitored data are sent to a cloud database in real-time via an internet connection using the ESP8266 wireless module. The approach involves connecting a heart pulse sensor, an MLX90614 contactless temperature sensor, and the ESP8266 module to the Arduino development board. The goal of this work is to create a system that interfaces chronic patients and medical personnel in an attempt to avert the effects of insufficient health facilities, especially in rural Africa. The patient’s data in the cloud database can also be retrieved by medical personnel anytime in order to track the patient’s conditions and to advise the patient accordingly. The sensed heartbeat and body temperature readings were processed, sent, and recorded in the cloud database effectively.

Keywords:

Arduino, sensor networks, ESP8266 module, chronic diseases, pulse oximeter

Downloads

Download data is not yet available.

References

D. Beran, "Health systems and the management of chronic diseases: lessons from Type 1 diabetes," Diabetes Management, vol. 2, no. 4, pp. 323-335, 2012. https://doi.org/10.2217/dmt.12.33

"Chronic conditions prevention and management," Northern Territory Government, Apr. 28, 2021. https://health.nt.gov.au/professionals/chronic-conditions-health-professionals/chronic-conditions-prevention-and-management (accessed Jun. 25, 2021).

"Chronic Diseases in America." CDC's National Center for Chronic Disease Prevention and Health Promotion, 2019.

P. Jha, R. Nugent, S. Verguet, D. Bloom, and R. Hum, Disease Control Priorities in Developing Countries, 3rd ed. 2013.

S. Sherin, R. J. Neethu, M. Yedu, V. R. Anand, and M. J. Jayashree, "Remote Patient Monitoring System," International Journal of Distributed and Parallel Systems, vol. 3, no. 5, pp. 99-110, Sep. 2012. https://doi.org/10.5121/ijdps.2012.3509

P. Kakria, N. K. Tripathi, and P. Kitipawang, "A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors," International Journal of Telemedicine and Applications, vol. 2015, Dec. 2015, Art. no. e373474. https://doi.org/10.1155/2015/373474

M. K. Villareal and A. F. Tongco, "Remote Sensing Techniques for Classification and Mapping of Sugarcane Growth," Engineering, Technology & Applied Science Research, vol. 10, no. 4, pp. 6041-6046, Aug. 2020. https://doi.org/10.48084/etasr.3694

B. F. Alshammari and M. T. Chughtai, "IoT Gas Leakage Detector and Warning Generator," Engineering, Technology & Applied Science Research, vol. 10, no. 4, pp. 6142-6146, Aug. 2020. https://doi.org/10.48084/etasr.3712

N. R. J. Madhu, "IoT based remote patient health monitoring system," M.S. thesis, Kansas State University, Manhattan, KA, USA, 2017.

P. Srinivasan, A. A. Khan, T. Prabu, M. Manoj, M. Ranjan, and K. Karthik, "Heart beat sensor using fingertip through Arduino," Journal of Critical Reviews, vol. 7, no. 7, pp. 1058-1060.

S. ul M. Abbasi, M. Daud, S. Ali, and A. Q. Ansari, "Design of Android-Based Remote Patient Monitoring System," International Journal of Advanced Computer Science and Applications, vol. 9, no. 6, 2018. https://doi.org/10.14569/IJACSA.2018.090627

B. Mallick and A. K. Patro, "Heart rate monitoring system using finger tip through Arduino and processing software," International Journal of Science, Engineering and Technology Research, vol. 5, no. 1, pp. 84-89, Jan. 2016.

S. Rajkumar, M. Srikanth, and N. Ramasubramanian, "Health monitoring system using Raspberry PI," in 2017 International Conference on Big Data, IoT and Data Science (BID), Pune, India, Dec. 2017, pp. 116-119. https://doi.org/10.1109/BID.2017.8336583

"MAX30100 Pulse Oximeter and Heart-Rate Sensor IC for Wearable Health." Maxim Integrated.

S. Pasha, "Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis," International Journal of New Technology and Research, vol. 2, no. 6, pp. 19-23, Jun. 2016.

M. Kamalrudin and S. Sidek, "A Review on Software Requirements Validation and Consistency Management," International Journal of Software Engineering and Its Applications, vol. 9, no. 10, pp. 39-58, Oct. 2015. https://doi.org/10.14257/ijseia.2015.9.10.05

T. Dybå and T. Dingsøyr, "Empirical studies of agile software development: A systematic review," Information and Software Technology, vol. 50, no. 9, pp. 833-859, Aug. 2008. https://doi.org/10.1016/j.infsof.2008.01.006

S. Nidhra and J. Dondeti, "Black Box and White Box Testing Techniques - A Literature Review," International Journal of Embedded Systems and Applications, vol. 2, no. 2, pp. 29-50, 2012. https://doi.org/10.5121/ijesa.2012.2204

M. Sund Levander, "Accuracy when assessing and evaluating body temperature in clinical practice. Time for a change?," in EAT2012 Book of Proceedings, Jan. 2012, vol. Appendix 1, pp. 25-32.

Downloads

How to Cite

[1]
Obira, J.O. and Sinde, R. 2021. Development of a Sensor-Based Heartbeat and Body Temperature Monitoring System for Remote Chronic Patients. Engineering, Technology & Applied Science Research. 11, 4 (Aug. 2021), 7375–7380. DOI:https://doi.org/10.48084/etasr.4216.

Metrics

Abstract Views: 868
PDF Downloads: 604

Metrics Information