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A Digital Healthcare Monitoring System with Real-Time Analysis

Krishna Sarker*, Koustuv Sarkar**

*-** Department of Electrical and Electronics Engineering. St. Thomas' College of Engineering and Technology, West Bengal, India.

Periodicity:July - September'2024

Abstract

In the contemporary landscape of healthcare, the demand for efficient and proactive monitoring solutions is paramount. Digital healthcare monitoring systems, leveraging cutting-edge technologies such as the Internet of Things (IoT), have emerged as transformative tools in revolutionizing health data collection, analysis and utilization. This paper presents a comprehensive overview of a Digital Healthcare Monitoring System with Real-Time Analysis, aimed at providing continuous, real-time monitoring of vital health parameters through a custom-built mobile application. The system integrates various sensors including the DHT11 for temperature and humidity, the MAX30102 for heart rate and SpO2 and the AD8232 for ECG monitoring, facilitated by the NodeMCU microcontroller. The collected data is processed and transmitted to a mobile application for visualization and analysis in real-time, enabling timely interventions and improved patient outcomes. Key objectives of the system include real-time monitoring, multi-sensor integration, remote accessibility, alerts and notifications, data analytics, user-friendly interface, scalability and interoperability. Through rigorous methodology encompassing hardware and software integration, testing, and calibration, the system ensures accuracy, reliability and user engagement. The initiative underscores the transformative potential of digital health technologies in fostering proactive and personalized healthcare, ultimately leading to better health outcomes and quality of life.

Keywords

Digital Healthcare Monitoring, Real-Time Analysis, Internet of Things (IoT), Sensor Integration, Remote Patient Monitoring, Health Data Analytics, Mobile Health Applications.

How to Cite this Article?

Sarker, K., and Sarkar, K. (2024). A Digital Healthcare Monitoring System with Real-Time Analysis. i-manager’s Journal on Electrical Engineering, 18(1), 26-41.

References

[1]. Abd El-Hamid, A. S., Fetohi, A. E., Amin, R. S., & Hameed, R. A. (2015). Design of digital blood glucose meter based on arduino UNO. International Journal of Software & Hardware Research in Engineering, 3(8), 1-7. F.

[2]. Admin. (2022). IoT Based ECG Monitoring with AD8232 ECG Sensor & ESP32.

[3]. Amjad, O., Bedeer, E., Ali, N. A., & Ikki, S. (2022). Energy efficient resource allocation for ehealth monitoring wireless body area networks with backscatter communication. IEEE Sensors Journal, 22(16), 16638-16651.

[4]. Boulakia, M., Cazeau, S., Fernández, M. A., Gerbeau, J. F., & Zemzemi, N. (2010). Mathematical modeling of electrocardiograms: A numerical study. Annals of Biomedical Engineering, 38, 1071-1097.

[5]. Chhabra, M., & Kalsi, M. (2017). Real Time ECG monitoring system based on Internet of Things (IoT). International Journal of Scientific and Research Publications, 7(8), 547-550.

[6]. Deshpande, U. U., & Kulkarni, M. A. (2017). IOT based real time ECG monitoring system using cypress wiced. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 6(2), 710-720.

[7]. Fernando, E. N. (2016). A survey on android based patient monitoring system. International Conference on Innovations in Engineering and Technology (pp. 384-388).

[8]. Gogate, U., Marathe, M., Mourya, J., & Mohan, N. (2017). Android-based health monitoring system for cardiac patients. International Research Journal of Engineering and Technology (IRJET), 4(4), 1628-1634.

[9]. Gupta, P., & Bisht, A. (2019). IOT based patient health monitoring system using ML. International Journal of Engineering and Advanced Technology, 9(1), 5086-5091.

[10]. Jiang, W., Majumder, S., Kumar, S., Subramaniam, S., Li, X., Khedri, R., & Deen, M. J. (2021). A wearable tele-health system towards monitoring COVID-19 and chronic diseases. IEEE Reviews in Biomedical Engineering, 15, 61-84.

[11]. Kar, P., Chen, K., & Shi, J. (2022). DMACN: A dynamic multi-attribute caching mechanism for NDN-based remote health monitoring system. IEEE Transactions on Computers, 72(5), 1301-1313.

[12]. Kumar, R., & Rajasekaran, M. P. (2016, January). An IoT based patient monitoring system using raspberry Pi. In 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) (pp. 1-4). IEEE.

[13]. Mateo, R. (n.d.). MAX30102 Pulse Oximeter and Heart Rate Sensor with ESP32.

[14]. Nguyen, T. A., Min, D., Choi, E., & Lee, J. W. (2021). Dependability and security quantification of an internet of medical things infrastructure based on cloud-fog-edge continuum for healthcare monitoring using hierarchical models. IEEE Internet of Things Journal, 8(21), 15704-15748.

[15]. Nikhitha, S., & Ahammed, G. F. (2022). IOT based healthcare monitoring using node MCU12E ESP8266. International Research Journal of Modernization in Engineering Technology and Science, 4(8), 2176-2181.

[16]. Pathak, N., Misra, S., Mukherjee, A., & Kumar, N. (2021). HeDI: Healthcare device interoperability for IoT-based e-health platforms. IEEE Internet of Things Journal, 8(23), 16845-16852.

[17]. Pathak, N., Mukherjee, A., & Misra, S. (2022). Sembox: Semantic interoperability in a box for wearable e-health devices. IEEE Journal of Biomedical and Health Informatics, 27(5), 2306-2313.

[18]. Patil, S., & Pardeshi, S. (2018). Health monitoring system using IoT. International Research Journal of Engineering and Technology (IRJET), 5(4), 1678-1682.

[19]. Shelar, M., Singh, J., & Tiwari, M. (2013). Wireless patient health monitoring system. International Journal of Computer Applications, 62(6), 887-975.

[20]. Teja, R. (n.d.). ESP32 DHT11 Tutorial | DHT11 Humidity Temperature Sensor with ESP32.

[21]. Udara, Y., Udara, S., Harish, H. M., & Hadimani, H. C. (2018). Health monitoring system using IoT. International Journal of Engineering and Manufacturing Science, 8(1), 177-182.

[22]. Van Der Zwaag, K. M., Marinho, M. P., Costa, W. D. S., Dos Santos, F. D. A. S., Bastos-Filho, T. F., Rocha, H. R., & Silva, J. A. (2021). A Manchester-OOK visible light communication system for patient monitoring in intensive care units. IEEE Access, 9, 104217-104226.

[23]. Wei, C., & Yue, Z. (2014, June). Design and implementation of remote multiple physiological parameters monitoring system. In 2014 IEEE 5th International Conference on Software Engineering and Service Science (pp. 740-743). IEEE.

[24]. Yadav, G. A., & Patil, S. S. (2017). Raspberry PI based ECG data acquisition system. International Journal of Science and Engineering, (6).

[25]. Yang, Z., Zhou, Q., Lei, L., Zheng, K., & Xiang, W. (2016). An IoT-cloud based wearable ECG monitoring system for smart healthcare. Journal of Medical Systems, 40, 1-11.

[26]. Zhang, Y., Liu, H., Su, X., Jiang, P., & Wei, D. (2015). Remote mobile health monitoring system based on smart phone and browser/server structure. Journal of Healthcare Engineering, 6(4), 717-738.

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