Development Of Smart Medidoc System For Monitoring Healthcare In Iot Environment

AUTHOR(S)

Dr.S.Ramesh Babu, B.K.Saravanan, P. Arunkumar, S.Syed Hussain

DOI: https://doi.org/10.46647/ijetms.2023.v07i05.063

ABSTRACT
This paper focuses on the design and development of a system to monitor health parameters of the patients using IoT Technology. This system helps to measure patient’s health parameters such as body temperature, pulse rate, oxygen saturation level, weight and height. The design of MEDIDOC system is performed using SOLIDWORKS software. The static structural analysis is performed on the base structure of MEDIDOC system using ANSYS software to evaluate the total deformation, equivalent stress and factor of safety. The results suggested that the structural effect on the base structure due to load is under permissible range. Then, the electronic integration with the system is carried out. The non-contact type sensors are used for all kind of measurements and controlling of various sensors are performed through NodeMCU. The collected data of human health parameters such as height, weight, body temperature, pulse rate and oxygen saturation level are displayed in the LCD screen. Hand dispenser is also incorporated in the system to avoid any kind of cross infection. The measurement data of human can be transmitted to Google sheet with the help of IoT. Hence, physician can access and validate the measurement data at any point of time. The proposed system offers efficient way of examining human health parameters and facilitates the physician to minimize the checkup time compared to conventional approach.
Page No: 505 - 509

References:

Al Alkeem, E., Shehada, D., Yeun, C. Y., Zemerly, M. J., & Hu, J. (2017). New secure healthcare system using cloud of things. Cluster Computing, 20(3), 2211-2229.

Majumder, S., Rahman, M. A., Islam, M. S., & Ghosh, D. (2018, September). Design and implementation of a wireless health monitoring system for remotely located patients. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 86-91). IEEE.

Rahman, M. H., Islam, M. R., & Ahmad, M. (2018, September). Design and Implementation of a Smart Health Band for the Measurement of Blood Pressure, Pulse Rate and Body Temperature. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 156-161). IEEE.

Mansor, H., Meskam, S. S., Zamery, N. S., Rusli, N. Q. A. M., & Akmeliawati, R. (2015, May). Portable heart rate measurement for remote health monitoring system. In 2015 10th Asian Control Conference (ASCC) (pp. 1-5). IEEE.

Rajalakhshmi, S., & Nikilla, S. (2016). Real time health monitoring system using arduino. South Asian Journal of Engineering and Technology, 2(18), 52-6052.

Sahu, M. L., & Kaushal, J. K. (2017). Real time health monitoring system using Arduino and LabVIEW with GSM Technology. In International Seminar on Non-Conventional Energy Sources for Sustainable Development of Rural Areas, International Journal of Advance Engineering & Research Development.

Kamal, N., & Ghosal, P. (2018, December). Three tier architecture for IoT driven health monitoring system using Raspberry Pi. In 2018 IEEE International Symposium on Smart Electronic Systems (iSES)(Formerly iNiS) (pp. 167-170). IEEE.

Ghosh, A. M., Halder, D., & Hossain, S. A. (2016, May). Remote health monitoring system through IoT. In 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) (pp. 921-926). IEEE.

Senthamilarasi, C., Rani, J. J., Vidhya, B., & Aritha, H. (2018). A smart patient health monitoring system using IoT. International Journal of Pure and Applied Mathematics, 119(16), 59-70.

Kim, Y., Lee, S., & Lee, S. (2015). Coexistence of ZigBee-based WBAN and WiFi for health telemonitoring systems. IEEE journal of biomedical and health informatics, 20(1), 222-230.

Bansal, A., Kumar, S., Bajpai, A., Tiwari, V. N., Nayak, M., Venkatesan, S., & Narayanan, R. (2015). Remote health monitoring system for detecting cardiac disorders. IET Systems Biology, 9(6), 309-314.

Al-Hamadi, H., & Chen, R. (2017). Trust-based decision making for health IoT systems. IEEE Internet of Things Journal, 4(5), 1408-1419.

Islam, S. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The internet of things for health care: a comprehensive survey. IEEE access, 3, 678-708.

Jung, S. J., & Chung, W. Y. (2011). Flexible and scalable patient's health monitoring system in 6LoWPAN. Sensor Letters, 9(2), 778-785.

Thwe, H. M., & Tun, H. M. (2015). Patient health monitoring using wireless body area network. International Journal of Scientific & Technology Research, 4(6).

Hashim, F., Mohamad, R., Kassim, M., Suliman, S. I., Anas, N. M., & Bakar, A. Z. A. (2019). Implementation of embedded real-time monitoring temperature and humidity system. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 16(1), 3-6.

How to Cite This Article:
Dr.S.Ramesh Babu, B.K.Saravanan, P. Arunkumar, S.Syed Hussain . ijetms;7(5):505-509. DOI: 10.46647/ijetms.2023.v07i05.063