IoT-Based Smart Health Monitoring System for Efficient Service in the Medical Sector

IoT-Based Smart Health Monitoring System for Efficient Service in the Medical Sector

  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-4
Year of Publication : 2023
Author : Mahedi Hassan, Tuchi Rahman Lata, Nipa Rani, Md. Al- Amin, Md. Al Amin Shak, Likshon mia, Md.Zahidul Islam, Amam Hossain Bagdadee
DOI : 10.14445/22315381/IJETT-V71I4P215

How to Cite?

Mahedi Hassan, Tuchi Rahman Lata, Nipa Rani, Md. Al- Amin, Md. Al Amin Shak, Likshon mia, Md.Zahidul Islam, Amam Hossain Bagdadee , "IoT-Based Smart Health Monitoring System for Efficient Service in the Medical Sector," International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 159-170, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I4P215

Abstract
This paper demonstrates that the IoT-based system in health monitoring is considered to provide better treatment to sick people by improving the healthcare system. This paper offers remote healthcare monitoring systems that are easy to use, and wearable sensors, smartphones, and advanced technologies are rapidly developing. This device can continuously monitor the patient's heart rate, temperature, oxygen saturation, and other fundamental room elements. This project offers a 24-hour monitoring and control tool to check the patient's condition and store the report on a cloud server using a Wi-Fi module for remote communication. This project will be an excellent achievement for the medical sector.

Keywords
IoT, Smart Monitoring, Health, Remote, Communication.

References
[1] Cooey Health, Re-Imagine Healthcare, 2021. [Online].Available: https://www.cooeyhealth.com
[2] Raja Jayaraman, Khaled Salah, and Nelson King, “Improving Opportunities in Healthcare Supply Chain Processes Via the Internet of Things and Blockchain Technology,” International Journal of Healthcare Information Systems and Informatics, vol. 14, no. 2, p. 17, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Temesghen Tekeste Habte et al., IoT for Healthcare, Ultra Low Power ECG Processing System for IoT Devices, Analog Circuits and Signal Processing, pp. 7-12, 2019.
[CrossRef] [Publisher Link]
[4] Marinescu, D., Cloud Computing: Theory and Practice, 2012.
[Google Scholar
[5] Rajkumar Buyya et al., “Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Patan Rizwan, Rajasekhara Babu M, and Suresh K, "Design and Development of Low Investment Smart Hospital Using Internet of Things," Biomedical Research, vol. 28, no. 11, pp. 4979-85, 2017.
[Publisher Link]
[7] K.R. Darshan, and K.R. Anandakumar, “A Comprehensive Review on Usage of Internet of Things (IoT) in Healthcare System,” 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 132-136, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[8] The Number of Connected Devices Globally From 2012 to 2020 According to the Internet of Things (IoT).
[9] Shahjalal et al., “Using Microcontroller Based Solar Power System for Reliable Power Supply,” Journal of Applied and Advanced Research, vol. 7, pp. 18-24, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Md. Manirul Islam, "Development of a Noninvasive Continuous Blood Pressure Measurement and Monitoring System,” Proceedings of the International Conference on ICIEV, pp. 1085-1090, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Xiaohui Liang et al., "Enabling Pervasive Healthcare Through Continuous Remote Health Monitoring," IEEE Wireless Communications, vol. 19, no. 6, pp. 10-18, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Richa et al., “An IoT Based Health Monitoring System Using Arduino Uno,” International Journal Of Engineering Research & Technology, vol. 10, no. 3, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Barera Sarwar et al., “Design and Application of Fuzzy Logic Based Fire Monitoring and Warning Systems for Smart Buildings,” Symmetry, vol. 10, no. 11, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Kashif Hameed et al., “An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks,” Scientific Programming, vol. 2020, pp. 1-15, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Er. Navjot Kaur, and Er. Yadwinder Kaur, “Object Classification Techniques Using Machine Learning Model,” International Journal of Computer Trends and Technology, vol. 18, no. 4, pp. 170-174, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[16] David Gil et al., “Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services,” Sensors, vol. 16, no. 7, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Nasrin Sadat Zarif et al., “A New Hybrid Method of Ipv6 Addressing in the Internet of Things,” 2019 Smart Grid Conference (SGC), pp. 1-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Gonçalo Marques, Nuno Garcia, and Nuno Pombo, A Survey on IOT: Architectures, Elements, Applications, QoS Platforms and Security Concepts, Advances in Mobile Cloud Computing and Big Data in the 5G Era, vol. 22, pp. 115-130, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Gergely Alpár et al., “New Directions in IOT Privacy Using Attribute-Based Authentication,” Proceedings of the ACM International Conference on Computing Frontiers, pp. 461-466, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Jorge Bernal Bernabe et al., “Holistic Privacy-Preserving Identity Management System for the Internet of Things,” Mobile Information Systems, vol. 2017, pp. 1-20, 2017.
[CrossRef] [Google Scholar] [Publisher Link]