Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems

Year : 2024 | Volume :14 | Issue : 03 | Page : 13-23
By
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Priya Bansala,

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Aditi Parsanaa,

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Kittu Patela,

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Rizwan H. Alada,

  1. Student, Department of Electronics & Communication Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India
  2. Student, Department of Electronics & Communication Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India
  3. Student, Department of Electronics & Communication Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India
  4. Professor, Department of Electronics & Communication Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_130627’);});Edit Abstract & Keyword

The design and development of a Virtual Doctor Robot (VDR) using Internet of Things technology is presented in this study with the goal of facilitating remote medical assistance. In light of the constraints associated with physical presence, especially in underprivileged areas like isolated parts of India during the COVID-19 pandemic, videoconferencing (VDR) is a viable means of bridging the gap between patients and physicians. The VDR makes accurate diagnostic and treatment suggestions possible by utilizing machine learning algorithms and real-time data processing. Important features include the ability to monitor vital signs using integrated sensors, communicate via video chats, and see patients remotely. Doctors can connect with patients and the robot seamlessly thanks to an IoT-based panel that facilitates control and monitoring. The VDR also has cloud-based patient record data storage and notifications regarding battery status. The doctor and the robot can communicate continuously thanks to real-time internet access, and the VDR’s four-wheel drive autonomous vehicle architecture guarantees effective mobility. The study also addresses future trends, such as the possible use of humanoid robots to assist with surgery and other developments in the healthcare industry. The robot also features a controller box for circuits along with security camera. Patients are observed via the camera. The NODEMCU (esp-8266), L298N motor driver, DC motors, temperature sensor, and pulse oximeter are the necessary hardware components. The robot controller receives the internet directions. The robot controller is connected to the internet via Wi-Fi. Real-time instructions are received, and the robot motors are controlled to carry out the required movement commands. IoT and microcontrollers are used to monitor and control the entire system.

Keywords: VDR, IoT, NODEMCU, L298n motor driver, DC motors, temperature sensor, pulse oximeter

[This article belongs to Journal of Instrumentation Technology & Innovations (joiti)]

How to cite this article:
Priya Bansala, Aditi Parsanaa, Kittu Patela, Rizwan H. Alada. Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems. Journal of Instrumentation Technology & Innovations. 2024; 14(03):13-23.
How to cite this URL:
Priya Bansala, Aditi Parsanaa, Kittu Patela, Rizwan H. Alada. Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems. Journal of Instrumentation Technology & Innovations. 2024; 14(03):13-23. Available from: https://journals.stmjournals.com/joiti/article=2024/view=0

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References
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  1. Bappi SI, Ahmed T, Ashrafi KM, Alam MS. Design and Development of a Medical Assistant Robot for Hospitals: An Approach with IoT-Powered Physiological Monitoring and Patient Interaction. In 2023 IEEE 10th International Conference on Electrical and Electronics Engineering (ICEEE). 2023 May 8; 219–223.
  2. Ganesh D, Seshadri G, Sokkanarayanan S, Bose P, Rajan S, Sathiyanarayanan M. AutoImpilo: smart automated health machine using IoT to improve telemedicine and telehealth. In 2020 IEEE International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE). 2020 Oct 9; 487–493.
  3. Fatima Alshehri, Ghulam Muhammad. A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare. IEEEAccess. 2021; 9: 3660–3678.
  4. Singh NM, Kazi F, Patel A. Internet of Things and Big Data Technologies for Next Generation Healthcare. In: Internet of Things and Big Data Technologies for Next Generation Healthcare. Germany: Springer; 2017. p. 91–109.
  5. Hossain MA, Hossain ME. IoT based medical Assistant robot (Docto-Bot). Int J Electr Comput Eng. 2021;101–103.
  6. Hamim M, Paul S, Hoque SI, Rahman MN, Baqee IA. IoT based remote health monitoring system for patients and elderly people. In 2019 IEEE International conference on robotics, electrical and signal processing techniques (ICREST). 2019 Jan 10; 533–538.
  7. Kashif Hameed, Imran Sarwar Bajwa. An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks. Sci Program. 2020; 2020:8836927(15p).
  8. Chaudhari A, Thakur J, Mhatre P. Prototype for Quadruped Robot Using Iot to Deliver Medicines and Essentials to Covid-19 Patient. International Journal of Advanced Research in Engineering and Technology (IJARET). 2021 May; 12(5): 147–155.
  9. Itamir De Morais Barroca Filho, Gibeon Aquino, Ramon Malaquias. An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak. IEEEAccess. 2021; 9: 27262–27277.
  10. Divya Ganesh, Gayathri Seshadri, Sumathi Sokkanarayanan. Automatic Health Machine for COVID-19 and Other Emergencies. 13th IEEE International conference on communication system and networks. 2021; 685–689.
  11. Bhunia PK, Mondal P, De M, Chatterjee S. An IoT based Remote Intelligent Health Monitoring and Management System for Mankind During COVID-19 Situation. Int J Eng Res Technol. 2021; 9(11): 255–257.
  12. Fu H, Li H, Ramayah T, Fu A, Jabbar AH, Abed AM. Effects of Internet of things (IoT) on performance of agricultural in China: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2022 Sep 14; 44(3): 6466–82.
  13. Bouchard B, Nadeau DF, Domine F, Anctil F, Jonas T, Tremblay É. How does a warm and low-snow winter impact the snow cover dynamics in a humid and discontinuous boreal forest? Insights from observations and modeling in eastern Canada. Hydrol Earth Syst Sci. 2024 Jun 27; 28(12): 2745–65.
  14. Lee HS, Noh B, Kong SU, Hwang YH, Cho HE, Jeon Y, Choi KC. Fiber-based quantum-dot pulse oximetry for wearable health monitoring with high wavelength selectivity and photoplethysmogram sensitivity. Npj Flex Electron. 2023 Mar 17; 7(1): 15.
  15. Al-Humairi SN, Yih AE, Daud RJ. Design and Development of an IoT Virtual Doctor Robot (IVDR) for the Hospital Station. In 2022 IEEE 10th Conference on Systems, Process & Control (ICSPC). 2022 Dec 17; 1–6.
  16. Rai HM, Shukla KK, Goya Y, Amanzholova S, Nessibely A. IoT-based real-time monitoring and control system for tomato cultivation. Procedia Comput Sci. 2024 Jan 1; 241: 433–8.
Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 05/09/2024
Accepted 10/09/2024
Published 20/09/2024
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