Design and development Virtual Doctor Robot for contactless monitoring of patients during COVID-19

  • Amrita Rai Department of Electronics and Communications, GL Bajaj Institute of Technology & Management, Noida, India https://orcid.org/0000-0003-4105-6070
  • Krishanu Kundu Department of Electronics and Communications, GL Bajaj Institute of Technology & Management, Noida, India http://orcid.org/0000-0003-1057-4713
  • Rahul Dev Department of Electronics and Communications, GL Bajaj Institute of Technology & Management, Noida, India https://orcid.org/0000-0002-0286-0050
  • Jayshankar Prasad Keshari Government Engineering College, Sheikhpura, Bihar, India https://orcid.org/0000-0002-8745-0420
  • Dhananjay Gupta Department of Electronics and Communications, GL Bajaj Institute of Technology & Management, Noida, India
Keywords: Virtual Doctor Robot, Internet of Things (IoT), Real-time processing, Humanoid Robot

Abstract

The main objective of this paper is to design and develop a virtual doctor robot (VDR) that will operate on the command of the actual doctor available far away from the patient through new technology AI and IoT. It is not possible for doctors to be present everywhere and every time, especially in remote areas of India during COVID-19. As a result, in an emergency, many patients lose their lives because they couldn’t reach the hospital on time or the doctor couldn’t be available on time. In such a situation, virtual doctor robots play a vital role in healthcare with real-time data processing with machine learning algorithms. In this paper, technological innovation has created new opportunities to enhance doctor services without contact using robots that can assist patients in dealing with their illnesses and providing solutions. Virtual doctor robots can benefit healthcare by satisfying patients with more precise solutions. The virtual doctor robot design presented in this paper can rescue patients in remote areas during any pandemic like COVID-19. Through this virtual doctor robot, the doctors can observe and communicate with the patients through video calls and prescribe necessary medicines through scanner. The proposed  VDR will help the doctors check the patient's pulse, body temperature, heart rate, etc. through different sensors mounted in the robot structure and send that data using the Wi-Fi network. The doctors will use an IoT-based panel to control and monitor the robot and patients. The control commands that are sent by the doctor to the VDR are sent online and the robot controller then receives these commands. The VDR also showcases other functions like alerting the battery status to remind one that the battery needs to be charged. It also stores the data related to diagnosed patients through cloud networking. The framework of VDR is based on an automated vehicle with a four-wheel drive for its movement and communication between the doctor and VDR is in real-time through the internet. This paper also discusses the future trends of Virtual Doctor robots for the health sector, humanoid robots for surgical help, and other activities of the healthcare sector.

References

Abdelaziz, A., Elhoseny, M., Salama, A. S., & Riad, A. M. (2018). A machine learning model for improving healthcare services on cloud computing environment. Measurement, 119, 117-128. https://doi.org/10.1016/j.measurement.2018.01.022

Ali, O., Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review. International Journal of Information Management, 43, 146-158. https://doi.org/10.1016/j.ijinfomgt.2018.07.009

Afanasyev, I., Mazzara, M., Chakraborty, S., Zhuchkov, N., Maksatbek, A., Yesildirek, A., Kassab, M., & Distefano, S. (2019). Towards the internet of robotic things: Analysis, architecture, components and challenges. IEEE, In 2019 12th International Conference on Developments in eSystems Engineering (DeSE), pp. 3-8. https://doi.org/10.1109/DeSE.2019.00011

Akkaş, M. A., Sokullu, R., & Çetin, H. E. (2020). Healthcare and patient monitoring using IoT. Internet of Things, 11, 100173. https://doi.org/10.1016/j.iot.2020.100173

Belle, A., Thiagarajan, R., Soroushmehr, S. M., Navidi, F., Beard, D. A., & Najarian, K. (2015). Big data analytics in healthcare. BioMed Research International, 2015, 370194. https://doi.org/10.1155/2015/370194

Bouchard, K., Liu, P.P., & Tulloch, H. (2022). The Social Robots Are Coming: Preparing for a New Wave of Virtual Care in Cardiovascular Medicine. Circulation, 145(17), 1291-1293. https://doi.org/10.1161/CIRCULATIONAHA.121.057629

Casola, V., Castiglione, A., Choo, K.K.R., & Esposito, C. (2016). Healthcare-related data in the cloud: Challenges and opportunities. IEEE Cloud Computing, 3(6), 10-14. https://doi.org/10.1109/MCC.2016.139

Denecke, K., & Baudoin, C. R. (2022). A review of artificial intelligence and robotics in transformed health ecosystems. Frontiers in Medicine, 9, 795957. https://doi.org/10.3389/fmed.2022.795957

Fortis. (2020). Fortis Hospital, Bannerghatta Road introduces Robot for COVID-19 screening. Available at: https://youtu. be/pv24_19CVT4 (accessed 10 February 2021).

Fu, Y., Lin, W., Yu, X., Rodríguez-Andina, J. J., & Gao, H. (2022). Robot-Assisted Teleoperation Ultrasound System Based on Fusion of Augmented Reality and Predictive Force. IEEE Transactions on Industrial Electronics, 70(7), 7449-7456. https://doi.org/10.1109/TIE.2022.3201322

Gao, J., Yang, Y., Lin, P., & Park, D.S. (2018). Computer vision in healthcare applications. Journal of Healthcare Engineering, 2018, 5157020. https://doi.org/10.1155/2018/5157020

Hayasaki, E. (2020). Covid-19 could accelerate the robot takeover of human jobs. MIT Technology Review, https://www.technologyreview.com/2020/06/17/1003328.

Hornyak, T. (2020). Meet the robots that may be coming to an airport near you. CNBC. https://www.cnbc.com/2020/01/10/meet-the-robots-that-may-be-coming-to-an-airport-near-you.html.

Joseph, A., Christian, B., Abiodun, A.A., & Oyawale, F. (2018). A review on humanoid robotics in healthcare. In MATEC Web of Conferences, EDP Sciences, 153, 02004. https://doi.org/10.1051/matecconf/201815302004

Lee, S.Y., Cha, J.Y., Yoo, J.W., Nazareno, M., Cho, Y.S., Joo, S.Y., & Seo, C. H. (2022). Effect of the application of virtual reality on pain reduction and cerebral blood flow in robot-assisted gait training in burn patients. Journal of Clinical Medicine, 11(13), 3762. https://doi.org/10.3390/jcm11133762

Mezes, C., Klebanoff, J. S., Grebenyuk, E., Gobern, J., Meske, S. W., Amdur, R., & Moawad, G. N. (2022). Virtual postoperative visits following robotic gynecologic surgery: a study of patient satisfaction, safety, and feasibility. Journal of Robotic Surgery, 16(5), 1193-1198. https://doi.org/10.1007/s11701-021-01354-w

Mehta, N., & Pandit, A. (2018). Concurrence of big data analytics and healthcare: A systematic review. International Journal of Medical Informatics, 114, 57-65. https://doi.org/10.1016/j.ijmedinf.2018.03.013

Mukherjee, S., Baral, M.M., Pal, S.K., Chittipaka, V., Roy, R., & Alam, K. (2022). Humanoid robot in healthcare: a systematic review and future research directions. IEEE, In 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 1, 822-826. https://doi.org/10.1109/COM-IT-CON54601.2022.9850577

Ozturkcan, S., & Merdin-Uygur, E. (2022). Humanoid service robots: The future of healthcare?. Journal of Information Technology Teaching Cases, 12(2), 163-169. https://doi.org/10.1177/20438869211003905

Patel, A.R., Patel, R.S., Singh, N.M., & Kazi, F.S. (2017). Vitality of robotics in healthcare industry: an Internet of Things (IoT) perspective. Springer International Publishing AG 2017 C. Bhatt et al. (eds.), Internet of Things and Big Data Technologies for Next Generation Healthcare, Studies in Big Data, 23, 91-109. https://doi.org/10.1007/978-3-319-49736-5_5

Postolache, O., Hemanth, D. J., Alexandre, R., Gupta, D., Geman, O., & Khanna, A. (2020). Remote monitoring of physical rehabilitation of stroke patients using IoT and virtual reality. IEEE Journal on Selected Areas in Communications, 39(2), 562-573. https://doi.org/10.1109/JSAC.2020.3020600

Priya, A., Rai, A., & Singh, R. P. (2021). Internet of things: architecture, applications and future aspects. In Advances in Smart Communication and Imaging Systems: Select Proceedings of MedCom 2020, Springer Singapore, pp. 183-190. https://doi.org/10.1007/978-981-15-9938-5_18

Rahmani, A.M., Gia, T.N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., & Liljeberg, P. (2018). Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Generation Computer Systems, 78, 641-658. https://doi.org/10.1016/j.future.2017.02.014

Rai, A., Sharma, D., Rai, S., Singh, A., & Singh, K. K. (2021). IoT-aided robotics development and applications with AI. In Emergence of Cyber Physical System and IoT in Smart Automation and Robotics: Computer Engineering in Automation, Cham: Springer International Publishing. pp. 1-14. https://doi.org/10.1007/978-3-030-66222-6_1

Rai, A., Singh, R. P., & Jain, N. (2022). Role of IoT in Sustainable Healthcare Systems. Ambient Intelligence and Internet of Things: Convergent Technologies, pp. 215-241. https://doi.org/10.1002/9781119821847.ch7

Rai, A., Agrawal, R., & Karatangi, S.V. (2021). Real time vehicle recognition system for secure environment. IOP Publishing, In Journal of Physics: Conference Series, 2007(1), 012049. https://doi.org/10.1088/1742-6596/2007/1/012049

Rong, G., Mendez, A., Assi, E. B., Zhao, B., & Sawan, M. (2020). Artificial intelligence in healthcare: review and prediction case studies. Engineering, 6(3), 291-301. https://doi.org/10.1016/j.eng.2019.08.015

Rusia, K., Rai, S., Rai, A., & Karatangi, S. V. K. (2021). Artificial intelligence and robotics: impact & open issues of automation in workplace. IEEE, In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 54-59. https://doi.org/10.1109/ICACITE51222.2021.9404749

Published
2023-07-30
How to Cite
Rai, A., Kundu, K., Dev, R., Keshari, J., & Gupta, D. (2023). Design and development Virtual Doctor Robot for contactless monitoring of patients during COVID-19. International Journal of Experimental Research and Review, 31(Spl Volume), 42-50. https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.005