ADVANCED IOT-BASED ANESTHESIA MANAGEMENT SYSTEM WITH REMOTE MONITORING AND CONTROLLING

Authors

  • Karthikeya Rajkumar
  • Gayathri Rajkumar
  • Gowriswari S

DOI:

https://doi.org/10.29284/ijasis.9.2.2023.46-54

Keywords:

Anesthesia management system, remote monitoring, raspberry pi, cloud integration, real-time data acquisition.

Abstract

: In this paper, an efficient system based on the Internet of Things (IoT) which allows for remote monitoring and controlling through Raspberry Pi, to improve the delivery of anesthetic in clinical settings is presented. This method permits real-time monitoring and smooth remote control of anesthetic equipment by using the IoT capabilities and the adaptability of Raspberry Pi. The Raspberry Pi serves as a hub, communicating with the rest of the anesthetic machine and aggregating data from a wide range of sensors. Anesthesia parameters, real-time data visualization, and crucial alert notifications may all be accessed by medical staff through online or mobile apps, thanks to the system's secure cloud interface. The ease of use, confidentiality of patient information, and conformity with applicable laws and regulations are prioritized to guarantee that only authorized individuals have access to medical equipment. Due to its proven dependability and safety, the system is a vital tool for today's hospitals, helping to improve both patient outcomes and doctors' efficiency.

Downloads

Download data is not yet available.

References

B. Pradhan, S. Bhattacharyya, and K. Pal, "IoT-based applications in healthcare devices," Journal of Healthcare Engineering, 2021, pp. 1-18.

N. Kumar, S. Panda, P. Pradhan, and R. Kaushal, "IoT based hybrid system for patient monitoring and medication," EAI Endorsed Transactions on Pervasive Health and Technology, vol. 5, no. 19, 2019, pp. 1-8.

N. Kumar, S. N. Panda, P. Pradhan, and R. Kaushal, "IoT based E-critical care unit for patients in-transit," Indian Journal of Public Health Research & Development, vol. 10, no. 3, 2019, pp. 46-50.

F. Stradolini, A. Tuoheti, T. Kilic, S. L. Ntella, N. Tamburrano, Z. Huang, ... & S. Carrara, "An IoT solution for online monitoring of anesthetics in human serum based on an integrated fluidic bioelectronic system," IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no. 5, 2018, pp. 1056-1064.

S. Amendola, R. Lodato, S. Manzari, C. Occhiuzzi, and G. Marrocco, "RFID technology for IoT-based personal healthcare in smart spaces," IEEE Internet of Things Journal, vol. 1, no. 2, 2014, pp. 144-152.

H. A. Khan, R. Abdulla, S. K. Selvaperumal, and A. Bathich, "IoT based on secure personal healthcare using RFID technology and steganography," International Journal of Electrical and Computer Engineering, vol. 11, no. 4, 2021, pp. 3300-3309.

D. Sahu, B. Pradhan, A. Khasnobish, S. Verma, D. Kim, and K. Pal, "The internet of things in geriatric healthcare," Journal of Healthcare Engineering, vol. 2021, 2021, pp. 1-16.

D. F. Morais, G. Fernandes Jr, G. D. Lima, and J. J. Rodrigues, "IoT-Based Wearable and Smart Health Device Solutions for Capnography: Analysis and Perspectives," Electronics, vol. 12, no. 5, 2023, pp. 1-9.

L. R. Yeh, W. C. Chen, H. Y. Chan, N. H. Lu, C. Y. Wang, W. H. Twan, & T. B. Chen, "Integrating ECG monitoring and classification via IoT and deep neural networks," Biosensors, vol. 11, no. 6, 2021, pp. 1-7.

Z. J. Tan, R. J. Y. King, A. A. H. A. Sabri, N. S. Mohd-Rafee, N. A. Junizan, and W. A. F. W. Othman, "IoT-based intelligent medication dose calculator for kids in Drugstore," International Journal of Engineering Creativity & Innovation, vol. 1, no. 2, 2019, pp. 15-29.

R. Khattar, S. B. Srinivas, A. Sharmila, and S. Balaganapathy, "Non-Invasive IoT-Based Anaesthesia Control System," Innovations in Power and Advanced Computing Technologies, 2021, pp. 1-6.

A. S. Raikar, P. Kumar, G. V. S. Raikar, and S. N. Somnache, "Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review," Applied System Innovation, vol. 6, no. 4, 2023, pp. 1-10.

A. Shamayleh, M. Awad, and J. Farhat, "IoT based predictive maintenance management of medical equipment," Journal of Medical Systems, vol. 44, 2020, pp. 1-12.

C. Patrone, A. Khodabakhsh, M. Lattuada, and R. Revetria, "Internet of things application in the healthcare sector," World Congress on Engineering and Computer Science, 2018, pp. 1-7.

J. Li, Y. Zhang, W. Gu, T. Wang, and Y. Zhou, "Diagnosis, management, and prevention of malfunctions in anesthesia machines," Technology and Health Care, 2023, pp. 1-8.

Downloads

Published

2023-12-30

Issue

Section

Articles

How to Cite

[1]
Karthikeya Rajkumar, Gayathri Rajkumar, and Gowriswari S, “ADVANCED IOT-BASED ANESTHESIA MANAGEMENT SYSTEM WITH REMOTE MONITORING AND CONTROLLING”, IJASIS, vol. 9, no. 2, pp. 46–54, Dec. 2023, doi: 10.29284/ijasis.9.2.2023.46-54.