SMART Intravenous Infusion Dosing System

Authors(4) :-Prof. S. M. Borate, Wakade Pavan Govind, Waghamode Anjali Sadashiv, Lakade Komal Parshuram

With intravenous (IV) infusion therapy, the patient's vein can be used to administer the infusion fluid. It is used for blood transfusions or to administer drugs directly into the bloodstream. A hospitalized patient has a 60–80% chance of receiving intravenously administered infusion treatment. The describes a smart IV infusion dosage system for remote liquid in an IV bottle detection, signaling, and monitoring. It consists of three layers: sensing and computation (an IV fluid level detection and signaling system, and a system for controlling and stopping infusion flow); communication (a wireless information transfer between the hardware component of the system and the client); and user (monitoring and visualization of IV therapy).real-time reception at a distant place. Because each layer is modular, the entire system can be upgraded. The proposed system notifies medical staff when IV bottles need to be continuously and promptly changed, which can improve the success of IV therapy, particularly in oncology patients. For the cytostatics to work as intended, the IV chemotherapy drip time should be strictly adhered to.

Authors and Affiliations

Prof. S. M. Borate
SPVPS S.B. Patil College of Engineering, Indapur, Pune, India
Wakade Pavan Govind
SPVPS S.B. Patil College of Engineering, Indapur, Pune, India
Waghamode Anjali Sadashiv
SPVPS S.B. Patil College of Engineering, Indapur, Pune, India
Lakade Komal Parshuram
SPVPS S.B. Patil College of Engineering, Indapur, Pune, India

Internet of Things (IoT), wireless intravenous system, intelligent IV infusion dosage system, IV therapy, IV bottle, IV chemotherapy, nurse response time, and remote infusion monitoring system

  1. Mohamed Eltahir Mansour's Low Cost Smart Infusion Pump Year: 2021 | Conference Paper | Publisher: IEEE International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE).
  2. Research News from Fraunhofer-Gesellschaft. 2020; Fraunhofer, Munich, Germany; Safe. IV Therapies in Developing Countries-Reducing Mortality with an Electronically Controlled Infusion Set.
  3.  Kalaiselvi, T., Nithya, M., Praveena, R., Bhuvaneswari, N.S., and Bhavasaar, M.K. automated system for monitoring and warning intravenous fluids. The IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), held in Chennai, India, on July 15–16, 2016.
  4. Loganathan, S., Tanmayee, P., Velmathi, G., Ramisha, R.K. Smart drip infusion monitoring system with nRF24L01 for immediate alerts. 2017 March 23–25, Chennai, India: International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2).
  5. Evangili, S.K.; Raghavendra, R.K. Creation of an intravenous infusion system based on the Internet of Things. in Hitendra, S.T., Sankar, V., Shaik, Eds., Emerging Trends in Electrical, Communications, and Information Technologies: ICECIT 2018; Springer: Singapore, 2020.
  6. Francis, N., John, A., B. Farha, and A. Baby. IoT-based system for monitoring intravenous drips in smart hospitals. 2019 July 5–6, Kannur, Kerala, India, 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
  7. Gaikwad, Yogesh J. "A Review on Self Learning based Methods for Real World Single Image Super Resolution." (2021).
  8. V. Khetani, Y. Gandhi and R. R. Patil, "A Study on Different Sign Language Recognition Techniques," 2021 International Conference on Computing, Communication and Green Engineering (CCGE), Pune, India, 2021, pp. 1-4, doi: 10.1109/CCGE50943.2021.9776399.
  9. Vaddadi, S., Arnepalli, P. R., Thatikonda, R., & Padthe, A. (2022). Effective malware detection approach based on deep learning in Cyber-Physical Systems. International Journal of Computer Science and Information Technology, 14(6), 01-12.
  10. Thatikonda, R., Vaddadi, S.A., Arnepalli, P.R.R. et al. Securing biomedical databases based on fuzzy method through blockchain technology. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08355-x
  11. Rashmi, R. Patil, et al. "Rdpc: Secure cloud storage with deduplication technique." 2020 fourth international conference on I-SMAC (IoT in social, mobile, analytics and cloud)(I-SMAC). IEEE, 2020.
  12. Khetani, V., Gandhi, Y., Bhattacharya, S., Ajani, S. N., & Limkar, S. (2023). Cross-Domain Analysis of ML and DL: Evaluating their Impact in Diverse Domains. International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 253-262.
  13. Khetani, V., Nicholas, J., Bongirwar, A., & Yeole, A. (2014). Securing web accounts using graphical password authentication through watermarking. International Journal of Computer Trends and Technology, 9(6), 269-274.
  14. The authors are Pratim, R.P., Thapa, N., Dash, and De. An innovative IoT-based non-invasive sensor system is used to monitor intravenous fluid levels in real-time for help with e-healthcare. 2019 Circuit World.
  15. R.S.N. Binti and K.L. the creation of an intravenous drip detector using wireless technology. Temerloh Community College Press: Mentakab, Pahang, 2019. In E-Proceedings of the Fourth International Conference on Research in TVET Studies (ICOR-TVET), Pamulang, Indonesia, September 9.
  16. Mentakab, Pahang: Temerloh Community College Press, 2019; pp. 188–193. Ganesh, B.C., Soundari, D.V., Priyadharsini, K., and Dinesh, K.J.R. An innovative system design for monitoring intravenous infusion systems employing ML-AI to improve health monitoring systems. International Journal of Innovation, Technological Exploration, 2020.
  17. Kale, R., Shirkande, S. T., Pawar, R., Chitre, A., Deokate, S. T., Rajput, S. D., & Kumar, J. R. R. (2023). CR System with Efficient Spectrum Sensing and Optimized Handoff Latency to Get Best Quality of Service. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 829-839.
  18. Nagtilak, S., Rai, S., & Kale, R. (2020). Internet of things: A survey on distributed attack detection using deep learning approach. In Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (pp. 157-165). Springer Singapore.
  19. Mane, Deepak, and Aniket Hirve. "Study of various approaches in machine translation for Sanskrit language." International Journal of Advancements in Research & Technology 2.4 (2013): 383.
  20. Shivadekar, S., Kataria, B., Limkar, S. et al. Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08709-5
  21. Shivadekar, Samit, et al. "Deep Learning Based Image Classification of Lungs Radiography for Detecting COVID-19 using a Deep CNN and ResNet 50." International Journal of Intelligent Systems and Applications in Engineering 11.1s (2023): 241-250.
  22. Yonezawa, Y., Tsukamoto, S., Maki, H., Amano, H., Ogawa, H., and Caldwell, W.M. a Bluetooth-based remote drip infusion monitoring system. In the proceedings of the IEEE Engineering in Medicine and Biology Society's annual international conference, held in San Diego, California, USA, 28 August–1 September 2012.
  23.  Vijaysinh U. Bansude, (2016).“ Fingerprint Based Security System For Banks.” International Research Journal of Engineering and Technology (IRJET),1907-1911.

Publication Details

Published in : Volume 10 | Issue 6 | November-December 2023
Date of Publication : 2023-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 46-51
Manuscript Number : IJSRSET2310564
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prof. S. M. Borate, Wakade Pavan Govind, Waghamode Anjali Sadashiv, Lakade Komal Parshuram, " SMART Intravenous Infusion Dosing System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 6, pp.46-51, November-December-2023. Journal URL : https://res.ijsrset.com/IJSRSET2310564
PDF