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Research Article
IoT Established Observing Techniques for Life Saving Drug’s Infusion
Boopathy T1
Sasirekha R2
1Department of ECE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College (Autonomous) , Perambalur, TN, India. 2Department of ECE, PG Student, Dhanalakshmi Srinivasan Engineering College (Autonomous) , Perambalur, TN, India.
Published Online: November-December 2022
Pages: 254-259
Cite this article
No DOIReferences
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15–16 July 2016; pp. 77–80.
7. Ramisha, R.K.; Shabana, N.; Tanmayee, P.; Loganathan, S.; Velmathi, G. Smart drip infusion monitoring system for instant alert-
through nRF24L01. In Proceedings of the International Conference on Nextgen Electronic Technologies: Silicon to Software
(ICNETS2), Chennai, India, 23–25 March 2017; pp. 452–455.
8. Cohen, L.; Rose, R.A. Capacitance-Type Fluid Level Sensor for I.V., and Catheter Bags. U.S. Patent No. US5135485, 4 August 1992. 9.
Anand, M.; Pradeep, M.; Manoj, S.; Arockia Raj, L.M.; Thamaraikani, P. Intravenous drip monitoring system. Indo-Iran. J. Sci. Res.
2018, 2, 106–113.
9. Tyagi, S., Agarwal, A., & Maheshwari, P. (2016, January). A conceptual framework for IoT-based healthcare system using cloud
computing. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 503-507). IEEE.
10. Santos, J., Rodrigues, J. J., Silva, B. M., Casal, J., Saleem, K., & Denisov, V. (2016). An IoT-based mobile gateway for intelligent
personal assistants on mobile health environments. Journal of Network and Computer Applications, 71, 194-204.
11. Ni, L. M., ZHANG, Q., TAN, H., LUO, W., & TANG, X. (2013). Smart healthcare: from IoT to cloud computing. SCIENTIA SINICA
Informationis, 43(4), 515- 528.
12. Meystre S. The Current State of Telemonitoring: A Comment on the Literature. Telemed e-Health [Internet]. 2005;11(1):63–9.
Available from: http://www.liebertonline.com/doi/abs/10.1089/tmj.2005.11. 63
2012;86–92.
2. Hindley, G. Infection control in peripheral cannulae. Nurs. Stand. 2004, 18, 37–40.
3. Millam, D.A. Managing complications of i.v. therapy (continuing education credit). Nursing 1988, 18, 34–43.
4. Ajibola, O.O.E.; Sunday, O.O.; Eyehorua, D.O. Development of automated intravenous blood infusion monitoring system using load
cell sensor. J. Appl. Sci. Environ. Manag. 2018, 22, 1557–1561.
5. Shelishiyah, R.; Suma, S.; Reji, J.R.M. A system to prevent blood backflow in intravenous infusions. In Proceedings of the 2nd
International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, 19–20
March 2015; pp. 1–4.
6. Bhavasaar, M.K.; Nithya, M.; Praveena, R.; Bhuvaneswari, N.S.; Kalaiselvi, T. Automated intravenous fluid monitoring and alerting
system. In Proceedings of the IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), Chennai, India,
15–16 July 2016; pp. 77–80.
7. Ramisha, R.K.; Shabana, N.; Tanmayee, P.; Loganathan, S.; Velmathi, G. Smart drip infusion monitoring system for instant alert-
through nRF24L01. In Proceedings of the International Conference on Nextgen Electronic Technologies: Silicon to Software
(ICNETS2), Chennai, India, 23–25 March 2017; pp. 452–455.
8. Cohen, L.; Rose, R.A. Capacitance-Type Fluid Level Sensor for I.V., and Catheter Bags. U.S. Patent No. US5135485, 4 August 1992. 9.
Anand, M.; Pradeep, M.; Manoj, S.; Arockia Raj, L.M.; Thamaraikani, P. Intravenous drip monitoring system. Indo-Iran. J. Sci. Res.
2018, 2, 106–113.
9. Tyagi, S., Agarwal, A., & Maheshwari, P. (2016, January). A conceptual framework for IoT-based healthcare system using cloud
computing. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 503-507). IEEE.
10. Santos, J., Rodrigues, J. J., Silva, B. M., Casal, J., Saleem, K., & Denisov, V. (2016). An IoT-based mobile gateway for intelligent
personal assistants on mobile health environments. Journal of Network and Computer Applications, 71, 194-204.
11. Ni, L. M., ZHANG, Q., TAN, H., LUO, W., & TANG, X. (2013). Smart healthcare: from IoT to cloud computing. SCIENTIA SINICA
Informationis, 43(4), 515- 528.
12. Meystre S. The Current State of Telemonitoring: A Comment on the Literature. Telemed e-Health [Internet]. 2005;11(1):63–9.
Available from: http://www.liebertonline.com/doi/abs/10.1089/tmj.2005.11. 63
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