Smart Saline Bottle for Remote Patient Monitoring using Iot

Dr.Karunakar  Pothuganti

doi:10.17605/cajmns.v2i6.490

Dr.Karunakar Pothuganti Assistant Professor, Computer science Engineering. Mai Nefhi College of Engineering, Eritrea

DOI: https://doi.org/10.17605/cajmns.v2i6.490

Keywords: Arduino controller, LEDs, Blynk, IoT, Saline bottle

Abstract

As the total populace is expanding, the need for well-being anticipation is likewise expanding step by step. Thus, everybody in this world must deal with their well-being appropriately. In these new years, there is a fast advancement in clinical consideration due to the innovative headways in the different fields of sensors, micro-controllers, and PCs for guaranteeing quick recuperation of patients in the medical clinics. The significant and principal prerequisite of the hospitalized patients is that each persistent ought to be given a superior treatment and perception and be provided the right measure of essential nutrition at the right time. The Healthcare area with imaginative strategies has gotten effortless everyday life. Computerization of the saline system is the need of emergency clinics. Saline is something fundamental utilized in each emergency clinic to convey drugs to the patient to fix them. At whatever point saline is taken care of to the patient, medical attendants and overseers have to screen it because of distractedness of attendants towards saline or absence of patient to nurture proportion in the medical clinic causing aeroembolism, which may lead to heart attack, respiratory failure.

References

1. S.Umchid, P.Kongsomboom, and M. Buttongdee,” Design and Development of a Monitoring System for Saline Administration,”Proceedings of the World Congress on Engineering I, 2018.
2. D.Baviskar, P.Patil, S.Bhatambre, M.Hake, and S.Adsure, “IoT BASED SALINE LEVEL MONITORING SYSTEM, “Open access international journal of science,10.1088/1757-899X/981/3/032095.
3. Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
4. Vivek Thoutam, “Physical Design, Origins And Applications Of lot”, Journal of Multidisciplinary Cases, Vol 01 , No 01 , Aug-Sept 2021
5. Ankit Narendrakumar Soni (2019). Spatical Context Based Satellite Image Classification-Review. International Journal of Scientific Research and Engineering Development, 2(6), 861-868.
6. I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 723-727, doi: 10.1109/ICOSEC49089.2020.9215282.
7. Vivek Thoutam, “A Study On Python Web Application Framework”, “Journal of E1ectronics, Computer Networking and Applied mathematics”, Vol 01 , No 01, Aug-Sept 2021
8. sridevi Balne, Anupriya Elumalai, Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review, Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.05.499.
9. V. D. Soni and A. N. Soni , “Cervical cancer diagnosis using convolution neural network with conditional random field, ” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021,pp 1746-1751.
10. A.Dharmale, R.Mehare, A.Bharti, S.Meshram, and S.Deshmukh,” IoT Based Saline Level Monitoring & Automatic Alert System,” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 8( 4), 2019.
11. Ankit Narendrakumar Soni (2019). Crack Detection in buildings using convolutional neural Network. JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE, 2(6), 54-59.
12. T. Zebin and S. Rezvy, “COVID-19 detection and disease progression visualization: deep learning on chest X-rays for classification and coarse localization,” Applied Intelligence, 2020.
13. Ankit Narendrakumar Soni (2018). Application and Analysis of Transfer Learning-Survey. International Journal of Scientific Research and Engineering Development, 1(2), 272-278.
14. Vivek Thoutam, “An Overview On The Reference Model And Stages Of lot Architecture”, “Journal of Artificial Intelligence, Machine Learning and Neural Network”, Vol 01, No 01, Aug-Sept 2021
15. R Alugubelli, “DATA MINING AND ANALYTICS FRAMEWORK FOR HEALTHCARE”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.534-546, February 2018, Available at : http://www.ijcrt.org/papers/IJCRT1134096.pdf
16. D.Ramya and Md.A.Hussain,” A Light Weight Secured and Efficient Health Monitoring System Implemented Over IOT Based Networks,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (6), 2019.
17. P.Gope and T. Hwang, “BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network,” IEEE Sensors journal 16(5), 1368-1376, 2016.