A Novel Approach of Controlling Stoppage of Drip Infusion Using Image Processing on Raspberry PI Platform | [Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences • 2021]

Author(s):

1. Hartono Pranjoto: Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University,Jl. Kalisari Selatan No.1, Surabaya 60112, Indonesia, Surabaya,Indonesia

2. Lanny Agustine: Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University,Jl. Kalisari Selatan No.1, Surabaya 60112, Indonesia, Surabaya,Indonesia

3. Diana Lestariningsih: Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University,Jl. Kalisari Selatan No.1, Surabaya 60112, Indonesia, Surabaya,Indonesia

4. Yesiana Dwi Wahyu Werdani: Faculty of Nursing, Widya Mandala Catholic University Surabaya,Indonesia

5. Widya Andyardja: Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University,Jl. Kalisari Selatan No.1, Surabaya 60112, Indonesia, Surabaya,Indonesia

6. Jose Maria Leao Filipe: Department of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University,Jl. Kalisari Selatan No.1, Surabaya 60112, Indonesia, Surabaya,Indonesia

7. Manar Fayiz Mousa Atoum: Department of Medical Laboratory Science, Faculty of Applied Health Science, The Hashemite University,PO Box 330127, 13133 Zarqa,Jordan

8. Abubakar Yaro: Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, SPBBS, 161 Cathedral St, Glasgow G4 0RE, Scotland, United Kingdom; Dr Yaro Laboratory & AHRO Institute of Health Sciences and Research, 272 Bath Street, Glasgow, Scotland, G2 4JR, United Kingdom

Abstract:

Intravenous drip difusion is a common practice to treat patients in hospitals. During treatment, nurses must check the condition of the infusion bag frequently before running out of fluid. This research proposes a novel method of checking the infusion bag using an image processing technique on a compact Raspberry PI platform. The infusion monitoring system proposed here is based solely on capturing the image of the infusion bag and the accompanying bag/ tube. When the infusion fluid enters the patient, the surface of the liquid will decrease, and at the end will reach the bottom of the infusion bag. When the image of the fluid surface touches the bottom of the infusion bag, a mechanism will trigger a relay, and then activate a pinch valve to stop the flow of the infusion fluid before it runs out. The entire system incorporates a digital camera and Raspberry as the image processor. The surface of the liquid is determined using the Canny Edge Detection algorithm, and its relative position in the tube is determined using the Hough Line Transform. The raw picture of the infusion bag and the processed image are then sent via a wireless network to become part of a larger system and can be monitored via a simple smartphone equipped with the proper application, thus becoming an Internet of Things (IoT). With this approach, nurses can carry on other tasks in caring for the patients while this system substitutes some work on checking the infusion fluid.

Page(s): 65-72

DOI: DOI not available

Published: Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 58, Issue: S, Year: 2021

Keywords:

Internet of Things , Health care , Canny Edge Detection , Infusion Control , Hough Line Transform

References:

References are not available for this document.

Citations

Citations are not available for this document.

Citations

Downloads

Views