Electronic Infusion Flow Regulator with Occlusion Detection

  • Levana Forra Wakidi Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya
  • Karina Maulidya S. P Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya
  • Maduka Nosike Department of Physics, Federal University Gusau, Nigeria

Abstract

Infusion is one medical equipment that provides several fluids into the body through a needle into a vein to replace fluids or food substances lost from the body. The use of manual infusion to determine the number of drops given to the patient and the calculation manually. The purpose of this research is to design an automatic infusion flow control device equipped with occlusion detection. This module consists of an Arduino Mega 2560, DC motor (stepper NEMA 17), optocoupler module, 4x4 keypad, and TFT. Infusion drops are detected by the optocoupler sensor. The microcontroller will process the detection results and send a DC motor command to move according to the settings entered. The unit of flow rate used in the module is ml/min. After measuring using an IDA calibration device with the Fluke brand type IDA 4 plus on the occlusion parameter, the average time is 41 seconds and the results of the flow rate have the largest deviation of 0.15 ml/min at the time setting of 6 hours and the volume of 500. While the smallest deviation is 0.12 ml /min on setting time 4 hours and volume 500 ml. From the results of measurements that have been carried out, this module is expected to help nurses regulate the infusion. The results in the future this module can be developed again with the appearance of the flow rate results can be directly displayed without having to wait for the drops to stabilize.

Published
Mar 16, 2022
How to Cite
WAKIDI, Levana Forra; MAULIDYA S. P, Karina; NOSIKE, Maduka. Electronic Infusion Flow Regulator with Occlusion Detection. Jurnal Teknokes, [S.l.], v. 15, n. 1, p. 14-20, mar. 2022. ISSN 2407-8964. Available at: <https://teknokes.poltekkesdepkes-sby.ac.id/index.php/Teknokes/article/view/189>. Date accessed: 17 nov. 2024. doi: http://dx.doi.org/10.35882/teknokes.v15i1.3.
Section
Biomedical Engineering