Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display

  • Wafiq Nur Azizah Departement of Medical Electronic Engineering Technology, Poltekkes Kemenkes Surabaya
  • Triana Rahmawati Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Jl. Pucang Jajar Timur No. 10, Surabaya, 60245, Indonesia
  • Syaifudin Syaifudin Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Jl. Pucang Jajar Timur No. 10, Surabaya, 60245, Indonesia
Keywords: Calibration,Flowrate, Real Time, Photodiode Infrared


The use of infusion is crucial for patient healing. Infusion refers to a fluid that consists of drugs, nutrients, and hydration delivered continuously into the patient's bloodstream over a specific period. One of the types of infusion devices is the infusion pump and syringe pump. These devices play a vital role in accurately and precisely controlling the volume or flow rate of fluids. However, continuous usage of these devices can sometimes result in inaccurate measurements, which can affect their overall accuracy. The accuracy of these devices is crucial for proper dosage administration to patients, particularly in critical situations. Therefore, it is necessary to periodically calibrate healthcare devices, at least once a year, as specified in Ministry of Health Regulation No. 54 of 2015. Calibration is an activity performed to determine the true value of a device. The objective of this study is to develop an Infusion Device Analyzer (IDA) with a TFT LCD display that showcases graphical representations of flow rate parameters. By analyzing the calculation of flow rate values using Infrared Photodiode sensors, the stability of the flow rate graph can be observed on a 7-inch TFT LCD display. The measurement involved the use of two different brands of syringe pumps and two different brands of infusion pumps. The results were presented in real-time on the 7-inch TFT LCD display, both in graphical and numerical formats. Additionally, the data was transmitted via Bluetooth to a PC, allowing the graph to be simultaneously displayed in a Delphi program.The measurement results revealed performance errors when using the Terumo Syringe Pump with Terumo syringes in Channel 1, with values of 0.45% (10 ml/h), 0.72% (50 ml/h), and 0.40% (100 ml/h). In Channel 2, the errors were 0.32% (10 ml/h), 0.40% (50 ml/h), and 0.32% (100 ml/h). When using the B-Braun Syringe Pump with B-Braun syringes, Channel 1 exhibited errors of 0.45% (10 ml/h), 0.7% (50 ml/h), and 0.85% (100 ml/h), while Channel 2 had errors of 0.8% (10 ml/h), 0.3% (50 ml/h), and 1% (100 ml/h). In the case of the Terumo Infusion Pump with Terumo Infusion Sets, Channel 1 showed errors of 0.4% (10 ml/h), 0.5% (50 ml/h), and 0.45% (100 ml/h), and Channel 2 exhibited errors of 0.32% (10 ml/h), 0.4% (50 ml/h), and 0.72% (100 ml/h). Lastly, when using the B-Braun Infusion Pump with B-Braun Infusion Sets, Channel 1 had errors of 0.72% (10 ml/h), 1% (50 ml/h), and 1,2% (100 ml/h), while Channel 2 displayed errors of 0.8% (10 ml/h), 0.72% (50 ml/h), and 0,4% (100 ml/h).
INDEX TERMS Infrared Photodiode Sensor, Calibration, Real Time, Flow Rate.


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M. A. Khan, S. Tehami, and O. Mazhar, “Designing of microcontroller based Syringe Pump with variable and low delivery rates for the administration of small volumes,” in 2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging, SIITME 2015, 2015, pp. 135–138, doi: 10.1109/SIITME.2015.7342311.

X. Wang, H. Zhou, and Y. Song, “Infrared infusion monitor based on data dimensionality reduction and logistics classifier,” Processes, vol. 8, no. 4, 2020, doi: 10.3390/PR8040437.

B. Wijayanto, A. Hermawan, and L. Marlinda, “Journal of Computer Networks , Architecture and High Performance Computing Automated Infusion Monitoring Device Using Arduino-Based IoT ( Internet of Things ) Journal of Computer Networks , Architecture and High Performance Computing,” vol. 5, no. 2, pp. 590–598, 2023.

M. Yamin, S. A. Habir, W. O. S. Nur Alam, and L. Surimi, “Smart Infusion and Web Based Monitoring Infusion Fluids in Isolation Room Based on Fuzzy Logic,” J. Phys. Conf. Ser., vol. 2111, no. 1, 2021, doi: 10.1088/1742-6596/2111/1/012056.

H. Firdaus, B. G. Irianto, Sumber, and J. Lu, “Analysis of the Drop Sensors Accuracy in Central Peristaltic Infusion Monitoring Displayed on PC Based Wireless (TCRT5000 Drop Sensor),” J. Electron. Electromed. Eng. Med. Informatics, vol. 4, no. 1, pp. 42–49, 2022, doi: 10.35882/jeeemi.v4i1.5.

M. I. Ali, “Designing a Low-Cost and Portable Infusion Pump,” 2019, doi: 10.1109/ICEEST48626.2019.8981680.

N. Sholihah, A. Kholiq, and S. Sumber, “Monitoring Infusion Pump Via Wireless (Occlusion part),” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 2, no. 1, pp. 34–41, 2020, doi: 10.35882/ijeeemi.v2i1.7.

H. ElKheshen, I. Deni, A. Baalbaky, M. Dib, L. Hamawy, and M. A. Ali, “Semi-Automated Self-Monitore - Syringe Infusion Pump,” in 2018 International Conference on Computer and Applications (ICCA), Aug. 2018, pp. 331–335, doi: 10.1109/COMAPP.2018.8460462.

N. Thongpance, Y. Pititeeraphab, and M. Ophasphanichayakul, “The design and construction of infusion pump calibrator,” in 5th 2012 Biomedical Engineering International Conference, BMEiCON 2012, 2012, vol. 100, pp. 3–5, doi: 10.1109/BMEiCon.2012.6465429.

Yudistira Marsya Puvindra, Arief Marwanto, Eka Nuryanto Budisusila, and V. Abdullayev, “Enhancement Drip Dose Infusion Accuracy Based on Optocoupler and Microcontroller Sensor,” Int. J. Adv. Heal. Sci. Technol., vol. 2, no. 4, pp. 267–273, 2022, doi: 10.35882/ijahst.v2i4.135.

S. K. Gupta, “Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11,” no. May, 2022, doi: 10.35882/ijeeemi.v4i2.2.

Y. Pertiwi, N. Hadziqoh, R. Mulyadi, R. F. Surakusumah, and T. Y. Ovtaria, “Analysis infusion pump calibration results merk terumo type te-112 1,” pp. 136–145.

J. M. Rothschild et al., “A controlled trial of smart infusion pumps to improve medication safety in critically ill patients*,” vol. 33, no. 3, pp. 533–540, 2005, doi: 10.1097/01.CCM.0000155912.73313.CD.

N. Jannah, S. Syaifudin, L. Soetjiatie, and M. Irfan Ali, “Simple and Low Cost Design of Infusion Device Analyzer Based on Arduino,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 2, no. 2, pp. 80–86, 2020, doi: 10.35882/ijeeemi.v2i2.4.

L. Gurbeta, B. Alic, Z. Dzemic, and A. Badnjevic, “Testing of infusion pumps in healthcare institutions in Bosnia and Herzegovina,” pp. 390–391, doi: 10.1007/978-981-10-5122-7.

F. Liu et al., “Calibration of Infusion Pumps Analyser,” 2018, doi: 10.1088/1742-6596/1065/9/092003.

B. Jung et al., “Efficacy evaluation of syringe pump developed for continuous drug infusion,” vol. 16, no. 4, pp. 303–307, 2016.

N. Thongpance and K. Roongprasert, “Design and construction of infusion device analyzer,” 2014, doi: 10.1109/BMEiCON.2014.7017377.

N. H. Ahniar, Hendra Marwazi, and Rismarini Yufita, “Comparison of Flowrate and Occlusion in a Vertical Infusion Pump and Horizontal Infusion Pump,” J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 1, pp. 1–6, 2020, doi: 10.35882/jeeemi.v2i1.1.

S. Syaifudin, M. Ridha Mak’ruf, S. Luthfiyah, and S. Sumber, “Design of Two Channel Infusion Pump Analyzer Using Photo Diode Detector,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 3, no. 2, pp. 65–69, 2021, doi: 10.35882/ijeeemi.v3i2.5.

A. P. Pudji, A. M. Maghfiroh, and N. Thongpance, “Design an Infusion Device Analyzer with Flow Rate Parameters using Photodiode Sensor,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 3, no. 2, pp. 39–44, 2021, doi: 10.35882/ijeeemi.v3i2.1.

A. M. Maghfiroh, N. Havilda, and S. Das, “Development of Infusion Device Analyzer Equipped with Occlusion Detection and a Real-Time Parameters Monitoring on Computer System,” J. Teknokes, vol. 15, no. 1, pp. 21–27, 2022, doi: 10.35882/teknokes.v15i1.4.

A. R. Astuti, P. Studi, D. Iv, J. T. Elektromedik, and P. K. Kemenkes, “Accuracy Analysis Infrared Photodiode sensor against Infusion Sets Show TFT,” 2022, [Online]. Available:

D. Rj. M.Deepalakshmi1, “Design and Implementation of a Lowcost Integrated,” Int. Conf. Comput. Power, Energy Inf. Commun., pp. 25–32, 2016, doi: 10.1109/ICCPEIC.2016.7557218.

M. Safitri, H. Da Fonseca, and E. Loniza, “Short text message based infusion fluid level monitoring system,” J. Robot. Control, vol. 2, no. 2, pp. 60–64, 2021, doi: 10.18196/jrc.2253.

How to Cite
W. N. Azizah, T. Rahmawati, and S. Syaifudin, “Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display”,, vol. 5, no. 3, pp. 165-174, Aug. 2023.
Research Article