The Performance Analysis of the Infrared Photodiode Sensor to Infusion Set on Infusion Device Analyzer Machine

Anisa Rahma  Astuti; Syaifudin; Triana  Rahmawati; Khongdet  Phasinam

doi:10.35882/jeeemi.v5i1.274

Anisa Rahma Astuti Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, INDONESIA
Syaifudin Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, INDONESIA
Triana Rahmawati Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, INDONESIA
Khongdet Phasinam Pibulsongkram Rajabhat University https://orcid.org/0000-0002-5795-9779

DOI: https://doi.org/10.35882/jeeemi.v5i1.274

Keywords: Calibration, Flowrate,Infusion Pump,Syringe Pump

Abstract

Infusion pumps and syringe pumps are devices used to administer liquid medicines to patients. The frequency of using the infusion pump and syringe pump in the long term will affect the accuracy of the tool. Accuracy is very important in dosing to patients in critical conditions who require intensive care to prevent fluid balance in the body. Therefore, periodic calibration of medical devices is required at least once a year. Calibration according to Permenkes No. 54 of 2015 is a calibration activity to determine the correctness of a tool. The purpose of this research is to make an Infusion Device Analyzer (IDA) with a TFT LCD displaying a graph of flowrate parameters. The method used is to analyze the flowrate value using an infrared photodiode sensor and can see the stability of the flowrate graph on a 7-inch TFT LCD from the use of 2 brands of syringes and an infusion set. The results obtained can be stored on the SD Card. The measurement results show that the error in the performance of the syringe and infusion pump read by the module on Channel 1 with the Terumo syringe is 0.15 (10 ml/h), 0.1 (50ml/h) and 0.03 (100ml/h). . On Channel 2 it is 0.02(10ml/hour), 0.03 (50ml/hour) and 0.04(100ml/hour). When using the B-Braun Channel 1 syringe, 0.25 (10ml/h), 009(50ml/h) and 0.08(100ml/h) are used. And on Channel 2 it is 0.62 (10ml/h), 0.15 (50ml/h), and 7.3 (100ml/h). When using the Terumo Channel 1 brand infusion set at 0.05 (10ml/h), 0.3(50ml/h), and 0.04(100ml/h). On Channel 2 it is 0.14(10ml/hour), 0.02 (50ml/hour) and 0.18 (100 ml/hour). When using the B-Braun Channel 1 Infusion Set, it is 0.07(10ml/h), 0.02(50 ml/h), and 0.03 (100ml/h). Then on Channel 2 0.07 (10ml/hour), 0.02(50 ml/hour), and 0.1(100ml/hour). The conclusion of this study is that the use of 2 different infusion sets greatly affects the readings, other than that other factors can also affect the readings including the position of the hose and the placement of sensors on each channel. From the manufacture of this tool, it is expected that users can be more efficient in using a 2-channel Infusion Device analyzer which can be run at the same time.

Downloads

Download data is not yet available.

References

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 2018, Sep. 2018, pp. 331–335. doi: 10.1109/COMAPP.2018.8460462.

B. G. Kim et al., “Safety-assured development of the GPCA infusion pump software,” Embed. Syst. Week 2011, ESWEEK 2011 - Proc. 9th ACM Int. Conf. Embed. Software, EMSOFT’11, no. October, pp. 155–164, 2011, doi: 10.1145/2038642.2038667.

E. Koomen, “Exploring the Effect of Nightly Infusion Pump Alarms on Sleep in the Hospital,” pp. 1–18.

G. Fico, J. Montalva, A. Medrano, N. Liappas, G. Cea, and M. T. Arredondo, “Testing of infusion pumps in healthcare institutions in Bosnia and Herzegovina,” IFMBE Proc., vol. 65, no. July 2018, pp. 1089–1090, 2018, doi: 10.1007/978-981-10-5122-7.

T. A. Golpaygani, “A study on performance and safety test of infusion pump devices.” [Online]. Available: www.biomedres.info

B. Jung et al., “Efficacy evaluation of syringe pump developed for continuous drug infusion,” J. Dent. Anesth. Pain Med., vol. 16, no. 4, p. 303, 2016, doi: 10.17245/jdapm.2016.16.4.303.

W. C. Levine and K. A. Vernest, Infusion Pumps, Second Edi., no. Iv. Elsevier Inc., 2013. doi: 10.1016/B978-0-323-11237-6.00018-2.

E. Batista, J. Alves E Sousa, A. Ribeiro, L. Martins, M. Pereira, and H. Navas, “Calibration of Infusion Pumps Analyser,” J. Phys. Conf. Ser., vol. 1065, no. 9, 2018, doi: 10.1088/1742-6596/1065/9/092003.

F. Abrantes, G. Luche, L. Loder, O. Noskoski, and A. Souza Junior, “using correlation to detect downstream occlusion in infusion pumps.”

E. Batista, I. Godinho, M. Do Céu Ferreira, A. Furtado, P. Lucas, and C. Silva, “Comparison of infusion pumps calibration methods,” Meas. Sci. Technol., vol. 28, no. 12, Nov. 2017, doi: 10.1088/1361-6501/aa8474.

M. V. Caya, M. U. Cosindad, N. I. Marcelo, J. N. M. Santos, and J. L. Torres, “Design and Implementation of an Intravenous Infusion Control and Monitoring System,” 2019 IEEE Int. Conf. Consum. Electron. - Asia, ICCE-Asia 2019, no. 2, pp. 68–72, 2019, doi: 10.1109/ICCE-Asia46551.2019.8941599.

J. V Alamelu and A. Mythili, “Examination of Control Parameters for Medical Grade Insulin Pump,” Int. J. Eng. Adv. Technol., vol. 9, no. 1S3, pp. 19–22, 2019, doi: 10.35940/ijeat.a1005.1291s319.

U. S. Ci, Tohumu u u mouth ponti, vol. 2. 2017. [Online]. Available: https://patenimages.storage.googleapis.com

A. K. Patel et al., “Design and Fabrication of Infusion Pump to Control the Flow Rate of Solution for Synthesis of Zinc Oxide Nanomaterial,” Int. J. Appl. Eng. Res., vol. 14, no. 5, pp. 1091–1097, 2019, [Online]. Available: http://www.ripublication.com

Iswanto, M. S. Masnawan, N. M. Raharja, and A. Ma’Arif, “Infusion Liquid Level Detection Tool Using IR Sensors and Photodiode Based on Microcontroller,” Proceeding - 2020 2nd Int. Conf. Ind. Electr. Electron. ICIEE 2020, pp. 70–73, 2020, doi: 10.1109/ICIEE49813.2020.9277363.

A. Arbelaez, S. Edwards, K. Littlefield, S. Wang, and K. Zheng, “Securing Wireless Infusion Pumps,” 2018 IEEE Cybersecurity Dev., pp. 141–141, 2018, doi: 10.1109/secdev.2018.00037.

B. P. Monitors et al., “Inspection and Preventive Maintenance,” vol. 1, no. 610.

M. I. Ali, “Designing a Low-Cost and Portable Infusion Pump,” 2019 4th Int. Conf. Emerg. Trends Eng. Sci. Technol. ICEEST 2019, 2019, doi: 10.1109/ICEEST48626.2019.8981680.

N. Thongpance, Y. Pititeeraphab, and M. Ophasphanichayakul, “The design and construction of infusion pump calibrator,” 5th 2012 Biomed. Eng. Int. Conf. BMEiCON 2012, vol. 100, pp. 3–5, 2012, doi: 10.1109/BMEiCon.2012.6465429.

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, Jan. 2022, doi: 10.35882/jeeemi.v4i1.5.

M. R. Rosdi and A. Huong, “A smart infusion pump system for remote management and monitoring of intravenous (IV) drips,” in ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics, Apr. 2021, pp. 285–288. doi: 10.1109/ISCAIE51753.2021.9431790.

J. An, R. D. Butterfield, and N. M. Sims, “Evaluation of Clinical Infusion Pump Performance Through Downstream Microdrop Monitoring: A Preliminary Study,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, vol. 2020-July, pp. 6066–6069, 2020, doi: 10.1109/EMBC44109.2020.9175301.

P. Ajmera, “A Review Paper on Infrared sensor.” [Online]. Available: http://www.engpaper.com/infrared-sensor.htm

M. Safitri, E. Loniza, U. M. Yogyakarta, and C. Author, “Short Text Message Based Infusion Fluid Level Monitoring System,” vol. 2, no. 2, pp. 60–64, 2021, doi: 10.18196/jrc.2253.

I. Student, “Design and Implementation of a Lowcost Integrated,” Int. Conf. Comput. Power, Energy Inf. Commun., pp. 25–32, 2016.

A. Tavakoli Golpaygani, M. M. Movahedi, M. Reza, and K. Hassani, “A study on performance and safety test of infusion pump devices,” Biomed. Res., vol. 28, no. 12, pp. 5179–5181, 2017.

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

D. K. J.R*, D. C. Ganeshbabu, S. D.V, P. K, and K. S P, “A Novel System Design for Intravenous Infusion System Monitoring for Betterment of Health Monitoring System using ML- AI,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 3, pp. 2649–2655, 2020, doi: 10.35940/ijitee.c8766.019320.

D. F. Chau, T. Vasilopoulos, M. Schoepf, C. Zhang, and B. G. Fahy, “Syringe Pump Performance Maintained with IV Filter Use during Low Flow Rate Delivery for Pediatric Patients,” Anesth. Analg., vol. 123, no. 3, pp. 705–714, 2016, doi: 10.1213/ANE.0000000000001273.

N. Maulidia, A. Pudji, and M. Ridha, “Development of Infusion Device Analyzer to Calibrate Flow Rate of Infusion Device,” TEKNOKES, vol. 2, no. 1, pp. 26–33, 2020, doi: 10,35882 / ijeeemi.v2i1.6 ISSN: 2656-8624.

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.

S. Hossain, S. Sharmin, T. Faruk, and M. K. Islam, “Low-Cost Digitization of Infusion Pump for Real-time Automated Flow Rate Monitoring and Warning,” Dec. 2019. doi: 10.1109/ICIET48527.2019.9290599.

M. E. Mansour, “Design of Low Cost Smart Infusion Pump,” Proc. 2020 Int. Conf. Comput. Control. Electr. Electron. Eng. ICCCEEE 2020, no. 1, 2021, doi: 10.1109/ICCCEEE49695.2021.9429591.

N. Merhi et al., “An intelligent infusion flow controlled syringe infusion pump,” Proc. Int. Conf. Microelectron. ICM, vol. 2019-Decem, pp. 48–52, 2019, doi: 10.1109/ICM48031.2019.9021516.