Microcontroller-Based Intravenous Fluid Monitoring System Design
DOI:
https://doi.org/10.37385/jaets.v5i2.3230Keywords:
Load Cell, RTC, Intravenous Monitoring, BuzzerAbstract
Intravenous fluids are used to replace the body's fluid and electrolyte balance. This is a crucial need for a patient during treatment, so infusion replacement should not be delayed as it can be fatal to the patient. Medical personnel must always pay attention to the patient's infusion. This has always been a problem because the limited number of medical personnel and the large number of patients often make it difficult for medical personnel to carry out their duties. The development of technology increases human creativity and creates various tools to help humans be more effective, including in dealing with problems in the medical world. Based on this background, the author designed an infusion fluid monitoring system to facilitate nurses in hospitals that lack electrical support and internet networks. This research aims to make an intravenous fluid monitoring tool using a microcontroller effectively and realtime. The research method we use is research and development, while the data analysis method uses comparative quantitative analysis. This research consists of three main parts, namely system input, microcontroller as system processor, and system output as expected. This infusion fluid monitoring uses Load Cell to measure the volume of infusion fluid, RTC module to estimate the time of infusion fluid expiration, LCD as infusion fluid status information, and buzzer as an information alarm if the infusion fluid is detected to run out. The microcontroller used in this research is Arduino Uno. The results showed that infusion fluid has the same pressure as human body fluids (isotonic). Load Cell has a mass reading accuracy value of 99.88%, the accuracy of testing the conversion of intravenous fluid measurements into milliliters of 99.49%, and the number of infusion fluid droplets per minute under normal conditions is 20, with an estimated time out for 8 hours.
Downloads
References
Abolore, A., Olurotimi, D., Edward, O., Olajumoke, H., & Nihinlola, F. (2024). e-Prime - Advances in Electrical Engineering , Electronics and Energy Arduino microcontroller based real-time monitoring of haemodialysis process for patients with kidney disease. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 7(November 2023), 100403. https://doi.org/10.1016/j.prime.2023.100403
Alagundagi, S. S., Pasala, K., & Arora, M. (2018). Opto-electronic system for intravenous infusion monitoring. 2018 10th International Conference on Communication Systems and Networks, COMSNETS 2018, 2018-Janua, 688–692. https://doi.org/10.1109/COMSNETS.2018.8328296
Amano, H., Ogawa, H., Maki, H., Tsukamoto, S., Yonezawa, Y., & Caldwell, W. M. (2012, August). A remote drip infusion monitoring system employing Bluetooth. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 2029-2032). IEEE.
Ayumi, V. (2019). Mobile Application for Monitoring of Addition of Drugs to Infusion Fluids. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 5(6), 48–56. https://doi.org/10.32628/cseit195616
Bisták, P. (2019). Arduino Support for Personalized Learning of Control Theory Basics. IFAC-PapersOnLine, 52(27), 217–221. https://doi.org/10.1016/j.ifacol.2019.12.759
Boikanyo, K., Zungeru, A. M., Sigweni, B., Yahya, A., & Lebekwe, C. (2023). Remote patient monitoring systems: Applications, architecture, and challenges. Scientific African, 20. https://doi.org/10.1016/j.sciaf.2023.e01638
Bruscato, L. T., Freitas, E. P., & Heimfarth, T. (2016). Self-Correcting Time Synchronization Support for Wireless Sensor Networks Targeting Applications on Internet of Things. IFAC-PapersOnLine, 49(30), 355–360. https://doi.org/10.1016/j.ifacol.2016.11.161
Caya, M. V., Cosindad, M. U., Marcelo, N. I., Santos, J. N. M., & Torres, J. L. (2019). Design and Implementation of an Intravenous Infusion Control and Monitoring System. 2019 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2019, 2, 68–72. https://doi.org/10.1109/ICCE-Asia46551.2019.8941599
Chen, F. G., Wang, J. Y., Chen, S., Tu, S. C., & Chen, K. Y. (2015). A hang-and-play intravenous infusion monitoring system. Proceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015, 278–281. https://doi.org/10.1109/ACIT-CSI.2015.57
Chiradeja, P., & Yoomak, S. (2023). Development of public lighting system with smart lighting control systems and internet of thing (IoT) technologies for smart city. Energy Reports, 10(March), 3355–3372. https://doi.org/10.1016/j.egyr.2023.10.027
Choudhury, S., Kuchhal, P., Singh, R., & Anita. (2015). ZigBee and bluetooth network based sensory data acquisition system. Procedia Computer Science, 48(C), 367–372. https://doi.org/10.1016/j.procs.2015.04.195
Czerniel, J., Gosty?ska, A., Ja?czak, J., & Stawny, M. (2023). A critical review of the novelties in the development of intravenous nanoemulsions. European Journal of Pharmaceutics and Biopharmaceutics, 191(July), 36–56. https://doi.org/10.1016/j.ejpb.2023.08.009
Fajrin, H. R., Ramdini, B. M., & Syaifudin, A. (2022). The Wireless-Based Monitoring Tool of the Volume and Rate of Infusion Drip. AIP Conference Proceedings, 2499(November). https://doi.org/10.1063/5.0104942
Gabriel, K., Hovater, K., Gao, H., de la Cruz, D., Calkins, K. L., & Neu, J. (2023). Monitoring and management of hypertriglyceridemia in extremely low birth weight neonates receiving intravenous lipid emulsions: A national survey. Early Human Development, 186(October), 105872. https://doi.org/10.1016/j.earlhumdev.2023.105872
Gawronska, J., Koyanagi, A., López Sánchez, G. F., Veronese, N., Ilie, P. C., Carrie, A., Smith, L., & Soysal, P. (2023). The Prevalence and Indications of Intravenous Rehydration Therapy in Hospital Settings: A Systematic Review. Epidemiologia, 4(1), 18–32. https://doi.org/10.3390/epidemiologia4010002
Giaquinto, N., Scarpetta, M., Spadavecchia, M., & Andria, G. (2021). Deep learning-based computer vision for real-time intravenous drip infusion monitoring. IEEE Sensors Journal, 21(13), 14148–14154. https://doi.org/10.1109/JSEN.2020.3039009
Hardi, E., Veigt, M., Koerdt, M., Herrmann, A. S., & Freitag, M. (2020). Monitoring of the vacuum infusion process by integrated RFID transponder. Procedia Manufacturing, 52(2019), 20–25. https://doi.org/10.1016/j.promfg.2020.11.005
Jianwen, C., & Han, Z. (2011). Design of intravenous infusion monitoring and alarm system based on wireless communication technology. 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, 130–134. https://doi.org/10.1109/ICMA.2011.5985644
Kroeger, N., Badbaran, A., Holler, E., Hahn, J., Kobbe, G., Bornhauser, M., Reiter, A., Zabelina, T., Zander, A., & Fehse, B. (2006). Highly Sensitive Real-Time PCR of V617F-JAK2-Mutation To Monitor Minimal Residual Disease and Guide Donor Lymphocte Infusion after Allogeneic Stem Cell Transplantation in Patients with Myelofibrosis. Blood, 108(11), 669–669. https://doi.org/10.1182/blood.v108.11.669.669
Kvalsund, A. S., & Winkler, D. (2023). Development of an Arduino-based, open-control interface for hardware in the loop applications. HardwareX, 16(October), e00488. https://doi.org/10.1016/j.ohx.2023.e00488
Laukkanen, A. M., Horá?ek, J., & Radolf, V. (2021). Buzzer versus water resistance phonation used in voice therapy. Results obtained with physical modeling. Biomedical Signal Processing and Control, 66. https://doi.org/10.1016/j.bspc.2021.102417
Lig?za, P. (2022). Method of testing fast-changing and pulsating flows by means of a hot-wire anemometer with simultaneous measurement of voltage and current of the sensor. Measurement: Journal of the International Measurement Confederation, 187(May 2021). https://doi.org/10.1016/j.measurement.2021.110291
Lu, D., & Mao, W. (2023). Efficacy and safety of intravenous combined with aerosolised polymyxin versus intravenous polymyxin alone in the treatment of multidrug-resistant gram-negative bacterial pneumonia: A systematic review and meta-analysis. Heliyon, 9(5), e15774. https://doi.org/10.1016/j.heliyon.2023.e15774
Majid, S. H., Yusro, M., Yuliatmojo, P., & Siregar, K. N. (2021). Web-based intravenous fluid monitoring. IOP Conference Series: Materials Science and Engineering, 1098(4), 042085. https://doi.org/10.1088/1757-899x/1098/4/042085
Mantenuto, P., De Marcellis, A., & Ferri, G. (2012). On the sensitivity characteristics in novel automatic wheatstone bridge-based interfaces. Procedia Engineering, 47, 261–264. https://doi.org/10.1016/j.proeng.2012.09.133
Martinsen, M. R., Davey, N. G., Bell, R. J., Krogh, E. T., Gill, C. G., Mikkelsen, Ø., & Schmid, R. (2020). A field portable membrane introduction mass spectrometer with in-line standard infusion and sample heat exchanger for real-time monitoring of volatile organic compounds in aqueous samples. Environmental Chemistry and Ecotoxicology, 2, 168–174. https://doi.org/10.1016/j.enceco.2020.09.003
Naeim, M. K. M., Chung, G. C., Lee, I. E., Tiang, J. J., & Tan, S. F. (2023). A Mobile IoT-based Elderly Monitoring System for Senior Safety. International Journal of Technology, 14(6), 1185–1195. https://doi.org/10.14716/ijtech.v14i6.6634
Noel-Weiss, J., Woodend, A. K., Peterson, W. E., Gibb, W., & Groll, D. L. (2011). An observational study of associations among maternal fluids during parturition, neonatal output, and breastfed newborn weight loss. International Breastfeeding Journal, 6, 2–11. https://doi.org/10.1186/1746-4358-6-9
Polderman, J. A. W., Ma, X. L., Eshuis, W. J., Hollmann, M. W., Devries, J. H., Preckel, B., & Hermanides, J. (2017). Efficacy of continuous intravenous glucose monitoring in perioperative glycaemic control: A randomized controlled study. British Journal of Anaesthesia, 118(2), 264–266. https://doi.org/10.1093/bja/aew455
R, N., & Susanti, D. (2019). Pengembangan Bahan Ajar Trigonometri Berbasis Literasi Matematika. Jurnal Borneo Saintek, 2(1), 37–45. https://doi.org/10.35334/borneo_saintek.v2i1.633
Roohani, I., Entezari, A., & Zreiqat, H. (2023). Liquid crystal display technique (LCD) for high resolution 3D printing of triply periodic minimal surface lattices bioceramics. Additive Manufacturing, 74(July), 103720. https://doi.org/10.1016/j.addma.2023.103720
Santos, C. C., Costa, M. J., Forte, P., & Marinho, D. A. (2023). A comparison of load cell and pressure sensors to measure in-water force in young competitive swimmers. Journal of Biomechanics, 160(September). https://doi.org/10.1016/j.jbiomech.2023.111815
Sifa Fauziyyah, A., & Yohandri. (2020). Design of automatic infusion monitoring system based on Arduino. Journal of Physics: Conference Series, 1528(1). https://doi.org/10.1088/1742-6596/1528/1/012025
Smith, R., Rolfe, A., Cameron, C., Shaw, G. M., Chase, J. G., & Pretty, C. G. (2022). Low cost circulatory pressure acquisition and fluid infusion rate measurement system for clinical research. HardwareX, 11, e00318. https://doi.org/10.1016/j.ohx.2022.e00318
Swedarma, K. E., Saputra, I. K., Tri Mulyani Hastuti, F., & Irfan Mudhoep, D. (2023). Infusion Fluid Monitoring System Using Arduino Microcontroller and Internet of Think (IoT) to Increase Work Efficiency of Nurses in Hospital. Nursing and Health Sciences Journal (NHSJ), 3(2), 175–183. https://doi.org/10.53713/nhsj.v3i2.204
Tali?, A., ?erimovi?, S., Beigelbeck, R., Kohl, F., Jachimowicz, A., & Keplinger, F. (2009). Novel Thermal Flow Sensors Based on a Wheatstone Bridge Read-out. Procedia Chemistry, 1(1), 136–139. https://doi.org/10.1016/j.proche.2009.07.034
Venkatesh, K., Alagundagi, S. S., Garg, V., Pasala, K., Karia, D., & Arora, M. (2022). DripOMeter: An open-source opto-electronic system for intravenous (IV) infusion monitoring. HardwareX, 12, e00345. https://doi.org/10.1016/j.ohx.2022.e00345
Wang, S., & Jiang, B. (2018). Design of wireless infusion monitor based on Bluetooth 4.0. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, 750–754. https://doi.org/10.1109/ICIEA.2018.8397813
Xinling, W. (2008). Design of medical infusion monitor and protection system based on wireless communication technology. Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 2, 755–759. https://doi.org/10.1109/IITA.2008.47
Zhang, Y., Zhang, S., Ji, Y., & Wu, G. (2010). Intravenous infusion monitoring system based on WSN. IET Conference Publications, 2010(575 CP), 38–42. https://doi.org/10.1049/cp.2010.1024
CITEDNESS IN SCOPUS
CITEDNESS IN WOS
