Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Real-time Monitoring of the Actual Infusion Rate of Syringe Pump Using 2D Image Marker Tracking

2D 영상마커 추적 기반 시린지펌프 투약속도 실시간 감시 기술 개발

  • Gun Ho, Kim (Interdisciplinary Program in Biomedical Engineering, College of Medicine, Pusan National University) ;
  • Young Jun, Hwang (Interdisciplinary Program in Biomedical Engineering, College of Medicine, Pusan National University) ;
  • Min Jae, Kim (Interdisciplinary Program in Biomedical Engineering, College of Medicine, Pusan National University) ;
  • Kyoung Won, Nam (Interdisciplinary Program in Biomedical Engineering, College of Medicine, Pusan National University)
  • 김건호 (부산대학교 의과대학 의공학협동과정) ;
  • 황영준 (부산대학교 의과대학 의공학협동과정) ;
  • 김민재 (부산대학교 의과대학 의공학협동과정) ;
  • 남경원 (부산대학교 의과대학 의공학협동과정)
  • Received : 2023.01.19
  • Accepted : 2023.02.23
  • Published : 2023.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: To propose a new infusion rate monitoring technique based on the 2D image marker tacking to improve patient safety by preventing syringe pump-related medication accidents due to decreased infusion rate control accuracy. Materials and Methods: The infusion rate of the syringe pump and drug residue in the pump-equipped syringe were monitored in real time by tracking the movement of the 2D image markers attached to the syringe pump. Results: The error rate between the set and the estimated infusion rates was 1.03, 0.66, 1.95, 0.23, and 1.05% when the infusion rate setting was 10, 20, 30, 40, and 50 mL/H, respectively. In addition, the error rate between the actual and the estimated drug residues was 1.04, 0.47, 0.60, 3.66, and 0.00% when the infusion rate setting was 10, 20, 30, 40, and 50 mL/H, respectively. Conclusion: Experimental results demonstrated that the proposed technique can increase the efficiency of the safety management system for seriously ill inpatients by decreasing a possibility of syringe pump-related medication accidents in hospitals.

Keywords

Acknowledgement

본 연구는 2021년 양산부산대학교병원 임상연구비 지원으로 이루어졌음.

References

  1. Brocx S, Cleaver H. When and how to use a syringe driver in palliative care. Best Practice J. 2012;48:28-35.
  2. Kim GH, Yun SU, Ro JH, Nam KW. A new injection rate estimation technique for on-site screening test of medication infusion pump by nurses. P I Mech Eng H. 2020;234(4):370-6. https://doi.org/10.1177/0954411919894082
  3. Batliner M, Weiss M, Dual SA, Grass B, Meboldt M, Daners MS. Evaluation of a novel flow-controlled infusion pump for precise and continuous drug delivery at low flow rates: a laboratory study. Anaesthesia. 2019;74(11):1425-31. https://doi.org/10.1111/anae.14784
  4. Health Insurance Review & Assessment Service. Health insurance treatment statistics for inpatients in intensive care units. Healthcare Bigdata Hub. 2022 Oct. https://opendata.hira.or.kr/op/opc/selectOpenData.mo?sno=11913, accessed on Jan 10, 2023.
  5. Lin L, Vicente KJ, Doyle DJ. Patient safety, potential adverse drug events, and medical device design: a human factors engineering approach. J Biomed Inform. 2001;34(4):274-84. https://doi.org/10.1006/jbin.2001.1028
  6. Vicente KJ, Kada-Bekhaled K, Hillel G, Cassano A, Orser BA. Programming errors contribute to death from patient-controlled analgesia: case report and estimate of probability. Can J Anaesth. 2003;50(4):328-32. English, French. https://doi.org/10.1007/BF03021027
  7. Syed S, Paul JE, Hueftlein M, Kampf M, McLean RF. Morphine overdose from error propagation on an acute pain service. Can J Anaesth. 2006;53(6):586-90. https://doi.org/10.1007/BF03021849
  8. Park HJ, Jang JS. Establish Selection Process of Performance Management Medical Devices and Test items Based on Risk Management. Journal of Biomedical Engineering Research. 2019;28:40(1):20-31.
  9. International Electrotechnical Commission, IEC 60601-2-24: Medical electrical equipment-Part 2-24: Particular requirements for the basic safety and essential performance of infusion pumps and controllers, 2012;17-34.
  10. Batliner M, Weiss M, Dual SA, Grass B, Meboldt M, Schmid Daners M. Evaluation of a novel flow-controlled syringe infusion pump for precise and continuous drug delivery at low flow rates: a laboratory study. Anaesthesia. 2019;74(11):1425-1431. https://doi.org/10.1111/anae.14784
  11. AnJani AG, Sunarto PG, Royan R, Winowo KM, Romadhona G, Sapundani R, Mulyanto A, Setiawan I, Jumrianto J, Prasath N. Application of IoT using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety. Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics. 2022;4(1):23-27. https://doi.org/10.35882/ijeeemi.v4i1.4
  12. Das S, Chakraborty B. A Pencil Drawn Capacitive Sensor used for Liquid Drug Volume Measurement in Syringe Pump. 2020 IEEE Applied Signal Processing Conference (ASPCON). 2020;85-88.
  13. Hagihghi R, Razmjou A, Orooji Y, Warkiani ME, Asadnia M. A miniaturized piezoresistive flow sensor for real-time monitoring of intravenous infusion. Journal of Biomedical Materials Research Part B: Applied Biomaterials. 2020;108(2):568-576. https://doi.org/10.1002/jbm.b.34412
  14. Shen Z, Kottapalli AGP, Subramaniam V, Asadnia M, Miao J, Triantafyllou M. Biomimetic flow sensors for biomedical flow sensing in intravenous tubes. 2016 IEEE SENSORS. 2016;1-3.
  15. Islam MR, Zahid Rusho R, Islam SMR. Design and Implementation of Low Cost Smart Syringe Pump for Telemedicine and Healthcare. 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). 2019;440-444.
  16. Rajasekwaran S, Aishwarya SV, Gowtham S, Suguna R, Vasunthera V, Sathes S. Iot based low cost syringe pump for telemedicine and health care. International Research Journal of Modernization in Engineering Technology and Science. 2022;4(6):4222-4229.