A Novel Low-Cost Capacitance Sensor Solution for Real-Time Bubble Monitoring in Medical Infusion Devices

Author:

Kok Chiang Liang1ORCID,Dai Yuwei1,Lee Teck Kheng2ORCID,Koh Yit Yan1,Teo Tee Hui3ORCID,Chai Jian Ping1

Affiliation:

1. College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia

2. Institute of Technical Education College Central, Singapore 567720, Singapore

3. Engineering Product Development, Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore 487372, Singapore

Abstract

In the present day, IoT technology is widely applied in the field of medical devices to facilitate real-time monitoring and management by medical staff, thereby better-ensuring patient safety. In IoT intravenous infusion monitoring sensors, it is particularly important to ensure that air bubbles are not infused into the patient’s body. The most common method for bubble detection during intravenous infusions is the use of infrared or laser sensors, which can usually meet design requirements at a relatively low cost. Another method is the use of ultrasonic detection of bubbles, which achieves high accuracy but has not been widely promoted in the market due to higher costs. This proposed work introduces a new type of sensor that detects bubbles by monitoring changes in capacitance between two electrodes installed at the surface of the infusion pipe. If this sensor is deployed on the ESP32 platform, which is widely used in embedded IoT devices, it can achieve 35 μL bubble detection precision with an average power consumption of 5.18 mW and a mass production cost of $0.022. Although the precision of this sensor is significantly lower than the low-cost IR bubble sensor, it still satisfies the design requirement of the IV infusion IoT sensor.

Funder

University of Newcastle, Australia

Publisher

MDPI AG

Reference46 articles.

1. Dougherty, L., and Lamb, J. (2009). Intravenous Therapy in Nursing Practice, Blackwell Publishing.

2. Doyle, G.R., and McCutcheon, J.A. (2021, October 26). 8.2 Intravenous Fluid Therapy. Clinical Procedures for Safer Patient Care, 23 November 2015. Available online: https://opentextbc.ca/clinicalskills/chapter/intravenous-therapy-peripheral-and-central-venous-catheters/.

3. Zhang, Y., Zhang, S., Ji, Y., and Wu, G. (2010, January 15–17). Intravenous infusion monitoring system based on WSN. Proceedings of the IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010), Beijing, China.

4. Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions;Philip;IEEE J. Sel. Areas Commun.,2021

5. Hoa, N. (2020, January 28–29). Smart Sensors for Health Care Application: Challenges and Opportunities: Keynote Talk #1. Proceedings of the 2020 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Hanoi, Vietnam.

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