Intravenous infusion monitoring system based on WSN

Zhang, Yang; Zhang, Sanfeng; Ji, Yi Guo; Wu, Guoxin

doi:10.1049/cp.2010.1024

Cited by 11 publications

(2 citation statements)

References 8 publications

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“…By introducing IoT technology, the process can be changed to one-nurse on-site verification and the other remote verification to reduce the unnecessary waste of human resources. Meanwhile, IoT infusion devices can rely on various sensing and control modules to ensure accurate dosing and avoid air embolism, blood reflux, overdosing, and underdosing issues [12][13][14][15]. An infusion device using a closed-loop controlled stepper-motor-driven peristaltic pump can control the infusion speed and total volume to prevent blood reflux due to low fluid levels and non-human factors causing overdosing and underdosing.…”

Section: Introductionmentioning

confidence: 99%

A Novel and Self-Calibrating Weighing Sensor with Intelligent Peristaltic Pump Control for Real-Time Closed-Loop Infusion Monitoring in IoT-Enabled Sustainable Medical Devices

Kok,

Ho,

Dai

et al. 2024

Electronics

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Technological advancements are propelling medical technology towards automation through the application and widespread use of automatic control, sensing, and Internet of Things (IoT) technologies. Currently, IoT technology has been extensively applied in medical devices, aiming to ensure patient safety through more real-time detection and more effective management. In the monitoring of intravenous infusion, accurately sensing the infusion conditions in real time is particularly important. This article introduces a low-cost smart infusion device based on IoT technology, which controls the infusion rate with a peristaltic pump and monitors the volume of fluid delivered. It uses an improved, self-calibrating weighing sensor to achieve the real-time closed-loop control of the flow rate, ensuring patient safety. Additionally, the Blynk dashboard can be used for monitoring and controlling the flow rate and infusion volume.

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Section: Introductionmentioning

confidence: 99%

A Novel and Self-Calibrating Weighing Sensor with Intelligent Peristaltic Pump Control for Real-Time Closed-Loop Infusion Monitoring in IoT-Enabled Sustainable Medical Devices

Kok,

Ho,

Dai

et al. 2024

Electronics

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“…Intravenous therapy (IV therapy) is a medical procedure that injects fluids, drugs, and nutrients straight into a patient's vein [1,2]. The use of IoT technology to monitor and even take over [3] the intravenous infusion process ensures the safety and accuracy of the treatment [4][5][6]. Thus, it is widely used in hospitals and even in patients' homes [7,8].…”

Section: Introductionmentioning

confidence: 99%

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

Kok,

Dai,

Lee

et al. 2024

Electronics

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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.

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Smart Saline Monitoring System for Automatic Control Flow Detection and Alertness Using IoT Application

Reddy

Prakash

Dinakar

et al. 2021

Advances in Intelligent Systems and Computing

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Intravenous infusion monitoring system based on WSN

Cited by 11 publications

References 8 publications

A Novel and Self-Calibrating Weighing Sensor with Intelligent Peristaltic Pump Control for Real-Time Closed-Loop Infusion Monitoring in IoT-Enabled Sustainable Medical Devices

A Novel and Self-Calibrating Weighing Sensor with Intelligent Peristaltic Pump Control for Real-Time Closed-Loop Infusion Monitoring in IoT-Enabled Sustainable Medical Devices

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

Smart Saline Monitoring System for Automatic Control Flow Detection and Alertness Using IoT Application

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