의료 주사기 주입 펌프 응용을위한 공기 압력 센서

Infusion pumps are key devices used in modern medical equipment for precise control of drug or fluid delivery. Especially in therapeutic areas where high flow accuracy is required (예를 들어. anesthesia, nutritional support and chemotherapy), the stability and reliability of infusion pumps are crucial. And air pressure sensors play a vital role in this process, especially in monitoring pressure changes, bubble detection and infusion rate control to ensure the safety of the treatment process.

WF100D 2BG -100~200kPa IIC/SPI Digital Pressure Sensor Package DIP6


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Central role of air pressure sensors in infusion pumps

Infusion line pressure monitoring

Air pressure sensors are able to monitor pressure changes within the infusion line in real time, recognizing blockages (예를 들어, clogged needles, bent lines) or leaks (예를 들어, ruptured infusion tubes) in a timely manner. By setting the appropriate pressure threshold, the sensor can trigger an alarm and automatically pause the infusion to avoid patient harm or overdose.

Air Bubble DetectionBubbles

Can occur during infusion, especially when the infusion bag is emptied and air can enter the line. By detecting pressure fluctuations, the 공기 압력 센서 is able to accurately recognize the presence of air bubbles, preventing the risk of gas embolism and ensuring the safety of drug infusion.

Infusion Rate ControlBy

Incorporating flow rate feedback, the air pressure sensor is able to dynamically adjust the pump drive motor to compensate for flow rate deviations due to changes in patient position or fluctuations in venous pressure. This ensures stability of the infusion rate, especially important when infusing highly viscous fluids such as parenteral nutritional solutions.

Sensor Types and Selection

Piezoresistive Sensors

Piezoresistive sensors utilize MEMS technology to measure pressure through changes in resistance caused by deformation of a silicon diaphragm. Its advantages are high sensitivity and miniaturization, making it suitable for integration into infusion pump modules. 하지만, it requires temperature compensation to ensure its accuracy.

Capacitive Sensors

Capacitive sensors sense pressure changes by detecting changes in the distance between the pole plates. This type of sensor is highly resistant to electromagnetic interference and is suitable for scenarios that require high accuracy (예를 들어, neonatal infusion). 하지만, they are more costly and suitable for use in high-end medical devices.

Fiber Optic Pressure Sensors

Fiber optic pressure sensors have no risk of electrical signal interference and are particularly suitable for use in strong electromagnetic environments, such as MRI examination environments. 하지만, it has a higher system complexity and is usually used in specialized medical scenarios.

Selection Key Parameters

Fiber Optic Pressure Sensors

  • Range: Typically required to cover a range from -50 MMHG (negative pressure detection) 에게 +600 MMHG (high pressure blockage scenario).
  • 정확성: within ±1% FS (full scale error) to ensure that small pressure changes are captured.
  • 응답 시간: Less than 10 ms, enabling fast response to instantaneous changes in pressure such as when a catheter is dislodged.
WF100DPZ
EDA Models

System Design Points

Redundant Safety Design

To increase the reliability of the system, dual sensors can be used for cross-verification. 예를 들어, the primary sensor monitors the infusion line pressure and the secondary sensor detects the pump head mechanical pressure. This avoids a single point of failure and reduces the risk of false alarms and missed alarms.

Signal Processing Algorithm

Dynamic Baseline Calibration: Automatically corrects for zero point errors caused by ambient temperature or long-term drift.
Noise Filtering: Digital filtering techniques (예를 들어. moving average, wavelet transform) are used to eliminate signal interference from patient motion or pump motor vibration.

Medical Compliance

공기 압력 센서 must comply with medical standards such as IEC 60601-1 (Electrical Safety for Medical Use) and ISO 80369 (False Connection Prevention for Infusion Systems). 게다가, the sensor material should be able to withstand common medical sterilization methods such as ethylene oxide (EtO) sterilization or gamma irradiation.

Typical Application Example

Blockage Alarm System

When the pressure in the infusion line consistently exceeds a set threshold (예를 들어, 300 MMHG), the system determines that there is a blockage and immediately stops the pump for an alarm. The algorithm needs to distinguish between brief pressure spikes (예를 들어, patient’s cough) and actual blockage to avoid false alarms.

Adaptive Infusion Control

During the infusion of highly viscous drugs, the data from the sensors are fed back to the PID controller, which automatically adjusts the stepper motor torque of the pump to ensure a constant infusion rate.

Infusion Completion Warning

When the infusion bag is close to empty, the sensor detects the increase of negative pressure in the pipeline, and the system sends out an early warning to help nurses deal with the situation in time and reduce the operation delay.

Problems and Solutions

Drift Problem

Barometric pressure sensors may experience zero drift during long-term use. To solve this problem, a self-test program can be designed, such as automatically performing a zero calibration every day, to ensure that the sensor works stably for a long period of time.

Cross-infection risk

The sensor and the infusion line should be kept isolated to avoid direct contact with the drug solution. Isolation can be achieved through a breathable membrane to prevent cross-contamination.

Cost control

In low-end devices, analog output sensors coupled with MCU-integrated ADC solutions can be designed to replace digital sensors to some extent, reducing costs while maintaining basic performance.

결론

The application of air pressure sensors in medical syringe infusion pumps plays an important safety role in ensuring pressure stability and safety during drug or liquid delivery. As medical technology advances, the integration of barometric pressure sensors will become smarter, and more sensors with multi-parameter fusion (예를 들어, 압력, flow, 온도) combined with AI-driven anomalous pattern recognition technology are likely to emerge in the future. Designers will need to find a balance between accuracy, reliability and cost, and ensure that the sensors meet stringent medical regulatory requirements to enhance the performance and safety of infusion pumps.

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