School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China.
Department of Medical Electronic Engineering, Faculty of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
Technol Health Care. 2020;28(S1):37-46. doi: 10.3233/THC-209005.
In hospitals, some problems still exist, such as transfusion reaction that cannot be dealt with in time, medical staff cannot observe the physiological information of the infusion patients in real time, and the infusion speed cannot be controlled smartly.
To address these problems, we propose a method for intelligent monitoring and designed a controller for dripping speed regulation.
A photoelectric sensor was used to obtain the heart rate (HR) information, and a PID parameter self-tuning controller based on the fuzzy control principle was developed to establish a multi-stage adaptive control method based on HR feedback. By controlling the rotation of the motor to drive the cam to control the drip rate smartly. Also, the infusion and physiological information are transmitted to the nurse station to monitor the possible transfusion reaction.
The experiments show that the intelligent infusion controller can achieve HR signal detection with an average accuracy of over 94%, dripping speed detection and adjustment with an average accuracy of above 98% and adjustment time within 35 seconds.
Our study proved that the intelligent infusion controller can control the infusion process intelligently and effectively, and has excellent reliability, small steady-state error and high practical value.
在医院中，仍然存在一些问题，例如不能及时处理的输血反应、医务人员无法实时观察输液患者的生理信息、以及不能智能控制输液速度等。
为了解决这些问题，我们提出了一种智能监测方法，并设计了一种输液速度调节控制器。
采用光电传感器获取心率（HR）信息，基于模糊控制原理开发 PID 参数自整定控制器，建立基于 HR 反馈的多阶段自适应控制方法。通过控制电机的旋转来驱动凸轮，从而智能控制滴速。此外，将输液和生理信息传输到护士站，以监测可能发生的输液反应。
实验表明，智能输液控制器可以实现 HR 信号检测，平均准确率超过 94%，滴速检测和调整，平均准确率超过 98%，调整时间在 35 秒内。
我们的研究证明，智能输液控制器可以智能有效地控制输液过程，具有可靠性高、稳态误差小、实际应用价值高等优点。
