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Intelligent infusion controller with a physiological information feedback function
Jing Li1, Pengfei Dong1, Yongxin Lai1
1School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China.
Background:
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.
Objective:
To address these problems, we propose a method for intelligent monitoring and designed a controller for dripping speed regulation.
Methods:
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.
Results:
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.
Conclusion:
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.
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