Abstract
This paper presents an infrared infusion monitoring method based on data dimensionality reduction and a logistics classifier. In today’s social environment, nurses with hospital infusion work are under excessive pressure. In order to improve the information level of the traditional medical process, hospitals have introduced a variety of infusion monitoring devices. The current infusion monitoring equipment mainly adopts the detection method of infrared liquid drop detection to realize non-contact measurements. However, a large number of experiments have found that the traditional infrared detection method has the problems of low voltage signal amplitude variation and low signal-to-noise ratio (SNR). Conventional threshold judgment or signal shaping cannot accurately judge whether droplets exist or not, and complex signal processing circuits can greatly increase the cost and power consumption of equipment. In order to solve these problems, this paper proposes a method for the accurate measurement of droplets without increasing the cost, that is, a method combining data drop and a logistics classifier. The dimensionalized data and time information are input into the logistics classifier to judge the drop landing. The test results show that this method can significantly improve the accuracy of droplet judgment without increasing the hardware cost.
Highlights
IntroductionInfusion is a very important and basic treatment. at present, the hospital mainly uses manual management of infusion information, which has low efficiency and a high labor cost
In modern medicine, infusion is a very important and basic treatment
In order to improve the monitoring quality of infusion monitoring devices, researchers have done a lot of research, but the effect of detection accuracy is not very ideal
Summary
Infusion is a very important and basic treatment. at present, the hospital mainly uses manual management of infusion information, which has low efficiency and a high labor cost. Proposed an infusion monitor based on gravity detection [1], but this type of monitor is very bulky and inconvenient to use and susceptible to system motion. A. et al proposed a TDR- and microwave-based infusion detector solution [2], but this method has higher power consumption and cannot be flexibly applied. The method of using camera detection proposed by [3] provides a solution that can achieve higher precision detection, but its cost is too high, resulting in unsuitability for large-scale promotion and application. The strong magnetic properties of infrared light and the physical properties of refraction make it ideal for non-contact measurement of droplets, but its signal is not so stable, so there are some difficulties in signal processing. Rachman has designed infrared infusion counters that support wireless communication and use a voltage comparator to process the voltage signal [4]
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