基于模式识别技术的医疗电子设备故障智能辨识

于大海 姜丹 李楠

摘  要： 針对当前医疗电子设备故障智能辨识方法存在精度低、效率低等局限性，设计基于模式识别技术的医疗电子设备故障智能辨识方法。首先，对国内外医疗电子设备故障智能辨识的研究现状进行分析，找到引起医疗电子设备故障智能辨识局限的原因;然后，提取医疗电子设备故障智能辨识特征，并采用模式识别技术建立医疗电子设备故障智能辨识模型;最后，采用具体实例对医疗电子设备故障智能辨识结果进行分析。基于模式识别技术的医疗电子设备故障智能辨识正确率高，医疗电子设备故障智能误识率极低，而且医疗电子设备故障智能辨识效率优于传统辨识方法，对比结果验证了基于模式识别技术的医疗电子设备故障智能辨识的优越性。

关键词： 模式识别技术; 医疗电子设备; 故障智能辨识; 故障分类器; 信号采集; 辨识效率

中图分类号： TN99?34; TP391                     文献标识码： A                     文章编号： 1004?373X（2020）03?0146?04

Intelligent fault identification of medical electronic equipment

based on pattern recognition technology

YU Dahai1， JIANG Dan2， LI Nan3

（1. School of Electrical Information， Changchun Guanghua University， Changchun 130033， China;

2. The Second Hospital of Jilin University， Changchun 130000， China;

3. Army Armored Military Academy Sergeant School， Changchun， 130000， China）

Abstract： An intelligent fault identification method for medical electronic equipment based on pattern recognition technology is designed to deal with the limitations of low accuracy and inefficiency of current intelligent fault identification of medical electronic equipment. Firstly， the research status of intelligent fault identification of medical electronic equipment at home and abroad is analyzed to find the reasons causing the limitation of intelligent fault identification of medical electronic equipment. Then， the intelligent fault identification features of medical electronic equipment are extracted， and the intelligent fault identification model of medical electronic equipment is created by pattern recognition technology. Finally， the results of intelligent fault identification of medical electronic equipment is analyzed with specific examples. The results are that the accuracy of intelligent fault identification of medical electronic equipment based on pattern recognition technology is high; the false recognition rate of intelligent fault identification of medical electronic equipment is extremely low， and the efficiency of intelligent fault identification of medical electronic equipment is higher than that of traditional methods. The comparison results have verified the superiority of intelligent fault identification of medical electronic equipment based on pattern recognition technology.

Keywords： pattern recognition technology; medical electronic equipment; intelligent fault identification; fault classifier; signal acquisition; identification efficiency

0  引  言

近年来，随着电子技术和集成电路的不断发展和成熟，其与许多领域中的技术进行了有效融合，其中，医疗电子设备是一种重要融合成果。医疗电子设备在实际应用过程中，由于设备的老化、工作环境影响以及其他原因干扰，难免会出现一定的故障，当医疗电子设备出现小的故障时，不能正常工作，影响医院的业务，严重时，直接导致医疗电子设备报废[1?3]。医疗电子设备故障辨识可以帮助设备管理人员了解医疗电子设备变化特点，可以给医疗设备提前进行维护，延长医疗电子设备使用寿命，并且有利于医疗电子设备故障的定位和排除，因此医疗电子设备故障辨识成为当前研究的重点[4?5]。……