基于光电储备池计算的室性早搏识别  

Premature ventricular beats recognition based on optoelectronic reservoir computing

作　　者：邢思航 包秀荣[1] XING Sihang;BAO Xiurong(College of Physics and Electronic Information,Inner Mongolia Normal University,Hohhot 010010,China)

机构地区：[1]内蒙古师范大学物理与电子信息学院,呼和浩特010010

出　　处：《激光杂志》2024年第6期248-252,共5页Laser Journal

基　　金：内蒙古自治区自然科学基金项目(No.2020MS06014);内蒙古师范大学基本科研业务费专项资金资助(No.2022JBYJ024)。

摘　　要：基于延迟反馈结构的光电储备池计算系统是一种软硬件设计简单的模拟光信号处理系统,将其成功应用到实时识别室性早搏中,对有效预防和早期治疗心电疾病具有重要的意义。利用马赫-曾德尔调制器附加光电反馈环,建立光电储备池计算模型,并对室性早搏心电图进行了识别。对模型中的关键参数进行了分析和优化,如分析了反馈强度β、输入增益γ、虚拟节点个数N等参数对心电图识别效果的影响,其最佳识别归一化均方误差值NMSE为0.080 9,最佳识别率达到94%,敏感度达到了94.9%。表明该光电储备池计算系统在室性早搏心电图识别方面表现出了良好的性能,简化了现今心电图识别算法的复杂性。The optoelectronic reservoir computing system based on delayed-feedback structure is a kind of analog optical signal processing system with simple-software and simple-hardware design.If it is successfully applied to the real-time recognition of ventricular premature beats,it is of great significance for the effective prevention and early treatment of ECG diseases.In this paper,an optoelectronic reservoir computing model was established using a Mach-Zundel modulator with an optoelectronic feedback loop,and the ventricular premature beat electrocardiogram was rec-ognized.The key parameters of the model were analyzed and optimized.For example,the effects of feedback strengthβ,input gainγ,number of virtual nodes N on electrocardiogram recognition were analyzed.The best recognition nor-malized mean square error(NMSE)was 0.0809,the best recognition rate was 94%,and the sensitivity was 94.9%.The results indicate that the optoelectronic reservoir computing system exhibits a good performance in ventricular pre-mature beats recognition,and simplifies the complexity of current electrocardiogram recognition algorithms.

关 键 词：光电储备池计算 马赫-曾德尔调制器 延迟反馈 室性早搏识别 

分 类 号：TN29[电子电信—物理电子学]