基于神经网络的心电图检测分类综述  

A REVIEW OF CLASSIFICATION OF ECG DETECTION BASED ON NEURAL NETWORK

作　　者：唐建军[1] 李兴秀 华晶[2] 杨富豪 Tang Jianjun;Li Xingxiu;Hua Jing;Yang Fuhao(School of Computer and Information Engineering,Jiangxi Agricultural University,Nanchang 330045,Jiangxi,China;School of Software,Jiangxi Agricultural University,Nanchang 330045,Jiangxi,China)

机构地区：[1]江西农业大学计算机与信息工程学院,江西南昌330045 [2]江西农业大学软件学院,江西南昌330045

出　　处：《计算机应用与软件》2021年第5期1-9,41,共10页Computer Applications and Software

基　　金：国家自然科学基金项目(61861021)。

摘　　要：综述基于神经网络的异常心电图诊断的应用,目的是提供神经网络在该方面的详细研究。概述常见的神经网络算法以及心电信号检测分类的过程。通过回顾近三年的相关文献,重点关注不同网络架构的性能表现,诸如准确度、特异性和敏感性等性能指标。讨论当前研究存在的问题,并进行研究展望。This paper summarized the application of abnormal ECG diagnosis based on neural network,in order to provide a detailed study of neural network in this field.The common neural network algorithms and the process of ECG signal detection and classification are introduced.By reviewing the relevant literature in the past three years,we focused on the performance of different network architectures,such as accuracy,specificity and sensitivity.The problems in the current research were discussed and the research prospects are carried out.

关 键 词：神经网络 心电图 检测分类 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]