基于人工智能的心电辅助诊断系统设计与应用  

Design and application of ECG assisted diagnosis system based on AI

作　　者：曹凯迪 郭建军[1] 高雯[1] 王忠民[3] CAO Kaidi;GUO Jianjun;GAO Wen;WANG Zhongmin(Information Office,Jiangsu Province Hospital,Nanjing 210029,China;School of Biological Science&Medical Engineering,Southeast University,Nanjing 210096,China;Medical Detection Departments Party Branch,Jiangsu Province Hospital,Nanjing 210029,China)

机构地区：[1]江苏省人民医院信息处,江苏南京210029 [2]东南大学生物科学与医学工程学院,江苏南京210096 [3]江苏省人民医院医技党总支,江苏南京210029

出　　处：《无线互联科技》2024年第21期62-65,共4页Wireless Internet Science and Technology

基　　金：中国工程院战略研究与咨询项目,项目编号:2023-DFZD-17-06;南京市科技发展计划项目,项目编号:202205055。

摘　　要：心电图用于分析各种心脏相关疾病,在心血管疾病诊断方面非常重要,而心电图检查数据量大且报告医生水平参差不齐,容易有漏诊或误诊。人工智能的应用使得大规模心电数据的自动诊断得以实现,多种深度学习算法的组合应用使心电特征波的识别效率得到明显提升。文章提出了一种结合传统推理和新兴深度学习算法的心电AI诊断模型,其中QRS波群识别采用自注意力机制的语义分割网络,P波识别采用基于生成对抗网络的半监督学习。该模型在MIT-BIH心律失常数据库上验证,敏感度达到99%。将模型结合心电诊断系统,文章设计了一套基于AI的心电辅助诊断系统并应用于临床业务,可在心电AI的辅助下,减轻医生工作负担,提高医生的工作效率及报告准确率。Electrocardiogram(ECG)is used to analyze various heart-related diseases,which is very important in the diagnosis of cardiovascular diseases.However,due to the large amount of ECG data and the uneven level of reporting doctors,it is easy to be missed or misdiagnosed.The application of artificial intelligence enables automatic diagnosis of large-scale ECG data,and the combination of a variety of deep learning algorithms has significantly improved the recognition efficiency of ECG feature waves.In this paper,the authors proposed an ECG AI diagnosis model combining traditional reasoning and emerging deep learning algorithms.The QRS complex recognition adopts semantic segmentation network with self-attention mechanism,and the P wave recognition adopts semi-supervised learning based on generative adversarial network.The proposed model was validated on MIT-BIH arrhythmia database with a sensitivity of 99%.The model was combined with the ECG diagnosis system,and an AI-based ECG auxiliary diagnosis system was designed and applied in clinical practice.With the assistance of ECG AI,the workload of doctors is reduced,and the work efficiency and reporting accuracy of doctors are improved.

关 键 词：心电图 人工智能 辅助诊断 系统设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]