自动化与信息工程2024，Vol.45Issue(3)：51-55,5.DOI:10.3969/j.issn.1674-2605.2024.03.008
基于Mixup的心电图多标签异常心律检测方法
Multi Label Abnormal Heart Rate Detection Method for ECG Based on Mixup
摘要
Abstract
Multi label abnormal heart rate detection method based on Mixup is proposed to address the high variability of electrocardiograms between different samples and the insufficient generalization ability of deep learning models.Firstly,the electrocardiogram is mixed with white noise using the Mixup method;Then,use mixed samples to train deep learning models;Finally,the experiment was conducted on the CPSC 2018 dataset,compared to Inception-ResNet-v2,MLC-CNN,STA-CRNN,the F1 scores of this method have increased by 0.014,0.031,and 0.023,respectively.关键词
Mixup方法/心电图/多标签/异常心律检测/深度学习模型Key words
Mixup method/electrocardiogram/multi label/abnormal heart rate detection/deep learning models分类
信息技术与安全科学引用本文复制引用
倪娟,王剑卓..基于Mixup的心电图多标签异常心律检测方法[J].自动化与信息工程,2024,45(3):51-55,5.基金项目
广东省自然科学基金(2022A1515011445) （2022A1515011445）
广东省药品监督管理局科技项目(2022YDZ06). （2022YDZ06）
