生物医学工程研究2024，Vol.43Issue(3)：190-199,10.DOI:10.19529/j.cnki.1672-6278.2024.03.03
混合智能在精准睡眠阶段判别中的应用研究
Application of intelligent hybrid systems in precise sleep stage discrimination
摘要
Abstract
In view of the cumbersome manual sleep staging process and the insufficient accuracy or the difficulty in interpreting classification results of automatic sleep staging model,we proposed an automatic sleep staging model based on mixed intelligence,which combined data intelligence and knowledge intelligence to achieve a balance of sleep staging accuracy,interpretability and gener-alization.Firstly,based on any combination of typical electroencephalography(EEG)and electrooculography(EOG)channels,a se-quential full convolutional network and multi-task feature mapping structure of U-Net architecture were constructed.Secondly,by com-bining different sleep map correction methods,the different action ways of knowledge intelligence to rough sleep map was explored.The F1 index of this model on the ISRUC and Sleep EDFx datasets were 0.804 and 0.780,respectively.In addition,the knowledge intelli-gence was used to the excessive jump in the rough sleep map and unreasonable transition of sleep stages.This research can provide an effective interpretive aid for sleep physicians,and has great potential in improving the efficiency of clinical sleep staging.关键词
睡眠分期/混合智能/多任务学习/特征映射/可解释性/睡眠图校正Key words
Sleep stage classification/Hybrid intelligence/Multitask learning/Feature mapping/Interpretability/Sleep graphs cor-rection分类
医药卫生引用本文复制引用
邵益梓,黄柏恺,杜利东,王鹏,李振锋,陈贤祥,方震..混合智能在精准睡眠阶段判别中的应用研究[J].生物医学工程研究,2024,43(3):190-199,10.基金项目
国家重点研发计划(2020YFC2003703) （2020YFC2003703）
国家自然科学基金资助项目(62071451) （62071451）
中国医学科学院医学与健康科技创新工程项目(2019I2M-5-019). （2019I2M-5-019）
