生物医学工程研究2024，Vol.43Issue(1)：40-45,6.DOI:10.19529/j.cnki.1672-6278.2024.01.06
基于子时段呼吸暂停和睡眠阶段的脑网络分析与分类
Analysis and classification of brain network based on sub-period apnea and sleep stage
摘要
Abstract
Sleep staging is the basic evaluation of sleep quality.However,sleep apnea(SA)changes the sleep structure of testers,which affects the accurate evaluation of sleep stages.therefore,the accurate detection of SA and sleep stages is very important in the e-valuation of sleep quality.In order to accurately assess sleep stages,we discussed the interaction of functional connections between brain regions by studying the functional connections between brain regions.Using the phase-locked value(PLV)to extract features in sub-periods,and a functional connection network was constructed.Then,the PLV of multiple sub-periods was used for feature fusion,and the classification performance optimization strategy was used for sleep staging.At the same time,the brain network changes of SA and normal breathing were analyzed.The experimental results showed that when the number of sub-periods was 30,the classification result of sleep stage reached 88.87%,and the accuracy of detecting apnea reached 93.7%.The algorithm has good sleep classification and apnea detection performance,and can effectively promote the development and application of EEG sleep classification and apnea detection system.关键词
脑电图/睡眠阶段/分类/脑功能连接/锁相值/睡眠呼吸暂停Key words
Electroencephalography/Sleep stage/Classification/Brain functional connectivity/Phase-locked value/Sleep apnea分类
医药卫生引用本文复制引用
赵今朝,唐吉友,鲁珊珊,刘铭,江秀全,史维友,娄宜泰,冷建材,徐舫舟,冯超,杨清波..基于子时段呼吸暂停和睡眠阶段的脑网络分析与分类[J].生物医学工程研究,2024,43(1):40-45,6.基金项目
国家自然科学基金(62271293) （62271293）
山东省自然基金(ZR2022MF289,ZR2019MA037,ZR2020MH160) （ZR2022MF289,ZR2019MA037,ZR2020MH160）
山东大学青年创新研究团队项目(2019KJN010) （2019KJN010）
2021济南市"新高校20条"资助项目(2021GXRC071) （2021GXRC071）
济南市科技局科研带头人项目(2019GXRC061) （2019GXRC061）
齐鲁工业大学2021年校级一般教学改革项目(2021yb08) （2021yb08）
齐鲁工业大学2022年人才培养和教学改革项目(P202204). （P202204）
