首页|基于子时段呼吸暂停和睡眠阶段的脑网络分析与分类

基于子时段呼吸暂停和睡眠阶段的脑网络分析与分类

扫码查看
睡眠分期是评估睡眠质量的基础.然而,睡眠呼吸暂停(sleep apnea,SA)会改变测试者的睡眠结构,进而影响对睡眠分期的准确评估.因此,在评估睡眠质量时,准确检测睡眠呼吸暂停和睡眠分期至关重要.为准确评估睡眠分期,本研究通过研究脑区之间的功能连接,探讨了脑功能连接的相互作用关系.采用锁相值(phase locking value,PLV)在不同时间段上进行特征提取,构建功能连接网络;然后利用多个时间段的PLV进行特征融合,并通过LibSVM(library for support vector ma-chines,LibSVM)结合分类性能优化策略的方法进行睡眠分期.同时,本研究还分析了睡眠呼吸暂停和正常呼吸对脑网络的影响.实验结果显示,睡眠呼吸暂停时的各脑区连通紧密程度大于正常呼吸时,并在子时段数为 30 时,睡眠分期的分类准确率达到了 88.87%,呼吸暂停的检测准确率达到了 93.64%.该算法在睡眠分类和呼吸暂停检测方面表现出良好性能,有助于推动脑电睡眠分类和呼吸暂停检测系统的开发和应用.
Analysis and classification of brain network based on sub-period apnea and sleep stage
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.

ElectroencephalographySleep stageClassificationBrain functional connectivityPhase-locked valueSleep apnea

赵今朝、刘铭、江秀全、史维友、娄宜泰、冷建材、徐舫舟、冯超、杨清波、唐吉友、鲁珊珊

展开 >

齐鲁工业大学(山东省科学院) 光电工程国际化学院,济南 250353

齐鲁工业大学(山东省科学院)数学与统计学院,济南 250353

山东第一医科大学附属第一医院(山东省千佛山医院) 神经内科,山东省免疫研究所,山东省风湿免疫与转化医学重点实验室,济南 250014

脑电图 睡眠阶段 分类 脑功能连接 锁相值 睡眠呼吸暂停

国家自然科学基金山东省自然科学基金山东省自然科学基金山东省自然科学基金山东大学青年创新研究团队项目2021济南市"新高校20条"资助项目济南市科技局科研带头人项目齐鲁工业大学2021年校级一般教学改革项目齐鲁工业大学2022年人才培养和教学改革项目

62271293ZR2022MF289ZR2019MA037ZR2020MH1602019KJN0102021GXRC0712019GXRC0612021yb08P202204

2024

生物医学工程研究
山东生物医学工程学会 山东省医疗器械研究所 山东省千佛山医院

生物医学工程研究

CSTPCD
影响因子:0.512
ISSN:1672-6278
年,卷(期):2024.43(1)
  • 20