The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods.
The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods.
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DOI：
10.3390/bioengineering10050573
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发表时间：
2023-05-10
影响因子：
4.6
通讯作者：
Chen, Wei
中科院分区：
文献类型：
--
作者：
Zhu, Hangyu;Fu, Cong;Shu, Feng;Yu, Huan;Chen, Chen;Chen, Wei
眼电图（EOG）中的耦合脑电图（EEG）信号对基于EOG的自动睡眠分期的影响一直被忽视。由于EOG和前额叶EEG是近距离采集的，因此EOG中是否存在EEG耦合，以及EOG信号本身的特性是否能达到良好的睡眠分期效果尚不清楚。在本文中，耦合EEG信号中的EOG信号的自动睡眠分期的效果进行了探讨。利用盲源分离算法提取出纯净的前额叶脑电信号。然后对原始EOG信号和干净的前额叶脑电信号进行处理，得到耦合不同脑电信号内容的EOG信号。然后，耦合EOG信号被送入一个分层神经网络，包括卷积神经网络和递归神经网络的自动睡眠分期。最后，使用两个公共数据集和一个临床数据集进行了探索。结果表明，使用耦合EOG信号可以实现80.4%，81.1%和78.9%的准确性为三个数据集，略优于睡眠分期使用EOG信号没有耦合EEG的准确性。因此，在EOG信号中耦合EEG信号的适当内容改善了睡眠分期结果。本文为利用眼电信号进行睡眠分期提供了实验依据。
The influence of the coupled electroencephalography (EEG) signal in electrooculography (EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and prefrontal EEG are collected at close range, it is not clear whether EEG couples in EOG or not, and whether or not the EOG signal can achieve good sleep staging results due to its intrinsic characteristics. In this paper, the effect of a coupled EEG signal in an EOG signal on automatic sleep staging is explored. The blind source separation algorithm was used to extract a clean prefrontal EEG signal. Then the raw EOG signal and clean prefrontal EEG signal were processed to obtain EOG signals coupled with different EEG signal contents. Afterwards, the coupled EOG signals were fed into a hierarchical neural network, including a convolutional neural network and recurrent neural network for automatic sleep staging. Finally, an exploration was performed using two public datasets and one clinical dataset. The results showed that using a coupled EOG signal could achieve an accuracy of 80.4%, 81.1%, and 78.9% for the three datasets, slightly better than the accuracy of sleep staging using the EOG signal without coupled EEG. Thus, an appropriate content of coupled EEG signal in an EOG signal improved the sleep staging results. This paper provides an experimental basis for sleep staging with EOG signals.
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影响因子：
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DOI：
10.1109/tcds.2021.3079712
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影响因子：
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DOI：
10.1109/tnsre.2019.2896659
发表时间：
2019-03-01
影响因子：
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作者：
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