Automatic Sleep Stage Classification Based on Convolutional Neural Networks

机译：基于卷积神经网络的自动睡眠阶段分类

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This paper proposes a CNN model for automatic sleep stage scoring based on 4 Electroencephalogram (EEG) and 2 Electrooculogram (EOG) channels. Clinically, this task is done manually using polysomnographic (PSG) records by highly trained professional sleep experts, which is slow and labor-intensive. The proposed method was evaluated using PSG data from 184 subjects, recorded in Fukushima Oostsuki Clinic, Fukushima, Japan. The model showed an overall accuracy of 84.13% and precision, recall and, F_1score measures were calculated as ～ 84%. Clearly, this model is capable of classifying sleep stages without employing any hand engineered features.

机译：本文提出了一种基于4个脑电图（EEG）和2个电帘线（EOG）通道的自动睡眠阶段评分的CNN模型。临床上，这项任务是使用PolySomnographic（PSG）记录手动完成的，由训练有素的专业睡眠专家进行缓慢和劳动密集型。使用来自184个科目的PSG数据评估所提出的方法，记录在福岛Oostsuki诊所，日本福岛福岛。该模型显示出84.13％和精确，召回和，F_1Score措施计算为〜84％。显然，该模型能够在不采用任何手工工程功能的情况下进行睡眠阶段进行分类。

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《IEEE Global Conference on Life Sciences and Technologies》|2019年|301p|共2页
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作者
Isuru Niroshana S. M.; Xin Zhu; Yin Chen; Wenxi Chen;
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中图分类 R318-53;
关键词
CNN; Sleep stage scoring; Deep learning; EEG; EOG;

机译：CNN;睡眠阶段得分;深入学习;脑电图;Eog;

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专利

1. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG [J] . Zhang Junming, Yao Ruxian, Ge Wengeng, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：基于单通道脑电图的自动睡眠阶段分类正交卷积神经网络
2. A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model [J] . Yang Bufang, Zhu Xilin, Liu Yitian, Biomedical signal processing and control . 2021,第Pta1期

机译：基于单通道eEG的自动睡眠阶段分类方法利用深层一维卷积神经网络和隐马尔可夫模型
3. Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments [J] . Cui Zhihong, Zheng Xiangwei, Shao Xuexiao, Complexity . 2018,第1期

机译：基于卷积神经网络和细粒度段的自动睡眠阶段分类
4. Automatic Sleep Stage Classification Based on Convolutional Neural Networks [C] . Isuru Niroshana S. M., Xin Zhu, Yin Chen, IEEE Global Conference on Life Sciences and Technologies . 2019

机译：基于卷积神经网络的自动睡眠阶段分类
5. Automatic classification of human sleep stages using artificial neural networks [D] . Barragan, Jaime 2005

机译：使用人工神经网络对人类睡眠阶段进行自动分类
6. Multi-Branch Convolutional Neural Network for Automatic Sleep Stage Classification with Embedded Stage Refinement and Residual Attention Channel Fusion [O] . Tianqi Zhu, Wei Luo, Feng Yu 2020

机译：用于自动睡眠阶段分类的多分支卷积神经网络嵌入式阶段改进和残余注意力信道融合
7. Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments [O] . Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, 2018

机译：基于卷积神经网络和细粒度段的自动睡眠阶段分类

Automatic Sleep Stage Classification Based on Convolutional Neural Networks

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