CLASSIFICATION OF REM SLEEP BEHAVIOR DISORDER BASED ON CONVOLUTIONAL NEURAL NETWORK USING CARDIOPULMONARY COUPLING SPECTROGRAM

Park J. -U.; Urtnasan E.; Joo E. -Y.; Lee K. -J.

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CLASSIFICATION OF REM SLEEP BEHAVIOR DISORDER BASED ON CONVOLUTIONAL NEURAL NETWORK USING CARDIOPULMONARY COUPLING SPECTROGRAM

机译：基于卷积神经网络使用心肺耦合谱分类的REM睡眠行为障碍的分类

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来源
《Sleep medicine》 |2017年第2017期|共1页
作者
Park J. -U.; Urtnasan E.; Joo E. -Y.; Lee K. -J.;
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作者单位

Yonsei Univ Dept Biomed Engn Wonju South Korea;

Yonsei Univ Dept Biomed Engn Wonju South Korea;

Sungkyunkwan Univ Dept Neurol Samsung Med Ctr Sch Med Seoul South Korea;

Yonsei Univ Dept Biomed Engn Wonju South Korea;

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正文语种 eng
中图分类神经病学与精神病学;
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1. Classification of obstructive sleep apnea with and without REM sleep behavior disorder based on convolutional neural network using cardiopulmonary coupling spectrogram [J] . Park J. -U., Urtnasan E., Joo E. -Y., Journal of sleep research . 2018,第S1期

机译：基于卷积神经网络使用心肺耦合谱分类，无动睡眠呼吸暂停的分类
2. ELECTROPHYSIOLOGICAL DIFFERENCE IN OBSTRUCTIVE SLEEP APNEA WITH OR WITHOUT REM SLEEP BEHAVIOR DISORDER: CARDIOPULMONARY COUPLING ANALYSIS [J] . Song P., Park Y. K., Choi S. J., Sleep medicine . 2017,第期

机译：具有或不含REM睡眠行为障碍的阻塞性睡眠呼吸暂停的电生理学差异：心肺偶联分析
3. AN AUTOMATIC SLEEP SCORING SYSTEM BASED ON ENSEMBLE CONVOLUTIONAL NEURAL NETWORK AND SPECTROGRAM OF SLEEP PHYSIOLOGICAL SIGNAL [J] . Kuo C., Chen G. Sleep . 2020,第Suppla1期

机译：基于集合卷积神经网络的自动睡眠评分系统和睡眠生理信号的谱图
4. IMU-based Spectrogram Approach with Deep Convolutional Neural Networks for Gait Classification [C] . Mau Dung Nguyen, Kyung-Ryoul Mun, Dawoon Jung, IEEE International Conference on Consumer Electronics . 2020

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5. Long distance functional coupling associated with EEG state changes: The examination of phase and amplitude synchrony of neural assemblies across hemispheres during REM and non -REM sleep onset. [D] . von Gizycki, Hans. 2008

机译：与EEG状态变化相关的远距离功能性耦合：在REM和非-REM睡眠发作期间，检查半球神经组件的相位和幅度同步。
6. Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification? [O] . Muhammad Awais, Xi Long, Bin Yin, 2020

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7. Human and bird detection and classification based on Doppler radar spectrograms and vision images using convolutional neural networks [O] . Jnana Sai Abhishek Varma Gokaraju, Weon Keun Song, Min-Ho Ka, 2021

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8. Assessment of Sleep Quality and Sleep Disordered Breathing Based on Cardiopulmonary Coupling. [R] . Mietus, J. E., Peng, C. K., Thomas, R. J., 2005

机译：基于心肺耦合的睡眠质量和睡眠呼吸障碍评估。

CLASSIFICATION OF REM SLEEP BEHAVIOR DISORDER BASED ON CONVOLUTIONAL NEURAL NETWORK USING CARDIOPULMONARY COUPLING SPECTROGRAM

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