Mixed-input deep learning approach to sleep/wake state classification by using EEG signals
MN Hasan, I Koo - Diagnostics, 2023 - mdpi.com
Sleep stage classification plays a pivotal role in predicting and diagnosing numerous health
issues from human sleep data. Manual sleep staging requires human expertise, which is …
issues from human sleep data. Manual sleep staging requires human expertise, which is …
The effect of coupled electroencephalography signals in electrooculography signals on sleep staging based on deep learning methods
The influence of the coupled electroencephalography (EEG) signal in electrooculography
(EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and …
(EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and …
Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging
G Liu, G Wei, S Sun, D Mao, J Zhang, D Zhao… - Frontiers in …, 2023 - frontiersin.org
The real-time sleep staging algorithm that can perform inference on mobile devices without
burden is a prerequisite for closed-loop sleep modulation. However, current deep learning …
burden is a prerequisite for closed-loop sleep modulation. However, current deep learning …
Analysis of ensemble-combination strategies for improving inter-database generalization of deep-learning-based automatic sleep staging
A Anido–Alonso… - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Deep learning has demonstrated its usefulness in reaching top-level performance on a
number of application domains. However, the achievement of robust prediction capabilities …
number of application domains. However, the achievement of robust prediction capabilities …
[HTML][HTML] 基于迁移学习的随机深度残差网络自动睡眠分期算法
蕴郅田， 强周， 婉李 - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi …, 2023 - ncbi.nlm.nih.gov
现有自动睡眠分期算法存在模型参数量多、 训练耗时长导致分期效率不佳的问题。
本文使用单通道脑电信号， 提出一种基于迁移学习（ TL） 的随机深度（ SD） 残差网络（ ResNet） …
本文使用单通道脑电信号， 提出一种基于迁移学习（ TL） 的随机深度（ SD） 残差网络（ ResNet） …
Automatic sleep staging algorithm for stochastic depth residual networks based on transfer learning
Y Tian, Q Zhou, W Li - Sheng wu yi xue Gong Cheng xue za zhi …, 2023 - europepmc.org
现有自动睡眠分期算法存在模型参数量多, 训练耗时长导致分期效率不佳的问题.
本文使用单通道脑电信号, 提出一种基于迁移学习 (TL) 的随机深度 (SD) 残差网络 (ResNet) …
本文使用单通道脑电信号, 提出一种基于迁移学习 (TL) 的随机深度 (SD) 残差网络 (ResNet) …
Research on human sleep improvement method based on DQN
Y Tian, Q Zhou, W Li - Journal of Ambient Intelligence and …, 2023 - content.iospress.com
To solve the problems of sleep disorders such as difficulty in falling asleep and insufficient
sleep depth caused by uncomfortable indoor temperature, this paper proposes a deep …
sleep depth caused by uncomfortable indoor temperature, this paper proposes a deep …