A review of automated sleep stage based on EEG signals
X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
Advances in Modeling and Interpretability of Deep Neural Sleep Staging: A Systematic Review
Sleep staging has a very important role in diagnosing patients with sleep disorders. In
general, this task is very time-consuming for physicians to perform. Deep learning shows …
general, this task is very time-consuming for physicians to perform. Deep learning shows …
Sleep Stage Classification With Multi-Modal Fusion and Denoising Diffusion Model
Sleep stage classification plays a crucial role in sleep quality assessment and sleep
disorder prevention. Nowadays, many studies have developed algorithms for this purpose …
disorder prevention. Nowadays, many studies have developed algorithms for this purpose …
Automated driver drowsiness detection from single-channel eeg signals using convolutional neural networks and transfer learning
A Ghadami, M Mohammadzadeh… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
One of the major causes of road accidents is drowsy driving. Identifying drivers' drowsiness
state is a crucial step in preventing accidents. The state of drowsiness of a driver can be …
state is a crucial step in preventing accidents. The state of drowsiness of a driver can be …
基于深度学习的自动睡眠分期研究综述.
刘颖， 储浩然， 章浩伟 - … Acquisition & Processing/Shu Ju Cai …, 2023 - search.ebscohost.com
睡眠分期是为了分析多导睡眠图记录而进行的重要过程, 在睡眠监测和睡眠障碍诊疗中发挥着
关键作用. 传统的手动睡眠分期需要专业知识, 繁琐且耗时; 而深度学习通过模拟人脑解释信息的 …
关键作用. 传统的手动睡眠分期需要专业知识, 繁琐且耗时; 而深度学习通过模拟人脑解释信息的 …