Advances in biosignal sensing and signal processing methods with wearable devices
Wearable devices have received significant attention recently for their ability to monitor
critical physiological signals noninvasively, such as electrocardiography …
critical physiological signals noninvasively, such as electrocardiography …
SHNN: A single-channel EEG sleep staging model based on semi-supervised learning
Y Zhang, W Cao, L Feng, M Wang, T Geng… - Expert Systems with …, 2023 - Elsevier
Sleep staging is an essential step in the diagnosis and treatment of sleep-related diseases.
Currently, most supervised learning models face the problem of insufficient labeled data. In …
Currently, most supervised learning models face the problem of insufficient labeled data. In …
[HTML][HTML] A deep learning method approach for sleep stage classification with EEG spectrogram
C Li, Y Qi, X Ding, J Zhao, T Sang, M Lee - International Journal of …, 2022 - mdpi.com
The classification of sleep stages is an important process. However, this process is time-
consuming, subjective, and error-prone. Many automated classification methods use …
consuming, subjective, and error-prone. Many automated classification methods use …
Single-channel EEG sleep staging based on data augmentation and cross-subject discrepancy alleviation
Automatic sleep stage classification is an effective technology compared to conventional
artificial visual inspection in the field of sleep staging. Numerous algorithms based on …
artificial visual inspection in the field of sleep staging. Numerous algorithms based on …
A novel sleep staging network based on multi-scale dual attention
Sleep is extremely important for protecting people's mental and physical health. Once the
sleep disorder occurs, people's lives will be greatly affected. Sleep staging plays an …
sleep disorder occurs, people's lives will be greatly affected. Sleep staging plays an …
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
Sleep relaxes and rests the body by slowing down the metabolism, making us physically
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
A lightweight segmented attention network for sleep staging by fusing local characteristics and adjacent information
Sleep staging is the essential step in sleep quality assessment and sleep disorders
diagnosis. However, most current automatic sleep staging approaches use recurrent neural …
diagnosis. However, most current automatic sleep staging approaches use recurrent neural …
A multi-level damage classification technique of aircraft plate structures using Lamb wave-based deep transfer learning network
Lamb wave-based damage detection is one of the most promising structural health
monitoring (SHM) technologies for aircraft structures. In this paper, a Lamb wave-based …
monitoring (SHM) technologies for aircraft structures. In this paper, a Lamb wave-based …
A dual-stream deep neural network integrated with adaptive boosting for sleep staging
Y Fang, Y Xia, P Chen, J Zhang, Y Zhang - Biomedical Signal Processing …, 2023 - Elsevier
Humans spend about one-third of their time in sleep. Sleep is closely related to human
physical and mental health and is a very important life activity. Automatic sleep stage …
physical and mental health and is a very important life activity. Automatic sleep stage …
[HTML][HTML] SleepXAI: An explainable deep learning approach for multi-class sleep stage identification
Extensive research has been conducted on the automatic classification of sleep stages
utilizing deep neural networks and other neurophysiological markers. However, for sleep …
utilizing deep neural networks and other neurophysiological markers. However, for sleep …