A systematic review of machine learning models in mental health analysis based on multi-channel multi-modal biometric signals
J Ehiabhi, H Wang - BioMedInformatics, 2023 - mdpi.com
With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …
artificial intelligence and machine learning have attracted much attention in recent years. In …
A deep learning approach to automated sleep stages classification using Multi-Modal Signals
Sleep is one of the elements most vital to human life. However, the modern lifestyle
continues to push people to neglect this critical requirement. With a vast majority of people …
continues to push people to neglect this critical requirement. With a vast majority of people …
Local Pattern Transformation-Based convolutional neural network for sleep stage scoring
Sleep stage scoring is essential for the diagnosis and treatment of sleep disorders.
However, manual sleep scoring is a tedious, time-consuming, and subjective task …
However, manual sleep scoring is a tedious, time-consuming, and subjective task …
Classification of sleep stages from EEG, EOG and EMG signals by SSNet
Classification of sleep stages plays an essential role in diagnosing sleep-related diseases
including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end …
including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end …
An effective hybrid feature selection using entropy weight method for automatic sleep staging
W Wang, J Li, Y Fang, Y Zheng… - Physiological …, 2023 - iopscience.iop.org
Objective. Sleep staging is the basis for sleep quality assessment and diagnosis of sleep-
related disorders. In response to the inadequacy of traditional manual judgement of sleep …
related disorders. In response to the inadequacy of traditional manual judgement of sleep …
Accurate method for sleep stages classification using discriminated features and single eeg channel
Sleep classification can be time-consuming and challenging for professionals since
electroencephalograms (EEGs) need to be segmented, evaluated, and manually annotated …
electroencephalograms (EEGs) need to be segmented, evaluated, and manually annotated …
[PDF][PDF] Competitive Multi-Verse Optimization with Deep Learning Based Sleep Stage Classification.
Sleep plays a vital role in optimum working of the brain and the body. Numerous people
suffer from sleep-oriented illnesses like apnea, insomnia, etc. Sleep stage classification is a …
suffer from sleep-oriented illnesses like apnea, insomnia, etc. Sleep stage classification is a …
Ensemble machine learning models for breast cancer identification
The advances in the Machine Learning (ML) domain, from pattern recognition to
computational statistical learning, have increased its utility for breast cancer as well by …
computational statistical learning, have increased its utility for breast cancer as well by …
A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal
Sleep plays a vital role in human physiological behaviors. Sleep staging is a critical criterion
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …
Multi-task learning for arousal and sleep stage detection using fully convolutional networks
Objective. Sleep is a critical physiological process that plays a vital role in maintaining
physical and mental health. Accurate detection of arousals and sleep stages is essential for …
physical and mental health. Accurate detection of arousals and sleep stages is essential for …