A Systematic Review and Meta-Analysis on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
TU Wara, AH Fahad, AS Das, MMH Shawon - arXiv preprint arXiv …, 2024 - arxiv.org
Sleep is vital for people's physical and mental health, and sound sleep can help them focus
on daily activities. Therefore, a sleep study that includes sleep patterns and disorders is …
on daily activities. Therefore, a sleep study that includes sleep patterns and disorders is …
Algorithm for drowsiness detection based on hybrid brain network parameter optimization
K Zhang, D Wu, Q Liu, F Dong, J Liu, L Jiang… - … Signal Processing and …, 2024 - Elsevier
Drowsiness detection is a test designed to detect a person's reaction ability and speed while
in a state of fatigue. This type of drowsiness detection has many practical applications in …
in a state of fatigue. This type of drowsiness detection has many practical applications in …
Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques
MR Mohammed, AM Sagheer - Algorithms, 2024 - mdpi.com
One of the most essential components of human life is sleep. One of the first steps in spotting
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …
Applying Machine Learning Algorithms for the Classification of Sleep Disorders
T Alshammari - IEEE Access, 2024 - ieeexplore.ieee.org
Sleep disorder classification is crucial in improving human quality of life. Sleep disorders
and apnoea can have a significant influence on human health. Sleep-stage classification by …
and apnoea can have a significant influence on human health. Sleep-stage classification by …
Comparative Study of Brain Signals for Early Detection of Sleep Disorder Using Machine and Deep Learning Algorithm
SK Satapathy, V Patel, M Gandhi… - … in Technology and …, 2024 - ieeexplore.ieee.org
Sleep disorders are a common health concern affecting a significant portion of the global
population. Early detection and intervention are crucial for preventing the detrimental impact …
population. Early detection and intervention are crucial for preventing the detrimental impact …
An Effective Framework for Predicting Stroke Prediction using Machine Learning Technique
SK Satapathy, HK Kondaveeti… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Today, adequately trained machine learning algorithms can be significantly used in fields
such as surveillance, medicine, and data management to identify and provide solutions to …
such as surveillance, medicine, and data management to identify and provide solutions to …
[PDF][PDF] PERFORMANCE IMPROVEMENT WITH OPTIMIZATION OF MACHINE LEARNING METHODS FOR SLEEP STAGE CLASSIFICATION FROM EEG SIGNALS
Every human spends one third of his life sleeping. This rate increases in infancy, childhood,
and youth, and decreases in adulthood and advanced ages. Sleep is the period when the …
and youth, and decreases in adulthood and advanced ages. Sleep is the period when the …