[HTML][HTML] Advanced bioelectrical signal processing methods: Past, present and future approach—part ii: Brain signals
As it was mentioned in the previous part of this work (Part I)—the advanced signal
processing methods are one of the quickest and the most dynamically developing scientific …
processing methods are one of the quickest and the most dynamically developing scientific …
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Epileptic seizures are characterised by abnormal neuronal discharge, causing notable
disturbances in electrical activities of the human brain. Traditional methods based on …
disturbances in electrical activities of the human brain. Traditional methods based on …
[HTML][HTML] Current status and prospects of automatic sleep stages scoring
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …
procedure requires considerable human and financial resources, and incorporates some …
Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal
S Chinara - Journal of neuroscience methods, 2021 - Elsevier
Background Detecting human drowsiness during some critical works like vehicle driving,
crane operating, mining blasting, etc. is one of the safeguards to prevent accidents. Among …
crane operating, mining blasting, etc. is one of the safeguards to prevent accidents. Among …
Investigating the effects of different levels and types of construction noise on emotions using EEG data
Construction noise can affect human health and wellbeing through its negative effects on
emotions. This study used EEG data to investigate the effects of different types and levels of …
emotions. This study used EEG data to investigate the effects of different types and levels of …
Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features
Y You, X Zhong, G Liu, Z Yang - Artificial Intelligence in Medicine, 2022 - Elsevier
This work proposed a novel method for automatic sleep stage classification based on the
time, frequency, and fractional Fourier transform (FRFT) domain features extracted from a …
time, frequency, and fractional Fourier transform (FRFT) domain features extracted from a …
[HTML][HTML] An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Effective sleep monitoring from electroencephalogram (EEG) signals is meaningful for the
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
Estimation of sleep stages analyzing respiratory and movement signals
The scoring of sleep stages is an essential part of sleep studies. The main objective of this
research is to provide an algorithm for the automatic classification of sleep stages using …
research is to provide an algorithm for the automatic classification of sleep stages using …
[HTML][HTML] An automatic sleep stage classification algorithm using improved model based essence features
H Shen, F Ran, M Xu, A Guez, A Li, A Guo - Sensors, 2020 - mdpi.com
The automatic sleep stage classification technique can facilitate the diagnosis of sleep
disorders and release the medical expert from labor-consumption work. In this paper, novel …
disorders and release the medical expert from labor-consumption work. In this paper, novel …
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine-layer 1D-convolution neural network approach
SK Satapathy, D Loganathan - Multimedia Tools and Applications, 2023 - Springer
Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …
this issue the primary step taken by most of the sleep experts is the sleep staging …