Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation

KAI Aboalayon, M Faezipour, WS Almuhammadi… - Entropy, 2016 - mdpi.com
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …

A low computational cost algorithm for REM sleep detection using single channel EEG

SA Imtiaz, E Rodriguez-Villegas - Annals of biomedical engineering, 2014 - Springer
The push towards low-power and wearable sleep systems requires using minimum number
of recording channels to enhance battery life, keep processing load small and be more …

[HTML][HTML] EEG multifractal analysis correlates with cognitive testing scores and clinical staging in mild cognitive impairment

T Zorick, J Landers, A Leuchter… - Journal of Clinical …, 2020 - Elsevier
Alzheimer's disease and mild cognitive impairment are increasingly prevalent global health
concerns in aging industrialized societies. There are only limited non-invasive biomarkers …

A Bayesian framework for multivariate multifractal analysis

L Leon, H Wendt, JY Tourneret… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multifractal analysis has become a reference tool for signal and image processing.
Grounded in the quantification of local regularity fluctuations, it has proven useful in an …

Optimal design of linear phase multi-band stop filters using improved cuckoo search particle swarm optimization

J Dash, B Dam, R Swain - Applied Soft Computing, 2017 - Elsevier
Filtering and design of suitable filters are the basic requirement in most of modern signal
processing networks. In this manuscript, linear phase multiband stop filters (LPMBSFs) are …

Design of multipurpose digital FIR double-band filter using hybrid firefly differential evolution algorithm

J Dash, B Dam, R Swain - Applied Soft Computing, 2017 - Elsevier
Signal filtering can be treated as one of the basic requisite of communication networks.
Design of an appropriate digital filter demands such filter coefficients that will create the …

Resting state electroretinography: An innovative approach to intrinsic retinal function monitoring

M Gauthier, AB Simard, A Polosa, AL Dorfman… - Frontiers in …, 2022 - frontiersin.org
The electroretinogram (ERG) represents the biopotential evoked by the retina in response to
a light stimulus. The flash evoked ERG (fERG) is the ERG modality most frequently used …

Regularity and matching pursuit feature extraction for the detection of epileptic seizures

Z Emigdio, L Trujillo, A Sotelo, P Legrand… - Journal of neuroscience …, 2016 - Elsevier
Background The neurological disorder known as epilepsy is characterized by involuntary
recurrent seizures that diminish a patient's quality of life. Automatic seizure detection can …

Method and apparatus for determining sleep states

U Abeyratne, V Swarnkar - US Patent 10,575,751, 2020 - Google Patents
An apparatus is provided for detecting Macro Sleep Architecture states of a subject such as
WAKE, NREM and REM sleep from a subject's EEG. The apparatus includes an EEG digital …

A tool for analysis and classification of sleep stages

QK Le, QDK Truong - The 2011 International Conference on …, 2011 - ieeexplore.ieee.org
Scoring sleep stages is a critical process in assessing several sleep studies and slumber
disorders. Sleep is classified in two major states: non-rapid-eye-movement (non-REM) sleep …