Detection of EEG K-complexes using fractal dimension of time frequency images technique coupled with undirected graph features
W Al-Salman, Y Li, P Wen - Frontiers in Neuroinformatics, 2019 - frontiersin.org
K-complexes identification is a challenging task in sleep research. The detection of k-
complexes in electroencephalogram (EEG) signals based on visual inspection is time …
complexes in electroencephalogram (EEG) signals based on visual inspection is time …
Generalised rational approximation and its application to improve deep learning classifiers
A rational approximation (that is, approximation by a ratio of two polynomials) is a flexible
alternative to polynomial approximation. In particular, rational functions exhibit accurate …
alternative to polynomial approximation. In particular, rational functions exhibit accurate …
A novel system for automatic detection of K-complexes in sleep EEG
Sleep staging process is applied to diagnose sleep-related disorders by sleep experts
through analyzing sleep signals such as electroencephalogram (EEG), electrooculogram …
through analyzing sleep signals such as electroencephalogram (EEG), electrooculogram …
Detection of epileptic seizure in EEG signals using linear least squares preprocessing
ZR Zamir - Computer methods and programs in biomedicine, 2016 - Elsevier
An epileptic seizure is a transient event of abnormal excessive neuronal discharge in the
brain. This unwanted event can be obstructed by detection of electrical changes in the brain …
brain. This unwanted event can be obstructed by detection of electrical changes in the brain …
K-complex detection based on pattern matched wavelets
K-complex detection is a fundamental requirement during sleep stage analysis. A number of
past studies have used commonly applied wavelets to detect K-complexes. In this study we …
past studies have used commonly applied wavelets to detect K-complexes. In this study we …
Rational and generalised rational Chebyshev approximation problems and their applications
V Peiris - Bulletin of the Australian Mathematical Society, 2023 - cambridge.org
In Chebyshev (uniform) approximation, the goal is to minimise the maximum deviation of the
approximation from the original function. Classical rational Chebyshev approximation is …
approximation from the original function. Classical rational Chebyshev approximation is …
[PDF][PDF] K-complex detection based on synchrosqueezing transform
Z Ghanbari, MH Moradi - AUT Journal of Electrical Engineering, 2017 - eej.aut.ac.ir
K-complex is an underlying pattern in the sleep EEG. Due to the role of sleep studies
inneurophysiologic and cognitive disorders diagnosis, reliable methods for analysis and …
inneurophysiologic and cognitive disorders diagnosis, reliable methods for analysis and …
Rational approximation and its application to improving deep learning classifiers
A rational approximation by a ratio of polynomial functions is a flexible alternative to
polynomial approximation. In particular, rational functions exhibit accurate estimations to …
polynomial approximation. In particular, rational functions exhibit accurate estimations to …
Automatic Identification of K-complex in Sleep EEG Signal for Clinical Practice
Sleep is one of the prime natural activities for human well-being in physical, emotional, and
mental aspects. The assessment of sleep EEG requires in the diagnosis of some sleep …
mental aspects. The assessment of sleep EEG requires in the diagnosis of some sleep …
Detection of K-complexes in sleep EEG with support vector machines
Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where
brain activity is more stable than waking. Transient waveforms observed in sleep …
brain activity is more stable than waking. Transient waveforms observed in sleep …