Identification of resting and active state EEG features of Alzheimer's disease using discrete wavelet transform
P Ghorbanian, DM Devilbiss, A Verma… - Annals of biomedical …, 2013 - Springer
Alzheimer's disease (AD) is associated with deficits in a number of cognitive processes and
executive functions. Moreover, abnormalities in the electroencephalogram (EEG) power …
executive functions. Moreover, abnormalities in the electroencephalogram (EEG) power …
A sequential method using multiplicative extreme learning machine for epileptic seizure detection
D Li, Q Xie, Q Jin, K Hirasawa - Neurocomputing, 2016 - Elsevier
Epilepsy, one of the most common neurological disorders of the human brain, is
unpredictable and irregular. There is much difficulty involved in its detection. Here, a …
unpredictable and irregular. There is much difficulty involved in its detection. Here, a …
Exploration of EEG features of Alzheimer's disease using continuous wavelet transform
P Ghorbanian, DM Devilbiss, T Hess… - Medical & biological …, 2015 - Springer
We have developed a novel approach to elucidate several discriminating EEG features of
Alzheimer's disease. The approach is based on the use of a variety of continuous wavelet …
Alzheimer's disease. The approach is based on the use of a variety of continuous wavelet …
Discrete wavelet transform EEG features of Alzheimer's disease in activated states
P Ghorbanian, DM Devilbiss, AJ Simon… - … Conference of the …, 2012 - ieeexplore.ieee.org
In this study, electroencephalogram (EEG) signals obtained by a single-electrode device
from 24 subjects-10 with Alzheimer's disease (AD) and 14 age-matched Controls (CN)-were …
from 24 subjects-10 with Alzheimer's disease (AD) and 14 age-matched Controls (CN)-were …
A phenomenological model of EEG based on the dynamics of a stochastic Duffing-van der Pol oscillator network
In this work, we propose a novel phenomenological model of the EEG signal based on the
dynamics of a coupled Duffing-van der Pol oscillator network. An optimization scheme is …
dynamics of a coupled Duffing-van der Pol oscillator network. An optimization scheme is …
Stochastic dynamic modeling of the human brain EEG signal
P Ghorbanian, S Ramakrishnan… - Dynamic …, 2013 - asmedigitalcollection.asme.org
The occurrence and risk of recurrence of brain related injuries and diseases are difficult to
characterize due to various factors including inter-individual variability. A useful approach is …
characterize due to various factors including inter-individual variability. A useful approach is …
Continuous wavelet transform EEG features of Alzheimer's disease
P Ghorbanian, DM Devilbiss… - Dynamic …, 2012 - asmedigitalcollection.asme.org
In this study, we applied the continuous wavelet transform (CWT) to determine
electroencephalogram (EEG) discriminating features of Alzheimer's Disease (AD) patients …
electroencephalogram (EEG) discriminating features of Alzheimer's Disease (AD) patients …
[图书][B] Non-Stationary Time Series Analysis and Stochastic Modeling of EEG and its Application to Alzheimer's Disease
P Ghorbanian - 2014 - search.proquest.com
The electroencephalography (EEG) reflects the averaged electrical activity of large numbers
of cortical neurons associated with different neural information processing of brain regions …
of cortical neurons associated with different neural information processing of brain regions …
Нейропсихологические корреляты внимания человека на ЭЭГ в монотонной активности: устойчивость при хронических болевых синдромах и возрастных …
АЕ Руннова, РР Парсамян - Нелинейная динамика в когнитивных …, 2021 - elibrary.ru
В настоящее время в развитых странах наблюдается выраженная тенденция старения
популяции, что сопровождается целым рядом социально-медицинских проблем, среди …
популяции, что сопровождается целым рядом социально-медицинских проблем, среди …