Clinical aspects of Alzheimer's disease
M Zvěřová - Clinical biochemistry, 2019 - Elsevier
Alzheimer's disease is a progressive, irreversible, incurable, neurodegenerative illness and
the most common of the dementing disorders. It starts usually after 60 years of age and may …
the most common of the dementing disorders. It starts usually after 60 years of age and may …
[HTML][HTML] Neuroimaging modalities in Alzheimer's disease: diagnosis and clinical features
Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive
decline until eventual death. AD affects millions of individuals worldwide in the absence of …
decline until eventual death. AD affects millions of individuals worldwide in the absence of …
[HTML][HTML] Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review
J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
Electroencephalography (EEG) may detect early changes in Alzheimer's disease (AD), a
debilitating progressive neurodegenerative disease. We have developed an automated AD …
debilitating progressive neurodegenerative disease. We have developed an automated AD …
[HTML][HTML] Eeg-based alzheimer's disease recognition using robust-pca and lstm recurrent neural network
M Alessandrini, G Biagetti, P Crippa, L Falaschetti… - Sensors, 2022 - mdpi.com
The use of electroencephalography (EEG) has recently grown as a means to diagnose
neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can …
neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can …
Impact of eeg parameters detecting dementia diseases: A systematic review
LM Sánchez-Reyes, J Rodríguez-Reséndiz… - IEEE …, 2021 - ieeexplore.ieee.org
Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …
[HTML][HTML] Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfaces
Brain–computer interfaces (BCIs) provide bidirectional communication between the brain
and output devices that translate user intent into function. Among the different brain imaging …
and output devices that translate user intent into function. Among the different brain imaging …
A dementia classification framework using frequency and time-frequency features based on EEG signals
Alzheimer's disease (AD) accounts for 60%–70% of all dementia cases, and clinical
diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify …
diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify …
[HTML][HTML] A how-to guide for a precision medicine approach to the diagnosis and treatment of Alzheimer's disease
G Devi - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Article purpose The clinical approach to Alzheimer's disease (AD) is challenging, particularly
in high-functioning individuals. Accurate diagnosis is crucial, especially given the significant …
in high-functioning individuals. Accurate diagnosis is crucial, especially given the significant …
[HTML][HTML] A novel automated autism spectrum disorder detection system
SL Oh, V Jahmunah, N Arunkumar… - Complex & Intelligent …, 2021 - Springer
Autism spectrum disorder (ASD) is a neurological and developmental disorder that begins
early in childhood and lasts throughout a person's life. Autism is influenced by both genetic …
early in childhood and lasts throughout a person's life. Autism is influenced by both genetic …