A review on transfer learning in EEG signal analysis
Electroencephalogram (EEG) signal analysis, which is widely used for human-computer
interaction and neurological disease diagnosis, requires a large amount of labeled data for …
interaction and neurological disease diagnosis, requires a large amount of labeled data for …
Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: recommendations of an expert panel
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Gains in cognition through combined cognitive and physical training: the role of training dosage and severity of neurocognitive disorder
Physical as well as cognitive training interventions improve specific cognitive functions but
effects barely generalize on global cognition. Combined physical and cognitive training may …
effects barely generalize on global cognition. Combined physical and cognitive training may …
Single slice based detection for Alzheimer's disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization
Detection of Alzheimer's disease (AD) from magnetic resonance images can help
neuroradiologists to make decision rapidly and avoid missing slight lesions in the brain …
neuroradiologists to make decision rapidly and avoid missing slight lesions in the brain …
Design, implementation, and wide pilot deployment of FitForAll: an easy to use exergaming platform improving physical fitness and life quality of senior citizens
EI Konstantinidis, AS Billis… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Many platforms have emerged as response to the call for technology supporting active and
healthy aging. Key requirements for any such e-health systems and any subsequent …
healthy aging. Key requirements for any such e-health systems and any subsequent …
Machine learning algorithms and statistical approaches for Alzheimer's disease analysis based on resting-state EEG recordings: A systematic review
Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of
dementia with a great prevalence in western countries. The diagnosis of AD and its …
dementia with a great prevalence in western countries. The diagnosis of AD and its …
Impact of the reference choice on scalp EEG connectivity estimation
F Chella, V Pizzella, F Zappasodi… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …
Detection of pathological brain in MRI scanning based on wavelet-entropy and naive Bayes classifier
X Zhou, S Wang, W Xu, G Ji, P Phillips, P Sun… - … , IWBBIO 2015, Granada …, 2015 - Springer
An accurate diagnosis is important for the medical treatment of patients suffered from brain
disease. Nuclear magnetic resonance images are commonly used by technicians to assist …
disease. Nuclear magnetic resonance images are commonly used by technicians to assist …