AIMC Topic: Electroencephalography

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Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

Journal of medical systems Mar 26, 2019
In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimensional Phase Space. The computational complexity in higher dimension is reduced by Principal Component Analysis for the High dimensional Phase Space ou...
Signal Processing, Computer-Assisted Cerebral Cortex Principal Component Analysis Bayes Theorem Electroencephalography Humans Epilepsy Sensitivity and Specificity Support Vector Machine
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Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.

Journal of affective disorders Mar 20, 2019
OBJECTIVE: Major depression disorder (MDD) is one of the most prevalent mental disorders worldwide. Diagnosing depression in the early stage is crucial to treatment process. However, due to depression's comorbid nature and the subjectivity in diagnos...
Female Young Adult Adult Support Vector Machine Male Humans Depressive Disorder, Major Electroencephalography Machine Learning Case-Control Studies Galvanic Skin Response Algorithms Logistic Models Eye Movement Measurements
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Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition.

Neural computation Mar 18, 2019
Practical motor imagery electroencephalogram (EEG) data-based applications are limited by the waste of unlabeled samples in supervised learning and excessive time consumption in the pretraining period. A semisupervised deep stacking network with an a...
Software Brain Electroencephalography Signal Processing, Computer-Assisted Humans Machine Learning Imagination Pattern Recognition, Automated Brain-Computer Interfaces Motor Activity
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Human electrocortical dynamics while stepping over obstacles.

Scientific reports Mar 18, 2019
To better understand human brain dynamics during visually guided locomotion, we developed a method of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects walking and running over obstacles on a treadmill. We ...
Healthy Volunteers Artifacts Locomotion Motor Cortex Walking Gait Electrodes Parietal Lobe Humans Female Male Electroencephalography Exercise Test Brain Mapping Robotics
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Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

IEEE transactions on neural networks and learning systems Mar 15, 2019
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physical well-being and pathological conditions. A prerequisite for further analysis is the identification of the sleep macroarchitecture through manual sle...
Algorithms Cerebral Cortex Reproducibility of Results Wavelet Analysis Electroencephalography Young Adult Sleep Stages Signal Processing, Computer-Assisted Electroencephalography Phase Synchronization Automation Middle Aged Humans Adult Deep Learning Neural Networks, Computer Male
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On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 13, 2019
Brain-computer interfaces (BCI) harnessing steady state visual evoked potentials (SSVEPs) manipulate the frequency and phase of visual stimuli to generate predictable oscillations in neural activity. For BCI spellers, oscillations are matched with al...
Brain-Computer Interfaces Communication Devices for People with Disabilities Evoked Potentials, Somatosensory Humans Neural Networks, Computer Female Electrodes Male Algorithms Cues Young Adult Electroencephalography Adult
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Sleep staging from single-channel EEG with multi-scale feature and contextual information.

Sleep & breathing = Schlaf & Atmung Mar 12, 2019
PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to propose a single-channel EEG sleep staging model, SleepStageNet, which e...
Humans Neural Networks, Computer Female Aged Electroencephalography Feasibility Studies Adult Polysomnography Male Sleep Stages Middle Aged
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Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2019
Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp upward trend in the incidence rate. Recently, early diagnosis of AD employing Electroencephalogram (EEG) as a specific hallmark has been an increasingly signific...
Humans Alzheimer Disease Early Diagnosis Deep Learning Electroencephalography
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Learning joint space-time-frequency features for EEG decoding on small labeled data.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2019
Brain-computer interfaces (BCIs), which control external equipment using cerebral activity, have received considerable attention recently. Translating brain activities measured by electroencephalography (EEG) into correct control commands is a critic...
Electroencephalography Brain-Computer Interfaces Humans Neural Networks, Computer Machine Learning
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Cyborg groups enhance face recognition in crowded environments.

PloS one Mar 6, 2019
Recognizing a person in a crowded environment is a challenging, yet critical, visual-search task for both humans and machine-vision algorithms. This paper explores the possibility of combining a residual neural network (ResNet), brain-computer interf...
Decision Making Electroencephalography Reaction Time Female Evoked Potentials, Visual Humans Adult Healthy Volunteers Facial Recognition Neural Networks, Computer Male Brain-Computer Interfaces Brain
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