AIMC Topic: Electroencephalography

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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Scientific reports Nov 22, 2019
Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to class...
Datasets as Topic Task Performance and Analysis Evoked Potentials Verbal Behavior Brain Mapping Electroencephalography Epilepsy Memory, Short-Term Electrocorticography Biomedical Engineering Electrodes, Implanted Electrophysiological Phenomena Humans Algorithms Brain Retrospective Studies Sensitivity and Specificity Cognition Unsupervised Machine Learning
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Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.

Artificial intelligence in medicine Nov 19, 2019
Due to growth in population, Individual persons with disabilities are increasing daily. To overcome the disability especially in Locked in State (LIS) due to Spinal Cord Injury (SCI), we planned to design four states moving robot from four imagery ta...
Algorithms Computer Simulation Female Reproducibility of Results Young Adult Communication Devices for People with Disabilities Adult Locked-In Syndrome Male Aged Aged, 80 and over Humans Neural Networks, Computer Healthy Volunteers Middle Aged Electroencephalography Brain-Computer Interfaces Electrodes Wavelet Analysis Sex Characteristics Spinal Cord Injuries
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Use of deep learning to detect personalized spatial-frequency abnormalities in EEGs of children with ADHD.

Journal of neural engineering Nov 19, 2019
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurobehavioral disorders. Studies have tried to find the neural correlations of ADHD with electroencephalography (EEG). Due to the heterogeneity in the ADHD popu...
Male Deep Learning Child Electroencephalography Attention Deficit Disorder with Hyperactivity Humans Neural Networks, Computer Precision Medicine Female
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Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Nov 13, 2019
For a brain-computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20-30 min to collect enough data to build a reliable decoder. It is, theref...
Humans Neural Networks, Computer Algorithms Databases, Factual Brain Brain-Computer Interfaces Male Deep Learning Movement Bayes Theorem Female Imagination Electroencephalography Reproducibility of Results Information Theory Young Adult Adult
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Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients.

Artificial intelligence in medicine Nov 9, 2019
Individuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions affect the individual actions like walking, speaking impairment and totally make the person in to locked in state (LIS). To overcome the miserable co...
Locked-In Syndrome Healthy Volunteers Brain-Computer Interfaces Patients Wheelchairs Middle Aged Robotics Electroencephalography Amyotrophic Lateral Sclerosis Humans Neural Networks, Computer Young Adult Adult Male Algorithms Female
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Predicting individual decision-making responses based on single-trial EEG.

NeuroImage Nov 4, 2019
Decision-making plays an essential role in the interpersonal interactions and cognitive processing of individuals. There has been increasing interest in being able to predict an individual's decision-making response (i.e., acceptance or rejection). W...
Signal Processing, Computer-Assisted Supervised Machine Learning Neural Pathways Evoked Potentials Male Decision Making Discriminant Analysis Female Electroencephalography Young Adult Humans Adult Brain
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A Multi-Column CNN Model for Emotion Recognition from EEG Signals.

Sensors (Basel, Switzerland) Oct 31, 2019
We present a multi-column CNN-based model for emotion recognition from EEG signals. Recently, a deep neural network is widely employed for extracting features and recognizing emotions from various biosignals including EEG signals. A decision from a s...
Electroencephalography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Arousal Algorithms Facial Recognition Emotions
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MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks.

Scientific reports Oct 31, 2019
Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use...
Neural Networks, Computer Databases, Factual Animals Male Mice Electroencephalography Polysomnography Sleep Stages
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Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks.

Nature communications Oct 30, 2019
The discovery that deep convolutional neural networks (DCNNs) achieve human performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties to such tasks. Here we show that the face-space geometry, revealed through pa...
Adult Male Middle Aged Electroencephalography Humans Neurons Neural Networks, Computer Female Image Interpretation, Computer-Assisted Young Adult Cerebral Cortex Facial Recognition
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Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

Journal of neural engineering Oct 29, 2019
OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume conduction in different measures of functional connectivity and to characterize the EEG coupling alterations at the different stages of dementia due t...
Nerve Net Models, Anatomic Aged, 80 and over Humans Male Electroencephalography Neural Networks, Computer Alzheimer Disease Brain Female Aged
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