AIMC Topic: Electroencephalography

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Attentional load classification in multiple object tracking task using optimized support vector machine classifier: a step towards cognitive brain-computer interface.

Journal of medical engineering & technology Nov 26, 2021
Cognitive brain-computer interface (cBCI) is an emerging area with applications in neurorehabilitation and performance monitoring. cBCI works on the cognitive brain signal that does not require a person to pay much effort unlike the motor brain-compu...
Attention Brain-Computer Interfaces Cognition Humans Support Vector Machine Electroencephalography
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A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals.

Physical and engineering sciences in medicine Nov 25, 2021
This study presents a method with high accuracy performance that aims to automatically detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature studies using traditional machine learning algorithms, the features ...
Electroencephalography Schizophrenia Humans Machine Learning Deep Learning Neural Networks, Computer
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Neural correlates of word representation vectors in natural language processing models: Evidence from representational similarity analysis of event-related brain potentials.

Psychophysiology Nov 24, 2021
Natural language processing models based on machine learning (ML-NLP models) have been developed to solve practical problems, such as interpreting an Internet search query. These models are not intended to reflect human language comprehension mechani...
Humans Machine Learning Brain Electroencephalography Semantics Nerve Net Young Adult Natural Language Processing Evoked Potentials
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An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition.

Computers in biology and medicine Nov 22, 2021
Domain adaptation (DA) tackles the problem where data from the source domain and target domain have different underlying distributions. In cross-domain (cross-subject or cross-dataset) emotion recognition based on EEG signals, traditional classificat...
Arousal Emotions Electroencephalography Neural Networks, Computer
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Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning.

Journal of neuroscience methods Nov 22, 2021
BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjun...
Sleep Stages Calcium Wakefulness Sleep Mice Animals Electroencephalography Deep Learning Reproducibility of Results
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Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features.

Sensors (Basel, Switzerland) Nov 19, 2021
Epilepsy is a brain disorder disease that affects people's quality of life. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper provides a computer-aided diagnosis system (CADS) for the automatic diagnosis of epil...
Quality of Life Deep Learning Epilepsy Seizures Electroencephalography Humans Algorithms Signal Processing, Computer-Assisted
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A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 10, 2021
OBJECTIVE: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate synthetic EEG data. Another obj...
Epilepsy Deep Learning Humans Seizures Electroencephalography Algorithms
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Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.

Scientific reports Nov 9, 2021
The ability to forecast seizures minutes to hours in advance of an event has been verified using invasive EEG devices, but has not been previously demonstrated using noninvasive wearable devices over long durations in an ambulatory setting. In this s...
Middle Aged Deep Learning Wearable Electronic Devices Adult Male Humans Seizures Female Wrist Young Adult Memory Forecasting Cohort Studies Electroencephalography
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Coherent false seizure prediction in epilepsy, coincidence or providence?

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2021
OBJECTIVE: Seizure forecasting using machine learning is possible, but the performance is far from ideal, as indicated by many false predictions and low specificity. Here, we examine false and missing alarms of two algorithms on long-term datasets to...
Aged Adult Male Databases, Factual Neural Networks, Computer Humans Female Forecasting Middle Aged Electroencephalography Seizures Epilepsy
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Minimum spanning tree based graph neural network for emotion classification using EEG.

Neural networks : the official journal of the International Neural Network Society Nov 3, 2021
Emotion classification based on neurophysiology signals has been a challenging issue in the literature. Recent neuroscience findings suggest that brain network structure underlying the different emotions provides a window in understanding human affec...
Electroencephalography Humans Brain Neural Networks, Computer Emotions
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