AIMC Topic: Electroencephalography

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A novel, fast and efficient single-sensor automatic sleep-stage classification based on complementary cross-frequency coupling estimates.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jan 31, 2018
OBJECTIVE: Limitations of the manual scoring of polysomnograms, which include data from electroencephalogram (EEG), electro-oculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) channels have long been recognized. Manual staging is resour...
Electroencephalography Polysomnography Sleep Stages Humans Machine Learning Time Factors
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Spatial-Temporal Recurrent Neural Network for Emotion Recognition.

IEEE transactions on cybernetics Jan 30, 2018
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal depend...
Facial Expression Humans Databases, Factual Female Emotions Electroencephalography Signal Processing, Computer-Assisted Video Recording Male Deep Learning Image Processing, Computer-Assisted
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Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls.

Brain topography Jan 29, 2018
Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Mult...
Scalp Cognition Electroencephalography Multiple Sclerosis Neuropsychological Tests Adult Male Middle Aged Humans Machine Learning Brain Female
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Classification of Pre-Clinical Seizure States Using Scalp EEG Cross-Frequency Coupling Features.

IEEE transactions on bio-medical engineering Jan 25, 2018
OBJECTIVE: This work proposes a machine-learning based system for a scalp EEG that flags an alarm in advance of a clinical seizure onset.
Scalp ROC Curve Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Machine Learning
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A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification.

Computational and mathematical methods in medicine Jan 23, 2018
Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-computer interfaces (BCI). We introduced a feature extraction approach based on frequency domain analysis to improve the classification performance on diffe...
Humans Algorithms Brain Female Support Vector Machine Electroencephalography Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces Movement
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Robot-guided stereoelectroencephalography without a computed tomography scan for referencing: Analysis of accuracy.

The international journal of medical robotics + computer assisted surgery : MRCAS Jan 8, 2018
OBJECTIVE: Recent studies with robot-guided stereotaxy use computed tomography (CT) scans for referencing. We will provide evidence that using preoperative MRI datasets referenced with a laser scan of the patient's face is sufficient for sEEG implant...
Middle Aged Robotics Electroencephalography Humans Prospective Studies Tomography, X-Ray Computed Female Adult Male
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Improving the anesthetic process by a fuzzy rule based medical decision system.

Artificial intelligence in medicine Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Humans Decision Support Techniques Clinical Decision-Making Female Time Factors Intraoperative Neurophysiological Monitoring Decision Support Systems, Clinical Fuzzy Logic Adult Male Middle Aged Anesthesia, Intravenous Brain Waves Consciousness Monitors Electroencephalography Signal Processing, Computer-Assisted Anesthetics, Intravenous Infusion Pumps Propofol Predictive Value of Tests Infusions, Intravenous
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Predictive Value of Tests Electroencephalography Seizures Signal Processing, Computer-Assisted Time Factors Support Vector Machine Brain Mapping Wavelet Analysis Brain Waves Cloud Computing Electrocorticography Automation False Negative Reactions False Positive Reactions Humans Neural Networks, Computer Brain Reproducibility of Results
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Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.

International journal of neural systems Dec 28, 2017
The brain activity observed on EEG electrodes is influenced by volume conduction and functional connectivity of a person performing a task. When the task is a biometric test the EEG signals represent the unique "brain print", which is defined by the ...
Axon Guidance Electroencephalography Signal Processing, Computer-Assisted Biometric Identification Humans Neural Networks, Computer Algorithms Brain Regression Analysis Brain Mapping
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Focal Onset Seizure Prediction Using Convolutional Networks.

IEEE transactions on bio-medical engineering Dec 25, 2017
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to ...
Scalp Databases, Factual Electroencephalography Seizures Wavelet Analysis Humans Neural Networks, Computer Algorithms
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