AIMC Topic: Electroencephalography

Clear Filters Showing 1571 to 1580 of 2146 articles

Mathematic Network of Seizure Activity: How Presurgical Simulation Can Predict Postsurgical Success.

World neurosurgery Nov 11, 2017
Neural Networks, Computer Computer Simulation Treatment Outcome Preoperative Care Mathematical Computing Electroencephalography Humans Epilepsy
View on PubMed DOI

Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding.

Scientific reports Nov 8, 2017
When encoding visual targets using various lagged versions of a pseudorandom binary sequence of luminance changes, the EEG signal recorded over the viewer's occipital pole exhibits so-called code-modulated visual evoked potentials (cVEPs), the phase ...
Female Young Adult Brain-Computer Interfaces Adult Evoked Potentials, Visual Male Photic Stimulation Humans Adolescent Visual Perception Algorithms Support Vector Machine Brain Electroencephalography
View on PubMed DOI

Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces.

Computational intelligence and neuroscience Nov 7, 2017
From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) to assist people that somehow find it difficult or impossible to perform certain activities. Focusing on...
Time Perception Male User-Computer Interface Time Factors Neuropsychological Tests Humans Electroencephalography Neural Networks, Computer Event-Related Potentials, P300 Space Perception Brain-Computer Interfaces Brain Auditory Perception Analysis of Variance Female
View on PubMed DOI

CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.

Computers in biology and medicine Oct 24, 2017
BACKGROUND: Classification of electroencephalography (EEG) signals for motor imagery based brain computer interface (MI-BCI) is an exigent task and common spatial pattern (CSP) has been extensively explored for this purpose. In this work, we focused ...
Humans Support Vector Machine Electroencephalography Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces
View on PubMed DOI

Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Medical & biological engineering & computing Oct 18, 2017
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke. To avoid this, stress quantification is important for clinical intervention and disease prevention...
ROC Curve Support Vector Machine Electroencephalography Young Adult Male Stress, Psychological Electrodes Multilevel Analysis Alpha Rhythm Humans
View on PubMed DOI

Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.

Sensors (Basel, Switzerland) Oct 7, 2017
In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture model (GMM)-supervector to enhance training speed and classification accuracy in motor imagery brain-computer interfaces. The proposed method is configur...
Humans Algorithms Support Vector Machine Electroencephalography Neurology Normal Distribution Models, Biological Brain-Computer Interfaces Wavelet Analysis
View on PubMed DOI

Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Sep 30, 2017
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted ...
Child Electroencephalography Evoked Potentials Algorithms Attention Deficit Disorder with Hyperactivity Humans Male Stroop Test Machine Learning Time Factors
View on PubMed DOI

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes.

NeuroImage. Clinical Sep 28, 2017
OBJECTIVE: To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity.
Area Under Curve Female Male Electroencephalography Functional Laterality Humans Electronic Data Processing Follow-Up Studies Machine Learning Retrospective Studies Brain Waves Epilepsy, Temporal Lobe
View on PubMed DOI

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.

Computers in biology and medicine Sep 27, 2017
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The EEG signal contains information about the electrical activity of the brain. Traditionally, neurologists employ direct visual inspection to identify epi...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Electroencephalography Epilepsy Machine Learning Seizures Female Male
View on PubMed DOI

Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem.

PLoS computational biology Sep 25, 2017
There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiologic...
Speech Recognition Software Speech Perception Magnetoencephalography Male Models, Neurological Electroencephalography Humans Young Adult Neural Networks, Computer Adult Brain Female
View on PubMed DOI
Popular Topics
Recent Journals