AIMC Topic: Evoked Potentials, Visual

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Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System.

BioMed research international Jun 1, 2017
A novel hybrid brain-computer interface (BCI) based on the electroencephalogram (EEG) signal which consists of a motor imagery- (MI-) based online interactive brain-controlled switch, "teeth clenching" state detector, and a steady-state visual evoked...
Humans Algorithms Writing Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual Movement Female Adult Male Robotics
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A convolutional neural network for steady state visual evoked potential classification under ambulatory environment.

PloS one Feb 22, 2017
The robust analysis of neural signals is a challenging problem. Here, we contribute a convolutional neural network (CNN) for the robust classification of a steady-state visual evoked potentials (SSVEPs) paradigm. We measure electroencephalogram (EEG)...
Humans Neural Networks, Computer Algorithms Brain Brain-Computer Interfaces Electroencephalography Evoked Potentials, Visual Walking Visual Perception
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Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

Journal of neural engineering Jan 10, 2017
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, ...
Sensitivity and Specificity Male Unsupervised Machine Learning Data Interpretation, Statistical Humans Female Reproducibility of Results Adult Electroencephalography Signal Processing, Computer-Assisted Pattern Recognition, Automated Evoked Potentials, Visual Brain Waves Brain-Computer Interfaces Statistics as Topic Visual Perception Visual Cortex
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The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing.

Journal of neuroscience methods Nov 11, 2016
BACKGROUND: Motion-onset visual evoked potentials (mVEP) can provide a softer stimulus with reduced fatigue, and it has potential applications for brain computer interface(BCI)systems. However, the mVEP waveform is seriously masked in the strong back...
Machine Learning Brain Female Young Adult Humans Evoked Potentials, Visual Motion Perception Male Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces
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Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI.

Computational intelligence and neuroscience Jul 26, 2016
Brain-computer interfaces represent a range of acknowledged technologies that translate brain activity into computer commands. The aim of our research is to develop and evaluate a BCI control application for certain assistive technologies that can be...
Neurofeedback Photic Stimulation Automobile Driving Psychomotor Performance Brain-Computer Interfaces Evoked Potentials, Visual Adolescent Automobiles Robotics Electroencephalography Humans Software Algorithms Adult Male Surveys and Questionnaires Female Young Adult
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Pattern recognition for electroencephalographic signals based on continuous neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2016
This study reports the design and implementation of a pattern recognition algorithm to classify electroencephalographic (EEG) signals based on artificial neural networks (NN) described by ordinary differential equations (ODEs). The training method fo...
Evoked Potentials, Visual Photic Stimulation Pattern Recognition, Visual Humans Neural Networks, Computer Algorithms Databases, Factual Electroencephalography Pattern Recognition, Automated
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Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid Robots.

PloS one Nov 12, 2015
In this paper, we evaluate the control performance of SSVEP (steady-state visual evoked potential)- and P300-based models using Cerebot-a mind-controlled humanoid robot platform. Seven subjects with diverse experience participated in experiments conc...
Robotics Reproducibility of Results Humans Evoked Potentials, Visual Electroencephalography Algorithms Event-Related Potentials, P300 Young Adult Signal Processing, Computer-Assisted Brain Adult Brain-Computer Interfaces Female Male
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Increasing N200 Potentials Via Visual Stimulus Depicting Humanoid Robot Behavior.

International journal of neural systems Oct 9, 2015
Achieving recognizable visual event-related potentials plays an important role in improving the success rate in telepresence control of a humanoid robot via N200 or P300 potentials. The aim of this research is to intensively investigate ways to induc...
Event-Related Potentials, P300 Robotics Evoked Potentials, Visual Humans Photic Stimulation Female Evoked Potentials Male
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Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Adult Sensitivity and Specificity Male Evoked Potentials, Visual Humans Models, Neurological Photic Stimulation Natural Language Processing Task Performance and Analysis Machine Learning Algorithms Electroencephalography Communication Devices for People with Disabilities Word Processing Language Pattern Recognition, Automated Female Brain-Computer Interfaces Reproducibility of Results
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An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 2, 2014
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...
Child Natural Language Processing Electroencephalography Information Storage and Retrieval Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Communication Devices for People with Disabilities Young Adult Sensitivity and Specificity Male Humans Adolescent Machine Learning Word Processing Female Reproducibility of Results
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