AIMC Topic: Electroencephalography

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A Prototype SSVEP Based Real Time BCI Gaming System.

Computational intelligence and neuroscience Mar 9, 2016
Although brain-computer interface technology is mainly designed with disabled people in mind, it can also be beneficial to healthy subjects, for example, in gaming or virtual reality systems. In this paper we discuss the typical architecture, paradig...
Brain-Computer Interfaces Evoked Potentials Video Games Humans Machine Learning User-Computer Interface Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted
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Multiple classifier systems for automatic sleep scoring in mice.

Journal of neuroscience methods Feb 27, 2016
BACKGROUND: Electroencephalogram (EEG) and electromyogram (EMG) recordings are often used in rodents to study sleep architecture and sleep-associated neural activity. These recordings must be scored to designate what sleep/wake state the animal is in...
Mice Electroencephalography Machine Learning Signal Processing, Computer-Assisted Algorithms Electromyography Animals Sleep Stages
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Effect of Subliminal Lexical Priming on the Subjective Perception of Images: A Machine Learning Approach.

PloS one Feb 11, 2016
The purpose of the study is to examine the effect of subliminal priming in terms of the perception of images influenced by words with positive, negative, and neutral emotional content, through electroencephalograms (EEGs). Participants were instructe...
Machine Learning Algorithms Language Female Young Adult Humans Electroencephalography Reaction Time Affect Analysis of Variance Perception Adult Male Support Vector Machine Emotions Models, Statistical Subliminal Stimulation Normal Distribution Judgment Evoked Potentials Pattern Recognition, Visual
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Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement.

BioMed research international Jan 17, 2016
Although rehabilitation robotics seems to be a promising therapy in the rehabilitation of the upper limb in stroke patients, consensus is still lacking on its additive effects. Therefore, there is a need for determining the possible success of roboti...
Task Performance and Analysis Upper Extremity Stroke Rehabilitation Robotics Electroencephalography Humans Signal Processing, Computer-Assisted Adult Female Electromyography Male Aged Stroke Middle Aged Young Adult Recovery of Function
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A neural-based vocoder implementation for evaluating cochlear implant coding strategies.

Hearing research Jan 14, 2016
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based on purely signal processing techniques. However, these models neither account for various biophysical phenomena, such as neural stochasticity and ref...
Persons with Hearing Disabilities Speech Perception Speech Acoustics Auditory Threshold Voice Quality Adult Cochlear Implantation Loudness Perception Male Stochastic Processes Psychoacoustics Electric Stimulation Humans Electroencephalography Middle Aged Cochlear Implants Neural Networks, Computer Signal Processing, Computer-Assisted Time Factors Prosthesis Design Computer Simulation Acoustic Stimulation Female Auditory Pathways
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A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface.

Computational intelligence and neuroscience Dec 24, 2015
We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI) based on electroencephalography. In particular, we present an ensemble method that can be applied to a varie...
Humans Event-Related Potentials, P300 Spatial Navigation Robotics Brain Electroencephalography Computer Simulation Models, Biological Biomechanical Phenomena Brain-Computer Interfaces Fuzzy Logic Photic Stimulation
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Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Dec 22, 2015
Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve ...
Movement Models, Neurological Humans Models, Statistical Imagination Algorithms Electroencephalography Databases, Factual Probability Support Vector Machine Brain-Computer Interfaces
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Combination of Expert Knowledge and a Genetic Fuzzy Inference System for Automatic Sleep Staging.

IEEE transactions on bio-medical engineering Dec 18, 2015
OBJECTIVE: In this paper, the genetic fuzzy inference system based on expert knowledge for automatic sleep staging was developed.
Fuzzy Logic Electroencephalography Signal Processing, Computer-Assisted Electromyography Sleep Initiation and Maintenance Disorders Polysomnography Sleep Stages Female Young Adult Adult Male Adolescent Humans Algorithms
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Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Humans Machine Learning Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Sensitivity and Specificity Female Word Processing Event-Related Potentials, P300 Reproducibility of Results Male Communication Devices for People with Disabilities Cognition Young Adult Electroencephalography Adult Workload
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A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

IEEE transactions on bio-medical engineering Nov 24, 2015
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain data. As a case study, the method was applied to electroencephalography (EEG) data collected during a G...
Electroencephalography Humans Methadone Machine Learning Neural Networks, Computer Sensitivity and Specificity Opioid-Related Disorders Brain Pattern Recognition, Automated Male Female Diagnosis, Computer-Assisted Reproducibility of Results Cognition Adult
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