AIMC Topic: Electroencephalography

Clear Filters Showing 1711 to 1720 of 2146 articles

Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 22, 2015
A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Vir...
Treatment Outcome Magnetic Resonance Imaging Monitoring, Physiologic Recovery of Function Biomechanical Phenomena Male Middle Aged User-Computer Interface Psychomotor Performance Cerebral Cortex Functional Laterality Stroke Rehabilitation Movement Disorders Robotics Electroencephalography Stroke Activities of Daily Living Precision Medicine Female Aged Humans Brain
View on PubMed DOI

Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI.

Computational intelligence and neuroscience Apr 21, 2015
This paper presents an investigation aimed at drastically reducing the processing burden required by motor imagery brain-computer interface (BCI) systems based on electroencephalography (EEG). In this research, the focus has moved from the channel to...
Brain Waves Fuzzy Logic Humans Electroencephalography Signal Processing, Computer-Assisted Algorithms Brain-Computer Interfaces Brain Reproducibility of Results
View on PubMed DOI

Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2015
The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and...
Humans Opioid-Related Disorders Nerve Net Narcotics Opiate Substitution Treatment Models, Neurological Neural Networks, Computer Artificial Intelligence Brain Mapping Brain Electroencephalography Adult Methadone
View on PubMed DOI

Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

Medical & biological engineering & computing Mar 13, 2015
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the problem of detecting alcoholism in the cerebral motor cortex. The EEG signals were recorded from chroni...
Humans Adult Male Case-Control Studies Electroencephalography Signal Processing, Computer-Assisted Alcoholism Motor Cortex Support Vector Machine Fuzzy Logic Cluster Analysis Chronic Disease
View on PubMed DOI

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...
Task Performance and Analysis Photic Stimulation Communication Devices for People with Disabilities Word Processing Sensitivity and Specificity Male Models, Neurological Natural Language Processing Electroencephalography Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Language Female Reproducibility of Results Humans Adult Machine Learning Algorithms
View on PubMed DOI

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

IEEE transactions on neural networks and learning systems Feb 26, 2015
Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroencephalogram (EEG) classification. The challenges are controlling the complexity of the learning algorithm so as to alleviate the curse of dimensionality...
Humans Brain-Computer Interfaces Brain Neural Networks, Computer Algorithms Discriminant Analysis Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Multi-motion robots control based on bioelectric signals from single-channel dry electrode.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 11, 2015
This article presents a multi-motion control system to help severe disabled people operate an auxiliary appliance using neck-up bioelectric signals measured by a single-channel dry electrode on the forehead. The single-channel dry-electrode multi-mot...
Blinking Man-Machine Systems Electroencephalography Equipment Design Signal Processing, Computer-Assisted Electrodes Adult Male Persons with Disabilities Humans Robotics Algorithms Female Young Adult
View on PubMed DOI

Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

Journal of clinical monitoring and computing Feb 8, 2015
Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on using simple and efficient methods for SAS detection instead of polysomnography. However, not much work has been done on using nonlinear behavior of ...
Humans Adult Male Middle Aged Case-Control Studies Support Vector Machine Wavelet Analysis Electroencephalography Polysomnography Signal Processing, Computer-Assisted Sleep Apnea Syndromes Nonlinear Dynamics
View on PubMed DOI

Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

BioMed research international Feb 8, 2015
Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectra...
Entropy Aged Adult Electroencephalography Humans Male Signal Processing, Computer-Assisted Middle Aged Neural Networks, Computer Consciousness Female Anesthesia
View on PubMed DOI

Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Physiological measurement Feb 5, 2015
Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection algorithm performance for short seizures through the use of trend templates for seizure onset and end. ...
Fetal Hypoxia Time Factors Support Vector Machine Disease Models, Animal Electroencephalography Sheep, Domestic Asphyxia Information Theory Brain Seizures Animals Signal Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals