AIMC Journal:
Journal of neural engineering

Showing 231 to 240 of 244 articles

Incorporating advanced language models into the P300 speller using particle filtering.

Journal of neural engineering Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Word Processing Task Performance and Analysis Event-Related Potentials, P300 Communication Devices for People with Disabilities Sensitivity and Specificity Models, Statistical Brain Mapping Natural Language Processing Electroencephalography Signal Processing, Computer-Assisted Pattern Recognition, Automated Brain-Computer Interfaces Machine Learning Algorithms Computer Simulation Reproducibility of Results Humans
View on PubMed DOI

Word-level language modeling for P300 spellers based on discriminative graphical models.

Journal of neural engineering Feb 16, 2015
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.
Language Electrocardiography Models, Statistical Natural Language Processing Humans Algorithms Computer Simulation Event-Related Potentials, P300 Communication Devices for People with Disabilities Brain-Computer Interfaces Word Processing Task Performance and Analysis Computer Graphics
View on PubMed DOI

Human-inspired sound environment recognition system for assistive vehicles.

Journal of neural engineering Jan 14, 2015
OBJECTIVE: The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct ...
Equipment Failure Analysis Sound Spectrography Sensitivity and Specificity Humans Man-Machine Systems Biomimetics Automobiles Neural Networks, Computer Wheelchairs Pattern Recognition, Automated Robotics Reproducibility of Results Auditory Perception Equipment Design
View on PubMed DOI

Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

Journal of neural engineering Dec 16, 2014
OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven degrees of freedom) by a human subject with tetraplegia using a brain-machine interface (BMI). The cur...
Models, Biological Arm Brain-Computer Interfaces Joints Equipment Failure Analysis Humans Evoked Potentials, Motor Imagination Quadriplegia Computer Simulation Feedback, Physiological Robotics Female Electroencephalography Adult Artificial Limbs Prosthesis Design
View on PubMed DOI

Brain-machine interfaces for controlling lower-limb powered robotic systems.

Journal of neural engineering Apr 1, 2018
OBJECTIVE: Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as novel robotic interventions to assist or rehabilitate people with walking disabilities. These devices are generally controlled by certain physical maneu...
Humans Gait Lower Extremity Brain-Computer Interfaces Robotics Spinal Cord Injuries Evoked Potentials, Visual Electroencephalography Exoskeleton Device
View on PubMed DOI

Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm.

Journal of neural engineering Apr 1, 2018
OBJECTIVE: The aim of this work is to improve the state of the art for motor-control with a brain-machine interface (BMI). BMIs use neurological recording devices and decoding algorithms to transform brain activity directly into real-time control of ...
Movement Motor Cortex Macaca mulatta Electrodes, Implanted Male Unsupervised Machine Learning Arm Algorithms Animals
View on PubMed DOI

A review and experimental study on the application of classifiers and evolutionary algorithms in EEG-based brain-machine interface systems.

Journal of neural engineering Apr 1, 2018
OBJECTIVE: Considering the importance and the near-future development of noninvasive brain-machine interface (BMI) systems, this paper presents a comprehensive theoretical-experimental survey on the classification and evolutionary methods for BMI-bas...
Animals Support Vector Machine Electroencephalography Brain-Computer Interfaces Humans Algorithms Databases, Factual Brain
View on PubMed DOI

Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit h...
Neural Prostheses Male Computer Systems Rats Rats, Sprague-Dawley Neural Networks, Computer Action Potentials Learning Cerebellum Animals Blinking
View on PubMed DOI

As above, so below? Towards understanding inverse models in BCI.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: In brain-computer interfaces (BCI), measurements of the user's brain activity are classified into commands for the computer. With EEG-based BCIs, the origins of the classified phenomena are often considered to be spatially localized in the...
Algorithms Brain Electroencephalography Signal Processing, Computer-Assisted Humans Machine Learning Brain-Computer Interfaces
View on PubMed DOI

Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: In this paper, we investigate the suitability of imagined speech for brain-computer interface (BCI) applications.
Adult Male Speech Support Vector Machine Humans Female Young Adult Electroencephalography Brain-Computer Interfaces Imagination
View on PubMed DOI
Popular Topics
Popular Journals