AIMC Topic: Electroencephalography

Clear Filters Showing 2051 to 2060 of 2150 articles

EEG-Based Emotion Recognition with Similarity Learning Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Emotion recognition is an important field of research in Affective Computing (AC), and the EEG signal is one of useful signals in detecting and evaluating emotion. With the development of the deep learning, the neural network is widely used in constr...
Emotions Electroencephalography Neural Networks, Computer Algorithms Brain Humans
View on PubMed DOI

Signal2Image Modules in Deep Neural Networks for EEG Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Deep learning has revolutionized computer vision utilizing the increased availability of big data and the power of parallel computational units such as graphical processing units. The vast majority of deep learning research is conducted using images ...
Deep Learning Electroencephalography Neural Networks, Computer
View on PubMed DOI

Estimation of brain connectivity through Artificial Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Among different methods available for estimating brain connectivity from electroencephalographic signals (EEG), those based on MVAR models have proved to be flexible and accurate. They rely on the solution of linear equations that can be pursued thro...
Electroencephalography Algorithms Neural Networks, Computer Brain Regression Analysis
View on PubMed DOI

Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph.

Chaos (Woodbury, N.Y.) Jul 1, 2019
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which incorporates the motion perception capabilities of the human visual system to alleviate the negative effects caused by strong visual stimulation from...
Humans Brain Brain-Computer Interfaces Support Vector Machine Evoked Potentials, Visual Models, Neurological Photic Stimulation Electroencephalography
View on PubMed DOI

Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury.

The New England journal of medicine Jun 27, 2019
BACKGROUND: Brain activation in response to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive patients. The prevalence and prognostic importance of a dissociation between commanded motor behavior and bra...
Support Vector Machine Brain Injuries Area Under Curve Middle Aged Cognition Motor Activity Unconsciousness Neurologic Examination Electroencephalography Reference Values Glasgow Outcome Scale Prognosis Intensive Care Units Female Aged Adult Male Humans Prospective Studies Brain Glasgow Coma Scale
View on PubMed DOI

Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
An assistive robotic manipulator (ARM) can provide independence and improve the quality of life for patients suffering from tetraplegia. However, to properly control such device to a satisfactory level without any motor functions requires a very high...
Humans Quality of Life Evoked Potentials, Visual Robotics Electroencephalography Brain-Computer Interfaces
View on PubMed DOI

Movement related activity in the μ band of the human EEG during a robot-based proprioceptive task.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Innovative research in the fields of prosthetic, neurorehabilitation, motor control and human physiology has been focusing on the study of proprioception, the sense through which we perceive the position and movement of our body, and great achievemen...
Robotics Electroencephalography Psychomotor Performance Movement Proprioception Feedback, Sensory Adult Humans Male Brain Adolescent Female Young Adult
View on PubMed DOI

Investigation of Fatigue Using Different EMG Features.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive training. Our study investigates the usefulness of Electroencephalogram and Electromyogram (EMG) signals fo...
Healthy Volunteers Muscle Fatigue Muscle, Skeletal Robotics Hand Young Adult Humans Electroencephalography Electromyography Adult Female Exercise Therapy Male
View on PubMed DOI

Intracerebral EEG Artifact Identification Using Convolutional Neural Networks.

Neuroinformatics Apr 1, 2019
Manual and semi-automatic identification of artifacts and unwanted physiological signals in large intracerebral electroencephalographic (iEEG) recordings is time consuming and inaccurate. To date, unsupervised methods to accurately detect iEEG artifa...
Artifacts Retrospective Studies Electroencephalography Neural Networks, Computer Machine Learning Humans Brain
View on PubMed DOI

Implementation of Bagged SVM Ensemble Model for Classification of Epileptic States Using EEG.

Current pharmaceutical biotechnology Jan 1, 2019
BACKGROUND: To decipher EEG (Electroencephalography), intending to locate inter-ictal and ictal discharges for supporting the diagnoses of epilepsy and locating the seizure focus, is a critical task. The aim of this work was to find how the ensemble ...
Epilepsy Wavelet Analysis Diagnosis, Computer-Assisted Humans Support Vector Machine Brain Electroencephalography
View on PubMed DOI
Popular Topics
Recent Journals