AIMC Topic: Brain-Computer Interfaces

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A Brain-Robot Interaction System by Fusing Human and Machine Intelligence.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 4, 2019
This paper presents a new brain-robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and steady-state visual evoked potential (SSVEP) mode conveying a hu...
Algorithms Image Processing, Computer-Assisted Fuzzy Logic Humans Artificial Intelligence Brain-Computer Interfaces Vision, Ocular Event-Related Potentials, P300 Evoked Potentials, Somatosensory Robotics Electroencephalography Intelligence
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Walking Imagery Evaluation in Brain Computer Interfaces via a Multi-View Multi-Level Deep Polynomial Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 25, 2019
Brain-computer interfaces based on motor imagery (MI) have been widely used to support the rehabilitation of motor functions of the upper limbs rather than lower limbs. This is probably because it is more difficult to detect the brain activities of l...
Neural Networks, Computer Algorithms Brain Humans Male Virtual Reality Support Vector Machine Electroencephalography Female Young Adult Adult Imagination Walking Paralysis Healthy Volunteers Brain-Computer Interfaces
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Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.

Sensors (Basel, Switzerland) Jan 8, 2019
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject's motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.g....
Movement Neural Networks, Computer Electroencephalography Humans Machine Learning Hand Algorithms Brain-Computer Interfaces
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Recent Advances in Brain Signal Analysis: Methods and Applications 2018.

Computational intelligence and neuroscience Dec 9, 2018
Brain Mapping Brain-Computer Interfaces Humans Artificial Intelligence Brain
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A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces.

Journal of neuroscience methods Dec 6, 2018
BACKGROUND: The input signals of electroencephalography (EEG) based brain computer interfaces (BCI) are extensively acquired from scalp with a multi-channel system. However, multi-channel signals might contain redundant information and increase compu...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Support Vector Machine Electroencephalography
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Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.

Journal of neural engineering Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
Photic Stimulation Visual Prosthesis Fixation, Ocular Arm Brain-Computer Interfaces Evoked Potentials, Visual Robotics Electroencephalography Healthy Volunteers Humans Algorithms Female Biomechanical Phenomena Male Young Adult Adult
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Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

Journal of neural engineering Nov 26, 2018
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In ...
Humans Neural Networks, Computer Machine Learning Algorithms Deep Learning Color Perception Transfer, Psychology Stroop Test Electroencephalography Attention Brain-Computer Interfaces
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Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs.

Journal of neuroengineering and rehabilitation Oct 29, 2018
BACKGROUND: Phase synchrony has extensively been studied for understanding neural coordination in health and disease. There are a few studies concerning the implications in the context of BCIs, but its potential for establishing a communication chann...
Humans Female Signal Processing, Computer-Assisted Male Adult Imagination Brain-Computer Interfaces Support Vector Machine Neuromuscular Diseases Electroencephalography
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Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Oct 28, 2018
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. Recent research has shown that nonlinear classification algorithms perform better than their linear counterparts, but most o...
Brain-Computer Interfaces Neural Networks, Computer Humans Learning Machine Learning Evoked Potentials, Motor Electroencephalography Algorithms Imagery, Psychotherapy Datasets as Topic
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Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces.

IEEE transactions on neural networks and learning systems Oct 19, 2018
In this paper, a closed-loop control has been developed for the exoskeleton robot system based on brain-machine interface (BMI). Adaptive controllers in joint space, a redundancy resolution method at the velocity level, and commands that generated fr...
Adaptation, Physiological Electroencephalography Brain-Computer Interfaces Exoskeleton Device Humans Neural Networks, Computer Biomechanical Phenomena
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