AIMC Topic: Evoked Potentials, Visual

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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 Lower Extremity Robotics Electroencephalography Gait Brain-Computer Interfaces Evoked Potentials, Visual Spinal Cord Injuries Exoskeleton Device
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A separated feature learning based DBN structure for classification of SSMVEP signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Signal processing is one of the key points in brain computer interface (BCI) application. The common methods in BCI signal classification include canonical correlation analysis (CCA), support vector machine (SVM) and so on. However, because BCI signa...
Humans Neural Networks, Computer Machine Learning Algorithms Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual
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Applicability of SSVEP-based brain-computer interfaces for robot navigation in real environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Brain-computer interfaces have been extensively studied and used in order to aid patients suffering from neuromuscular diseases to communicate and control the surrounding environment. Steady-state visual evoked potentials (SSVEP) constitute a very po...
Humans Databases, Factual Female Adult Male Models, Theoretical Robotics Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual Neurologic Examination
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EEG error potentials detection and classification using time-frequency features for robot reinforcement learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting from the brain-machine interface (BMI) classifier/controller does not correspond to the user's thought. Using the Steady State Visual Evoked Potentials ...
Humans Models, Theoretical Robotics Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual
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