AIMC Topic: Brain-Computer Interfaces

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Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning.

Computer methods and programs in biomedicine Jan 7, 2022
BACKGROUND AND OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) are a promising technology for alternative and augmented communication in an assistive context. However, most approaches to date are synchronous, requir...
Evoked Potentials Neural Networks, Computer Algorithms Electroencephalography Brain-Computer Interfaces Deep Learning Humans
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A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface.

Journal of neural engineering Jan 6, 2022
Brain-computer interface (BCI) aims to establish communication paths between the brain processes and external devices. Different methods have been used to extract human intentions from electroencephalography (EEG) recordings. Those based on motor ima...
Neural Networks, Computer Machine Learning Algorithms Humans Movement Imagination Sensorimotor Cortex Electroencephalography Brain-Computer Interfaces
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A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification.

Biosensors Jan 3, 2022
Automatic high-level feature extraction has become a possibility with the advancement of deep learning, and it has been used to optimize efficiency. Recently, classification methods for Convolutional Neural Network (CNN)-based electroencephalography ...
Neural Networks, Computer Brain-Computer Interfaces Imagination Algorithms Electroencephalography
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Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke.

Journal of healthcare engineering Dec 20, 2021
PURPOSE: To observe the effect of a brain-computer interface-operated lower limb rehabilitation robot (BCI-LLRR) on functional recovery from stroke and to explore mechanisms.
Activities of Daily Living Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Recovery of Function Diffusion Tensor Imaging Robotics Stroke Humans Lower Extremity
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Attentional load classification in multiple object tracking task using optimized support vector machine classifier: a step towards cognitive brain-computer interface.

Journal of medical engineering & technology Nov 26, 2021
Cognitive brain-computer interface (cBCI) is an emerging area with applications in neurorehabilitation and performance monitoring. cBCI works on the cognitive brain signal that does not require a person to pay much effort unlike the motor brain-compu...
Brain-Computer Interfaces Electroencephalography Attention Cognition Support Vector Machine Humans
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Neural interface systems with on-device computing: machine learning and neuromorphic architectures.

Current opinion in biotechnology Nov 1, 2021
Development of neural interface and brain-machine interface (BMI) systems enables the treatment of neurological disorders including cognitive, sensory, and motor dysfunctions. While neural interfaces have steadily decreased in form factor, recent dev...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Artificial Intelligence Machine Learning
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A Deep Learning-Based Classification Method for Different Frequency EEG Data.

Computational and mathematical methods in medicine Oct 21, 2021
In recent years, the research on electroencephalography (EEG) has focused on the feature extraction of EEG signals. The development of convenient and simple EEG acquisition devices has produced a variety of EEG signal sources and the diversity of the...
Brain-Computer Interfaces Algorithms Databases, Factual Diagnosis, Computer-Assisted Humans Neural Networks, Computer Electroencephalography Deep Learning Computational Biology Epilepsy Signal Processing, Computer-Assisted
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Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 11, 2021
Emotion recognition plays an important role in the field of human-computer interaction (HCI). Automatic emotion recognition based on EEG is an important topic in brain-computer interface (BCI) applications. Currently, deep learning has been widely us...
Computational Biology Emotions Brain-Computer Interfaces Electroencephalography Neural Networks, Computer Databases, Factual Deep Learning Humans
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EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI a...
Humans Brain-Computer Interfaces Electroencephalography Machine Learning Epilepsy Algorithms Signal Processing, Computer-Assisted
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Advanced Machine-Learning Methods for Brain-Computer Interfacing.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
The brain-computer interface (BCI) connects the brain and the external world through an information transmission channel by interpreting the physiological information of the brain during thinking activities. The effective classification of electroenc...
Brain-Computer Interfaces Imagination Male Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Humans Algorithms Female Machine Learning
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