AIMC Topic: Brain-Computer Interfaces

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Perspective of Signal Processing-Based on Brain-Computer Interfaces Using Machine Learning Methods.

Studies in health technology and informatics Nov 23, 2023
The application of artificial intelligence (AI) algorithms is an indispensable portion of developing brain-computer interfaces (BCI). With the continuous development of AI concepts and related technologies. AI algorithms such as neural networks play ...
Artificial Intelligence Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Machine Learning Algorithms
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Magnetoencephalogram-based brain-computer interface for hand-gesture decoding using deep learning.

Cerebral cortex (New York, N.Y. : 1991) Jul 5, 2023
Advancements in deep learning algorithms over the past decade have led to extensive developments in brain-computer interfaces (BCI). A promising imaging modality for BCI is magnetoencephalography (MEG), which is a non-invasive functional imaging tech...
Humans Magnetoencephalography Electroencephalography Deep Learning Algorithms Brain-Computer Interfaces Gestures
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Error-related Potentials in a Virtual Pick-and-Place Experiment: Toward Real-world Shared-control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
In Human-Robot Collaboration setting a robot may be controlled by a user directly or through a Brain-Computer Interface that detects user intention, and it may act as an autonomous agent. As such interaction increases in complexity, conflicts become ...
Brain-Computer Interfaces Movement Humans Brain Robotics Electroencephalography
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Primary color decoding using deep learning on source reconstructed EEG signal responses.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The brain's response to visual stimuli of different colors might be used in a brain-computer interface (BCI) paradigm, for letting a user control their surroundings by looking at specific colors. Allowing the user to control certain elements in its e...
Humans Neural Networks, Computer Brain-Computer Interfaces Evoked Potentials, Visual Deep Learning Electroencephalography
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An EEG-based brain-computer interface for real-time multi-task robotic control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The Brain Computer Interface (BCI) is the communication between the human brain and the computer. Electroencephalogram (EEG) is one of the biomedical signals which can be obtained by attaching electrodes to the scalp. Some EEG related applications ca...
Humans Electroencephalography Reproducibility of Results Robotic Surgical Procedures Robotics Brain-Computer Interfaces
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Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.

Cerebral cortex (New York, N.Y. : 1991) Jun 20, 2023
Successful neuromodulation approaches to alter episodic memory require closed-loop stimulation predicated on the effective classification of brain states. The practical implementation of such strategies requires prior decisions regarding electrode im...
Memory, Episodic Mental Recall Electrodes Brain-Computer Interfaces Support Vector Machine Humans Cluster Analysis Electroencephalography Unsupervised Machine Learning Brain Random Forest
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A Low-Complexity Brain-Computer Interface for High-Complexity Robot Swarm Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2023
A brain-computer interface (BCI) is a system that allows a human operator to use only mental commands in controlling end effectors that interact with the world around them. Such a system consists of a measurement device to record the human user's bra...
Brain-Computer Interfaces Robotics Electroencephalography Algorithms Humans Feedback User-Computer Interface
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Classification of EEG signals related to real and imagery knee movements using deep learning for brain computer interfaces.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Non-invasive Brain-Computer Interface (BCI) uses an electroencephalogram (EEG) to obtain information on brain neural activity. Because EEG can be contaminated by various artifacts during the collection process, it has primarily evolved in...
Neural Networks, Computer Algorithms Electroencephalography Brain-Computer Interfaces Deep Learning Humans Movement Imagination
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Comparing the Usability of Alternative EEG Devices to Traditional Electrode Caps for SSVEP-BCI Controlled Assistive Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Despite having the potential to improve the lives of severely paralyzed users, non-invasive Brain Computer Interfaces (BCI) have yet to be integrated into their daily lives. The widespread adoption of BCI-driven assistive technology is hindered by it...
Brain-Computer Interfaces Electroencephalography Evoked Potentials Humans Robotics Electrodes Evoked Potentials, Visual
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Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
In recent years, neuroscientists have been interested to the development of brain-computer interface (BCI) devices. Patients with motor disorders may benefit from BCIs as a means of communication and for the restoration of motor functions. Electroenc...
Algorithms Electroencephalography Neural Networks, Computer Humans Brain-Computer Interfaces Machine Learning
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