AIMC Topic: Brain-Computer Interfaces

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Cortical ROI Importance Improves MI Decoding From EEG Using Fused Light Neural Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 27, 2024
Decoding motor imagery (MI) using deep learning in cortical level has potential in brain computer interface based intelligent rehabilitation. However, a mass of dipoles is inconvenient to extract the personalized features and requires a more complex ...
Male Female Deep Learning Young Adult Electroencephalography Adult Humans Brain-Computer Interfaces Cerebral Cortex Neural Networks, Computer Imagination Algorithms
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Subject-Independent Wearable P300 Brain-Computer Interface Based on Convolutional Neural Network and Metric Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 25, 2024
The calibration procedure for a wearable P300 brain-computer interface (BCI) greatly impact the user experience of the system. Each user needs to spend additional time establishing a decoder adapted to their own brainwaves. Therefore, achieving subje...
Event-Related Potentials, P300 Electroencephalography Calibration Brain-Computer Interfaces Adult Machine Learning Male Algorithms Wearable Electronic Devices Female Young Adult Humans Neural Networks, Computer
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Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2024
Affective brain-computer interface is an important part of realizing emotional human-computer interaction. However, existing objective individual differences among subjects significantly hinder the application of electroencephalography (EEG) emotion ...
Humans Neural Networks, Computer Brain Emotions Electroencephalography Brain-Computer Interfaces
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Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness.

Sensors (Basel, Switzerland) Sep 22, 2024
Brain-computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a balance between classification accuracy and system responsiveness is crucial for real-time applications. This study aimed to assess how the duration of ti...
Algorithms Female Aged Male Humans Stroke Rehabilitation Discriminant Analysis Middle Aged Time Factors Electroencephalography Support Vector Machine Stroke Brain-Computer Interfaces
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Nanorobot-Based Direct Implantation of Flexible Neural Electrode for BCI.

IEEE transactions on bio-medical engineering Sep 19, 2024
Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI holds vast potential across diverse domains, the implantation of neural electrodes poses multifaceted challenges to fully explore the power of BCI. Con...
Brain Animals Electroencephalography Nanotechnology Equipment Design Mice Brain-Computer Interfaces Robotics Electrodes, Implanted
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An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network.

IEEE transactions on bio-medical engineering Sep 19, 2024
OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) has been widely involved. However, training a universally effective model for everyone is impractical due to substantial interindividual variability in...
Humans Neural Networks, Computer Algorithms Brain Male Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Female Young Adult Adult
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Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration. Federated learning (FL) is a promising solution to this ch...
Electroencephalography Privacy Machine Learning Brain-Computer Interfaces Humans Imagination Computer Security Algorithms Deep Learning
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Effective Phoneme Decoding With Hyperbolic Neural Networks for High-Performance Speech BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
OBJECTIVE: Speech brain-computer interfaces (speech BCIs), which convert brain signals into spoken words or sentences, have demonstrated great potential for high-performance BCI communication. Phonemes are the basic pronunciation units. For monosylla...
Humans Neural Networks, Computer Female Young Adult Algorithms Language Cluster Analysis Adult Brain-Computer Interfaces Electroencephalography Male Phonetics Speech
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Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)-oriented methods. Despite the advances i...
Brain-Computer Interfaces Humans Imagination Machine Learning Algorithms Reproducibility of Results Fuzzy Logic Adult Electroencephalography
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Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 17, 2024
The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in applications like stroke rehabilitation. Current research predominantly concentrates on the bila...
Upper Extremity Stroke Rehabilitation Imagination Young Adult Adult Male Brain-Computer Interfaces Movement Electroencephalography Healthy Volunteers Machine Learning Algorithms Female Humans
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