AIMC Topic: Brain-Computer Interfaces

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Classification of hemodynamic responses associated with force and speed imagery for a brain-computer interface.

Journal of medical systems Mar 3, 2015
Functional near-infrared spectroscopy (fNIRS) is an emerging optical technique, which can assess brain activities associated with tasks. In this study, six participants were asked to perform three imageries of hand clenching associated with force and...
Imagination Machine Learning Female Adult Male Hemodynamics Image Processing, Computer-Assisted Brain-Computer Interfaces Motor Cortex Humans
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RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

IEEE transactions on neural networks and learning systems Feb 26, 2015
Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroencephalogram (EEG) classification. The challenges are controlling the complexity of the learning algorithm so as to alleviate the curse of dimensionality...
Brain Humans Brain-Computer Interfaces Neural Networks, Computer Discriminant Analysis Algorithms Electroencephalography Signal Processing, Computer-Assisted
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Word-level language modeling for P300 spellers based on discriminative graphical models.

Journal of neural engineering Feb 16, 2015
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.
Computer Graphics Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Humans Natural Language Processing Algorithms Brain-Computer Interfaces Computer Simulation Task Performance and Analysis Language Electrocardiography Models, Statistical
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Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand.

Artificial intelligence in medicine Dec 18, 2014
OBJECTIVE: This study aimed to find effective approaches to electroencephalographic (EEG) signal analysis and resolve problems of real and imaginary finger movement pattern recognition and categorization for one hand.
Male Thumb Support Vector Machine Electroencephalography Fingers Brain-Computer Interfaces Movement Imagination Humans Neural Networks, Computer Female Adult
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Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

Journal of neural engineering Dec 16, 2014
OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven degrees of freedom) by a human subject with tetraplegia using a brain-machine interface (BMI). The cur...
Adult Robotics Electroencephalography Artificial Limbs Prosthesis Design Models, Biological Arm Brain-Computer Interfaces Humans Computer Simulation Imagination Female Quadriplegia Joints Feedback, Physiological Equipment Failure Analysis Evoked Potentials, Motor
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An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 2, 2014
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...
Evoked Potentials, Visual Communication Devices for People with Disabilities Word Processing Male Adolescent Child Natural Language Processing Electroencephalography Female Information Storage and Retrieval Reproducibility of Results Pattern Recognition, Automated Young Adult Humans Brain-Computer Interfaces Sensitivity and Specificity Machine Learning
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Humans Machine Learning Algorithms Reproducibility of Results Brain-Computer Interfaces Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Sensitivity and Specificity Natural Language Processing Bayes Theorem Pattern Recognition, Automated
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A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

Clinical EEG and neuroscience Apr 21, 2014
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of ...
Adult Recovery of Function Upper Extremity Male Robotics Physical Therapy Modalities Electroencephalography Middle Aged Humans Stroke Rehabilitation Treatment Outcome Brain-Computer Interfaces Imagery, Psychotherapy Female Aged
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AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.

Annals of neurology Aug 1, 2025
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3-part series, provides neurologists and neuroscientists with a foundational understa...
Machine Learning Brain-Computer Interfaces Nervous System Diseases Neurology Humans Artificial Intelligence
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A subject transfer neural network fuses Generator and Euclidean alignment for EEG-based motor imagery classification.

Journal of neuroscience methods Aug 1, 2025
BACKGROUND: Brain-computer interface (BCI) facilitates the connection between human brain and computer, enabling individuals to control external devices indirectly through cognitive processes. Although it has great development prospects, the signific...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Neural Networks, Computer Brain Motor Activity Imagination
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