Search Results - "Guan, Cuntai"
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Published in IEEE transaction on neural networks and learning systems (01-11-2018)“…Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing…”
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Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
Published in IEEE transactions on biomedical engineering (01-02-2011)“…One of the most popular feature extraction algorithms for brain-computer interfaces (BCI) is common spatial patterns (CSPs). Despite its known efficiency and…”
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3
EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation
Published in IEEE transactions on neural systems and rehabilitation engineering (01-04-2017)“…Advances in brain-computer interface (BCI) technology have facilitated the detection of Motor Imagery (MI) from electroencephalography (EEG). First, we present…”
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A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain-Computer Interfaces
Published in IEEE transactions on biomedical engineering (01-11-2009)“…Event-related desynchronization/synchronization patterns during right/left motor imagery (MI) are effective features for an electroencephalogram-based…”
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A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Published in Biomedical signal processing and control (01-05-2019)“…Electromyography (EMG) signal is one of the widely used biological signals for human motor intention prediction, which is an essential element in human-robot…”
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6
Deep Unsupervised Representation Learning for Feature-Informed EEG Domain Extraction
Published in IEEE transactions on neural systems and rehabilitation engineering (2023)“…In electroencephalography (EEG) classification paradigms, data from a target subject is often difficult to obtain, leading to difficulties in training a robust…”
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7
Self reward design with fine-grained interpretability
Published in Scientific reports (30-01-2023)“…The black-box nature of deep neural networks (DNN) has brought to attention the issues of transparency and fairness. Deep Reinforcement Learning (Deep RL or…”
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2020)“…In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with…”
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9
Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models
Published in IEEE transactions on biomedical engineering (01-06-2008)“…Asynchronous control is an important issue for brain--computer interfaces (BCIs) working in real-life settings, where the machine should determine from brain…”
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10
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI
Published in IEEE transactions on biomedical engineering (01-06-2011)“…Multichannel EEG is generally used in brain-computer interfaces (BCIs), whereby performing EEG channel selection 1) improves BCI performance by removing…”
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11
Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals
Published in IEEE transactions on neural systems and rehabilitation engineering (2024)“…The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in…”
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Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs
Published in Pattern recognition (01-06-2012)“…The common spatial pattern (CSP) algorithm is effective in decoding the spatial patterns of the corresponding neuronal activities from electroencephalogram…”
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13
Cluster-Based Analysis for Personalized Stress Evaluation Using Physiological Signals
Published in IEEE journal of biomedical and health informatics (01-01-2015)“…Technology development in wearable sensors and biosignal processing has made it possible to detect human stress from the physiological features. However, the…”
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14
Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke
Published in IEEE transactions on biomedical engineering (01-12-2020)“…Objective: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic…”
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Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface
Published in IEEE transaction on neural networks and learning systems (01-04-2013)“…A major challenge in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the inherent nonstationarities in the EEG data. Variations of the…”
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16
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
Published in Frontiers in neuroscience (01-01-2012)“…The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its…”
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17
A closed-loop, music-based brain-computer interface for emotion mediation
Published in PloS one (18-03-2019)“…Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order…”
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18
Voxel Selection in fMRI Data Analysis Based on Sparse Representation
Published in IEEE transactions on biomedical engineering (01-10-2009)“…Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an…”
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A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
Published in Clinical EEG and neuroscience (01-10-2015)“…Electroencephalography (EEG)–based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing…”
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Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots
Published in Nature communications (06-06-2024)“…Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous…”
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