フォロー
Yingchun Zhang
Yingchun Zhang
Professor in Biomedical Engineering, University of Miami
確認したメール アドレス: miami.edu
タイトル
引用先
引用先
Deep convolutional neural network-based epileptic electroencephalogram (EEG) signal classification
Y Gao, B Gao, Q Chen, J Liu, Y Zhang
Frontiers in neurology 11, 375, 2020
1942020
Estimation of in vivo brain-to-skull conductivity ratio in humans
Y Zhang, W Van Drongelen, B He
Applied physics letters 89 (22), 2006
1712006
Classification of motor imagery EEG signals with support vector machines and particle swarm optimization
Y Ma, X Ding, Q She, Z Luo, T Potter, Y Zhang
Computational and mathematical methods in medicine 2016 (1), 4941235, 2016
1312016
Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review
R Li, D Yang, F Fang, KS Hong, AL Reiss, Y Zhang
Sensors 22 (15), 5865, 2022
1272022
Enhancing performance of a hybrid EEG-fNIRS system using channel selection and early temporal features
R Li, T Potter, W Huang, Y Zhang
Frontiers in human neuroscience 11, 462, 2017
1102017
Surface EMG Decomposition Based on K-means Clustering and Convolution Kernel Compensation
Y Ning, X Zhu, S Zhu, Y Zhang
IEEE journal of biomedical and health informatics 19 (2), 471-477, 2014
1052014
Early detection of Alzheimer’s disease using non-invasive near-infrared spectroscopy
R Li, G Rui, W Chen, S Li, PE Schulz, Y Zhang
Frontiers in aging neuroscience 10, 366, 2018
1032018
Dynamic cortical connectivity alterations associated with Alzheimer's disease: An EEG and fNIRS integration study
R Li, T Nguyen, T Potter, Y Zhang
NeuroImage: Clinical 21, 101622, 2019
1022019
An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease
PA Cicalese, R Li, MB Ahmadi, C Wang, JT Francis, S Selvaraj, PE Schulz, ...
Journal of neuroscience methods 336, 108618, 2020
972020
Driving fatigue detection from EEG using a modified PCANet method
Y Ma, B Chen, R Li, C Wang, J Wang, Q She, Z Luo, Y Zhang
Computational intelligence and neuroscience 2019 (1), 4721863, 2019
942019
A cortical potential imaging study from simultaneous extra-and intracranial electrical recordings by means of the finite element method
Y Zhang, L Ding, W van Drongelen, K Hecox, DM Frim, B He
NeuroImage 31 (4), 1513-1524, 2006
912006
Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings
Y Zhang, W van Drongelen, M Kohrman, B He
Neuroimage 42 (2), 683-695, 2008
792008
A hierarchical semi-supervised extreme learning machine method for EEG recognition
Q She, B Hu, Z Luo, T Nguyen, Y Zhang
Medical & biological engineering & computing 57, 147-157, 2019
782019
Electroencephalogram–electromyography coupling analysis in stroke based on symbolic transfer entropy
Y Gao, L Ren, R Li, Y Zhang
Frontiers in neurology 8, 716, 2018
752018
A second-order finite element algorithm for solving the three-dimensional EEG forward problem
YC Zhang, SA Zhu, B He
Physics in Medicine & Biology 49 (13), 2975, 2004
662004
Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis
Y Gao, X Wang, T Potter, J Zhang, Y Zhang
Journal of Neuroscience Methods 346, 108904, 2020
652020
Pelvic floor dynamics during high-impact athletic activities: A computational modeling study
N Dias, Y Peng, R Khavari, NA Nakib, RM Sweet, GW Timm, AG Erdman, ...
Clinical Biomechanics 41, 20-27, 2017
632017
Improved domain adaptation network based on Wasserstein distance for motor imagery EEG classification
Q She, T Chen, F Fang, J Zhang, Y Gao, Y Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1137-1148, 2023
602023
EEG-based driving fatigue detection using a two-level learning hierarchy radial basis function
Z Ren, R Li, B Chen, H Zhang, Y Ma, C Wang, Y Lin, Y Zhang
Frontiers in Neurorobotics 15, 618408, 2021
592021
Multimodal neuroimaging using concurrent EEG/fNIRS for poststroke recovery assessment: an exploratory study
R Li, S Li, J Roh, C Wang, Y Zhang
Neurorehabilitation and Neural Repair 34 (12), 1099-1110, 2020
572020
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