Bei Wang

Orcid: 0000-0002-4331-3053

Affiliations:
  • East China University of Science and Technology, Key Laboratory of Advanced Control and Optimization for Chemical Processes, Department of Automation, China


According to our database1, Bei Wang authored at least 22 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Domain-Aware Spatial-Temporal Model for Automated Sleep Staging with a Single-Channel EEG.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2020
Bayesian classifier with multivariate distribution based on D-vine copula model for awake/drowsiness interpretation during power nap.
Biomed. Signal Process. Control., 2020

Real-time Online UAV Images Mosaic with Robustness to Cumulative Errors.
Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020

2019
Automatic Sleep Stage Classification by a Density - Distance- Based K - means Clustering Algorithm with Amendments.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.
Int. J. Neural Syst., 2018

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Syst. Appl., 2018

Deep Convolutional Network Method for Automatic Sleep Stage Classification Based on Neurophysiological Signals.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap.
IEEE Trans. Biomed. Eng., 2017

A Comparison Study on Multidomain EEG Features for Sleep Stage Classification.
Comput. Intell. Neurosci., 2017

An Improved Visual-Tactile P300 Brain Computer Interface.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2013
EEG Physiological Signals Correlation under Condition of +Gz Accelerations.
J. Multim., 2013

Automatic estimation of sleep level for nap based on conditional probability of sleep stages and an exponential smoothing method.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
LASSO based stimulus frequency recognition model for SSVEP BCIs.
Biomed. Signal Process. Control., 2012

2011
Automatic detection of the topographical distribution of EEG rhythms based on an iterative adjustment of the averaged reference potential.
Artif. Life Robotics, 2011

Feature extraction of vigilance level based on Heart Rate Variability of Electrocardiogram.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Hand movement compensation for patients with Parkinson's disease based on polar coordination system with varied origin.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Effectiveness research of deep brain stimulation operation for patients with Parkinson's disease based on polar coordination system with varied origin.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

MPA EEG model-based vigilance level estimation by artificial neural network.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Automatic Reference Selection for Quantitative EEG Component Interpretation: Cross Spectrum Analysis Based on Bipolar EEG.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2009
Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Automatic determination of sleep stage through bio-neurological signals contaminated with artifacts by a conditional probability of the knowledge base.
Artif. Life Robotics, 2008

2007
Classification of Direction perception EEG Based on PCA-SVM.
Proceedings of the Third International Conference on Natural Computation, 2007


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