A Boosting-Based Spatial-Spectral Model for Stroke Patients’ EEG Analysis in Rehabilitation Training
暂无分享,去创建一个
Liqing Zhang | Hao Zhang | Ye Liu | Min Chen | Liqing Zhang | Hao Zhang | Ye Liu | Min Chen
[1] Yijun Wang,et al. Visual and Auditory Brain–Computer Interfaces , 2014, IEEE Transactions on Biomedical Engineering.
[2] M. V. van Putten,et al. Classification of motor imagery performance in acute stroke , 2014, Journal of neural engineering.
[3] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[4] Cuntai Guan,et al. Selection of effective EEG channels in brain computer interfaces based on inconsistencies of classifiers , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5] Bin Yu,et al. Boosting with early stopping: Convergence and consistency , 2005, math/0508276.
[6] J. Ushiba,et al. Modulation of event-related desynchronization during motor imagery with transcranial direct current stimulation (tDCS) in patients with chronic hemiparetic stroke , 2012, Experimental Brain Research.
[7] Cuntai Guan,et al. Discriminative channel addition and reduction for filter bank common spatial pattern in motor imagery BCI , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] B. Bussel,et al. Longitudinal Study of Motor Recovery After Stroke: Recruitment and Focusing of Brain Activation , 2002, Stroke.
[9] Cuntai Guan,et al. Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms , 2011, IEEE Transactions on Biomedical Engineering.
[10] H. Zhang,et al. A tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES rehabilitation training , 2014, Journal of Neuroscience Methods.
[11] Wei Wu,et al. Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL) , 2008, IEEE Transactions on Biomedical Engineering.
[12] S. Tong,et al. Cognitive Alterations in Motor Imagery Process after Left Hemispheric Ischemic Stroke , 2012, PloS one.
[13] Ethan R. Buch,et al. Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke , 2008, Stroke.
[14] Gilles Blanchard,et al. BCI competition 2003-data set IIa: spatial patterns of self-controlled brain rhythm modulations , 2004, IEEE Transactions on Biomedical Engineering.
[15] Ping Xue,et al. Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.
[16] Cuntai Guan,et al. A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface , 2011, Clinical EEG and neuroscience.
[17] Cuntai Guan,et al. Mutual information-based selection of optimal spatial-temporal patterns for single-trial EEG-based BCIs , 2012, Pattern Recognit..
[18] Fei Meng,et al. A Minimal Set of Electrodes for Motor Imagery BCI to Control an Assistive Device in Chronic Stroke Subjects: A Multi-Session Study , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[19] Cuntai Guan,et al. A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke , 2015, Clinical EEG and neuroscience.
[20] P. Verschure,et al. Exploring the synergies of a hybrid BCI - VR neurorehabilitation system , 2011, 2011 International Conference on Virtual Rehabilitation.
[21] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[22] J. Ushiba,et al. Relationship between event-related desynchronization and cortical excitability in healthy subjects and stroke patients. , 2013, The Tokai journal of experimental and clinical medicine.
[23] J. Friedman. Stochastic gradient boosting , 2002 .
[24] Suk-Tak Chan,et al. BCI-FES training system design and implementation for rehabilitation of stroke patients , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[25] R. Leeb,et al. BCI Competition 2008 { Graz data set B , 2008 .
[26] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[27] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[28] Le Song,et al. Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface , 2005, NIPS.
[29] G. Pfurtscheller,et al. Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[30] Cuntai Guan,et al. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[31] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[32] Girijesh Prasad,et al. Mu and beta rhythm modulations in motor imagery related post-stroke EEG: a study under BCI framework for post-stroke rehabilitation , 2010, BMC Neuroscience.
[33] T. Solis-Escalante,et al. Cortical Activation Patterns of Cue-Paced Foot Movement in Subacute Stroke Patients , 2013, Biomedizinische Technik. Biomedical engineering.
[34] Klaus-Robert Müller,et al. Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing , 2006, IEEE Transactions on Biomedical Engineering.
[35] Darren J. Leamy,et al. An exploration of EEG features during recovery following stroke – implications for BCI-mediated neurorehabilitation therapy , 2014, Journal of NeuroEngineering and Rehabilitation.
[36] Klaus-Robert Müller,et al. Spatio-spectral filters for improving the classification of single trial EEG , 2005, IEEE Transactions on Biomedical Engineering.
[37] Wei Wu,et al. Probabilistic Common Spatial Patterns for Multichannel EEG Analysis , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] C. Calautti,et al. Dynamics of Motor Network Overactivation After Striatocapsular Stroke: A Longitudinal PET Study Using a Fixed-Performance Paradigm , 2001, Stroke.
[39] Akio Kimura,et al. Modulation of mu rhythm desynchronization during motor imagery by transcranial direct current stimulation , 2010, Journal of NeuroEngineering and Rehabilitation.
[40] G. Pfurtscheller,et al. The BCI competition III: validating alternative approaches to actual BCI problems , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.