20.9.3 Brain, Cortex, Brain Waves, EEG Analysis

Neuromaters, LLC,
2009.
WWW Version. Vendor, Neuroengineering. From the Columbia Neuroengineering group. Cortically Coupled Computer Vision

Kumar, A.[Anand],
A real-time system for pattern recognition of human sleep stages by fuzzy system analysis,
PR(9), No. 1, January 1977, pp. 43-46.
WWW Version. 0309
BibRef

Ferber, G.,
Classifying and validating intermittent EEG patterns with syntactic methods,
PR(19), No. 4, 1986, pp. 289-295.
WWW Version. 0309
BibRef

Liang, J.J.[Joseph J.], Clarson, V.[Virginia],
A new approach to classification of brainwaves,
PR(22), No. 6, 1989, pp. 767-774.
WWW Version. 0309
BibRef

Obermaier, B., Guger, C., Neuper, C., Pfurtscheller, G.,
Hidden Markov models for online classification of single trial EEG data,
PRL(22), No. 12, October 2001, pp. 1299-1309.
Elsevier DOI Link 0108
BibRef

Samardzic, A.B.[Aleksandar B.], Jovanov, E.S.[Emil S.], Starcevic, D.B.[Dusan B.],
Real-time Visualization of Brain Electrical Activity,
RealTimeImg(6), No. 1, February 2000, pp. 69-76. 0003
BibRef

Schmitt, U., Louis, A.K., Darvas, F., Buchner, H., Fuchs, M.,
Numerical aspects of spatio-temporal current density reconstruction from EEG-/MEG-data,
MedImg(20), No. 4, April 2001, pp. 314-324.
IEEE Top Reference. 0110
BibRef

Jirsa, V.K., Jantzen, K.J., Fuchs, A., Kelso, J.A.S.,
Spatiotemporal forward solution of the EEG and MEG using network modeling,
MedImg(21), No. 5, May 2002, pp. 493-504.
IEEE Top Reference. 0206
BibRef

Wu, W., Black, M.J., Mumford, D., Gao, Y., Bienenstock, E., Donoghue, J.P.,
Modeling and decoding motor cortical activity using a switching Kalman filter,
BiomedEng(51), No. 6, June 2004, pp. 933-942.
WWW Version.
PDF Version. BibRef 0406

Wu, W., Gao, Y., Bienenstock, E., Donoghue, J.P., Black, M.J.,
Bayesian population coding of motor cortical activity using a Kalman filter,
NeurComp(18), 2005, pp. 80-118.
WWW Version.
PDF Version. BibRef 0500

Wood, F., Black, M.J., Vargas-Irwin, C., Fellows, M., Donoghue, J.P.,
On the variability of manual spike sorting,
BiomedEng(51), No. 6, June 2004, pp. 912-918.
WWW Version.
PDF Version. BibRef 0406

Kybic, J.[Jan], Clerc, M.[Maureen], Abboud, T.[Toufic], Faugeras, O.D.[Olivier D.], Keriven, R.[Renaud], Papadopoulo, T.[Théo],
A common formalism for the Integral formulations of the forward EEG problem,
MedImg(24), No. 1, January 2005, pp. 12-28.
IEEE Abstract. 0501
BibRef
Earlier:
Integral Formulations for the EEG Problem,
INRIARR-4735, Février 2003.
HTML Version. 0306
BibRef

Faugeras, O.D., Clement, F., Deriche, R., Keriven, R., Papadopoulo, T., Roberts, J., Vieville, T., Devernay, F., Gomes, J., Hermosillo, G., Kornprobst, P., and Lingrand, D.,
The Inverse EEG and MEG Problems: The Adjoint State Approach I: The Continuous Case,
INRIA--RR-3673, May 1999.
HTML Version. Determine the 3-D structure of the signals from the EEG signals. BibRef 9905

Kook, H.S.[Hyun-Seok], Gupta, L.[Lalit], Molfese, D.[Dennis], Fadem, K.C.,
Multi-stimuli multi-channel data and decision fusion strategies for dyslexia prediction using neonatal ERPs,
PR(38), No. 11, November 2005, pp. 2174-2184.
WWW Version. 0509
BibRef

Gupta, L.[Lalit], Kota, S.[Srinivas], Yarlagadda, P.[Phani], Molfese, D.L.[Dennis L.],
Central-tendency estimation and nearest-estimate classification of event related potentials,
PR(44), No. 7, July 2011, pp. 1418-1425.
Elsevier DOI Link
WWW Version. 1103
Decision fusion; ERP classification; ERP estimation; Event related potentials; Multivariate central-tendency estimation BibRef

Kook, H.S.[Hyun-Seok], Gupta, L.[Lalit], Kota, S.[Srinivas], Molfese, D.[Dennis], Lyytinen, H.,
An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials,
PR(41), No. 6, June 2008, pp. 1985-1996.
WWW Version. 0802
Artifact detection; Evoked potentials; Decision fusion BibRef

Shoker, L., Sanei, S., Chambers, J.,
Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm,
SPLetters(12), No. 10, October 2005, pp. 721-724.
IEEE DOI Link 0510
BibRef

Puthusserypady, S., Ratnarajah, T.,
Hinf-Adaptive Filters for Eye Blink Artifact Minimization From Electroencephalogram,
SPLetters(12), No. 12, December 2005, pp. 816-819.
IEEE DOI Link 0512
BibRef

Unsworth, C.P., Spowart, J.J., Lawson, G., Brown, J.K., Mulgrew, B., Minns, R.A., Clark, M.,
New hypothesis test: a repropagation method to test the applicability of linear ICA to a given problem (highlighted by an EEG case study applied to epilepsy),
VISP(152), No. 5, October 2005, pp. 545-552.
WWW Version. 0512
BibRef

Latif, M.A., Sanei, S., Chambers, J., Shoker, L.,
Localization of abnormal EEG sources using blind source separation partially constrained by the locations of known sources,
SPLetters(13), No. 3, March 2006, pp. 117-120.
IEEE DOI Link 0604
BibRef

Colliot, O.[Olivier], Camara, O.[Oscar], Bloch, I.[Isabelle],
Integration of fuzzy spatial relations in deformable models: Application to brain MRI segmentation,
PR(39), No. 8, August 2006, pp. 1401-1414.
WWW Version. Spatial relations; Deformable models; Fuzzy sets; MRI; Subcortical structures 0606
BibRef

Burguet, J., Gadi, N., Bloch, I.,
Realistic Models of Children Heads from 3D-MRI Segmentation and Tetrahedral Mesh Construction,
3DPVT04(631-638).
IEEE Abstract. 0412
BibRef

Ubeyli, E.D.[Elif Derya], Guler, I.[Inan],
Features extracted by eigenvector methods for detecting variability of EEG signals,
PRL(28), No. 5, 1 April 2007, pp. 592-603.
WWW Version. 0703
Mixture of experts (ME); Modified mixture of experts (MME); Eigenvector methods; Electroencephalogram (EEG) signals See also ECG beat classifier designed by combined neural network model. See also recurrent neural network classifier for Doppler ultrasound blood flow signals, A. BibRef

Marcel, S.[Sebastien], del R. Millan, J.[Jose],
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation,
PAMI(29), No. 4, April 2007, pp. 743-752.
IEEE DOI Link 0703
EEG for biometrics. Some tasks are more appropriate for authentication than others. BibRef

Palaniappan, R., Mandic, D.P.,
Biometrics from Brain Electrical Activity: A Machine Learning Approach,
PAMI(29), No. 4, April 2007, pp. 738-742.
IEEE DOI Link 0703
BibRef

Brunner, C.[Clemens], Naeem, M.[Muhammad], Leeb, R.[Robert], Graimann, B.[Bernhard], Pfurtscheller, G.[Gert],
Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis,
PRL(28), No. 8, 1 June 2007, pp. 957-964.
WWW Version. 0704
Spatial filtering; Independent components analysis (ICA); Common spatial patterns (CSP); Principal components analysis (PCA); Electroencephalogram (EEG); Brain-computer interface (BCI); Motor imagery BibRef

Barriga, E.S., Pattichis, M., Ts'o, D., Abramoff, M., Kardon, R., Kwon, Y., Soliz, P.,
Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images,
MedImg(26), No. 8, August 2007, pp. 1035-1045.
IEEE DOI Link 0709
BibRef

Sun, S.L.[Shi-Liang], Zhang, C.S.[Chang-Shui], Zhang, D.[Dan],
An experimental evaluation of ensemble methods for EEG signal classification,
PRL(28), No. 15, 1 November 2007, pp. 2157-2163.
WWW Version. 0711
Brain-computer interface (BCI); EEG signal classification; Bagging; Boosting; Random subspace BibRef

Zhong, M.J.[Ming-Jun], Lotte, F.[Fabien], Girolami, M.[Mark], Lecuyer, A.[Anatole],
Classifying EEG for brain computer interfaces using Gaussian processes,
PRL(29), No. 3, 1 February 2008, pp. 354-359.
WWW Version. 0801
Gaussian process; Brain computer interfaces; Support vector machine; EEG BibRef

Sun, S.L.[Shi-Liang], Zhang, C.S.[Chang-Shui], Lu, Y.[Yue],
The random electrode selection ensemble for EEG signal classification,
PR(41), No. 5, May 2008, pp. 1680-1692.
WWW Version. 0711
EEG signal classification; Classifier ensemble; Bayesian classifier; Gaussian mixture model; Fisher discriminant analysis BibRef

Li, Y.Q.[Yuan-Qing], Guan, C.T.[Cun-Tai], Li, H.Q.[Hui-Qi], Chin, Z.Y.[Zheng-Yang],
A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system,
PRL(29), No. 9, 1 July 2008, pp. 1285-1294.
WWW Version. 0711
Semi-supervised support vector machine (SVM); Model selection; Convergence; Brain computer interface (BCI); Electroencephalogram (EEG) BibRef

Everitt, R.G., Glendinning, R.H.,
A statistical approach to the problem of restoring damaged and contaminated images,
PR(42), No. 1, January 2009, pp. 115-125.
WWW Version. 0809
Bayesian statistics; Damaged images; EEG artefacts; Illumination variations; Photographs; Semi-parametric model BibRef

Alba, A.[Alfonso], Marroquin, J.L.[Jose L.], Arce-Santana, E.[Edgar], Harmony, T.[Thalia],
Classification and interactive segmentation of EEG synchrony patterns,
PR(43), No. 2, February 2010, pp. 530-544,.
Elsevier DOI Link
WWW Version. 0910
Interactive segmentation; Seeded region growing; Bayesian regularization; EEG synchrony; Electroencephalograpy; Psychophysiological experiment BibRef

Calvetti, D.[Daniela], Hakula, H.[Harri], Pursiainen, S.[Sampsa], Somersalo, E.[Erkki],
Conditionally Gaussian Hypermodels For Cerebral Source Localization,
SIIMS(2), No. 3, 2009, pp. 879-909. electroencephalography/magnetoencephalography; Markov chain Monte Carlo; finite element methods
WWW Version.
WWW Version. BibRef 0903

Li, J.[Jie], Zhang, L.Q.[Li-Qing],
Regularized tensor discriminant analysis for single trial EEG classification in BCI,
PRL(31), No. 7, 1 May 2010, pp. 619-628.
Elsevier DOI Link
WWW Version. 1004
Brain computer interfacing (BCI); Channel selection; Electroencephalogram (EEG); Regularized tensor discriminant analysis (RTDA); Single trial classification; Tensor factorization BibRef

Kayikcioglu, T.[Temel], Aydemir, O.[Onder],
A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data,
PRL(31), No. 11, 1 August 2010, pp. 1207-1215.
Elsevier DOI Link
WWW Version. 1008
Brain computer interface (BCI); Polynomial fitting; k-Nearest neighbor; Electroencephalogram (EEG); Feature extraction; Classification BibRef

Hu, S., Stead, M., Dai, Q., Worrell, G.A.,
On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence,
SMC-B(40), No. 5, October 2010, pp. 1294-1304.
IEEE DOI Link 1003
BibRef

Cecotti, H.[Hubert], Graeser, A.[Axel],
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces,
PAMI(33), No. 3, March 2011, pp. 433-445.
IEEE DOI Link 1102
BibRef
Earlier:
Convolutional Neural Network with embedded Fourier Transform for EEG classification,
ICPR08(1-4).
IEEE DOI Link 0812
To enable spelling out words. BibRef

Cecotti, H.[Hubert],
A time-frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses,
PRL(32), No. 8, 1 June 2011, pp. 1145-1153.
Elsevier DOI Link
WWW Version. 1101
Neural network; Convolution; Fourier transform; Spatial filters; Steady-state visual evoked potential (SSVEP); Electroencephalogram (EEG) BibRef

Gouy-Pailler, C.[Cédric], Sebag, M.[Michèle], Larue, A.[Anthony], Souloumiac, A.[Antoine],
Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise,
IJIST(21), No. 2, June 2011, pp. 148-157.
WWW Version. 1101
BibRef

Zhang, S.M.[Shao-Min], Liao, Y.[Yuxi], Zheng, X.X.[Xiao-Xiang], Chen, W.D.[Wei-Dong], Wang, Y.[Yiwen],
Decoding the nonstationary neural activity in motor cortex for brain machine interfaces,
IJIST(21), No. 2, June 2011, pp. 158-164.
WWW Version. 1101
BibRef

Nezamfar, H.[Hooman], Orhan, U.[Umut], Purwar, S.[Shalini], Hild, K.[Kenneth], Oken, B.[Barry], Erdogmus, D.[Deniz],
Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli,
IJIST(21), No. 2, June 2011, pp. 139-147.
WWW Version. 1101
BibRef

Venkatakrishnan, P., Sukanesh, R., Sangeetha, S.,
Detection of quadratic phase coupling from human EEG signals using higher order statistics and spectra,
SIViP(5), No. 2, June 2011, pp. 217-229.
WWW Version. 1101
BibRef

Ulas, A.[Aydin], Duin, R.P.W.[Robert P.W.], Castellani, U.[Umberto], Loog, M.[Marco], Mirtuono, P.[Pasquale], Bicego, M.[Manuele], Murino, V.[Vittorio], Bellani, M.[Marcella], Cerruti, S.[Stefania], Tansella, M.[Michele], Brambilla, P.[Paolo],
Dissimilarity-based detection of schizophrenia,
IJIST(21), No. 2, June 2011, pp. 179-192.
WWW Version. 1101
BibRef

Suk, H.I.[Heung-Il], Lee, S.W.[Seong-Whan],
Subject and class specific frequency bands selection for multiclass motor imagery classification,
IJIST(21), No. 2, June 2011, pp. 123-130.
WWW Version. 1101
brain-computer interface; frequency bands selection; motor imagery classification; ERD/ERS; electroencephalography BibRef

Zhang, S.M.[Shao-Min], Jiang, B.[Bo], Zhu, J.M.[Jun-Ming], Zhang, Q.S.[Qiao-Sheng], Chen, W.D.[Wei-Dong], Zheng, X.X.[Xiao-Xiang], Zhao, T.[Ting],
A study on combining local field potential and single unit activity for better neural decoding,
IJIST(21), No. 2, June 2011, pp. 165-172.
WWW Version. 1101
brain-machine interface; local field potential; single-unit activity; neural decoding; time-frequency domain BibRef

Wang, Q.A.[Qi-Ang], Sourina, O.[Olga], Nguyen, M.K.[Minh Khoa],
Fractal dimension based neurofeedback in serious games,
VC(27), No. 4, April 2011, pp. 299-309.
WWW Version. 1101
BibRef

Chaovalitwongse, W.A., Pottenger, R.S., Wang, S., Fan, Y.J., Iasemidis, L.D.,
Pattern- and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis,
SMC-A(41), No. 5, September 2011, pp. 977-988.
IEEE DOI Link 1109
BibRef

Hu, B.[Bin], Majoe, D.[Dennis], Ratcliffe, M.[Martyn], Qi, Y.[Yanbing], Zhao, Q.[Qinglin], Peng, H.[Hong], Fan, D.[Dangping], Zheng, F.[Fang], Jackson, M.[Mike], Moore, P.[Philip],
EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges,
IEEE_Int_Sys(26), No. 5, September-October 2011, pp. 46-53.
IEEE DOI Link 1110
BibRef

Anderson, J.[John], Betts, S.[Shawn], Ferris, J.[Jennifer], Fincham, J.[Jon], Yang, J.[Jian],
Using Brain Imaging to Interpret Student Problem Solving,
IEEE_Int_Sys(26), No. 5, September-October 2011, pp. 22-29.
IEEE DOI Link 1110
BibRef

Astolfi, L.[Laura], Toppi, J.[Jlenia], De Vico Fallani, F.[Fabrizio], Vecchiato, G.[Giovanni], Cincotti, F.[Febo], Wilke, C.[Christopher], Yuan, H.[Han], Mattia, D.[Donatella], Salinari, S.[Serenella], He, B.[Bin], Babiloni, F.[Fabio],
Imaging the Social Brain by Simultaneous Hyperscanning during Subject Interaction,
IEEE_Int_Sys(26), No. 5, September-October 2011, pp. 38-45.
IEEE DOI Link 1110
BibRef

Kroeker, K.L.[Kirk L.],
Improving Brain-Computer Interfaces,
CACM(54), No. 10, October 2011, pp. 11-14.
WWW Version. 1110
Researchers are demonstrating advances in restorative BCI systems that are giving paralyzed individuals more effective ways to communicate, move, and interact with their environment. BibRef

Sasayama, T.[Teruyoshi], Kobayashi, T.[Tetsuo],
Movement-Imagery Brain-Computer Interface: EEG Classification of Beta Rhythm Synchronization Based on Cumulative Distribution Function,
IEICE(E94-D), No. 12, December 2011, pp. 2479-2486.
WWW Version. 1112
BibRef

Ranta, R., Madhu, N.,
Reference Estimation in EEG: Analysis of Equivalent Approaches,
SPLetters(19), No. 1, January 2012, pp. 12-15.
IEEE DOI Link 1112
BibRef

Gibson, S., Judy, J.W., Markovic, D.,
Spike Sorting: The First Step in Decoding the Brain,
SPMag(29), No. 1, 2012, pp. 124-143.
IEEE DOI Link 1112
BibRef

Ito, S., Mitsukura, Y., Fukumi, M.,
A basic method for classifying humans based on an EEG analysis,
ICARCV08(1783-1786).
IEEE DOI Link 1109
BibRef

Metzen, J.H.[Jan Hendrik], Kim, S.K.[Su Kyoung], Kirchner, E.A.[Elsa Andrea],
Minimizing Calibration Time for Brain Reading,
DAGM11(366-375).
Springer DOI Link 1109
direct brain interface BibRef

Li, M.Z.[Ming-Zhao], Pan, J.[Jing],
An Effective Classification Approach for EEG-based BCI System,
ICIG11(897-901).
IEEE DOI Link 1109
BibRef

Belo, D.[David], Coito, A.L.[Ana Luísa], Paiva, T.[Teresa], Sanches, J.M.[João Miguel],
Topographic EEG Brain Mapping before, during and after Obstructive Sleep Apnea Episodes,
IbPRIA11(564-571).
Springer DOI Link 1106
BibRef

Mohanty, M.N.[Mihir Narayan], Routray, A.[Aurobinda], Kabisatpathy, P.[Prithviraj],
Optimisation of features using evolutionary algorithm for EEG signal classification,
IJCVR(1), No. 3, 2010, pp. 297-310.
WWW Version. 1102
BibRef

Kim, S.P.[Sung-Phil], Kim, M.K.[Min-Ki], Park, G.T.[Gwi-Tae],
A Simulation Study on the Generative Neural Ensemble Decoding Algorithms,
ICPR10(3797-3800).
IEEE DOI Link 1008
cortical activity decoding. BibRef

Satti, A.[Abdul], Guan, C.T.[Cun-Tai], Coyle, D.[Damien], Prasad, G.[Girijesh],
A Covariate Shift Minimisation Method to Alleviate Non-stationarity Effects for an Adaptive Brain-Computer Interface,
ICPR10(105-108).
IEEE DOI Link 1008
BibRef

Amcalar, A.[Armagan], Cetin, M.[Mujdat],
Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System,
ICPR10(117-120).
IEEE DOI Link 1008
BibRef

Ang, K.K.[Kai Keng], Guan, C.T.[Cun-Tai], Lee, K.[Kerry], Lee, J.Q.[Jie Qi], Nioka, S.[Shoko], Chance, B.[Britton],
A Brain-Computer Interface for Mental Arithmetic Task from Single-Trial Near-Infrared Spectroscopy Brain Signals,
ICPR10(3764-3767).
IEEE DOI Link 1008
BibRef

Mehta, N.A.[Nishant Ajay], Starner, T.E.[Thad E.], Jackson, M.M.[Melody Moore], Babalola, K.O.[Karolyn O.], James, G.A.[George Andrew],
Recognizing Sign Language from Brain Imaging,
ICPR10(3842-3845).
IEEE DOI Link 1008
BibRef

Argunsah, A.O.[Ali Ozgur], Cetin, M.[Mujdat],
AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces,
ICPR10(113-116).
IEEE DOI Link 1008
BibRef

Lotte, F.[Fabien], Guan, C.T.[Cun-Tai],
Spatially Regularized Common Spatial Patterns for EEG Classification,
ICPR10(3712-3715).
IEEE DOI Link 1008
BibRef

Su, F.[Fei], Xia, L.[Liwen], Cai, A.[Anni], Wu, Y.B.[Yi-Bing], Ma, J.S.[Jun-Shui],
EEG-based Personal Identification: from Proof-of-Concept to A Practical System,
ICPR10(3728-3731).
IEEE DOI Link 1008
BibRef

Khosrowabadi, R.[Reza], Quek, H.C.[Hiok Chai], Wahab, A.[Abdul], Ang, K.K.[Kai Keng],
EEG-based Emotion Recognition Using Self-Organizing Map for Boundary Detection,
ICPR10(4242-4245).
IEEE DOI Link 1008
BibRef

Wang, Z.[Zuoguan], Ji, Q.A.[Qi-Ang], Miller, K.J.[Kai J.], Schalk, G.[Gerwin],
Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process,
ICPR10(3756-3759).
IEEE DOI Link 1008
BibRef

Al-ani, T.[Tarik], Drouot, X.[Xavier], Huynh, T.T.T.[Thi Thuy Trang],
Non-linear EEG Analysis of Idiopathic Hypersomnia,
ICISP10(297-306).
Springer DOI Link 1006
BibRef

Ferreira, A.[António], Almeida, C.[Carlos], Georgieva, P.[Pétia], Tomé, A.[Ana], Silva, F.[Filipe],
Advances in EEG-Based Biometry,
ICIAR10(II: 287-295).
Springer DOI Link 1006
BibRef

Bokehi, J.R., Vasconcellos, N.C.M., Conci, A.,
Use of Coherence Measurements between EEG and EMG on Identification of the Myoclonus Locus,
WSSIP09(1-4).
IEEE DOI Link 0906
BibRef

Koroutchev, K.[Kostadin], Korutcheva, E.[Elka], Kanev, K.[Kamen], Albariño, A.R.[Apolinar Rodríguez], Gutierrez, J.L.M.[Jose Luis Muñiz], Balseiro, F.F.[Fernando Fariñaz],
Detection of Unusual Objects and Temporal Patterns in EEG Video Recordings,
ISVC09(I: 965-974).
Springer DOI Link 0911
BibRef

Li, X.X.[Xiao-Xia], Xu, G.[Guizhi], Shuo, Y.[Yang], Shang, X.[Xiukui],
Effect of EEG with the Acupuncture of Neiguan and Shenmen,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Mu, Z.[Zhendong], Xiao, D.[Dan], Hu, J.F.[Jian-Feng],
Classification of Motor Imagery EEG Signals Based on STFTs,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Lv, C.Z.[Chang-Zhi], Fan, D.[Di], Wang, M.[Min], Gao, G.H.[Guang-Heng],
A Wireless Collector for EEG Signal of Freely Behaving White Mice,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Sourina, O.[Olga], Sourin, A.[Alexei], Kulish, V.[Vladimir],
EEG Data Driven Animation and Its Application,
MIRAGE09(380-388).
Springer DOI Link 0905
BibRef

Pires, P.[Pedro], Paiva, T.[Teresa], Sanches, J.[João],
Sleep/Wakefulness State from Actigraphy,
IbPRIA09(362-369).
Springer DOI Link 0906
BibRef

Korb, S.[Sebastian], Grandjean, D.[Didier], Scherer, K.[Klaus],
Investigating the production of emotional facial expressions: A combined electroencephalographic (EEG) and electromyographic (EMG) approach,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Lu, S.J.[Shi-Jian], Guan, C.T.[Cun-Tai], Zhang, H.H.[Hai-Hong],
Subject-independent brain computer interface through boosting,
ICPR08(1-4).
IEEE DOI Link 0812
EEG classification BibRef

Lotte, F.[Fabien], Mouchere, H.[Harold], Lecuyer, A.[Anatole],
Pattern rejection strategies for the design of self-paced EEG-based Brain-Computer Interfaces,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Shen, T.W.[Tsu-Wang], Kuo, X.[Xavier], Yu, C.S.[Chung-Shan],
Intelligence computing approach for seizure detection based on intracranial electroencephalogram (IEEG),
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Sun, S.[Shiliang],
Multitask learning for EEG-based biometrics,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Rafik, K.[Khemakhem], Ahmed, B.H.[Ben Hamida], Imed, F.[Feki], Abdelmalik, T.A.[Taleb-Ahmed],
Recursive sLORETA-FOCUSS Algorithm for EEG Dipoles Localization,
IPTA08(1-5).
IEEE DOI Link 0811
BibRef

Alba, A.[Alfonso], Arce-Santana, E.[Edgar],
Visualization of Dynamic Connectivity in High Electrode-Density EEG,
ISVC08(I: 1040-1050).
Springer DOI Link 0812
BibRef

Poli, R.[Riccardo], Salvaris, M.[Mathew], Cinel, C.[Caterina],
Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse,
EvoIASP11(214-223).
Springer DOI Link 1104
BibRef

Poli, R.[Riccardo], Cinel, C.[Caterina], Citi, L.[Luca], Sepulveda, F.[Francisco],
Evolutionary Brain Computer Interfaces,
EvoIASP07(301-310).
Springer DOI Link 0704
BibRef

Millán, J.D.[José Del_R.], Ferrez, P.W.[Pierre W.], Galán, F.[Ferran], Lew, E.[Eileen], Chavarriaga, R.[Ricardo],
Non-invasive Brain-Actuated Interaction,
BVAI07(438-447).
Springer DOI Link 0710
BibRef

Sahin, C.[Cenk], Ogulata, S.N.[Seyfettin Noyan], Aslan, K.[Kezban], Bozdemir, H.[Hacer],
The Application of Neural Networks in Classification of Epilepsy Using EEG Signals,
BVAI07(499-508).
Springer DOI Link 0710
BibRef

Liefhold, C.[Christian], Grosse-Wentrup, M.[Moritz], Gramann, K.[Klaus], Buss, M.[Martin],
Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces,
DAGM07(274-283).
Springer DOI Link 0709
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Multiple Sclerosis Detection and Analysis .