20.9.8 Brain, Cortex, Brain Waves, EEG Analysis

Chapter Contents (Back)
Brain. Cortex. Electroencephalogram. EEG.

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

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Nouira, I.[Ibtihel], Ben Abdallah, A.[Asma], Bedoui, M.H.[Mohamed Hedi],
Three-dimensional interpolation methods to spatiotemporal EEG mapping during various behavioral states,
SIViP(10), No. 5, May 2016, pp. 943-949.
Springer DOI 1608
BibRef

Strohmeier, D., Bekhti, Y., Haueisen, J., Gramfort, A.,
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction,
MedImg(35), No. 10, October 2016, pp. 2218-2228.
IEEE DOI 1610
Brain modeling BibRef

Hajinoroozi, M.[Mehdi], Mao, Z.J.[Zi-Jing], Jung, T.P.[Tzyy-Ping], Lin, C.T.[Chin-Teng], Huang, Y.[Yufei],
EEG-based prediction of driver's cognitive performance by deep convolutional neural network,
SP:IC(47), No. 1, 2016, pp. 549-555.
Elsevier DOI 1610
Deep neural network BibRef

Dong, S.Y., Kim, B.K., Lee, S.Y.,
EEG-Based Classification of Implicit Intention During Self-Relevant Sentence Reading,
Cyber(46), No. 11, November 2016, pp. 2535-2542.
IEEE DOI 1609
electroencephalography BibRef

Sun, L., Feng, Z.R.,
Classification of imagery motor EEG data with wavelet denoising and features selection,
ICWAPR16(184-188)
IEEE DOI 1611
Algorithm design and analysis BibRef

Handiru, V.S., Prasad, V.A.,
Optimized Bi-Objective EEG Channel Selection and Cross-Subject Generalization With Brain-Computer Interfaces,
HMS(46), No. 6, December 2016, pp. 777-786.
IEEE DOI 1612
brain-computer interfaces BibRef

Iacoviello, D., Petracca, A., Spezialetti, M., Placidi, G.,
A Classification Algorithm for Electroencephalography Signals by Self-Induced Emotional Stimuli,
Cyber(46), No. 12, December 2016, pp. 3171-3180.
IEEE DOI 1612
Cybernetics BibRef

Maiorana, E.[Emanuele], Solé-Casals, J.[Jordi], Campisi, P.[Patrizio],
EEG signal preprocessing for biometric recognition,
MVA(27), No. 8, November 2016, pp. 1351-1360.
Springer DOI 1612
BibRef

Maiorana, E.[Emanuele], Rocca, D.L., Campisi, P.[Patrizio],
Cognitive biometric cryptosystems a case study on EEG,
WSSIP15(125-128)
IEEE DOI 1603
biometrics (access control) BibRef

Pacola, E.[Edras], Quandt, V.[Veronica], Liberalesso, P.[Paulo], Pichorim, S.[Sérgio], Schneider, F.[Fábio], Gamba, H.[Humberto],
A versatile EEG spike detector with multivariate matrix of features based on the linear discriminant analysis, combined wavelets, and descriptors,
PRL(86), No. 1, 2017, pp. 31-37.
Elsevier DOI 1702
EEG BibRef

Naruniec, J.[Jacek], Wieczorek, M.[Michal], Szlufik, S.[Stanislaw], Koziorowski, D.[Dariusz], Tomaszewski, M.[Michal], Kowalski, M.[Marek], Przybyszewski, A.[Andrzej],
Webcam-based system for video-oculography,
IET-CV(11), No. 2, March 2017, pp. 173-180.
DOI Link 1703
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Saha, S.[Sajib], Rana, R.[Rajib], Nesterets, Y.[Yakov], Tahtali, M.[Murat], de Hoog, F.[Frank], Gureyev, T.[Timur],
Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model,
IJIST(27), No. 1, 2017, pp. 46-56.
DOI Link 1704
electroencephalography BibRef

Costa, F., Batatia, H., Oberlin, T., Tourneret, J.Y.,
Skull Conductivity Estimation for EEG Source Localization,
SPLetters(24), No. 4, April 2017, pp. 422-426.
IEEE DOI 1704
Bayes methods BibRef

Balducci, F.[Fabrizio], Grana, C.[Costantino], Cucchiara, R.[Rita],
Affective level design for a role-playing videogame evaluated by a brain-computer interface and machine learning methods,
VC(33), No. 4, April 2017, pp. 413-427.
WWW Link. 1704
BibRef

Vourvopoulos, A.[Athanasios], Bermudez i Badia, S.[Sergi], Liarokapis, F.[Fotis],
EEG correlates of video game experience and user profile in motor-imagery-based brain-computer interaction,
VC(33), No. 4, April 2017, pp. 533-546.
WWW Link. 1704
BibRef

Vorwerk, J., Engwer, C., Pursiainen, S., Wolters, C.H.,
A Mixed Finite Element Method to Solve the EEG Forward Problem,
MedImg(36), No. 4, April 2017, pp. 930-941.
IEEE DOI 1704
Brain models 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.
DOI Link 1102
BibRef

Santillán-Guzmán, A.[Alina], Heute, U.[Ulrich], Stephani, U.[Ulrich], Galka, A.[Andreas],
Comparison of different methods to suppress muscle artifacts in EEG signals,
SIViP(11), No. 4, May 2017, pp. 761-768.
Springer DOI 1704
BibRef

Saleh, M., Karfoul, A., Kachenoura, A., Merlet, I., Albera, L.,
Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising,
SPLetters(24), No. 6, June 2017, pp. 882-886.
IEEE DOI 1705
Complexity theory, Convergence, Electroencephalography, Mathematical model, Noise reduction, Signal processing algorithms, Taylor series, BSS, deflation optimization procedure, electroencephalography (EEG) denoising, independent, component, analysis, (ICA) BibRef

Haor, D., Shavit, R., Shapiro, M., Geva, A.B.,
Back-Projection Cortical Potential Imaging: Theory and Results,
MedImg(36), No. 7, July 2017, pp. 1583-1595.
IEEE DOI 1707
Brain modeling, Electric potential, Electroencephalography, Estimation, Imaging, Scalp, Cortical potential imaging, backprojection, finite element method, head modeling, surface, Laplacian BibRef

Li, F., Zhang, G., Wang, W., Xu, R., Schnell, T., Wen, J., McKenzie, F., Li, J.,
Deep Models for Engagement Assessment With Scarce Label Information,
HMS(47), No. 4, August 2017, pp. 598-605.
IEEE DOI 1708
Brain models, Data models, Electroencephalography, Feature extraction, Machine learning, Training, Deep learning, electroencephalography (EEG), engagement assessment, scarce, label, information BibRef

Gupta, V.[Vipin], Priya, T.[Tanvi], Yadav, A.K.[Abhishek Kumar], Pachori, R.B.[Ram Bilas], Acharya, U.R.[U. Rajendra],
Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform,
PRL(94), No. 1, 2017, pp. 180-188.
Elsevier DOI 1708
EEG BibRef

Arunkumar, N., Ramkumar, K., Venkatraman, V., Abdulhay, E.[Enas], Fernandes, S.L.[Steven Lawrence], Kadry, S.[Seifedine], Segal, S.[Sophia],
Classification of focal and non focal EEG using entropies,
PRL(94), No. 1, 2017, pp. 112-117.
Elsevier DOI 1708
Classification BibRef

Muhammad Umar Saeed, S.[Sanay], Muhammad Anwar, S.[Syed], Majid, M.[Muhammad],
Quantification of Human Stress Using Commercially Available Single Channel EEG Headset,
IEICE(E100-D), No. 9, September 2017, pp. 2241-2244.
WWW Link. 1709
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Khan, M.S., Deng, H.,
Design and Prototyping a Smart Deep Brain Stimulator: An Autonomous Neuro-Sensing and Stimulating Electrode System,
IEEE_Int_Sys(32), No. 5, September 2017, pp. 14-27.
IEEE DOI 1710
Artificial intelligence, Brain models, Electrodes, Implants, Micromechanical devices, Process control, BibRef

Mu, Z.D.[Zhen-Dong], Hu, J.F.[Jian-Feng], Min, J.L.[Jian-Liang], Yin, J.H.[Jing-Hai],
Comparison of different entropies as features for person authentication based on EEG signals,
IET-Bio(6), No. 6, November 2017, pp. 409-417.
DOI Link 1711
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Cirett-Galán, F.[Federico], Torres-Peralta, R.[Raquel], Beal, C.R.[Carole R.],
Language Proficiency Classification During Computer-Based Test with EEG Pattern Recognition Methods,
MCPR17(288-296).
Springer DOI 1706
BibRef

Wu, S.[Shan], Wang, S.F.[Shang-Fei], Zhu, Y.C.[Ya-Chen], Gao, Z.[Zhen], Yue, L.H.[Li-Hua], Ji, Q.A.[Qi-Ang],
Employing subjects' information as privileged information for emotion recognition from EEG signals,
ICPR16(301-306)
IEEE DOI 1705
Bayes methods, Databases, Electroencephalography, Emotion recognition, Feature extraction, Testing, Training BibRef

Sarker, T., Paul, S., Rayhan, A., Zabir, I., Shahnaz, C.,
Bi-spectral higher order statistics and time-frequency domain features for arithmetic task classification from EEG signals,
IVPR17(1-4)
IEEE DOI 1704
Data mining BibRef

Torres-Valencia, C., Hernandez-Muriel, J., Gonzalez-Vanegas, W., Alvarez-Meza, A., Orozco, A., Alvarez, M.,
Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data,
CIARP16(443-450).
Springer DOI 1703
BibRef

Davis, P., Creusere, C.D., Kroger, J.,
The effect of perceptual video quality on EEG power distribution,
ICIP16(2420-2424)
IEEE DOI 1610
Degradation BibRef

Betül Yüce, A., Yaslan, Y.,
A disagreement based co-active learning method for sleep stage classification,
WSSIP16(1-4)
IEEE DOI 1608
frequency-domain analysis BibRef

Khouaja, I., Nouira, I., Bedoui, M.H., Akil, M.,
Enhancing EEG Surface Resolution by Using a Combination of Kalman Filter and Interpolation Method,
CGiV16(353-357)
IEEE DOI 1608
Kalman filters BibRef

Pinto, D.[David], Vilariño, D.[Darnes], Morales, I.[Illiana], Aguilar, C.[Cristina], Tovar, M.[Mireya],
Using N-Grams of Quantized EEG Values for Happiness Detection,
MCPR16(270-279).
Springer DOI 1608
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Avilés-Cruz, C.[Carlos], Villegas-Cortez, J.[Juan], Ferreyra-Ramírez, A.[Andrés], López, A.Z.[Arturo Zúñiga],
EEG Pattern Recognition: An Efficient Improvement Combination of ERD/ERS/Laterality Features to Create a Self-paced BCI System,
MCPR16(231-240).
Springer DOI 1608
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Meloni, P., Tuveri, G., Pani, D., Raffo, L., Palumbo, F.,
Exploring custom heterogeneous MPSoCs for real-time neural signal decoding,
DASIP15(1-8)
IEEE DOI 1605
biomedical electronics BibRef

Hassen, A.E., Histace, A., Terosiet, M., Romain, O.,
FPGA-based detection of QRS complexes in ECG signal,
DASIP15(1-7)
IEEE DOI 1605
electrocardiography BibRef

Davis, P., Creusere, C.D., Kroger, J.,
Assessing cross frequency coupling in EEG collected from subjects viewing video using a modified metric,
Southwest16(17-20)
IEEE DOI 1605
Band-pass filters BibRef

Davis, P.[Philip], Creusere, C.D.[Charles D.], Kroger, J.[Jim],
Subject identification based on EEG responses to video stimuli,
ICIP15(1523-1527)
IEEE DOI 1512
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Ghaemmaghami, P.[Pouya], Abadi, M.K.[Mojtaba Khomami], Kia, S.M.[Seyed Mostafa], Avesani, P.[Paolo], Sebe, N.[Nicu],
Movie Genre Classification by Exploiting MEG Brain Signals,
CIAP15(I:683-693).
Springer DOI 1511
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Barra, S.[Silvio], Casanova, A.[Andrea], Fraschini, M.[Matteo], Nappi, M.[Michele],
EEG/ECG Signal Fusion Aimed at Biometric Recognition,
BioFor15(35-42).
Springer DOI 1511
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Patrone, M.[Martín], Lecumberry, F.[Federico], Martín, Á.[Álvaro], Ramirez, I.[Ignacio], Seroussi, G.[Gadiel],
EEG Signal Pre-Processing for the P300 Speller,
CIARP15(559-566).
Springer DOI 1511
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Valadez, S.[Sergio], Sossa, H.[Humberto], Santiago-Montero, R.[Raúl], Guevara, E.[Elizabeth],
Encoding Polysomnographic Signals into Spike Firing Rate for Sleep Staging,
MCPR15(282-291).
Springer DOI 1506
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Gudiño-Mendoza, B.[Berenice], Sossa, H.[Humberto], Sanchez-Ante, G.[Gildardo], Antelis, J.M.[Javier M.],
Classification of Motor States from Brain Rhythms Using Lattice Neural Networks,
MCPR16(303-312).
Springer DOI 1608
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Ojeda, L.[Leonardo], Vega, R.[Roberto], Falcon, L.E.[Luis Eduardo], Sanchez-Ante, G.[Gildardo], Sossa, H.[Humberto], Antelis, J.M.[Javier M.],
Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing,
MCPR15(23-32).
Springer DOI 1506
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Bozhkov, L.[Lachezar], Georgieva, P.[Petia],
Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics,
IbPRIA15(415-422).
Springer DOI 1506
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Zammouri, A., Aitmoussa, A., Chevallier, S., Monacelli, E.,
Intelligentocular artifacts removal in a noninvasive singlechannel EEG recording,
ISCV15(1-5)
IEEE DOI 1506
brain BibRef

Moon, J.[Jinyoung], Kwon, Y.J.[Yong-Jin], Kang, K.[Kyuchang], Bae, C.[Changseok], Yoon, W.C.[Wan Chul],
Recognition of Meaningful Human Actions for Video Annotation Using EEG Based User Responses,
MMMod15(II: 447-457).
Springer DOI 1501
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Zhao, R.[Rui], Schalk, G.[Gerwin], Ji, Q.A.[Qi-Ang],
Coupled Hidden Markov Model for Electrocorticographic Signal Classification,
ICPR14(1858-1862)
IEEE DOI 1412
Accuracy BibRef

Yang, S.[Su], Deravi, F.[Farzin],
Novel HHT-Based Features for Biometric Identification Using EEG Signals,
ICPR14(1922-1927)
IEEE DOI 1412
Algorithm design and analysis BibRef

García-Vega, S., Álvarez-Meza, A.M., Castellanos-Domínguez, G.[Germán],
Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings,
CIARP14(247-254).
Springer DOI 1411
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Ouyang, W.J.[Wen-Jia], Cashion, K., Asari, V.K.,
Electroencephelograph based brain machine interface for controlling a robotic arm,
AIPR13(1-7)
IEEE DOI 1408
biomedical electrodes BibRef

Durandau, G.[Guillaume], Suleiman, W.[Wael],
Toward a Unified Framework for EMG Signals Processing and Controlling an Exoskeleton,
CRV14(291-298)
IEEE DOI 1406
electromyography. EMG Computational modeling BibRef

Kunze, K., Shiga, Y., Ishimaru, S., Kise, K.,
Reading Activity Recognition Using an Off-the-Shelf EEG: Detecting Reading Activities and Distinguishing Genres of Documents,
ICDAR13(96-100)
IEEE DOI 1312
electroencephalography BibRef

Relvas, V.[Vânia], Sanches, J.M.[J. Miguel], Figueiredo, P.[Patrícia],
Scalp EEG Continuous Space ERD/ERS Quantification,
IbPRIA13(616-623).
Springer DOI 1307
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Rothlübbers, S.[Sven], Relvas, V.[Vânia], Leal, A.[Alberto], Figueiredo, P.[Patrícia],
Characterization and Reduction of MR-Environment-Related EEG Artefacts,
IbPRIA13(808-818).
Springer DOI 1307
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Sivarajah, Y., Holden, E.J., Kovesi, P., Togneri, R., Tan, T., Price, G.,
Studying the Impact of Feature Saliency for Geoscientific Target Detection Using Electroencephalography (EEG),
DICTA12(1-6).
IEEE DOI 1303
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Yang, H.J.[Hui-Juan], Guan, C.T.[Cun-Tai], Ang, K.K.[Kai Keng], Zhang, H.[Haihong], Wang, C.C.[Chuan Chu],
Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification,
ICPR12(2169-2172).
WWW Link. 1302
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A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length,
ICPR12(1302-1305).
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Orthogonal Locality Sensitive Fuzzy Discriminant Analysis in Sleep-Stage Scoring,
ICPR10(165-168).
IEEE DOI 1008
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Iturralde, P.A.[Pablo A.], Patrone, M.[Martín], Lecumberry, F.[Federico], Fernández, A.[Alicia],
Motor Intention Recognition in EEG: In Pursuit of a Relevant Feature Set,
CIARP12(551-558).
Springer DOI 1209
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Fernandez, A., Penedo, M.G., Ortega, M., Cancela, B., Vazquez, C., Gigirey, L.M.,
Automatic Analysis of the Patient's Conscious Responses to the Emission of Auditory Stimuli during the Performance of an Audiometry,
DICTA11(291-296).
IEEE DOI 1205
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Bhattacharyya, S., Roy, A., Dogra, D.P., Biswas, A., Mukherjee, J., Majumdar, A.K., Majumdar, B., Mukherjee, S., Singh, A.K.,
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NCVPRIPG11(134-137).
IEEE DOI 1205
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Ito, S., Mitsukura, Y., Fukumi, M.,
A basic method for classifying humans based on an EEG analysis,
ICARCV08(1783-1786).
IEEE DOI 1109
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Metzen, J.H.[Jan Hendrik], Kim, S.K.[Su Kyoung], Kirchner, E.A.[Elsa Andrea],
Minimizing Calibration Time for Brain Reading,
DAGM11(366-375).
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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 1109
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Kim, S.P.[Sung-Phil], Kim, M.K.[Min-Ki], Park, G.T.[Gwi-Tae],
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ICPR10(3797-3800).
IEEE DOI 1008
cortical activity decoding. 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 1008
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Lotte, F.[Fabien], Guan, C.T.[Cun-Tai],
Spatially Regularized Common Spatial Patterns for EEG Classification,
ICPR10(3712-3715).
IEEE DOI 1008
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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 1008
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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 1008
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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 1008
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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 1006
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Ferreira, A.[António], Almeida, C.[Carlos], Georgieva, P.[Pétia], Tomé, A.[Ana], Silva, F.[Filipe],
Advances in EEG-Based Biometry,
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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 0906
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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 0911
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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 0910
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Mu, Z.[Zhendong], Xiao, D.[Dan], Hu, J.F.[Jian-Feng],
Classification of Motor Imagery EEG Signals Based on STFTs,
CISP09(1-4).
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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 0910
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Sourina, O.[Olga], Sourin, A.[Alexei], Kulish, V.[Vladimir],
EEG Data Driven Animation and Its Application,
MIRAGE09(380-388).
Springer DOI 0905
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Pires, P.[Pedro], Paiva, T.[Teresa], Sanches, J.M.[João M.],
Sleep/Wakefulness State from Actigraphy,
IbPRIA09(362-369).
Springer DOI 0906
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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 0809
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Sun, S.L.[Shi-Liang],
Multitask learning for EEG-based biometrics,
ICPR08(1-4).
IEEE DOI 0812
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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 0811
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Alba, A.[Alfonso], Arce-Santana, E.[Edgar],
Visualization of Dynamic Connectivity in High Electrode-Density EEG,
ISVC08(I: 1040-1050).
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Chacón, M.[Max], Severino, M.[Mariela], Panerai, R.[Ronney],
Gray Box Model with an SVM to Represent the Influence of PaCO2 on the Cerebral Blood Flow Autoregulation,
CIARP11(630-637).
Springer DOI 1111
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Chacón, M.[Max], Diaz, D.[Darwin], Ríos, L.[Luis], Evans, D.[David], Panerai, R.[Ronney],
Support Vector Machine with External Recurrences for Modeling Dynamic Cerebral Autoregulation,
CIARP06(954-963).
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Breun, P.[Peter], Grosse-Wentrup, M.[Moritz], Utschick, W.[Wolfgang], Buss, M.[Martin],
Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity,
DAGM06(394-403).
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ICA analysis of MEG/EEG. BibRef

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Tomioka, R.[Ryota], Dornhege, G.[Guido], Nolte, G.[Guido], Aihara, K.[Kazuyuki], Müller, K.R.[Klaus-Robert],
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DAGM06(414-423).
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Yun, M.H.[Myung Hwan], Lee, J.H.[Joo Hwan], Lee, H.J.[Hyoung-Joo], Cho, S.Z.[Sung-Zoon],
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ICB06(706-712).
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Xu, W.J.[Wen-Jie], Guan, C.T.[Cun-Tai], Siong, C.E.[Chng Eng], Ranganatha, S., Thulasidas, M., Wu, J.K.[Jian-Kang],
High accuracy classification of EEG signal,
ICPR04(II: 391-394).
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Mattout, J., Garnero, L., Pelegrini-Issac, M., Benali, H.,
Statistical Method for Source Localization in MEG/EEG Tomographic Reconstruction Problem,
ICIP01(I: 714-717).
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Singh, S.,
EEG Data Classification with Localised Structural Information,
ICPR00(Vol II: 271-274).
IEEE DOI 0009
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Li, T.H., Klemm, W.R.,
Detection of Cognitive Binding During Ambiguous Figure Tasks by Wavelet Coherence Analysis of EEG Signals,
ICPR00(Vol III: 94-97).
IEEE DOI 0009
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Chitti, Y.[Yasmina],
Application of image processing in neurobiology: Detection of low signals with high spatial resolution and a non-uniform variance,
CIAP95(253-257).
Springer DOI 9509
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Cong, Z.X.[Zhang-Xin],
The study of human brain electrical activity: A topographic mapping approach,
ICPR88(II: 649-651).
IEEE DOI 8811
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Zhong, C.X.[Chun Xiang], Ping, X.[Xiao], Wu, X.M.[Xiao Ming], Wu, L.Y.[Lei Yi],
A contextual method for electroencephalogram recognition,
ICPR88(II: 911-913).
IEEE DOI 8811
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain-Computer Interface, Brain-Machine Interface .


Last update:Nov 11, 2017 at 13:31:57