Acar E, Yener B (2009) Unsupervised multiway data analysis: a literature survey. IEEE Trans Knowl Data Eng 21(1):6–20

Article  Google Scholar 

Arvaneh M, Guan C, Ang KK, Quek C (2011) Optimizing the channel selection and classification accuracy in EEG-based BCI. IEEE Trans Biomed Eng 58:1865–1873

Article  PubMed  Google Scholar 

Azab AM, Ahmadi H, Mihaylova L, Arvaneh M (2019) Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface. J Neural Eng 1:016061

Google Scholar 

Blankertz B, Müller K, Krusienski DJ, Schalk G, Birbaumer N (2006) The BCI competition III: validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehabil Eng 14(2):153–159

Article  PubMed  Google Scholar 

Blankertz B, Tomioka R, Lemm S, Kawanabe M, Muller KR (2007) Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Process Mag 25(1):41–56

Article  Google Scholar 

Cerritelli B, Maruff P, Wilson P, Currie J (2000) The effect of an external load on the force and timing components of mentally represented actions. Behav Brain Res 108:91–96

Article  CAS  PubMed  Google Scholar 

Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):1–27

Article  Google Scholar 

Cichocki A, Mandic D, Lathauwer LD, Zhou G, Zhao Q et al (2015) Tensor decompositions for signal processing applications from two-way to multiway component analysis. IEEE Signal Process Mag 32(2):145–163

Article  Google Scholar 

Cichocki A, Zdunek R, Phan AH, Amari SI (2008) Nonnegative matrix and tensor factorizations. IEEE Signal Process Mag 25(1):142–145

Article  Google Scholar 

Cong F, Lin Q-H, Kuang L-D, Gong X-F, Astikainen P, Ristaniemi T (2015) Tensor decomposition of EEG signals: a brief review. J Neurosci Methods 248:59–69

Article  PubMed  Google Scholar 

Cong F, Lin Q-H, Kuang L-D, Gong X-F, Astikainen P, Ristaniemi T (2015) Tensor decomposition of EEG signals: a brief review. J Neurosci Methods 248:59–69

Article  PubMed  Google Scholar 

Coppersmith D, Hong SJ, Hosking JRM (1999) Partitioning nominal attributes in decision trees. Data Min Knowl Disc 3:197–217

Article  Google Scholar 

CoxR DD, Savoy L (2003) Functional magnetic resonance imaging (fMRI) “brain reading’’: detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 19(2):261–270

Article  Google Scholar 

Ehrsson HH (2003) Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations. J Neurophysiol 90(5):3304–3316

Article  PubMed  Google Scholar 

Estienne F, Matthijs N, Massart DL, Ricoux P, Leibovici D (2001) Multi-way modelling of high-dimensionality electroencephalographic data. Chemom Intell Lab Syst 58(1):59–72

Article  CAS  Google Scholar 

Friedman JH (1989) Regularized discriminant analysis. J Am Stat Assoc 84(405):165–175

Article  Google Scholar 

Fu R, Tian Y, Bao T, Meng Z, Shi P (2019) Improvement motor imagery EEG classification based on regularized linear discriminant analysis. Image Signal Process 43:169

Google Scholar 

Ghaemi A, Rashedi E, Pourrahimi AM, Kamandar M, Rahdari F (2017) Automatic channel selection in EEG signals for classification of left or right hand movement in brain computer interfaces using improved binary gravitation search algorithm. Biomed Signal Process Control 33:109–118

Article  Google Scholar 

Han J, Zhao Y, Sun H, Chen J, Ke A, Xu G, Zhang H, Zhou J, Wang C, Fast A (2018) Open EEG classification framework based on feature compression and channel ranking. Front Neurosci 12:217

Article  PubMed  PubMed Central  Google Scholar 

He H, Wu D (2020) Transfer learning for brain-computer interfaces: a Euclidean space data alignment approach. IEEE Trans Biomed Eng 67(2):399–410

Article  PubMed  Google Scholar 

Herrmann CS, Mecklinger A, Pfeifer E (1999) Gamma responses and ERPs in a visual classification task. Clin Neurophysiol 110(4):636–642

Article  CAS  PubMed  Google Scholar 

Jareda M-K, Sharma R, Kukker A (2019) EEG Signal based Seizure Classification Using Wavelet Transform. In: proceedings of 2019 international conference on computing, power and communication technologies (GUCON), New Delhi, India, 27-28:19276285

Jin J, Liu C, Daly I, Miao Y, Li S, Wang X, Cichocki A (2020) Bispectrum-based channel selection for motor imagery based brain-computer interfacing. IEEE Trans Neural Syst Rehabil Eng 28(10):2153–2163

Article  PubMed  Google Scholar 

Jin J, Miao Y, Daly I, Zuo C, Hu D, Cichocki A (2019) Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Netw 118:262–270

Article  PubMed  Google Scholar 

Kolda TG, Bader BW (2009) Tensor decompositions and applications. SIAM Rev 51(3):455–500

Article  Google Scholar 

Kori GS, Kakkasageri MS (2023) Classification and regression tree (CART) based resource allocation scheme for wireless sensor networks. Comput Commun 197:242–254

Article  Google Scholar 

Kukker A, Sharma R (2021) A genetic algorithm assisted Fuzzy Q-learning epileptic seizure classifier. Comput Electr Eng 92:107154

Article  Google Scholar 

Lal TN, Schroder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N, Scholkopf B (2004) Support vector channel selection in BCI. IEEE Trans Biomed Eng 51:1003–1010

Article  PubMed  Google Scholar 

Li Y, Namburi P, Yu Z, Guan C, Feng J, Gu Z (2009) Voxel selection in fMRI data analysis based on sparse representation. IEEE Trans Biomed Eng 56(10):2439–2451

Article  PubMed  Google Scholar 

Liu Y, Zhao Q, Zhang L (2015) Uncorrelated multiway discriminant analysis for motor imagery EEG classification. Int J Neural Syst 25(4):1550013

Article  PubMed  Google Scholar 

Lu H, Eng HL, Guan C, Plataniotis KN, Venetsanopoulos AN (2010) Regularized common spatial pattern with aggregation for EEG classification in small-sample setting. IEEE Trans Biomed Eng 57(12):2936–2946

Article  PubMed  Google Scholar 

Muller-Gerking J, Pfurtscheller G, Flyvbjerg H (1999) Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin Neurophysiol 110(5):787–798

Article  CAS  PubMed  Google Scholar 

Pei Y, Sheng T, Luo Z, Xie L, Li W, Yan Y, Yin E (2022) A tensor-based frequency features combination method for brain-computer interfaces. IEEE Trans Neural Syst Rehabil Eng 30:465–475

Article  PubMed  Google Scholar 

Pfurtscheller G, Lopes da Silva FH (1999) Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol 110:1842–1857

Article  CAS  PubMed  Google Scholar 

Pfurtscheller G, Neuper C (2001) Motor imagery and direct brain-computer communication. Proceed IEEE 89(7):1123–1134

Article  Google Scholar 

Ruan J, Wu X, Zhou B, Guo X, Lv Z (2018) An automatic channel selection approach for ICA-based motor imagery brain computer interface. J Med Syst 42:253

Article  PubMed  Google Scholar 

Sorber L, Barel MV, Lathauwer LD (2012) Unconstrained optimization of real functions in complex variables. SIAM J Optim 22(3):879–898

Article  Google Scholar 

Sorber L, Van Barel M, De Lathauwer L (2015) Structured data fusion. EEE J Sel Top Sign Process 9(4):586–600

Article  Google Scholar 

Tangermann M, Müller K-R, Aertsen A, Birbaumer N, Blankertz B (2012) Review of the BCI competition IV. Front Neurosci-Switz 6:55

Google Scholar 

Toro C, Deuschl G, Thatcher R, Sato S, Kufta C, Hallett M (1994) Event-related desynchronization and movement-related cortical potentials on the ECoG and EEG. Electroencephalogr Clin Neurophysiol 93(5):380–389

Article  CAS  PubMed  Google Scholar 

Vapnik VN (2000) The Nature of Statistical Learning Theory. Springer-Verlag, New York

Book  Google Scholar 

Varsehi H, Firoozabadi SMP (2021) An EEG channel selection method for motor imagery-based brain-computer interface and neurofeedback using Granger causality. Neural Netw 133:193–206

Article  PubMed  Google Scholar 

Vervliet N, Debals O, Sorber L, Van Barel M, De Lathauwer L (2016) Tensorlsb 3.0, Mar. 2016, Available online. URL: http://www.tensorlab.net

Virgilio CD, Sossa JH, Antelis JM, Falcon LE (2020) Spiking Neural Networks applied to the classification of motor tasks in EEG signals. Neural Netw 122:130–143

Article  Google Scholar 

Wang B, Wong CM, Wan F, Mak PU, Mak PI, Vai MI (2009.6) Comparison of different classification methods for EEG-based brain computer interfaces: a case study. In: Proceedings of 2009 international conference on information and automation, Zhuhai/Macau, China, 22-24, 1416-1421

Wei Q, Lu Z, Chen K, Ma Y (2010) Channel selection for optimizing feature extraction in an electrocorticogram-based brain-computer interface. J Clin Neurophysiol 27(5):321–327

Article  PubMed  Google Scholar 

Xu S, Zhu L, Kong W, Peng Y, Hu H, Cao J (2022) A novel classification method for EEG-based motor imagery with narrow band spatial filters and deep convolutional neural network. Cogn Neurodyn 16:379–389

Article  PubMed  Google Scholar 

Zaib A, Ballal T, Khattak S, Al-Naffouri TY (2021) A doubly regularized linear discriminant analysis classifier with automatic parameter selection. IEEE Access 9:51343

Article  Google Scholar 

Zhang L, Wei Q (2021) Channel selection in motor imaginary-based brain-computer interfaces: a particle swarm optimization algorithm. J Integr Neurosci 18:141–152

Google Scholar