메뉴 건너뛰기




Volumn 215, Issue 1, 2013, Pages 19-28

Multivariate temporal dictionary learning for EEG

Author keywords

Dictionary learning; EEG; Evoked potentials; Multivariate; Orthogonal matching pursuit; P300; Shift invariance

Indexed keywords

ARTICLE; ATOM; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; HUMAN; LEARNING; PRIORITY JOURNAL; TEMPORAL CORTEX;

EID: 84875332960     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.02.001     Document Type: Article
Times cited : (34)

References (42)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation
    • Aharon M., Elad M., Bruckstein A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 2006, 54:4311-4322.
    • (2006) IEEE Trans Signal Process , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 2
    • 0032031368 scopus 로고    scopus 로고
    • Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks
    • Anderson C., Stolz E., Shamsunder S. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks. IEEE Trans Biomed Eng 1998, 45:277-286.
    • (1998) IEEE Trans Biomed Eng , vol.45 , pp. 277-286
    • Anderson, C.1    Stolz, E.2    Shamsunder, S.3
  • 4
    • 2442716489 scopus 로고    scopus 로고
    • The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials
    • Blankertz B., Müller K.R., Curio G., Vaughan T., Schalk G., Wolpaw J., et al. The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans Biomed Eng 2004, 51:1044-1051.
    • (2004) IEEE Trans Biomed Eng , vol.51 , pp. 1044-1051
    • Blankertz, B.1    Müller, K.R.2    Curio, G.3    Vaughan, T.4    Schalk, G.5    Wolpaw, J.6
  • 6
    • 0024035735 scopus 로고
    • Time-frequency localization operators: a geometric phase space approach
    • Daubechies I. Time-frequency localization operators: a geometric phase space approach. IEEE Trans Inf Theory 1988, 34:605-612.
    • (1988) IEEE Trans Inf Theory , vol.34 , pp. 605-612
    • Daubechies, I.1
  • 7
    • 79955524199 scopus 로고    scopus 로고
    • A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability
    • D'Avanzo C., Schiff S., Amodio P., Sparacino G. A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability. J Neurosci Methods 2011, 198:114-124.
    • (2011) J Neurosci Methods , vol.198 , pp. 114-124
    • D'Avanzo, C.1    Schiff, S.2    Amodio, P.3    Sparacino, G.4
  • 9
    • 0034793481 scopus 로고    scopus 로고
    • A unified time-frequency parametrization of EEGs
    • Durka P., Blinowska K. A unified time-frequency parametrization of EEGs. IEEE Eng Med Biol Mag 2001, 20:47-53.
    • (2001) IEEE Eng Med Biol Mag , vol.20 , pp. 47-53
    • Durka, P.1    Blinowska, K.2
  • 11
    • 0034299822 scopus 로고    scopus 로고
    • Multi-frame compression: theory and design
    • Engan K., Aase S., Husøy J. Multi-frame compression: theory and design. Signal Process 2000, 80:2121-2140.
    • (2000) Signal Process , vol.80 , pp. 2121-2140
    • Engan, K.1    Aase, S.2    Husøy, J.3
  • 12
    • 37849188832 scopus 로고    scopus 로고
    • Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation
    • Engan K., Skretting K., Husøy J. Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. Digit Signal Process 2007, 17:32-49.
    • (2007) Digit Signal Process , vol.17 , pp. 32-49
    • Engan, K.1    Skretting, K.2    Husøy, J.3
  • 14
    • 36549075068 scopus 로고    scopus 로고
    • Topographic matching pursuit of spatio-temporal bioelectromagnetic data
    • Gratkowski M., Haueisen J., Arendt-Nielsen L., Zanow F. Topographic matching pursuit of spatio-temporal bioelectromagnetic data. Prz Elektrotech 2007, 83:138-141.
    • (2007) Prz Elektrotech , vol.83 , pp. 138-141
    • Gratkowski, M.1    Haueisen, J.2    Arendt-Nielsen, L.3    Zanow, F.4
  • 15
    • 1242286059 scopus 로고    scopus 로고
    • Piecewise linear source separation
    • Gribonval R. Piecewise linear source separation. Proc. SPIE 5207 2003, 297-310.
    • (2003) Proc. SPIE 5207 , pp. 297-310
    • Gribonval, R.1
  • 17
    • 0032789531 scopus 로고    scopus 로고
    • Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method
    • JaŚkowski P., Verleger R. Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method. IEEE Trans Biomed Eng 1999, 46:987-993.
    • (1999) IEEE Trans Biomed Eng , vol.46 , pp. 987-993
    • JaŚkowski, P.1    Verleger, R.2
  • 18
    • 79958107057 scopus 로고    scopus 로고
    • Single-trial reconstruction of auditory evoked magnetic fields by means of template matching pursuit
    • Jörn M., Sieluzycki C., Matysiak M., zygierewicz J., Scheich H., Durka P., et al. Single-trial reconstruction of auditory evoked magnetic fields by means of template matching pursuit. J Neurosci Methods 2011, 199:119-128.
    • (2011) J Neurosci Methods , vol.199 , pp. 119-128
    • Jörn, M.1    Sieluzycki, C.2    Matysiak, M.3    zygierewicz, J.4    Scheich, H.5    Durka, P.6
  • 20
    • 0034905359 scopus 로고    scopus 로고
    • Topographic time-frequency decomposition of the EEG
    • Koenig T., Marti-Lopez F., Valdés-Sosa P. Topographic time-frequency decomposition of the EEG. NeuroImage 2001, 14:383-390.
    • (2001) NeuroImage , vol.14 , pp. 383-390
    • Koenig, T.1    Marti-Lopez, F.2    Valdés-Sosa, P.3
  • 21
    • 0031239506 scopus 로고    scopus 로고
    • Modeling and estimation of single evoked brain potential components
    • Lange D., Pratt H., Inbar G. Modeling and estimation of single evoked brain potential components. IEEE Trans Biomed Eng 1997, 44:791-799.
    • (1997) IEEE Trans Biomed Eng , vol.44 , pp. 791-799
    • Lange, D.1    Pratt, H.2    Inbar, G.3
  • 22
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • Lewicki M., Sejnowski T. Learning overcomplete representations. Neural Comput 1998, 12:337-365.
    • (1998) Neural Comput , vol.12 , pp. 337-365
    • Lewicki, M.1    Sejnowski, T.2
  • 23
    • 58149496107 scopus 로고    scopus 로고
    • Single-trial P300 estimation with a spatiotemporal filtering method
    • Li R., Keil A., Principe J. Single-trial P300 estimation with a spatiotemporal filtering method. J Neurosci Methods 2009, 177:488-496.
    • (2009) J Neurosci Methods , vol.177 , pp. 488-496
    • Li, R.1    Keil, A.2    Principe, J.3
  • 24
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • Mairal J., Bach F., Ponce J., Sapiro G. Online learning for matrix factorization and sparse coding. J Mach Learn Res 2010, 11:19-60.
    • (2010) J Mach Learn Res , vol.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 26
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • Mallat S., Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans Signal Process 1993, 41:3397-3415.
    • (1993) IEEE Trans Signal Process , vol.41 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 28
    • 0344945375 scopus 로고    scopus 로고
    • High-resolution fragmentary decomposition - a model-based method of non-stationary electrophysiological signal analysis
    • Melkonian D., Blumenthal T., Meares R. High-resolution fragmentary decomposition - a model-based method of non-stationary electrophysiological signal analysis. J Neurosci Methods 2003, 131:149-159.
    • (2003) J Neurosci Methods , vol.131 , pp. 149-159
    • Melkonian, D.1    Blumenthal, T.2    Meares, R.3
  • 30
    • 84865431870 scopus 로고    scopus 로고
    • Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology
    • Nonclercq A., Foulon M., Verheulpen D., De Cock C., Buzatu M., Mathys P., et al. Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology. J Neurosci Methods 2012, 210:259-265.
    • (2012) J Neurosci Methods , vol.210 , pp. 259-265
    • Nonclercq, A.1    Foulon, M.2    Verheulpen, D.3    De Cock, C.4    Buzatu, M.5    Mathys, P.6
  • 31
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: a strategy employed by V1
    • Olshausen B., Field D. Sparse coding with an overcomplete basis set: a strategy employed by V1. Vision Res 1997, 37:3311-3325.
    • (1997) Vision Res , vol.37 , pp. 3311-3325
    • Olshausen, B.1    Field, D.2
  • 32
    • 0029329216 scopus 로고
    • Segmentation of brain electrical activity into microstates: model estimation and validation
    • Pascual-Marqui R., Michel C., Lehmann D. Segmentation of brain electrical activity into microstates: model estimation and validation. IEEE Trans Biomed Eng 1995, 42:658-665.
    • (1995) IEEE Trans Biomed Eng , vol.42 , pp. 658-665
    • Pascual-Marqui, R.1    Michel, C.2    Lehmann, D.3
  • 35
    • 70349581831 scopus 로고    scopus 로고
    • XDAWN algorithm to enhance evoked potentials: application to brain-computer interface
    • Rivet B., Souloumiac A., Attina V., Gibert G. xDAWN algorithm to enhance evoked potentials: application to brain-computer interface. IEEE Trans Biomed Eng 2009, 56:2035-2043.
    • (2009) IEEE Trans Biomed Eng , vol.56 , pp. 2035-2043
    • Rivet, B.1    Souloumiac, A.2    Attina, V.3    Gibert, G.4
  • 38
    • 79958102622 scopus 로고    scopus 로고
    • Multivariate matching pursuit in the analysis of single-trial latency of the auditory M100 acquired with MEG
    • Sieluzycki C., KuŚ R., Matysiak A., Durka P., König R. Multivariate matching pursuit in the analysis of single-trial latency of the auditory M100 acquired with MEG. Int J Bioelectromagn 2009, 155-160.
    • (2009) Int J Bioelectromagn , pp. 155-160
    • Sieluzycki, C.1    KuŚ, R.2    Matysiak, A.3    Durka, P.4    König, R.5
  • 41
    • 84055214103 scopus 로고    scopus 로고
    • Learning event-related potentials (ERPs) from multichannel EEG recordings: a spatio-temporal modeling framework with a fast estimation algorithm
    • Wu W., Gao S. Learning event-related potentials (ERPs) from multichannel EEG recordings: a spatio-temporal modeling framework with a fast estimation algorithm. Int. Conf. IEEE EMBS 2011, 6959-6962.
    • (2011) Int. Conf. IEEE EMBS , pp. 6959-6962
    • Wu, W.1    Gao, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.