2 Preprocessing of EEG
31
57. J.P. Kaipio, P.A. Karjalainen, Simulation of nonstationary EEG. Biol. Cybern. 76, 349–356
(1997)
58. A. Keil, S. Debener, G. Gratton, M. Junghöfer, E.S. Kappenman, S.J. Luck, P. Luu, G.A. Miller,
C.M. Yee, Committee report: publication guidelines and recommendations for studies using
electroencephalography and magnetoencephalography. Psychophysiology 51, 1–21 (2014)
59. J.J. Kierkels, J. Riani, J.W. Bergmans, G.J. Van Boxtel, Using an eye tracker for accurate eye
movement artifact correction. IEEE Trans. Biomed. Eng. 54, 1256–1267 (2007)
60. J.J. Kierkels, G.J. van Boxtel, L.L. Vogten, A model-based objective evaluation of eye movement correction in EEG recordings. IEEE Trans. Biomed. Eng. 53, 246–253 (2006)
61. M.A. Klados, C. Papadelis, C. Braun, P.D. Bamidis, REG-ICA: a hybrid methodology combining blind source separation and regression techniques for the rejection of ocular artifacts.
Biomed. Signal Process. Control 6, 291–300 (2011)
62. A. Klein, W. Skrandies, A reliable statistical method to detect eyeblink-artefacts from electroencephalogram data only. Brain Topogr. 26, 558–568 (2013)
63. W. Klimesch, P. Sauseng, S. Hanslmayr, EEG alpha oscillations: the inhibition–timing hypothesis. Brain Res. Rev. 53, 63–88 (2007)
64. P. Krishnaswamy, G. Bonmassar, C. Poulsen, E.T. Pierce, P.L. Purdon, E.N. Brown, Referencefree removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage 128, 398–412 (2016)
65. D.J. Krusienski, D.J. McFarland, J.C. Principe, BCI signal processing: feature extraction,
in Brain-Computer Interfaces: Principles and Practice, ed. by J.R. Wolpaw, E.W. Wolpaw
(Oxford University Press, Oxford, 2012)
66. A.D. Krystal, R. Prado, M. West, New methods of time series analysis of non-stationary EEG
data: Eigenstructure decompositions of time varying autoregressions. Clin. Neurophysiol.
110, 2197–2206 (1999)
67. T.D. Lagerlund, F.W. Sharbrough, N.E. Busacker, Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition. J. Clin. Neurophysiol. 14, 73–82 (1997)
68. J.-P. Lanquart, M. Dumont, P. Linkowski, QRS artifact elimination on full night sleep EEG.
Med. Eng. Phys. 28, 156–165 (2006)
69. K.Q. Lepage, M.A. Kramer, C.J. Chu, A statistically robust EEG re-referencing procedure to
mitigate reference effect. J. Neurosci. Methods 235, 101–116 (2014)
70. J.P. Lindsen, J. Bhattacharya, Correction of blink artifacts using independent component
analysis and empirical mode decomposition. Psychophysiology 47, 955–960 (2010)
71. G. Lio, P. Boulinguez, Greater robustness of second order statistics than higher order statistics
algorithms to distortions of the mixing matrix in blind source separation of human EEG:
implications for single-subject and group analyses. NeuroImage 67, 137–152 (2013)
72. J. Ma, P. Tao, S. Bayram, V. Svetnik, Muscle artifacts in multichannel EEG: characteristics
and reduction. Clin. Neurophysiol. 123, 1676–1686 (2012)
73. N. Madhu, R. Ranta, L. Maillard, L. Koessler, A unified treatment of the reference estimation
problem in depth EEG recordings. Med. Biol. Eng. Comput. 50, 1003–1015 (2012)
74. N. Mammone, F. La Foresta, F.C. Morabito, Automatic artifact rejection from multichannel
scalp EEG by wavelet ICA. IEEE Sens. J. 12, 533–542 (2012)
75. N. Mammone, F.C. Morabito, Enhanced automatic wavelet independent component analysis
for electroencephalographic artifact removal. Entropy 16, 6553–6572 (2014)
76. B.W. McMenamin, A.J. Shackman, L.L. Greischar, R.J. Davidson, Electromyogenic artifacts
and electroencephalographic inferences revisited. NeuroImage 54, 4–9 (2011)
77. B.W. McMenamin, A.J. Shackman, J.S. Maxwell, D.R. Bachhuber, A.M. Koppenhaver, L.L.
Greischar, R.J. Davidson, Validation of ICA-based myogenic artifact correction for scalp and
source-localized EEG. NeuroImage 49, 2416–2432 (2010)
78. V. Mihajlovi´ c, B. Grundlehner, R. Vullers, J. Penders, Wearable, wireless EEG solutions in
daily life applications: what are we missing? IEEE J. Biomed. Health Inform. 19, 6–21 (2015)
79. B. Mijovic, M. De Vos, I. Gligorijevic, J. Taelman, S. Van Huffel, Source separation from
single-channel recordings by combining empirical-mode decomposition and independent
component analysis. IEEE Trans. Biomed. Eng. 57, 2188–2196 (2010)
31
57. J.P. Kaipio, P.A. Karjalainen, Simulation of nonstationary EEG. Biol. Cybern. 76, 349–356
(1997)
58. A. Keil, S. Debener, G. Gratton, M. Junghöfer, E.S. Kappenman, S.J. Luck, P. Luu, G.A. Miller,
C.M. Yee, Committee report: publication guidelines and recommendations for studies using
electroencephalography and magnetoencephalography. Psychophysiology 51, 1–21 (2014)
59. J.J. Kierkels, J. Riani, J.W. Bergmans, G.J. Van Boxtel, Using an eye tracker for accurate eye
movement artifact correction. IEEE Trans. Biomed. Eng. 54, 1256–1267 (2007)
60. J.J. Kierkels, G.J. van Boxtel, L.L. Vogten, A model-based objective evaluation of eye movement correction in EEG recordings. IEEE Trans. Biomed. Eng. 53, 246–253 (2006)
61. M.A. Klados, C. Papadelis, C. Braun, P.D. Bamidis, REG-ICA: a hybrid methodology combining blind source separation and regression techniques for the rejection of ocular artifacts.
Biomed. Signal Process. Control 6, 291–300 (2011)
62. A. Klein, W. Skrandies, A reliable statistical method to detect eyeblink-artefacts from electroencephalogram data only. Brain Topogr. 26, 558–568 (2013)
63. W. Klimesch, P. Sauseng, S. Hanslmayr, EEG alpha oscillations: the inhibition–timing hypothesis. Brain Res. Rev. 53, 63–88 (2007)
64. P. Krishnaswamy, G. Bonmassar, C. Poulsen, E.T. Pierce, P.L. Purdon, E.N. Brown, Referencefree removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage 128, 398–412 (2016)
65. D.J. Krusienski, D.J. McFarland, J.C. Principe, BCI signal processing: feature extraction,
in Brain-Computer Interfaces: Principles and Practice, ed. by J.R. Wolpaw, E.W. Wolpaw
(Oxford University Press, Oxford, 2012)
66. A.D. Krystal, R. Prado, M. West, New methods of time series analysis of non-stationary EEG
data: Eigenstructure decompositions of time varying autoregressions. Clin. Neurophysiol.
110, 2197–2206 (1999)
67. T.D. Lagerlund, F.W. Sharbrough, N.E. Busacker, Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition. J. Clin. Neurophysiol. 14, 73–82 (1997)
68. J.-P. Lanquart, M. Dumont, P. Linkowski, QRS artifact elimination on full night sleep EEG.
Med. Eng. Phys. 28, 156–165 (2006)
69. K.Q. Lepage, M.A. Kramer, C.J. Chu, A statistically robust EEG re-referencing procedure to
mitigate reference effect. J. Neurosci. Methods 235, 101–116 (2014)
70. J.P. Lindsen, J. Bhattacharya, Correction of blink artifacts using independent component
analysis and empirical mode decomposition. Psychophysiology 47, 955–960 (2010)
71. G. Lio, P. Boulinguez, Greater robustness of second order statistics than higher order statistics
algorithms to distortions of the mixing matrix in blind source separation of human EEG:
implications for single-subject and group analyses. NeuroImage 67, 137–152 (2013)
72. J. Ma, P. Tao, S. Bayram, V. Svetnik, Muscle artifacts in multichannel EEG: characteristics
and reduction. Clin. Neurophysiol. 123, 1676–1686 (2012)
73. N. Madhu, R. Ranta, L. Maillard, L. Koessler, A unified treatment of the reference estimation
problem in depth EEG recordings. Med. Biol. Eng. Comput. 50, 1003–1015 (2012)
74. N. Mammone, F. La Foresta, F.C. Morabito, Automatic artifact rejection from multichannel
scalp EEG by wavelet ICA. IEEE Sens. J. 12, 533–542 (2012)
75. N. Mammone, F.C. Morabito, Enhanced automatic wavelet independent component analysis
for electroencephalographic artifact removal. Entropy 16, 6553–6572 (2014)
76. B.W. McMenamin, A.J. Shackman, L.L. Greischar, R.J. Davidson, Electromyogenic artifacts
and electroencephalographic inferences revisited. NeuroImage 54, 4–9 (2011)
77. B.W. McMenamin, A.J. Shackman, J.S. Maxwell, D.R. Bachhuber, A.M. Koppenhaver, L.L.
Greischar, R.J. Davidson, Validation of ICA-based myogenic artifact correction for scalp and
source-localized EEG. NeuroImage 49, 2416–2432 (2010)
78. V. Mihajlovi´ c, B. Grundlehner, R. Vullers, J. Penders, Wearable, wireless EEG solutions in
daily life applications: what are we missing? IEEE J. Biomed. Health Inform. 19, 6–21 (2015)
79. B. Mijovic, M. De Vos, I. Gligorijevic, J. Taelman, S. Van Huffel, Source separation from
single-channel recordings by combining empirical-mode decomposition and independent
component analysis. IEEE Trans. Biomed. Eng. 57, 2188–2196 (2010)