-
1
-
-
83355174119
-
Brain-computer interface in stroke: A review of progress
-
S. Silvoni, A. Ramos-Murguialday, M. Cavinato, C. Volpato, G. Cisotto, A. Turolla, F. Piccione, and N. Birbaumer, "Brain-computer interface in stroke: a review of progress", Clinical EEG and Neuroscience, vol. 42, no. 4, pp. 245-252, 2011.
-
(2011)
Clinical EEG and Neuroscience
, vol.42
, Issue.4
, pp. 245-252
-
-
Silvoni, S.1
Ramos-Murguialday, A.2
Cavinato, M.3
Volpato, C.4
Cisotto, G.5
Turolla, A.6
Piccione, F.7
Birbaumer, N.8
-
2
-
-
78650012978
-
Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: A feasibility study
-
G. Prasad, P. Herman, D. Coyle, S. McDonough, and J. Crosbie, "Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study", Journal of neuroengineering and rehabilitation, vol. 7, no. 1, 2010.
-
(2010)
Journal of Neuroengineering and Rehabilitation
, vol.7
, Issue.1
-
-
Prasad, G.1
Herman, P.2
Coyle, D.3
McDonough, S.4
Crosbie, J.5
-
3
-
-
84873080033
-
Biomarkers and predictors of restorative therapy effects after stroke
-
E. Burke and S. Cramer, "Biomarkers and predictors of restorative therapy effects after stroke", Current neuro. and neurosc. reports, vol. 13, no. 2, pp. 1-10, 2013.
-
(2013)
Current Neuro. and Neurosc. Reports
, vol.13
, Issue.2
, pp. 1-10
-
-
Burke, E.1
Cramer, S.2
-
4
-
-
84940062762
-
Connectivity measures are robust biomarkers of cortical function and plasticity after stroke
-
J. Wu, E. B. Quinlan, L. Dodakian, A. McKenzie, N. Kathuria, R. J. Zhou, R. Augsburger, J. See, V. H. Le, R. Srinivasan, and S. C. Cramer, "Connectivity measures are robust biomarkers of cortical function and plasticity after stroke", Brain, vol. 138, pp. 2359-2369, 2015.
-
(2015)
Brain
, vol.138
, pp. 2359-2369
-
-
Wu, J.1
Quinlan, E.B.2
Dodakian, L.3
McKenzie, A.4
Kathuria, N.5
Zhou, R.J.6
Augsburger, R.7
See, J.8
Le, V.H.9
Srinivasan, R.10
Cramer, S.C.11
-
5
-
-
80055043903
-
Assessing directed interactions from neurophysiological signals-an overview
-
K. Lehnertz, "Assessing directed interactions from neurophysiological signals-an overview", Physiol. Meas., vol. 32, pp. 1715-1724, 2011.
-
(2011)
Physiol. Meas.
, vol.32
, pp. 1715-1724
-
-
Lehnertz, K.1
-
6
-
-
84862289308
-
Measuring connectivity in linear multivariate processes: Definitions, interpretation, and practical analysis
-
L. Faes, S. Erla, and G. Nollo, "Measuring connectivity in linear multivariate processes: Definitions, interpretation, and practical analysis", Comput. Math. Methods in Med., vol. 2012, pp. 1-18, 2012.
-
(2012)
Comput. Math. Methods in Med.
, vol.2012
, pp. 1-18
-
-
Faes, L.1
Erla, S.2
Nollo, G.3
-
7
-
-
84862264754
-
Dataset shift detection in non-stationary environments using ewma charts
-
A. Omidvarnia, M. Mesbah, M. Khlif, J. O'Toole, P. Colditz, and B. Boashash, "Dataset shift detection in non-stationary environments using ewma charts", in Proc. of the Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC), 2011, pp. 1423-1426.
-
(2011)
Proc. of the Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC)
, pp. 1423-1426
-
-
Omidvarnia, A.1
Mesbah, M.2
Khlif, M.3
O'Toole, J.4
Colditz, P.5
Boashash, B.6
-
8
-
-
85007149977
-
Comparison analysis: Granger causality and new causality and their applications to motor imagery
-
S. Hu, H. Wang, J. Zhang, W. Kong, Y. Cao, and R. Kozma, "Comparison analysis: granger causality and new causality and their applications to motor imagery", IEEE Trans. on Neural Networks and Learning Systems, vol. 99, pp. 1-16, 2015.
-
(2015)
IEEE Trans. on Neural Networks and Learning Systems
, vol.99
, pp. 1-16
-
-
Hu, S.1
Wang, H.2
Zhang, J.3
Kong, W.4
Cao, Y.5
Kozma, R.6
-
9
-
-
39749120932
-
Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators
-
L. Astolfi, F. Cincotti, D. Mattia, F. De Vico Fallani, A. Tocci, A. Colosimo, S. Salinari, M. Marciani, W. Hesse, H. Witte, and M. Ursino, "Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators", IEEE Trans. on Biomedical Engineering, vol. 33, no. 3, pp. 902-913, 2008.
-
(2008)
IEEE Trans. on Biomedical Engineering
, vol.33
, Issue.3
, pp. 902-913
-
-
Astolfi, L.1
Cincotti, F.2
Mattia, D.3
De Vico Fallani, F.4
Tocci, A.5
Colosimo, A.6
Salinari, S.7
Marciani, M.8
Hesse, W.9
Witte, H.10
Ursino, M.11
-
10
-
-
0000351727
-
Investigating causal relations by econometric models and cross-spectral methods
-
C. W. J. Granger, "Investigating causal relations by econometric models and cross-spectral methods", Econometrica, vol. 37, pp. 424-438, 1969.
-
(1969)
Econometrica
, vol.37
, pp. 424-438
-
-
Granger, C.W.J.1
-
11
-
-
79957512282
-
Exploring granger causality between global average observed time series of carbon dioxide and temperature
-
E. Kodra, S. Chatterjee, and A. Ganguly, "Exploring granger causality between global average observed time series of carbon dioxide and temperature", Theoretical and applied climatology, vol. 104, no. 3-4, pp. 325-335, 2011.
-
(2011)
Theoretical and Applied Climatology
, vol.104
, Issue.3-4
, pp. 325-335
-
-
Kodra, E.1
Chatterjee, S.2
Ganguly, A.3
-
12
-
-
84890563647
-
Anthropogenic and natural causes of climate change
-
D. Stern and R. Kaufmann, "Anthropogenic and natural causes of climate change", Climatic change, vol. 122, pp. 257-269, 2014.
-
(2014)
Climatic Change
, vol.122
, pp. 257-269
-
-
Stern, D.1
Kaufmann, R.2
-
14
-
-
84908415722
-
The causality between China's fiscal expenditure on science and technology and industrial structure rationalization: An empirical study
-
F. De-cheng, L. Yun, and L. Hao, "The causality between china's fiscal expenditure on science and technology and industrial structure rationalization: An empirical study", in Proc. of the IEEE Conf. on Management Science & Engineering (ICMSE), 2014, pp. 780-785.
-
(2014)
Proc. of the IEEE Conf. on Management Science & Engineering (ICMSE)
, pp. 780-785
-
-
De-Cheng, F.1
Yun, L.2
Hao, L.3
-
15
-
-
85032613215
-
A copula-based granger causality measure for the analysis of neural spike train data
-
S. E. Lakhan, A. Kirchgessner, and M. Hofer, "A copula-based granger causality measure for the analysis of neural spike train data", IEEE/ACM Trans. on Computational Biology and Bioinformatics, vol. PP, pp. 1-9, 2015.
-
(2015)
IEEE/ACM Trans. on Computational Biology and Bioinformatics
, vol.PP
, pp. 1-9
-
-
Lakhan, S.E.1
Kirchgessner, A.2
Hofer, M.3
-
16
-
-
84864267619
-
Mapping information flow of independent source to predict conscious level: A granger causality based brain-computer interface
-
C. Chuang, C. Huang, C. Lin, L. Ko, J. Chang, and J. Yang, "Mapping information flow of independent source to predict conscious level: a granger causality based brain-computer interface", in Proc. of the IEEE Symp. on Computer, Consumer and Control (IS3C), 2012, pp. 813-816.
-
(2012)
Proc. of the IEEE Symp. on Computer, Consumer and Control (IS3C)
, pp. 813-816
-
-
Chuang, C.1
Huang, C.2
Lin, C.3
Ko, L.4
Chang, J.5
Yang, J.6
-
17
-
-
79959871131
-
Review of the methods of determination of directed connectivity from multichannel data
-
K. J. Blinowska, "Review of the methods of determination of directed connectivity from multichannel data", Medical and Biological Engineering and Computing, vol. 49, pp. 521-529, 2011.
-
(2011)
Medical and Biological Engineering and Computing
, vol.49
, pp. 521-529
-
-
Blinowska, K.J.1
-
18
-
-
84857955003
-
Does partial granger causality really eliminate the influence of exogenous inputs and latent variables?
-
B. Roelstraete and Y. Rosseel, "Does partial granger causality really eliminate the influence of exogenous inputs and latent variables?" J. Neurosci. Methods, vol. 206, pp. 73-77, 2012.
-
(2012)
J. Neurosci. Methods
, vol.206
, pp. 73-77
-
-
Roelstraete, B.1
Rosseel, Y.2
-
19
-
-
84950949120
-
Measures of conditional linear dependence and feedback between time series
-
J. F. Geweke, "Measures of conditional linear dependence and feedback between time series", J. of the American Statistical Association, vol. 79, pp. 907-915, 1984.
-
(1984)
J. of the American Statistical Association
, vol.79
, pp. 907-915
-
-
Geweke, J.F.1
-
20
-
-
44449088854
-
Partial granger causality eliminating exogenous inputs and latent variables
-
S. Guo, A. K. Seth, K. M. Kendrick, and al., "Partial granger causality eliminating exogenous inputs and latent variables", J. Neurosci. Methods, vol. 172, no. 79-93, 2008.
-
(2008)
J. Neurosci. Methods
, vol.172
, Issue.79-93
-
-
Guo, S.1
Seth, A.K.2
Kendrick, K.M.3
-
21
-
-
84953837503
-
Temporal information of directed causal connectivity in multi-trial ERP data using partial granger causality
-
V. Youssofzadeh, G. Prasad, M. Naeem, and K. Wong-Lin, "Temporal information of directed causal connectivity in multi-trial ERP data using partial granger causality", Neuroinformatics, vol. 14, no. 1, pp. 99-120, 2016.
-
(2016)
Neuroinformatics
, vol.14
, Issue.1
, pp. 99-120
-
-
Youssofzadeh, V.1
Prasad, G.2
Naeem, M.3
Wong-Lin, K.4
-
22
-
-
84929493202
-
Directed neural connectivity changes in robot-assisted gait training: A partial granger causality analysis
-
V. Youssofzadeh, D. Zanotto, P. Stegall, M. Naeem, K. Wong-Lin, S. K. Agrawal, and G. Prasad, "Directed neural connectivity changes in robot-assisted gait training: A partial granger causality analysis", in Proc. of the Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC), 2014, pp. 6361-6364.
-
(2014)
Proc. of the Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC)
, pp. 6361-6364
-
-
Youssofzadeh, V.1
Zanotto, D.2
Stegall, P.3
Naeem, M.4
Wong-Lin, K.5
Agrawal, S.K.6
Prasad, G.7
-
23
-
-
33745123380
-
Tutorial on multivariate autoregressive modelling
-
H. Hytti, R. Takalo, and H. Ihalainen, "Tutorial on multivariate autoregressive modelling", J. Clin. Monit. Comput., vol. 20, pp. 101-108, 2006.
-
(2006)
J. Clin. Monit. Comput.
, vol.20
, pp. 101-108
-
-
Hytti, H.1
Takalo, R.2
Ihalainen, H.3
-
24
-
-
84857805414
-
Review of the bci competition IV
-
Jan.
-
M. Tangermann, K. R. Muller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. J. Miller, G. R. Muller Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlogl, C. Vidaurre, S. Waldert, and B. Blankertz, "Review of the bci competition iv", Front. Neurosci., vol. 6, p. 55, Jan. 2012.
-
(2012)
Front. Neurosci.
, vol.6
, pp. 55
-
-
Tangermann, M.1
Muller, K.R.2
Aertsen, A.3
Birbaumer, N.4
Braun, C.5
Brunner, C.6
Leeb, R.7
Mehring, C.8
Miller, K.J.9
Muller Putz, G.R.10
Nolte, G.11
Pfurtscheller, G.12
Preissl, H.13
Schalk, G.14
Schlogl, A.15
Vidaurre, C.16
Waldert, S.17
Blankertz, B.18
-
25
-
-
0034220863
-
Short-window spectral analysis of cortical event related potentials by adaptive multivariate autoregressive modeling: Data preprocessing, model validation, and variability assessment
-
M. Ding, S. L. Bressler, W. Yang, and H. Liang, "Short-window spectral analysis of cortical event related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment", Biological Cybernetics, vol. 83, pp. 35-45, 2000.
-
(2000)
Biological Cybernetics
, vol.83
, pp. 35-45
-
-
Ding, M.1
Bressler, S.L.2
Yang, W.3
Liang, H.4
-
26
-
-
0017956898
-
Recursive multichannel maximum entropy spectral estimation
-
L. D.
-
M. Morf, A. Vieira, and E. A. Lee, L. D., "Recursive multichannel maximum entropy spectral estimation", IEEE Trans. on Geoscience Electronics, vol. 16, pp. 85-94, 1978.
-
(1978)
IEEE Trans. on Geoscience Electronics
, vol.16
, pp. 85-94
-
-
Morf, M.1
Vieira, A.2
Lee, E.A.3
-
27
-
-
0016355478
-
A new look at the statistical model identification
-
H. Akaike, "A new look at the statistical model identification", IEEE Trans. on Automatic Control, vol. 19, pp. 716-723, 1974.
-
(1974)
IEEE Trans. on Automatic Control
, vol.19
, pp. 716-723
-
-
Akaike, H.1
-
28
-
-
85007177660
-
Estimating the dimension of a model
-
G. Schwarz, "Estimating the dimension of a model", Annals of Statistics, vol. 6, pp. 461-464, 1978.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
29
-
-
30244459245
-
Testing for serial correlation in least squares regression II
-
J. Durbin and G. S. Watson, "Testing for serial correlation in least squares regression ii", Biometrika, vol. 38, pp. 159-178, 1951.
-
(1951)
Biometrika
, vol.38
, pp. 159-178
-
-
Durbin, J.1
Watson, G.S.2
-
30
-
-
74149089224
-
A MATLAB toolbox for granger causal connectivity analysis
-
A. K. Seth, "A MATLAB toolbox for granger causal connectivity analysis", J. Neurosci. Methods, vol. 186, no. 2, pp. 262-273, 2010.
-
(2010)
J. Neurosci. Methods
, vol.186
, Issue.2
, pp. 262-273
-
-
Seth, A.K.1
-
31
-
-
84933512271
-
Brain effective connectivity during motor-imagery and execution following stroke and rehabilitation
-
S. Bajaj, A. Butler, D. Drake, and M. Dhamala, "Brain effective connectivity during motor-imagery and execution following stroke and rehabilitation", NeuroImage, vol. 8, pp. 572-582, 2015.
-
(2015)
NeuroImage
, vol.8
, pp. 572-582
-
-
Bajaj, S.1
Butler, A.2
Drake, D.3
Dhamala, M.4
-
32
-
-
84892870641
-
Motor execution and motor imagery: A comparison of functional connectivity patterns based on graph theory
-
L. Xu, H. Zhang, M. Hui, Z. Long, Z. Jin, Y. Liu, and L. Yao, "Motor execution and motor imagery: a comparison of functional connectivity patterns based on graph theory", Neuroscience, vol. 261, pp. 184-194, 2014.
-
(2014)
Neuroscience
, vol.261
, pp. 184-194
-
-
Xu, L.1
Zhang, H.2
Hui, M.3
Long, Z.4
Jin, Z.5
Liu, Y.6
Yao, L.7
-
33
-
-
84940366627
-
Functional connectivity analysis of motor imagery EEG signal for brain-computer interfacing application
-
P. Ghosh, A. Mazumder, S. Bhattacharyya, D. Tibarewala, and M. Hayashibe, "Functional connectivity analysis of motor imagery eeg signal for brain-computer interfacing application", in Proc. of the Int. Conf. of the IEEE on Neural Engineering (NER), 2015, pp. 210-213.
-
(2015)
Proc. of the Int. Conf. of the IEEE on Neural Engineering (NER)
, pp. 210-213
-
-
Ghosh, P.1
Mazumder, A.2
Bhattacharyya, S.3
Tibarewala, D.4
Hayashibe, M.5
|