124 related articles for article (PubMed ID: 33690185)
21. Identification of Neuromuscular Causal Relationship Between Brain and Muscles in Limb Movement by Using Ensemble Empirical Mode Decomposition based Causal Decomposition.
Zhang Y; Yao D; Tie Y; Wang Y; Zhang X; Cui Y; Hao J; Wu X; Su S; Xu P
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2667-2670. PubMed ID: 31946444
[TBL] [Abstract][Full Text] [Related]
22. Mode decomposition-based time-varying phase synchronization for fMRI.
Honari H; Lindquist MA
Neuroimage; 2022 Nov; 261():119519. PubMed ID: 35905810
[TBL] [Abstract][Full Text] [Related]
23. [A Feature Extraction Method for Brain Computer Interface Based on Multivariate Empirical Mode Decomposition].
Wang J; Liu Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Apr; 32(2):451-4, 464. PubMed ID: 26211270
[TBL] [Abstract][Full Text] [Related]
24. EEG classification in a single-trial basis for vowel speech perception using multivariate empirical mode decomposition.
Kim J; Lee SK; Lee B
J Neural Eng; 2014 Jun; 11(3):036010. PubMed ID: 24809722
[TBL] [Abstract][Full Text] [Related]
25. A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.
Chen YF; Atal K; Xie SQ; Liu Q
J Neural Eng; 2017 Aug; 14(4):046028. PubMed ID: 28357991
[TBL] [Abstract][Full Text] [Related]
26. Fetal heart rate extraction from abdominal electrocardiograms through multivariate empirical mode decomposition.
Gupta P; Sharma KK; Joshi SD
Comput Biol Med; 2016 Jan; 68():121-36. PubMed ID: 26649764
[TBL] [Abstract][Full Text] [Related]
27. Detectability of Granger causality for subsampled continuous-time neurophysiological processes.
Barnett L; Seth AK
J Neurosci Methods; 2017 Jan; 275():93-121. PubMed ID: 27826091
[TBL] [Abstract][Full Text] [Related]
28. EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition.
Al-Subari K; Al-Baddai S; Tomé AM; Goldhacker M; Faltermeier R; Lang EW
J Neurosci Methods; 2015 Sep; 253():193-205. PubMed ID: 26162614
[TBL] [Abstract][Full Text] [Related]
29. A method for decomposing multivariate time series into a causal hierarchy within specific frequency bands.
Drover JD; Schiff ND
J Comput Neurosci; 2018 Oct; 45(2):59-82. PubMed ID: 30062615
[TBL] [Abstract][Full Text] [Related]
30. Multiscale causal connectivity analysis by canonical correlation: theory and application to epileptic brain.
Wu GR; Chen F; Kang D; Zhang X; Marinazzo D; Chen H
IEEE Trans Biomed Eng; 2011 Nov; 58(11):3088-96. PubMed ID: 21788178
[TBL] [Abstract][Full Text] [Related]
31. Granger causality with signal-dependent noise.
Luo Q; Ge T; Feng J
Neuroimage; 2011 Aug; 57(4):1422-9. PubMed ID: 21645623
[TBL] [Abstract][Full Text] [Related]
32. NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI.
Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
Med Eng Phys; 2015 Mar; 37(3):280-6. PubMed ID: 25640806
[TBL] [Abstract][Full Text] [Related]
33. A nonlinear generalization of spectral Granger causality.
He F; Wei HL; Billings SA; Sarrigiannis PG
IEEE Trans Biomed Eng; 2014 Jun; 61(6):1693-701. PubMed ID: 24845279
[TBL] [Abstract][Full Text] [Related]
34. Algorithms of causal inference for the analysis of effective connectivity among brain regions.
Chicharro D; Panzeri S
Front Neuroinform; 2014; 8():64. PubMed ID: 25071541
[TBL] [Abstract][Full Text] [Related]
35. Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach.
Duggento A; Valenza G; Passamonti L; Guerrisi M; Barbieri R; Toschi N
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():5477-5480. PubMed ID: 28269497
[TBL] [Abstract][Full Text] [Related]
36. The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
Wang G; Teng C; Li K; Zhang Z; Yan X
IEEE J Biomed Health Inform; 2016 Sep; 20(5):1301-8. PubMed ID: 26126290
[TBL] [Abstract][Full Text] [Related]
37. Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability.
Faes L; Porta A; Nollo G
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1789-92. PubMed ID: 26736626
[TBL] [Abstract][Full Text] [Related]
38. Watershed runoff modeling through a multi-time scale approach by multivariate empirical mode decomposition (MEMD).
Zhang H; Liu L; Jiao W; Li K; Wang L; Liu Q
Environ Sci Pollut Res Int; 2022 Jan; 29(2):2819-2829. PubMed ID: 34378134
[TBL] [Abstract][Full Text] [Related]
39. Myoelectric pattern identification of stroke survivors using multivariate empirical mode decomposition.
Zhang X; Zhou P
J Healthc Eng; 2014; 5(3):261-73. PubMed ID: 25193367
[TBL] [Abstract][Full Text] [Related]
40. Data driven filtering of bowel sounds using multivariate empirical mode decomposition.
Kölle K; Aftab MF; Andersson LE; Fougner AL; Stavdahl Ø
Biomed Eng Online; 2019 Mar; 18(1):28. PubMed ID: 30894187
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
