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Items: 1 to 20 of 38

1.

Detection of Movement Related Cortical Potentials from EEG Using Constrained ICA for Brain-Computer Interface Applications.

Karimi F, Kofman J, Mrachacz-Kersting N, Farina D, Jiang N.

Front Neurosci. 2017 Jun 30;11:356. doi: 10.3389/fnins.2017.00356. eCollection 2017.

2.

Transformation of Cortex-wide Emergent Properties during Motor Learning.

Makino H, Ren C, Liu H, Kim AN, Kondapaneni N, Liu X, Kuzum D, Komiyama T.

Neuron. 2017 May 17;94(4):880-890.e8. doi: 10.1016/j.neuron.2017.04.015.

PMID:
28521138
3.

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms.

Xie J, Douglas PK, Wu YN, Brody AL, Anderson AE.

J Neurosci Methods. 2017 Apr 15;282:81-94. doi: 10.1016/j.jneumeth.2017.03.008. Epub 2017 Mar 18.

PMID:
28322859
4.

Inverting Monotonic Nonlinearities by Entropy Maximization.

Solé-Casals J, López-de-Ipiña Pena K, Caiafa CF.

PLoS One. 2016 Oct 25;11(10):e0165288. doi: 10.1371/journal.pone.0165288. eCollection 2016.

5.
6.

Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging.

Lee S, Shen H, Truong Y, Lewis M, Huang X.

J Am Stat Assoc. 2011;106(495):1009-1024. Epub 2012 Jan 24.

7.

Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients.

Donati AR, Shokur S, Morya E, Campos DS, Moioli RC, Gitti CM, Augusto PB, Tripodi S, Pires CG, Pereira GA, Brasil FL, Gallo S, Lin AA, Takigami AK, Aratanha MA, Joshi S, Bleuler H, Cheng G, Rudolph A, Nicolelis MA.

Sci Rep. 2016 Aug 11;6:30383. doi: 10.1038/srep30383.

8.

Performance Analysis of ICA in Sensor Array.

Cai X, Wang X, Huang Z, Wang F.

Sensors (Basel). 2016 May 5;16(5). pii: E637. doi: 10.3390/s16050637.

9.

A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data.

Li S, Chen S, Yue C, Caffo B.

Front Neurosci. 2016 Jan 29;10:15. doi: 10.3389/fnins.2016.00015. eCollection 2016.

10.

Measurement of heart rate variability using off-the-shelf smart phones.

Huang RY, Dung LR.

Biomed Eng Online. 2016 Jan 29;15:11. doi: 10.1186/s12938-016-0127-8.

11.

Dynamic heart rate measurements from video sequences.

Yu YP, Raveendran P, Lim CL.

Biomed Opt Express. 2015 Jun 12;6(7):2466-80. doi: 10.1364/BOE.6.002466. eCollection 2015 Jul 1.

12.

Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.

Sotiras A, Resnick SM, Davatzikos C.

Neuroimage. 2015 Mar;108:1-16. doi: 10.1016/j.neuroimage.2014.11.045. Epub 2014 Dec 12.

13.

A novel algorithm for independent component analysis with reference and methods for its applications.

Mi JX.

PLoS One. 2014 May 14;9(5):e93984. doi: 10.1371/journal.pone.0093984. eCollection 2014.

14.

A review of multivariate analyses in imaging genetics.

Liu J, Calhoun VD.

Front Neuroinform. 2014 Mar 26;8:29. doi: 10.3389/fninf.2014.00029. eCollection 2014. Review.

15.

The effect of action experience on sensorimotor EEG rhythms during action observation.

Quandt LC, Marshall PJ.

Neuropsychologia. 2014 Apr;56:401-8. doi: 10.1016/j.neuropsychologia.2014.02.015. Epub 2014 Feb 22.

16.

Remote measurements of heart and respiration rates for telemedicine.

Zhao F, Li M, Qian Y, Tsien JZ.

PLoS One. 2013 Oct 8;8(10):e71384. doi: 10.1371/journal.pone.0071384. eCollection 2013.

17.

Independent component analysis for brain FMRI does indeed select for maximal independence.

Calhoun VD, Potluru VK, Phlypo R, Silva RF, Pearlmutter BA, Caprihan A, Plis SM, Adalı T.

PLoS One. 2013 Aug 29;8(8):e73309. doi: 10.1371/journal.pone.0073309. eCollection 2013. Erratum in: PLoS One. 2013;8(10). doi:10.1371/annotation/52c7b854-2d52-4b49-9f9f-6560830f9428.

18.

Evolution of electroencephalogram signal analysis techniques during anesthesia.

Al-Kadi MI, Reaz MB, Ali MA.

Sensors (Basel). 2013 May 17;13(5):6605-35. doi: 10.3390/s130506605. Review.

19.

Study on a real-time BEAM system for diagnosis assistance based on a system on chips design.

Sung WT, Chen JH, Chang KW.

Sensors (Basel). 2013 May 16;13(5):6552-77. doi: 10.3390/s130506552.

20.

Electrically evoked compound action potential artifact rejection by independent component analysis: technique validation.

Akhoun I, McKay CM, El-Deredy W.

Hear Res. 2013 Aug;302:60-73. doi: 10.1016/j.heares.2013.04.005. Epub 2013 Apr 28.

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