Úbeda A - Search Results

1

Central nervous system modulates the neuromechanical delay in a broad range for the control of muscle force.

Del Vecchio A, Úbeda A, Sartori M, Azorín JM, Felici F, Farina D. Del Vecchio A, et al. Among authors: ubeda a. J Appl Physiol (1985). 2018 Nov 1;125(5):1404-1410. doi: 10.1152/japplphysiol.00135.2018. Epub 2018 Jul 5. J Appl Physiol (1985). 2018. PMID: 29975604 Free article.

2

Multimodal human-machine interface based on a brain-computer interface and an electrooculography interface.

Iáñez E, Ùbeda A, Azorín JM. Iáñez E, et al. Among authors: ubeda a. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4572-5. doi: 10.1109/IEMBS.2011.6091132. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255355

3

Mental tasks classification for BCI using image correlation.

Úbeda A, Iáñez E, Azorin JM. Úbeda A, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6303-6. doi: 10.1109/IEMBS.2011.6091555. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255779

4

Endogenous brain-machine interface based on the correlation of EEG maps.

Ubeda A, Iáñez E, Azorín JM, Perez-Vidal C. Ubeda A, et al. Comput Methods Programs Biomed. 2013 Nov;112(2):302-8. doi: 10.1016/j.cmpb.2013.01.012. Epub 2013 Feb 28. Comput Methods Programs Biomed. 2013. PMID: 23453295

5

Control of a 2 DoF robot using a brain-machine interface.

Hortal E, Ubeda A, Iáñez E, Azorín JM. Hortal E, et al. Among authors: ubeda a. Comput Methods Programs Biomed. 2014 Sep;116(2):169-76. doi: 10.1016/j.cmpb.2014.02.018. Epub 2014 Mar 12. Comput Methods Programs Biomed. 2014. PMID: 24694722

6

Evaluating classifiers to detect arm movement intention from EEG signals.

Planelles D, Hortal E, Costa A, Ubeda A, Iáez E, Azorín JM. Planelles D, et al. Among authors: ubeda a. Sensors (Basel). 2014 Sep 29;14(10):18172-86. doi: 10.3390/s141018172. Sensors (Basel). 2014. PMID: 25268915 Free PMC article.

7

Assessing movement factors in upper limb kinematics decoding from EEG signals.

Úbeda A, Hortal E, Iáñez E, Perez-Vidal C, Azorín JM. Úbeda A, et al. PLoS One. 2015 May 28;10(5):e0128456. doi: 10.1371/journal.pone.0128456. eCollection 2015. PLoS One. 2015. PMID: 26020525 Free PMC article. Clinical Trial.

8

Analyzing EEG signals to detect unexpected obstacles during walking.

Salazar-Varas R, Costa Á, Iáñez E, Úbeda A, Hortal E, Azorín JM. Salazar-Varas R, et al. Among authors: ubeda a. J Neuroeng Rehabil. 2015 Nov 14;12:101. doi: 10.1186/s12984-015-0095-4. J Neuroeng Rehabil. 2015. PMID: 26577345 Free PMC article.

9

Characterization of Artifacts Produced by Gel Displacement on Non-invasive Brain-Machine Interfaces during Ambulation.

Costa Á, Salazar-Varas R, Úbeda A, Azorín JM. Costa Á, et al. Among authors: ubeda a. Front Neurosci. 2016 Feb 25;10:60. doi: 10.3389/fnins.2016.00060. eCollection 2016. Front Neurosci. 2016. PMID: 26941601 Free PMC article.

10

Decoding the Attentional Demands of Gait through EEG Gamma Band Features.

Costa Á, Iáñez E, Úbeda A, Hortal E, Del-Ama AJ, Gil-Agudo Á, Azorín JM. Costa Á, et al. Among authors: ubeda a. PLoS One. 2016 Apr 26;11(4):e0154136. doi: 10.1371/journal.pone.0154136. eCollection 2016. PLoS One. 2016. PMID: 27115740 Free PMC article.

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