Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Rocio Salazar-Varas"'
Publikováno v:
Brain Sciences, Vol 10, Iss 11, p 853 (2020)
We propose a method based on the ensemble Kalman filter (EnKF) together with quantitative electroencephalogram (QEEG) coherence and power spectrum analysis for evaluating changes in brain activity associated with cognitive processes. Such analysis fr
Externí odkaz:
https://doaj.org/article/672dcfe771fb4f358d4badad3182fd45
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2019 (2019)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
In the development of a brain-computer interface (BCI), some issues should be regarded in order to improve its reliability and performance. Perhaps, one of the most challenging issues is related to the high variability of the brain signals, which dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e8368d115172766d4c75a11373024f
https://doi.org/10.1155/2019/9174307
https://doi.org/10.1155/2019/9174307
Autor:
D. Farias-Castro, Rocio Salazar-Varas
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030608866
MICAI (2)
MICAI (2)
In the field of people authentication, the use of biometric identifiers has attracted the interest of the research community. In this sense, the brain activity pattern is an interesting candidate, since each individual has shown to possess a particul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03544007972871d8e7548c6ed9017707
https://doi.org/10.1007/978-3-030-60887-3_34
https://doi.org/10.1007/978-3-030-60887-3_34
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 10:776-783
In this paper, we propose a statistical selection procedure by which various mental tasks can be characterized by specific brain functional connectivity. Different connectivity patterns are identified by the partial directed coherence (PDC) which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7baf315dc379404f2ad0c01d4f725ebe
https://doi.org/10.1109/tcds.2017.2777180
https://doi.org/10.1109/tcds.2017.2777180
Publikováno v:
Applied Soft Computing. 67:232-244
Since the emergence of brain computer interface (BCI), several methods have been applied to associate an electroencephalographic (EEG) recording with a specific mental task. Particularly, in the classification stage, several techniques such as linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed5ef05d24c5d4e3995ca4d1eed4a714
https://doi.org/10.1016/j.asoc.2018.02.054
https://doi.org/10.1016/j.asoc.2018.02.054
Publikováno v:
Brain Sciences
Volume 10
Issue 11
Brain Sciences, Vol 10, Iss 853, p 853 (2020)
Volume 10
Issue 11
Brain Sciences, Vol 10, Iss 853, p 853 (2020)
We propose a method based on the ensemble Kalman filter (EnKF) together with quantitative electroencephalogram (QEEG) coherence and power spectrum analysis for evaluating changes in brain activity associated with cognitive processes. Such analysis fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659d53fec606139f59562147744e4e0e
https://doi.org/10.3390/brainsci10110853
https://doi.org/10.3390/brainsci10110853
Publikováno v:
SSCI
The development of Brain Computer Interfaces (BCI) has attracted the attention of several research groups for solving different kind of problems in the field of medicine, device control, gaming, etc. However, there are several challenges that must be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e73b102d4dddac8855b87af7d9300f
https://doi.org/10.1109/ssci.2018.8628837
https://doi.org/10.1109/ssci.2018.8628837
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030028398
MICAI (2)
MICAI (2)
Several computational techniques have been proposed in the last years to classify brain signals in order to increase the performance of Brain-Computer Interfaces. However, there are several issues that should be attended to be more friendly with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d873e36729f220ac9ba182e40df498
https://doi.org/10.1007/978-3-030-02840-4_26
https://doi.org/10.1007/978-3-030-02840-4_26
Autor:
David Gutiérrez, Rocio Salazar-Varas
Publikováno v:
Biomedical Signal Processing and Control. 18:11-18
We propose a method to use electroencephalographic (EEG) coherences as features in a brain–computer interface (BCI). The coherence provides a sense of the brain's connectivity, and it is relevant as different regions of the brain must communicate b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66cafc3811a764a006b89fd8fc553170
https://doi.org/10.1016/j.bspc.2014.11.001
https://doi.org/10.1016/j.bspc.2014.11.001
Publikováno v:
SSCI
The classification of the brain signals is an issue which has been highly explored to be applied on different fields such as medical diagnostic or in the technological development as can be the Brain-Computer Interfaces (BCI). In order to obtain more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54add0fddea83b48835d256fc15f651e
https://doi.org/10.1109/ssci.2017.8285230
https://doi.org/10.1109/ssci.2017.8285230