Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lizbeth Peralta-Malváez"'
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:
GeroScience.
Autor:
Luis Oswaldo Valencia-Rosado, Gibran Etcheverry, Roberto Rosas-Romero, Lizbeth Peralta-Malváez, Omar Lopez-Rincon, David Rojas-Velazquez
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3281-3289
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
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030018443
The Individual Alpha Peak Frequency (IAF) is the individual dominant electroencephalogram (EEG) frequency in the range of n to m (n = 8 and m = 12). IAF is related to various cognitive functions such as attention and working memory; and can be affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3886a8fc8ba26ca94389e80df6d4cb9e
https://doi.org/10.1007/978-3-030-01845-0_138
https://doi.org/10.1007/978-3-030-01845-0_138
Publikováno v:
Research in Computing Science. 89:63-70
This paper discusses the potential of brain-computer interfaces (BCI) in the interaction between users and objects in points of interest in a city. We present an initial design of the user experience with BCI, aimed to include users with disabilities
Publikováno v:
CLIHC
This paper presents a platform to support experimentation with applications that enhance user experience in points of interest (POIs) of smart cities by incorporating brain-computer interfaces (BCI). We propose a general architecture for applications