Zobrazeno 1 - 10
of 524
pro vyhledávání: '"Martínez-Murcia A"'
Autor:
Gorriz, Juan M, Ramirez, J., Segovia, F., Martinez-Murcia, F. J., Jiménez-Mesa, C., Suckling, J.
Regression analysis is a central topic in statistical modeling, aimed at estimating the relationships between a dependent variable, commonly referred to as the response variable, and one or more independent variables, i.e., explanatory variables. Lin
Externí odkaz:
http://arxiv.org/abs/2402.15213
Autor:
Martinez-Murcia, Francisco Jesus, Ortiz, Andrés, Górriz, Juan Manuel, Ramírez, Javier, Lopez-Perez, Pedro Javier, López-Zamora, Miguel, Luque, Juan Luis
Publikováno v:
INT J NEURAL SYST 30 (7), 2020, 2050037
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography
Externí odkaz:
http://arxiv.org/abs/2311.13876
Publikováno v:
INT J NEURAL SYST 28 (10), 2018, 1850035
Spatial and intensity normalization are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are key, they are commonly applied to any type of analysis and imaging modal
Externí odkaz:
http://arxiv.org/abs/2311.12561
Autor:
Heras, E. Delgado de las, Martinez-Murcia, F. J., Illán, I. A., Jiménez-Mesa, C., Castillo-Barnes, D., Ramírez, J., Górriz, J. M.
This work proposes the use of 3D convolutional variational autoencoders (CVAEs) to trace the changes and symptomatology produced by neurodegeneration in Parkinson's disease (PD). In this work, we present a novel approach to detect and quantify change
Externí odkaz:
http://arxiv.org/abs/2305.07038
Autor:
Gallego-Molina, Nicolás J., Ortiz, Andrés, Martínez-Murcia, Francisco J., Formoso, Marco, Giménez, Almudena
Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain's structural and functional organization. Network structure and efficiency reveal different brain states along with differen
Externí odkaz:
http://arxiv.org/abs/2106.14675
Autor:
Gallego-Molina, Nicolás, Formoso, Marco, Ortiz, Andrés, Martínez-Murcia, Francisco J., Luque, Juan L.
Electroencephalography signals allow to explore the functional activity of the brain cortex in a non-invasive way. However, the analysis of these signals is not straightforward due to the presence of different artifacts and the very low signal-to-noi
Externí odkaz:
http://arxiv.org/abs/2104.05991
Autor:
Formoso, Marco A., Ortiz, Andrés, Martínez-Murcia, Francisco J., Gallego-Molina, Nicolás, Luque, Juan L.
Several methods have been developed to extract information from electroencephalograms (EEG). One of them is Phase-Amplitude Coupling (PAC) which is a type of Cross-Frequency Coupling (CFC) method, consisting in measure the synchronization of phase an
Externí odkaz:
http://arxiv.org/abs/2104.05497
Autor:
Arco, Juan E., Ortiz, Andrés, Ramírez, Javier, Martínez-Murcia, Francisco J., Zhang, Yu-Dong, Broncano, Jordi, Berbís, M. Álvaro, Royuela-del-Val, Javier, Luna, Antonio, Górriz, Juan M.
The outbreak of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), there have been more than 100 million confirmed cases of COVID-19, including more than 2.4 million deaths. It is
Externí odkaz:
http://arxiv.org/abs/2103.02961
Autor:
Arco, Juan E., Ortiz, A., Ramirez, J., Martinez-Murcia, F. J., Zhang, Yu-Dong, Gorriz, Juan M.
Respiratory diseases kill million of people each year. Diagnosis of these pathologies is a manual, time-consuming process that has inter and intra-observer variability, delaying diagnosis and treatment. The recent COVID-19 pandemic has demonstrated t
Externí odkaz:
http://arxiv.org/abs/2011.14894
Autor:
Ortiz, Andrés, Martinez-Murcia, Francisco J., Formoso, Marco A., Luque, Juan Luis, Sánchez, Auxiliadora
Publikováno v:
HAIS 2020: Hybrid Artificial Intelligent Systems. LNCS 12344. pp 655-664
Objective dyslexia diagnosis is not a straighforward task since it is traditionally performed by means of the intepretation of different behavioural tests. Moreover, these tests are only applicable to readers. This way, early diagnosis requires the u
Externí odkaz:
http://arxiv.org/abs/2010.13731