Search Results for author: Andrés Ortiz

Found 9 papers, 0 papers with code

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

no code implementations23 Nov 2023 Francisco Jesus Martinez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Perez, Miguel López-Zamora, Juan Luis Luque

The purpose of this work is to check whether these differences exist and how they are related to children's performance in different language and cognitive tasks commonly used to detect dyslexia.

Denoising EEG +1

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

no code implementations21 Nov 2023 Francisco J. Martinez-Murcia, Juan M. Górriz, Javier Ramírez, Andrés Ortiz

The results show that a sufficiently complex model such as our three-dimensional version of the ALEXNET can effectively account for spatial differences, achieving a diagnosis accuracy of 94. 1% with an area under the ROC curve of 0. 984.

Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis

no code implementations28 Jun 2021 Nicolás J. Gallego-Molina, Andrés Ortiz, Francisco J. Martínez-Murcia, Marco Formoso, Almudena Giménez

This coupling is inferred from the Phase-Amplitude coupling (PAC) from different EEG electrodes to explore differences between controls and dyslexic subjects.

EEG

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

no code implementations28 Jun 2021 Juan E. Arco, Andrés Ortiz, Javier Ramírez, Juan M Gorriz

In this work, we propose a classification framework based on sparse coding in order to identify the pneumonia patterns associated with different pathologies.

COVID-19 Diagnosis

Temporal EigenPAC for dyslexia diagnosis

no code implementations13 Apr 2021 Nicolás Gallego-Molina, Marco Formoso, Andrés Ortiz, Francisco J. Martínez-Murcia, Juan L. Luque

Electroencephalography signals allow to explore the functional activity of the brain cortex in a non-invasive way.

EEG

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

no code implementations12 Apr 2021 Marco A. Formoso, Andrés Ortiz, Francisco J. Martínez-Murcia, Nicolás Gallego-Molina, Juan L. Luque

The connectivity information is then treated as a graph in which the different nodes are the electrodes and the edges PAC values between them.

EEG Graph Embedding

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