Jorge Mateo Satos

According to our database, Jorge Mateo Satos authored at least 19 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Accurate neural network classification model for schizophrenia disease based on electroencephalogram data.

Miguel Ángel Luján, Jorge Mateo Sotos, José L. Santos, Alejandro L. Borja

Int. J. Mach. Learn. Cybern., March, 2023

2022

A Machine Learning-Based Method to Identify Bipolar Disorder Patients.

Jorge Mateo Sotos, A. M. Torres, J. L. Santos, Oscar Quevedo-Teruel, C. Basar

Circuits Syst. Signal Process., 2022

2017

Performance analysis of narrowband beamforming using fully and partial adaptive beamformers with a spherical array.

A. M. Torres, J. Mateo, L. M. Vicente

Multidimens. Syst. Signal Process., 2017

Implementation of Phase Mode Beamforming Using Two Proposed Spherical Arrays.

A. M. Torres, Jorge Mateo Satos, L. M. Vicente

Circuits Syst. Signal Process., 2017

2016

Noise removal in electroencephalogram signals using an artificial neural network based on the simultaneous perturbation method.

J. Mateo, A. M. Torres, María A. García, J. L. Santos

Neural Comput. Appl., 2016

Room Acoustics Analysis Using Circular Arrays: A Comparison Between Plane-Wave Decomposition and Modal Beamforming Approaches.

Ana M. Torres, J. Mateo, Maximo Cobos

Circuits Syst. Signal Process., 2016

An Adaptive Radial Basis Function Neural Network Filter for Noise Reduction in Biomedical Recordings.

Jorge Mateo Satos, A. M. Torres, Eva V. Sánchez-Morla, J. L. Santos

Circuits Syst. Signal Process., 2016

An efficient method for ECG beat classification and correction of ectopic beats.

J. Mateo, Ana M. Torres, Ana Aparicio, José L. Santos

Comput. Electr. Eng., 2016

2015

Cancellation of Powerline Interference from Biomedical Signals Using an Improved Affine Projection Algorithm.

A. M. Torres, J. Mateo, María A. García, J. L. Santos

Circuits Syst. Signal Process., 2015

A new method for removal of powerline interference in ECG and EEG recordings.

Jorge Mateo Satos, Eva M. Sánchez-Morla, J. L. Santos

Comput. Electr. Eng., 2015

2014

Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings.

J. Mateo, A. M. Torres, María A. García

Neural Process. Lett., 2014

2013

Eye interference reduction in electroencephalogram recordings using a radial basic function.

Jorge Mateo Satos, Ana M. Torres, María A. García

IET Signal Process., 2013

Robust Volterra Filter Design for Enhancement of Electroencephalogram Signal Processing.

J. Mateo, A. M. Torres, María A. García, César Sánchez, Raquel Cervigón

Circuits Syst. Signal Process., 2013

A method for removing noise from continuous brain signal recordings.

J. Mateo, A. M. Torres, C. Soria, J. L. Santos

Comput. Electr. Eng., 2013

Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation.

Jorge Mateo Satos, José Joaquín Rieta

Comput. Biol. Medicine, 2013

2011

EEG Noise Cancellation based on Neural Network.

J. Mateo, A. M. Torres, C. Soria, María A. García, César Sánchez

Proceedings of the NCTA 2011, 2011

An efficient method for ectopic beats cancellation based on radial basis function.

Jorge Mateo Satos, Ana M. Torres, José Joaquín Rieta

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008

Anesthesia with propofol slows atrial fibrillation dominant frequencies.

Raquel Cervigón, Javier Moreno, Francisco Castells, J. Mateo, César Sánchez, Julián Pérez-Villacastín, José Millet

Comput. Biol. Medicine, 2008

2007

A Learning Based Widrow-Hoff Delta Algorithm for Noise Reduction in Biomedical Signals.

Jorge Mateo Sotos, César Sánchez, Carlos Vayá, Raquel Cervigón Abad, José Joaquín Rieta

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007