Renato Anghinah

According to our database, Renato Anghinah authored at least 11 papers between 2010 and 2024.

Collaborative distances:

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

2024

Brain health in diverse settings: How age, demographics and cognition shape brain function.

Hernan Hernandez, Sandra Baez, Vicente Medel, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaría-García, Enzo Tagliazucchi, Pedro A. Valdés-Sosa, Francisco Lopera, John Fredy Ochoa-Gómez, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yildirim, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros, Eduar Herrera, Daniel Abásolo, Kerry Kilborn, Nicolás Rubido, Ruaridh A. Clark, Rubén Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustín Ibáñez

NeuroImage, 2024

2022

A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.

Rachel Drage, Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah, Amanda Vitória Lacerda De Araújo, Luis F. Basile, Daniel Abásolo

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2019

Improvement in the automatic classification of Alzheimer's disease using EEG after feature selection.

Guilherme Tavares, Rodrigo San-Martin, Jéssica N. Ianof, Renato Anghinah, Francisco J. Fraga

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2017

Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices.

Raymundo Cassani, Tiago H. Falk, Francisco J. Fraga, Marco Cecchi, Dennis K. Moore, Renato Anghinah

Biomed. Signal Process. Control., 2017

2015

Paraconsistent Neurocomputing and Biological Signals Analysis.

Jair Minoro Abe, Helder Frederico da Silva Lopes, Renato Anghinah

Proceedings of the Paraconsistent Intelligent-Based Systems, 2015

2014

Correction: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease.

Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah

EURASIP J. Adv. Signal Process., 2014

2013

Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features.

Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer F. Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease.

Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah

EURASIP J. Adv. Signal Process., 2012

2011

Paraconsistent artificial neural networks and EEG analysis.

Jair Minoro Abe, Helder Frederico da Silva Lopes, Renato Anghinah

Int. J. Reason. based Intell. Syst., 2011

EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease.

Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena

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

2010

Application of Paraconsistent Artificial Neural Networks as a Method of Aid in the Diagnosis of Alzheimer Disease.

Helder Frederico da Silva Lopes, Jair Minoro Abe, Renato Anghinah

J. Medical Syst., 2010