Simona De Salvo

According to our database, Simona De Salvo authored at least 12 papers between 2014 and 2020.

Collaborative distances:

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

2020

Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals.

Nadia Mammone, Simona De Salvo, Silvia Marino, Lilla Bonanno, Cosimo Ieracitano, Serena Dattola, Fabio La Foresta, Francesco Carlo Morabito

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Effect of Sensor Density on eLORETA Source Localization Accuracy.

Serena Dattola, Fabio La Foresta, Lilla Bonanno, Simona De Salvo, Nadia Mammone, Silvia Marino, Francesco Carlo Morabito

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

2019

Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects.

Nadia Mammone, Simona De Salvo, Lilla Bonanno, Cosimo Ieracitano, Silvia Marino, Angela Marra, Alessia Bramanti, Francesco Carlo Morabito

IEEE Trans. Ind. Informatics, 2019

2018

Compressibility of High-Density EEG Signals in Stroke Patients.

Nadia Mammone, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Emanuele Cartella, Alessia Bramanti, Roberto Giorgianni, Francesco Carlo Morabito

Sensors, 2018

Combining EEG signal processing with supervised methods for Alzheimer's patients classification.

Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti, Maria Cristina De Cola

BMC Medical Informatics Decis. Mak., 2018

2017

Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients.

Nadia Mammone, Lilla Bonanno, Simona De Salvo, Silvia Marino, Placido Bramanti, Alessia Bramanti, Francesco Carlo Morabito

Int. J. Neural Syst., 2017

A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity.

Nadia Mammone, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Angela Marra, Francesco Corallo, Francesco Carlo Morabito

Entropy, 2017

eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease.

Serena Dattola, Giuseppina Inuso, Nadia Mammone, Lilla Bonanno, Simona De Salvo, Francesco Carlo Morabito, Fabio La Foresta

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2016

Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings.

Francesco Carlo Morabito, Maurizio Campolo, Cosimo Ieracitano, Mohammad Javad Ebadi, Lilla Bonanno, Alessia Bramanti, Simona De Salvo, Nadia Mammone, Placido Bramanti

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease.

Nadia Mammone, Lilla Bonanno, Simona De Salvo, Alessia Bramanti, Placido Bramanti, Hojjat Adeli, Cosimo Ieracitano, Maurizio Campolo, Francesco Carlo Morabito

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach.

Francesco Carlo Morabito, Maurizio Campolo, Domenico Labate, Giuseppe Morabito, Lilla Bonanno, Alessia Bramanti, Simona De Salvo, Angela Marra, Placido Bramanti

Int. J. Neural Syst., 2015

2014

Alzheimer's disease patients classification through EEG signals processing.

Giulia Fiscon, Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Placido Bramanti, Maria Cristina De Cola

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014