Signal and Communications Theory and Tel
Department
SAUL JOSE
RUIZ GOMEZ
Researcher in the period 2017-2021
Publications by the researcher in collaboration with SAUL JOSE RUIZ GOMEZ (18)
2022
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Characterization of the spontaneous eeg activity in the alzheimer's disease continuum: from local activation to network organization
Characterization of the spontaneous eeg activity in the alzheimer's disease continuum: from local activation to network organization
2021
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A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer's disease continuum
Journal of Neural Engineering, Vol. 18, Núm. 2
2020
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Genome-wide scan for five brain oscillatory phenotypes identifies a new qtl associated with theta eeg band
Brain Sciences, Vol. 10, Núm. 11, pp. 1-22
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Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum
Frontiers in Computational Neuroscience, Vol. 14
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Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2019
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Analysis of Spontaneous EEG Activity in Alzheimer’s Disease Patients by Means of Multiscale Spectral Entropy
Biosystems and Biorobotics (Springer International Publishing), pp. 579-583
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Analysis of Volume Conduction Effects on Different Functional Connectivity Metrics: Application to Alzheimer's Disease EEG Signals
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Analysis of information flux in alzheimer’s disease and mild cognitive impairment by means of graph-theory parameters
Biosystems and Biorobotics (Springer International Publishing), pp. 569-573
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Characterization of EEG Resting-state Activity in Alzheimer's Disease by Means of Recurrence Plot Analyses
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Characterizing non-stationarity in alzheimer’s disease and mild cognitive impairment by means of kullback-leibler divergence
Biosystems and Biorobotics (Springer International Publishing), pp. 574-578
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Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum
Journal of Neural Engineering, Vol. 16, Núm. 6
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Modelado computacional de la conducción de volumen en el EEG. Caracterización del deterioro cognitivoleve y su progresión a la enfermedad de Alzheimer
Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019
2018
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Alterations of effective connectivity patterns in mild cognitive impairment: An MEG Study
Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 843-854
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Analysis of electroencephalographic dynamic functional connectivity in Alzheimer’s disease
IFMBE Proceedings
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Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment Using Phase Slope Index
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Automated multiclass classification of spontaneous EEG activity in Alzheimer's disease and mild cognitive impairment
Entropy, Vol. 20, Núm. 1
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Measuring alterations of spontaneous EEG neural coupling in alzheimer's disease and mild cognitive impairment by means of cross-entropy metrics
Frontiers in Neuroinformatics, Vol. 12
2017
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Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's disease
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS