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Javier Escudero

Showing results (21-30 of 132) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trialsJavier Escudero, John P Zajicek, Emmanuel Ifeachor, et al.
Journal of Alzheimer'S Disease : JAD|August 14, 2012
Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's diseaseJavier Escudero, Emmanuel Ifeachor, John P Zajicek, et al.
Medical Engineering & Physics|June 2, 2009
Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's diseaseJavier Escudero, Roberto Hornero, Daniel Abásolo, et al.
IEEE Transactions on Bio-Medical Engineering|September 19, 2022
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal AnalysisEvangelos Kafantaris, Tsz-Yan Milly Lo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalogramsJavier Escudero, Antonio Ibanez-Molina, Sergio Iglesias-Parro
Journal of Neuroscience Methods|December 3, 2014
Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision makingHamed Azami, Javier Escudero, Ali Darzi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropiesHamed Azami, Keith Smith, Alberto Fernandez, et al.
IEEE Transactions on Bio-Medical Engineering|March 14, 2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical SignalsHamed Azami, Mostafa Rostaghi, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's diseaseJavier Escudero, Keith Smith, Hamed Azami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's diseaseHamed Azami, Mostafa Rostaghi, Alberto Fernandez, et al.
Pageof 14

Showing results (21-30 of 132) with videos related to

Sort By:
Pageof 14
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trialsJavier Escudero, John P Zajicek, Emmanuel Ifeachor, et al.
Journal of Alzheimer'S Disease : JAD|August 14, 2012
Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's diseaseJavier Escudero, Emmanuel Ifeachor, John P Zajicek, et al.
Medical Engineering & Physics|June 2, 2009
Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's diseaseJavier Escudero, Roberto Hornero, Daniel Abásolo, et al.
IEEE Transactions on Bio-Medical Engineering|September 19, 2022
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal AnalysisEvangelos Kafantaris, Tsz-Yan Milly Lo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalogramsJavier Escudero, Antonio Ibanez-Molina, Sergio Iglesias-Parro
Journal of Neuroscience Methods|December 3, 2014
Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision makingHamed Azami, Javier Escudero, Ali Darzi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropiesHamed Azami, Keith Smith, Alberto Fernandez, et al.
IEEE Transactions on Bio-Medical Engineering|March 14, 2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical SignalsHamed Azami, Mostafa Rostaghi, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's diseaseJavier Escudero, Keith Smith, Hamed Azami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's diseaseHamed Azami, Mostafa Rostaghi, Alberto Fernandez, et al.
Pageof 14