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Javier Escudero

Showing results (11-20 of 132) with videos related to

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Physiological Measurement|January 17, 2009
Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordingsJavier Escudero, Roberto Hornero, Daniel Abásolo
Healthcare Technology Letters|November 27, 2015
Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogramSamantha Simons, Daniel Abasolo, Javier Escudero
Plos One|October 21, 2017
Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisationKeith Smith, Daniel Abásolo, Javier Escudero
Medical Engineering & Physics|September 14, 2010
Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activityJavier Escudero, Roberto Hornero, Daniel Abásolo
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
A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's diseaseKeith Smith, Daniel Abasolo, Javier Escudero
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
MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signalsHamed Azami, Keith Smith, Javier Escudero
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 4, 2018
Complex Tensor Factorization With PARAFAC2 for the Estimation of Brain Connectivity From the EEGLoukianos Spyrou, Mario Parra, Javier Escudero
Medical & Biological Engineering & Computing|May 3, 2017
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysisHamed Azami, Alberto Fernández, 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 9, 2015
Post-processing for spectral coherence of magnetoencephalogram background activity: application to Alzheimer's diseaseJavier Escudero, Athanasios Anastasiou, Alberto Fernández
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
Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-meansJavier Escudero, John P Zajicek, Emmanuel Ifeachor
Pageof 14

Showing results (11-20 of 132) with videos related to

Sort By:
Pageof 14
Physiological Measurement|January 17, 2009
Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordingsJavier Escudero, Roberto Hornero, Daniel Abásolo
Healthcare Technology Letters|November 27, 2015
Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogramSamantha Simons, Daniel Abasolo, Javier Escudero
Plos One|October 21, 2017
Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisationKeith Smith, Daniel Abásolo, Javier Escudero
Medical Engineering & Physics|September 14, 2010
Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activityJavier Escudero, Roberto Hornero, Daniel Abásolo
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
A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's diseaseKeith Smith, Daniel Abasolo, Javier Escudero
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
MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signalsHamed Azami, Keith Smith, Javier Escudero
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 4, 2018
Complex Tensor Factorization With PARAFAC2 for the Estimation of Brain Connectivity From the EEGLoukianos Spyrou, Mario Parra, Javier Escudero
Medical & Biological Engineering & Computing|May 3, 2017
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysisHamed Azami, Alberto Fernández, 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 9, 2015
Post-processing for spectral coherence of magnetoencephalogram background activity: application to Alzheimer's diseaseJavier Escudero, Athanasios Anastasiou, Alberto Fernández
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
Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-meansJavier Escudero, John P Zajicek, Emmanuel Ifeachor
Pageof 14