J. Escudero

J. Escudero, D. Abásolo, Keith M. Smith, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Explorer Post-Processing for Spectral Coherence of Magnetoencephalogram Background Activity : Application to Alzheimer ’ s Disease

J. Escudero, Alberto Fernández, Athanasios Anastasiou, 2017 .

Edinburgh Explorer Dispersion Entropy for the Analysis of Resting-state MEG Regularity in Alzheimer’s Disease

H. Azami, J. Escudero, Alberto Fernández, 2016 .

Assessment of perivascular space filtering methods using a three-dimensional computational model.

I. Deary, M. Bastin, J. Escudero, 2022, Magnetic resonance imaging.

Robust Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment and Alzheimer's Disease

Ruaridh A. Clark, A. Ibáñez, J. Escudero, 2022, Frontiers in Neuroimaging.

Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU

J. Escudero, T. Lo, Hollan Haule, 2022, ArXiv.

Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis

J. Escudero, Iris L. Soare, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis

J. Escudero, T. Lo, Evangelos Kafantaris, 2022, IEEE Transactions on Biomedical Engineering.

Classification of Alzheimer ’ s disease from Quadratic Sample Entropy of the EEG

J. Escudero, D. Abásolo, S. Simons, 2015 .

Edinburgh Research Explorer Normalised Degree Variance

J. Escudero, Keith M. Smith, 2020 .

Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care

J. Escudero, T. Lo, A. McLellan, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Electroencephalogram Background Activity Characterization with Approximate Entropy and Auto Mutual Information in Alzheimer's Disease Patients

J. Escudero, D. Abásolo, R. Hornero, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings pdf

Javier Escudero, Rami N. Khushaba, Ali H. Al-Timemy, 2020, Artificial Intelligence for COVID-19.

Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition

Javier Escudero, María Navarro-Cáceres, Noramon Dron, 2021, Biomed. Signal Process. Control..

Tensor decomposition of TMS-induced EEG oscillations reveals data-driven profiles of antiepileptic drug effects

C. Tangwiriyasakul, I. Premoli, L. Spyrou, 2019, Scientific Reports.

Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task

Javier Escudero, Agustín Ibáñez, Alexandra Josefsson, 2019, Healthcare technology letters.

Amplitude- and Fluctuation-Based Dispersion Entropy

Hamed Azami, Javier Escudero, H. Azami, 2018, Entropy.

Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps

Javier Escudero, Ali H. Al-Timemy, Nebras H. Ghaeb, 2021, Cognitive Computation.

Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis

Roberto Hornero, Javier Escudero, Miguel López Coronado, 2007, IEEE Transactions on Biomedical Engineering.

Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis

Miguel López Coronado, J. Poza, R. Hornero, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy

Pierre Vandergheynst, Mario A. Parra, Javier Escudero, 2016, Scientific Reports.

A General Theory of Temporal Connectivity pdf

Javier Escudero, Keith Smith, Loukianos Spyrou, 2017, ArXiv.

The Physiological Underpinnings of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy: Evidence from Healthy Subjects

Pierre Vandergheynst, Mario A. Parra, Agustín Ibáñez, 2016, 1606.02587.

Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees

Guido Bugmann, Ali H. Al-Timemy, Rami N. Khushaba, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

Guido Bugmann, Ali Al-Timemy, Javier Escudero, 2013, IEEE Journal of Biomedical and Health Informatics.

Abnormal brain state distribution and network connectivity in a SYNGAP1 rat model

P. Kind, E. Wood, J. Escudero, 2022, bioRxiv.

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases

Saeid Sanei, Hamed Azami, Javier Escudero, 2019, IEEE Access.

Entropy Analysis of Univariate Biomedical Signals: Review and Comparison of Methods

L. Faes, H. Azami, J. Escudero, 2020 .

Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordings

Roberto Hornero, Daniel Abásolo, Javier Escudero, 2009, Physiological measurement.

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer’s disease patients

Roberto Hornero, Carlos Gómez, Javier Escudero, 2008, Medical & Biological Engineering & Computing.

Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation

Roberto Hornero, Jesús Poza, Javier Escudero, 2008, Artif. Intell. Medicine.

Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity

Antonio José Ibañez-Molina, Sergio Iglesias-Parro, Javier Escudero, 2019, Int. J. Neural Syst..

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease

Daniel Abásolo, Hamed Azami, Javier Escudero, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing

J. Escudero, D. Abásolo, R. Anghinah, 2021, Journal of neural engineering.

Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means

Emmanuel Ifeachor, Javier Escudero, John P. Zajicek, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity pdf

Hamed Azami, Javier Escudero, Mostafa Rostaghi, 2016, ArXiv.

Evaluation of matrix factorisation approaches for muscle synergy extraction.

Loukianos Spyrou, Javier Escudero, Eli Kinney-Lang, 2018, Medical engineering & physics.

Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials

Javier Escudero, Emmanuel C. Ifeachor, John P. Zajicek, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Principal Dynamic Mode Analysis of EEG Data for Assisting the Diagnosis of Alzheimer’s Disease

Dae C. Shin, Emmanuel Ifeachor, Javier Escudero, 2015, IEEE Journal of Translational Engineering in Health and Medicine.

Explorer Principal Dynamic Mode Analysis of EEG Data for Assisting the Diagnosis of Alzheimer ’ s Disease

Dae C. Shin, J. Escudero, V. Marmarelis, 2015 .

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging

Lucia Ballerini, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2020, MIUA.

Complexity Analysis of Spontaneous Brain Activity in Attention-Deficit/Hyperactivity Disorder: Diagnostic Implications

Roberto Hornero, Javier Escudero, Alberto Fernández, 2009, Biological Psychiatry.

Quantitative Evaluation of Artifact Removal in Real Magnetoencephalogram Signals with Blind Source Separation

Roberto Hornero, Daniel Abásolo, Javier Escudero, 2011, Annals of Biomedical Engineering.

A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms

Hamed Azami, Javier Escudero, H. Azami, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel

Alice D. Lam, A. Cichocki, M. Carrillo, 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Optimal EEG Channel Selection for Vascular Dementia Identification Using Improved Binary Gravitation Search Algorithm

Javier Escudero, Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, 2017 .

Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition

Siti Anom Ahmad, Javier Escudero, Noor Kamal Al-Qazzaz, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA–WT during Working Memory Tasks

Siti Anom Ahmad, Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, 2017, Sensors.

Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease

Samantha Simons, Daniel Abásolo, Hamed Azami, 2017, Entropy.

Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis

Siti Anom Ahmad, Javier Escudero, Noor Kamal Al-Qazzaz, 2017, Medical & Biological Engineering & Computing.

EEG markers for early detection and characterization of vascular dementia during working memory tasks

Siti Anom Ahmad, Md. Shabiul Islam, Javier Escudero, 2016, 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease

Hamed Azami, Javier Escudero, Mostafa Rostaghi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.

Roberto Hornero, Daniel Abásolo, Javier Escudero, 2009, Medical engineering & physics.

Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task

Siti Anom Ahmad, Javier Escudero, Noor Kamal Al-Qazzaz, 2015, Sensors.

Multiscale entropy analysis of resting-state magnetoencephalogram with tensor factorisations in Alzheimer's disease

Rasmus Bro, Javier Escudero, Alberto Fernández, 2015, Brain Research Bulletin.

Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogram.

Samantha Simons, Javier Escudero, Daniel Abasolo, 2015, Healthcare technology letters.

Post-processing for spectral coherence of magnetoencephalogram background activity: Application to Alzheimer's disease

Athanasios Anastasiou, Javier Escudero, Alberto Fernández, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Electroencephalogram background activity characterization with Detrended Moving Average in Alzheimer's disease patients

J. Escudero, D. Abásolo, R. Hornero, 2009, 2009 IEEE International Symposium on Intelligent Signal Processing.

Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.

Roberto Hornero, Daniel Abásolo, Javier Escudero, 2009, Medical engineering & physics.

Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease

Roberto Hornero, Daniel Abásolo, Javier Escudero, 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Analysis of spontaneous MEG activity in Alzheimer's disease using time-frequency parameters

Roberto Hornero, Javier Escudero, Alberto Fernandez, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease

Roberto Hornero, Carlos Gómez, Jesús Poza, 2008, IEEE Transactions on Biomedical Engineering.

A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease

Roberto Hornero, Javier Escudero, Daniel E. Abásolo, 2008, IEEE Transactions on Biomedical Engineering.

Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information

Roberto Hornero, Daniel Abásolo, Alberto Fernández, 2007, Comput. Methods Programs Biomed..

Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information

Roberto Hornero, Javier Escudero, Miguel López Coronado, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals

Hamed Azami, Javier Escudero, Mostafa Rostaghi, 2016, IEEE Transactions on Biomedical Engineering.

Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy

Hamed Azami, Javier Escudero, H. Azami, 2018, Entropy.

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series

Hamed Azami, Javier Escudero, Alberto Fernandez, 2017, Entropy.

Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis

Hamed Azami, Javier Escudero, Alberto Fernández, 2016, Medical & Biological Engineering & Computing.

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings

Hamed Azami, Javier Escudero, H. Azami, 2015, Biomed. Signal Process. Control..

Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring

Ian Piper, Javier Escudero, Evangelos Kafantaris, 2020, Entropy.

Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison

Hamed Azami, Anne Humeau-Heurtier, Javier Escudero, 2019, IEEE Access.

Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments

Javier Escudero, Evangelos Kafantaris, Tsz-Yan Milly Lo, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks

José Ignacio Peláez, Javier Escudero, Pablo Sánchez-Núñez, 2021, Sensors.

Cortical reorganization during PASAT task in MS patients with preserved working memory functions

Alfonso Barrós-Loscertales, Vicente Belloch, María Antonia Parcet, 2006, NeuroImage.

Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy

Javier Escudero, Noramon Dron, Richard F.M. Chin, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation

Hamed Azami, Javier Escudero, H. Azami, 2016, Comput. Methods Programs Biomed..

Weighted Network Estimation by the Use of Topological Graph Metrics

Javier Escudero, Loukianos Spyrou, J. Escudero, 2017, IEEE Transactions on Network Science and Engineering.

Graph regularised tensor factorisation of EEG signals based on network connectivity measures

Javier Escudero, Loukianos Spyrou, J. Escudero, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A preliminary investigation of the effect of force variation for myoelectric control of hand prosthesis

Guido Bugmann, Javier Escudero, Ali Al-Timemy, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Phenotyping Ex-Combatants From EEG Scalp Connectivity

Mario A. Parra, Javier Escudero, Andrés Quintero-Zea, 2018, IEEE Access.

Gas–Liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic Connectivity of ERT

Feng Dong, Ying Shen, Javier Escudero, 2019, IEEE Transactions on Instrumentation and Measurement.

Dispersion entropy: A Measure of Irregularity for Graph Signals

J. Escudero, J. S. Fabila-Carrasco, Chao Tan, 2023, 2303.18079.

Analysis of dynamic texture and spatial spectral descriptors of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease.

Joanna M. Wardlaw, Javier Escudero, Paul A. Armitage, 2019, Magnetic resonance imaging.

Normalised degree variance

Javier Escudero, Keith Smith, J. Escudero, 2018, Appl. Netw. Sci..

Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study

Daniel Abásolo, Javier Escudero, Alberto Fernández, 2017, BIOSIGNALS.

Flow rate measurement of oil-gas-water wavy flow through a combined electrical and ultrasonic sensor

J. Escudero, Xuewei Shi, Feng Dong, 2022 .

Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation

Daniel Abásolo, Javier Escudero, Keith Smith, 2016, PloS one.

The Cluster-Span Threshold: network binarisation for information-rich medium density ranges

Javier Escudero, Keith Smith, Daniel Abasalo, 2016 .

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 disease

Daniel Abásolo, Javier Escudero, Keith Smith, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Framework for the Evaluation of the Hierarchical Complexity of Network Topology in EEG Functional Connectivity

Javier Escudero, Keith Smith, J. Escudero, 2016, 1604.01680.

A Framework for the Evaluation of Complete Weighted Network Topology in EEG Functional Connectivity

Javier Escudero, Keith Smith, J. Escudero, 2016 .

Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis

Mario A. Parra, Hamed Azami, Javier Escudero, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks

Mario A. Parra, Hamed Azami, Javier Escudero, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Muscle Activity Analysis Using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction

Loukianos Spyrou, Javier Escudero, Eli Kinney-Lang, 2018, IEEE Access.

Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease

James Shearer, Stephen Pearson, Javier Escudero, 2013, IEEE Transactions on Biomedical Engineering.

Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures

Hamed Azami, Anne Humeau-Heurtier, Javier Escudero, 2017, IEEE Signal Processing Letters.

Complex Tensor Factorization With PARAFAC2 for the Estimation of Brain Connectivity From the EEG

Javier Escudero, Loukianos Spyrou, Mario Parra, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Hierarchical complexity of the adult human structural connectome

Maria del C. Valdés Hernández, Mark E. Bastin, Javier Escudero, 2018, NeuroImage.

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease

Eleni Sakka, Maria del C. Valdés Hernández, Javier Escudero, 2020, J. Imaging.

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Javier Escudero, 2019, MIUA.

Edinburgh Research Explorer Examining the relationship between semiquantitative methods analysing concentration-time and enhancement-time curves from dynamic-contrast enhanced magnetic resonance imaging and cerebrovascular dysfunction in small vessel disease

J. Escudero, J. Wardlaw, R. Touyz, 2020 .

Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease

Hamed Azami, Javier Escudero, Alberto Fernández, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalograms

Antonio José Ibañez-Molina, Sergio Iglesias-Parro, Javier Escudero, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Inspecting temporal scales with non-linear signal features: A way to extract more information from brain activity?

Javier Escudero, J. Escudero, 2015, Clinical Neurophysiology.

Selection of subjects for clinical trials in Alzheimer’s disease and mild cognitive impairment with machine learning analysis of MRI and CSF biomarkers

J. Escudero, E. Ifeachor, J. Zajicek, 2011, Trials.

EEG Wavelet Spectral Analysis During a Working Memory Tasks in Stroke-Related Mild Cognitive Impairment Patients

Siti Anom Ahmad, Javier Escudero, Noor Kamal Al-Qazzaz, 2015 .

Tensor-driven extraction of developmental features from varying paediatric EEG datasets

E Kinney-Lang, L Spyrou, A Ebied, 2017, Journal of neural engineering.

Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions

Sergios Theodoridis, Mike Davies, Javier Escudero, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Protocol for site selection and movement assessment for the myoelectric control of a multi-functional upper-limb prosthesis

Guido Bugmann, Javier Escudero, Nicholas Outram, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An intelligent approach for variable size segmentation of non-stationary signals

Hamid Hassanpour, Saeid Sanei, Javier Escudero, 2014, Journal of advanced research.

Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making

S. Sanei, H. Azami, J. Escudero, 2015, Journal of Neuroscience Methods.

Higher order tensor decomposition for proportional myoelectric control based on muscle synergies

J. Escudero, A. Ebied, E. Kinney-Lang, 2018, Biomed. Signal Process. Control..

Use of muscle synergies extracted via higher-order tensor decomposition for proportional myoelectric control

J. Escudero, A. Ebied, E. Kinney-Lang, 2018 .

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage

J. Escudero, J. Wardlaw, R. Touyz, 2020, NeuroImage.

Amplitude- and Frequency-based Dispersion Patterns and Entropy pdf

Hamed Azami, Javier Escudero, H. Azami, 2017, ArXiv.

Are Erdös- Rényi Random Graphs Topologically Random? pdf

Javier Escudero, Keith Smith, J. Escudero, 2017, ArXiv.

Refined composite multivariate multiscale entropy based on variance for analysis of resting-state magnetoencephalograms in Alzheimer's disease

Hamed Azami, Javier Escudero, Alberto Fernandez, 2016, 2016 International Conference for Students on Applied Engineering (ICSAE).

MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals

Hamed Azami, Javier Escudero, Keith Smith, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation

J. Escudero, D. Abásolo, Keith M. Smith, 2016, PloS one.

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

J. Escudero, D. Abásolo, R. Anghinah, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Tensor-driven extraction of developmental features from varying paediatric EEG datasets

J. Escudero, L. Spyrou, A. Ebied, 2017, Journal of neural engineering.

Measuring Complexity of Biomedical Signals

Anne Humeau-Heurtier, Javier Escudero, Hugo Leonardo Rufiner, 2018, Complex..

Assessment of Outliers and Detection of Artifactual Network Segments Using Univariate and Multivariate Dispersion Entropy on Physiological Signals

Ian Piper, Javier Escudero, Evangelos Kafantaris, 2021, Entropy.

Effect of importance sampling on robust segmentation of audio-cough events in noisy environments

Pablo Casaseca-de-la-Higuera, Paul Lesso, Jesus Monge-Alvarez, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

UWS Academic Portal Effect of importance sampling on robust segmentation of audio-cough events in noisy environments

J. Escudero, K. Dahal, Jesús Monge-Álvarez, 2016 .

On the use of higher-order tensors to model muscle synergies

Javier Escudero, Loukianos Spyrou, Eli Kinney-Lang, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Introducing the Joint EEG-Development Inference (JEDI) Model: A Multi-Way, Data Fusion Approach for Estimating Paediatric Developmental Scores via EEG

J. Escudero, B. Auyeung, A. Ebied, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Elucidating age-specific patterns from background electroencephalogram pediatric datasets via PARAFAC

Javier Escudero, Loukianos Spyrou, Eli Kinney-Lang, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis

Mohd Shabiul Islam, J. Escudero, S. A. Ahmad, 2017, Medical & Biological Engineering & Computing.

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

J. Escudero, D. Abásolo, R. Hornero, 2009, Annals of Biomedical Engineering.

Preliminary fusion of EEG and MRI with phenotypic scores in children with epilepsy based on the Canonical Polyadic Decomposition

Javier Escudero, Eli Kinney-Lang, Noramon Dron, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Graph-Variate Signal Analysis

J. Escudero, Keith M. Smith, Loukianos Spyrou, 2017, IEEE Transactions on Signal Processing.

On the application of the auto mutual information rate of decrease to biomedical signals

Roberto Hornero, Miguel Lopez, Javier Escudero, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.