Javier Escudero
Orcid: 0000-0002-2105-8725
According to our database1,
Javier Escudero
authored at least 97 papers
between 2006 and 2024.
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Bibliography
2024
Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals.
CoRR, 2024
2023
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis.
IEEE Trans. Biomed. Eng., March, 2023
VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series.
CoRR, 2023
Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data.
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Signal Inf. Process. over Networks, 2022
Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU.
CoRR, 2022
Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps.
Cogn. Comput., 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks.
Sensors, 2021
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage, 2021
Assessment of Outliers and Detection of Artifactual Network Segments Using Univariate and Multivariate Dispersion Entropy on Physiological Signals.
Entropy, 2021
Higher order tensor decomposition for proportional myoelectric control based on muscle synergies.
Biomed. Signal Process. Control., 2021
Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition.
Biomed. Signal Process. Control., 2021
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
2020
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. Imaging, 2020
Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring.
Entropy, 2020
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings.
CoRR, 2020
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.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Netw. Sci. Eng., 2019
Gas-Liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic Connectivity of ERT.
IEEE Trans. Instrum. Meas., 2019
Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity.
Int. J. Neural Syst., 2019
Muscle Activity Analysis Using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction.
IEEE Access, 2019
Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison.
IEEE Access, 2019
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases.
IEEE Access, 2019
Consistency of Muscle Synergies Extracted via Higher-Order Tensor Decomposition Towards Myoelectric Control.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Preliminary fusion of EEG and MRI with phenotypic scores in children with epilepsy based on the Canonical Polyadic Decomposition.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Adaptive Windowing Framework for Surface Electromyogram-Based Pattern Recognition System for Transradial Amputees.
Sensors, 2018
Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis.
Medical Biol. Eng. Comput., 2018
Entropy, 2018
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
Building a Tensor Framework for the Analysis and Classification of Steady-State Visual Evoked Potentials in Children.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals.
IEEE Trans. Biomed. Eng., 2017
Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures.
IEEE Signal Process. Lett., 2017
Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks.
Sensors, 2017
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis.
Medical Biol. Eng. Comput., 2017
Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease.
Entropy, 2017
Complex tensor factorisation with PARAFAC2 for the estimation of brain connectivity from the EEG.
CoRR, 2017
Graph regularised tensor factorisation of EEG signals based on network connectivity measures.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Elucidating age-specific patterns from background electroencephalogram pediatric datasets via PARAFAC.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
CoRR, 2016
Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation.
Comput. Methods Programs Biomed., 2016
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings.
Biomed. Signal Process. Control., 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.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Effect of importance sampling on robust segmentation of audio-cough events in noisy environments.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Selecting the optimal movement subset with different pattern recognition based EMG control algorithms.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task.
Sensors, 2015
LiveWell - Promoting Healthy Living and Wellbeing for Parkinson Patients through Social Network and ICT Training: Lessons Learnt and Best Practices.
Int. J. Heal. Inf. Syst. Informatics, 2015
Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalograms.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Post-processing for spectral coherence of magnetoencephalogram background activity: Application to Alzheimer's disease.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Spectral analysis of resting state magnetoencephalogram activity in patients with bipolar disorder.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography.
IEEE J. Biomed. Health Informatics, 2013
Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2013
Development of a Highly Dexterous Robotic Hand with Independent Finger Movements for Amputee Training.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
Protocol for site selection and movement assessment for the myoelectric control of a multi-functional upper-limb prosthesis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
A preliminary investigation of the effect of force variation for myoelectric control of hand prosthesis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Finger Movements Classification for the Dexterous Control of Upper Limb Prosthesis Using EMG Signals.
Proceedings of the Advances in Autonomous Robotics, 2012
2011
Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Single channel-based myoelectric control of hand movements with Empirical Mode Decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2008
Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2008
A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2008
Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.
Medical Biol. Eng. Comput., 2008
Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation.
Artif. Intell. Medicine, 2008
2007
Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2007
Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.
Comput. Methods Programs Biomed., 2007
2006
Cortical reorganization during PASAT task in MS patients with preserved working memory functions.
NeuroImage, 2006
Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006