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Javier Escudero
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2020 – today
- 2024
- [j45]Hernan Hernandez, Sandra Baez
, Vicente Medel
, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaría-García, Enzo Tagliazucchi, Pedro A. Valdés-Sosa
, Francisco Lopera, John Fredy Ochoa-Gómez
, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre
, Tuba Aktürk
, Ebru Yildirim
, Renato Anghinah
, Agustina Legaz, Sol Fittipaldi
, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez
, Robert Whelan
, Alberto A Fernández Lucas, Adolfo M. García
, David Huepe, Gaetano Di Caterina
, Marcio Soto-Añari
, Agustina Birba
, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros
, Eduar Herrera
, Daniel Abásolo
, Kerry Kilborn, Nicolás Rubido
, Ruaridh A. Clark
, Rubén Herzog
, Deniz Yerlikaya, Bahar Güntekin
, Mario A. Parra, Pavel Prado
, Agustín Ibáñez
:
Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage 295: 120636 (2024) - [c46]John Stewart Fabila-Carrasco, Avalon Campbell-Cousins, Mario A. Parra-Rodriguez, Javier Escudero:
Graph-Based Permutation Patterns for the Analysis of Task-Related FMRI Signals on DTI Networks in Mild Cognitive Impairment. ICASSP 2024: 2076-2080 - [i16]Hollan Haule, Ian Piper, Patricia Jones, Tsz-Yan Milly Lo, Javier Escudero:
Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals. CoRR abs/2402.17917 (2024) - [i15]John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Graph-Based Multivariate Multiscale Dispersion Entropy: Efficient Implementation and Applications to Real-World Network Data. CoRR abs/2405.00518 (2024) - [i14]Petros Koutsouvelis, Bartlomiej Chybowski, Alfredo Gonzalez-Sulser, Shima Abdullateef, Javier Escudero:
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction. CoRR abs/2407.14876 (2024) - 2023
- [j44]Evangelos Kafantaris
, Tsz-Yan Milly Lo, Javier Escudero
:
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis. IEEE Trans. Biomed. Eng. 70(3): 1024-1035 (2023) - [c45]Melissa C. M. Fasol, Javier Escudero, Alfredo Gonzalez-Sulser:
Single-Channel EEG Artifact Identification with the Spectral Slope. BIBM 2023: 2482-2487 - [c44]John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data. EUSIPCO 2023: 1599-1603 - [i13]Hollan Haule, Ian Piper, Patricia Jones, Chen Qin, Tsz-Yan Milly Lo, Javier Escudero:
VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series. CoRR abs/2312.05959 (2023) - 2022
- [j43]Ali H. Al-Timemy
, Nebras H. Ghaeb, Zahraa M. Mosa, Javier Escudero
:
Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps. Cogn. Comput. 14(5): 1627-1642 (2022) - [j42]John Stewart Fabila-Carrasco
, Chao Tan
, Javier Escudero
:
Permutation Entropy for Graph Signals. IEEE Trans. Signal Inf. Process. over Networks 8: 288-300 (2022) - [c43]Iris L. Soare, Javier Escudero:
Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis. EMBC 2022: 40-43 - [c42]Shima Abdullateef, Brian Jordan, Valerie Rae, Ailsa McLellan, Javier Escudero, Vera Nenadovic, Tsz-Yan Milly Lo:
Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care. EMBC 2022: 259-262 - [c41]Rachel Drage
, Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah
, Amanda Vitória Lacerda De Araújo, Luis F. Basile, Daniel Abásolo:
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. EMBC 2022: 3175-3178 - [c40]John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Multivariate permutation entropy, a Cartesian graph product approach. EUSIPCO 2022: 2081-2085 - [i12]Evangelos Kafantaris, Tsz-Yan Milly Lo, Javier Escudero:
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis. CoRR abs/2202.09298 (2022) - [i11]John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Multivariate permutation entropy, a Cartesian graph product approach. CoRR abs/2203.00550 (2022) - [i10]Hollan Haule, Evangelos Kafantaris, Tsz-Yan Milly Lo, Chen Qin, Javier Escudero:
Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU. CoRR abs/2203.05947 (2022) - 2021
- [j41]Ahmed Ebied
, Eli Kinney-Lang, Javier Escudero
:
Higher order tensor decomposition for proportional myoelectric control based on muscle synergies. Biomed. Signal Process. Control. 67: 102523 (2021) - [j40]Noramon Dron
, María Navarro-Cáceres, Richard F. M. Chin, Javier Escudero:
Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition. Biomed. Signal Process. Control. 70: 102889 (2021) - [j39]Evangelos Kafantaris
, Ian Piper
, Tsz-Yan Milly Lo
, Javier Escudero
:
Assessment of Outliers and Detection of Artifactual Network Segments Using Univariate and Multivariate Dispersion Entropy on Physiological Signals. Entropy 23(2): 244 (2021) - [j38]José Bernal, Maria del C. Valdés Hernández
, Javier Escudero, Anna K. Heye, Eleni Sakka
, Paul A. Armitage, Stephen D. Makin
, Rhian M. Touyz, Joanna M. Wardlaw
, Michael J. Thrippleton
:
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 230: 117786 (2021) - [j37]Francisco E. Cabrera
, Pablo Sánchez-Núñez
, Gustavo F. Vaccaro
, José Ignacio Peláez
, Javier Escudero
:
Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks. Sensors 21(14): 4695 (2021) - [c39]José Bernal
, William Xu
, Maria del C. Valdés Hernández
, Javier Escudero
, Angela C. C. Jochems
, Una Clancy
, Fergus N. Doubal
, Michael S. Stringer
, Michael J. Thrippleton
, Rhian M. Touyz
, Joanna M. Wardlaw
:
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA 2021: 151-164 - [i9]John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Permutation Entropy for Graph Signals. CoRR abs/2110.00628 (2021) - 2020
- [j36]Keith Smith
, Javier Escudero:
Normalised degree variance. Appl. Netw. Sci. 5(1): 32 (2020) - [j35]Evangelos Kafantaris
, Ian Piper
, Tsz-Yan Milly Lo
, Javier Escudero
:
Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring. Entropy 22(3): 319 (2020) - [j34]José Bernal
, Maria del C. Valdés Hernández
, Javier Escudero
, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz
, Joanna M. Wardlaw
:
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 6(6): 43 (2020) - [c38]Noramon Dron
, Richard F. M. Chin, Javier Escudero:
Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy. EUSIPCO 2020: 1145-1149 - [c37]José Bernal
, Maria del C. Valdés Hernández
, Lucia Ballerini
, Javier Escudero
, Angela C. C. Jochems
, Una Clancy
, Fergus N. Doubal
, Michael S. Stringer
, Michael J. Thrippleton
, Rhian M. Touyz
, Joanna M. Wardlaw
:
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. MIUA 2020: 171-183 - [i8]Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero:
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings. CoRR abs/2007.08223 (2020)
2010 – 2019
- 2019
- [j33]Ahmed Ebied
, Eli Kinney-Lang, Loukianos Spyrou, Javier Escudero
:
Muscle Activity Analysis Using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction. IEEE Access 7: 27257-27271 (2019) - [j32]Hamed Azami
, Steven E. Arnold, Saeid Sanei, Zhuoqing Chang, Guillermo Sapiro, Javier Escudero
, Anoopum S. Gupta:
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases. IEEE Access 7: 68718-68733 (2019) - [j31]Hamed Azami
, Peng Li
, Steven E. Arnold, Javier Escudero
, Anne Humeau-Heurtier
:
Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison. IEEE Access 7: 104833-104847 (2019) - [j30]Hamed Azami
, Alberto Fernández, Javier Escudero
:
Multivariate Multiscale Dispersion Entropy of Biomedical Times Series. Entropy 21(9): 913 (2019) - [j29]Antonio José Ibañez-Molina
, Sergio Iglesias-Parro
, Javier Escudero
:
Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity. Int. J. Neural Syst. 29(4): 1850024:1-1850024:17 (2019) - [j28]Keith Smith
, Mark E. Bastin, Simon R. Cox
, Maria del Carmen Valdés Hernández, Stewart Wiseman
, Javier Escudero
, Catherine Sudlow
:
Hierarchical complexity of the adult human structural connectome. NeuroImage 191: 205-215 (2019) - [j27]Chao Tan
, Ying Shen
, Keith Smith
, Feng Dong
, Javier Escudero
:
Gas-Liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic Connectivity of ERT. IEEE Trans. Instrum. Meas. 68(5): 1590-1601 (2019) - [j26]Loukianos Spyrou
, Javier Escudero
:
Weighted Network Estimation by the Use of Topological Graph Metrics. IEEE Trans. Netw. Sci. Eng. 6(3): 576-586 (2019) - [j25]Keith Smith
, Loukianos Spyrou, Javier Escudero
:
Graph-Variate Signal Analysis. IEEE Trans. Signal Process. 67(2): 293-305 (2019) - [c36]Evangelos Kafantaris, Ian Piper, Tsz-Yan Milly Lo
, Javier Escudero
:
Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments. EMBC 2019: 2269-2272 - [c35]Noramon Dron
, Eli Kinney-Lang, Richard F. M. Chin, Javier Escudero
:
Preliminary fusion of EEG and MRI with phenotypic scores in children with epilepsy based on the Canonical Polyadic Decomposition. EMBC 2019: 3884-3887 - [c34]José Bernal
, Maria del C. Valdés Hernández
, Javier Escudero
, Paul A. Armitage
, Stephen D. Makin
, Rhian M. Touyz
, Joanna M. Wardlaw
:
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA 2019: 282-293 - [c33]Ahmed Ebied
, Eli Kinney-Lang, Javier Escudero
:
Consistency of Muscle Synergies Extracted via Higher-Order Tensor Decomposition Towards Myoelectric Control. NER 2019: 315-318 - 2018
- [j24]Andrés Quintero-Zea
, José David López
, Keith Smith
, Natalia Trujillo, Mario A. Parra, Javier Escudero
:
Phenotyping Ex-Combatants From EEG Scalp Connectivity. IEEE Access 6: 55090-55098 (2018) - [j23]Gastón Schlotthauer
, Anne Humeau-Heurtier
, Javier Escudero
, Hugo Leonardo Rufiner
:
Measuring Complexity of Biomedical Signals. Complex. 2018: 5408254:1-5408254:3 (2018) - [j22]Hamed Azami
, Javier Escudero
:
Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy. Entropy 20(2): 138 (2018) - [j21]Hamed Azami
, Javier Escudero
:
Amplitude- and Fluctuation-Based Dispersion Entropy. Entropy 20(3): 210 (2018) - [j20]Noor Kamal Al-Qazzaz
, Sawal Hamid Bin Mohd Ali
, Siti Anom Ahmad, Mohd Shabiul Islam, Javier Escudero
:
Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis. Medical Biol. Eng. Comput. 56(1): 137-157 (2018) - [j19]Ali H. Al-Timemy
, Guido Bugmann, Javier Escudero
:
Adaptive Windowing Framework for Surface Electromyogram-Based Pattern Recognition System for Transradial Amputees. Sensors 18(8): 2402 (2018) - [c32]Christos Chatzichristos, Mike Davies, Javier Escudero
, Eleftherios Kofidis, Sergios Theodoridis:
Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. EUSIPCO 2018: 56-60 - [c31]Eli Kinney-Lang, Ahmed Ebied
, Javier Escudero
:
Building a Tensor Framework for the Analysis and Classification of Steady-State Visual Evoked Potentials in Children. EUSIPCO 2018: 296-300 - [c30]Ying Shen, Chao Tan, Feng Dong
, Keith Smith
, Javier Escudero
:
Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler. I2MTC 2018: 1-6 - [i7]Keith Smith, Javier Escudero:
Normalised Degree Variance. CoRR abs/1803.03057 (2018) - 2017
- [j18]Hamed Azami
, Daniel Abásolo
, Samantha Simons
, Javier Escudero
:
Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease. Entropy 19(1): 31 (2017) - [j17]Hamed Azami, Alberto Fernández, Javier Escudero
:
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Medical Biol. Eng. Comput. 55(11): 2037-2052 (2017) - [j16]Noor Kamal Al-Qazzaz
, Sawal Hamid Bin Mohd Ali
, Siti Anom Ahmad
, Mohd Shabiul Islam, Javier Escudero
:
Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks. Sensors 17(6): 1326 (2017) - [j15]Hamed Azami, Javier Escudero
, Anne Humeau-Heurtier
:
Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures. IEEE Signal Process. Lett. 24(9): 1338-1342 (2017) - [j14]Hamed Azami
, Mostafa Rostaghi
, Daniel E. Abásolo
, Javier Escudero
:
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals. IEEE Trans. Biomed. Eng. 64(12): 2872-2879 (2017) - [c29]Elizabeth Shumbayawonda, Alberto Fernández, Javier Escudero
, Michael Pycraft Hughes, Daniel Abásolo
:
Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study. BIOSIGNALS 2017: 118-125 - [c28]Ahmed Ebied
, Loukianos Spyrou, Eli Kinney-Lang, Javier Escudero
:
On the use of higher-order tensors to model muscle synergies. EMBC 2017: 1792-1795 - [c27]Noor Kamal Al-Qazzaz
, Sawal Hamid Bin Mohd Ali
, Siti Anom Ahmad, Javier Escudero
:
Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition. EMBC 2017: 3174-3177 - [c26]Hamed Azami, Eli Kinney-Lang, Ahmed Ebied
, Alberto Fernández, Javier Escudero
:
Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease. EMBC 2017: 3182-3185 - [c25]Eli Kinney-Lang, Loukianos Spyrou, Ahmed Ebied
, Richard F. M. Chin, Javier Escudero
:
Elucidating age-specific patterns from background electroencephalogram pediatric datasets via PARAFAC. EMBC 2017: 3797-3800 - [c24]Loukianos Spyrou, Javier Escudero
:
Graph regularised tensor factorisation of EEG signals based on network connectivity measures. ICASSP 2017: 944-948 - [i6]Keith Smith, Loukianos Spyrou, Javier Escudero:
A General Theory of Temporal Connectivity. CoRR abs/1703.06687 (2017) - [i5]Loukianos Spyrou, Javier Escudero:
Weighted network estimation by the use of topological graph metrics. CoRR abs/1705.00892 (2017) - [i4]Loukianos Spyrou, Mario A. Parra, Javier Escudero:
Complex tensor factorisation with PARAFAC2 for the estimation of brain connectivity from the EEG. CoRR abs/1705.02019 (2017) - [i3]Hamed Azami, Javier Escudero:
Amplitude- and Frequency-based Dispersion Patterns and Entropy. CoRR abs/1708.01066 (2017) - 2016
- [j13]Hamed Azami, Javier Escudero
:
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings. Biomed. Signal Process. Control. 23: 28-41 (2016) - [j12]Hamed Azami, Javier Escudero
:
Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation. Comput. Methods Programs Biomed. 128: 40-51 (2016) - [c23]Ali Al-Timemy
, Rami N. Khushaba
, Javier Escudero:
Selecting the optimal movement subset with different pattern recognition based EMG control algorithms. EMBC 2016: 315-318 - [c22]Javier Escudero, Keith Smith
, Hamed Azami, Daniel Abásolo
:
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. EMBC 2016: 2810-2813 - [c21]Keith Smith
, Daniel Abásolo
, Javier Escudero:
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. EMBC 2016: 2826-2829 - [c20]Jesus Monge-Alvarez
, Carlos Hoyos-Barcelo
, Paul Lesso, Javier Escudero, Keshav P. Dahal
, Pablo Casaseca-de-la-Higuera
:
Effect of importance sampling on robust segmentation of audio-cough events in noisy environments. EMBC 2016: 3740-3744 - [c19]Hamed Azami, Keith Smith
, Javier Escudero:
MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals. EMBC 2016: 3761-3764 - [c18]Hamed Azami, Mostafa Rostaghi
, Alberto Fernández
, Javier Escudero:
Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease. EMBC 2016: 6417-6420 - [i2]Hamed Azami, Alberto Fernández, Javier Escudero:
Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis. CoRR abs/1602.02847 (2016) - [i1]Hamed Azami, Mostafa Rostaghi, Javier Escudero:
Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity. CoRR abs/1606.01379 (2016) - 2015
- [j11]Maged N. Kamel Boulos
, Emmanuel C. Ifeachor, Javier Escudero
, Peng Zhao, Camille Carroll
, Pedro Costa, Gerhard Doppler, Laura Carrasco Marín, Luiza Spiru, Kristin Helga Guðmundsdótti, Marija Kosem:
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 10(3): 24-41 (2015) - [j10]Noor Kamal Al-Qazzaz
, Sawal Hamid Bin Mohd Ali
, Siti Anom Ahmad
, Mohd Shabiul Islam, Javier Escudero
:
Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task. Sensors 15(11): 29015-29035 (2015) - [c17]Hamed Azami, Javier Escudero:
Combination of signal segmentation approaches using fuzzy decision making. EMBC 2015: 101-104 - [c16]Keith Smith
, Hamed Azami, Javier Escudero, Mario A. Parra, John M. Starr:
Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks. EMBC 2015: 2207-2210 - [c15]Hamed Azami, Javier Escudero:
A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms. EMBC 2015: 2836-2839 - [c14]Keith Smith
, Hamed Azami, Mario A. Parra, John M. Starr, Javier Escudero:
Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis. EMBC 2015: 2840-2843 - [c13]Hamed Azami, Keith Smith
, Alberto Fernández
, Javier Escudero:
Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropies. EMBC 2015: 7422-7425 - [c12]Javier Escudero, Antonio José Ibañez-Molina
, Sergio Iglesias-Parro
:
Effect of the average delay and mean connectivity of the Kuramoto model on the complexity of the output electroencephalograms. EMBC 2015: 7873-7876 - 2014
- [c11]Ali H. Al-Timemy
, Alberto Fernández
, Javier Escudero:
Spectral analysis of resting state magnetoencephalogram activity in patients with bipolar disorder. EMBC 2014: 2197-2200 - [c10]Javier Escudero, Athanasios Anastasiou
, Alberto Fernández
:
Post-processing for spectral coherence of magnetoencephalogram background activity: Application to Alzheimer's disease. EMBC 2014: 6345-6348 - 2013
- [j9]Javier Escudero
, Emmanuel C. Ifeachor, John P. Zajicek, Colin Green, James Shearer
, Stephen Pearson
:
Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease. IEEE Trans. Biomed. Eng. 60(1): 164-168 (2013) - [j8]Ali Al-Timemy
, Guido Bugmann, Javier Escudero
, Nicholas John Outram:
Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography. IEEE J. Biomed. Health Informatics 17(3): 608-618 (2013) - [c9]Ali Al-Timemy
, Guido Bugmann, Javier Escudero
, Nicholas John Outram:
A preliminary investigation of the effect of force variation for myoelectric control of hand prosthesis. EMBC 2013: 5758-5761 - [c8]Ali H. Al-Timemy
, Javier Escudero
, Guido Bugmann, Nicholas John Outram:
Protocol for site selection and movement assessment for the myoelectric control of a multi-functional upper-limb prosthesis. EMBC 2013: 5817-5820 - [c7]Ali Al-Timemy
, Alexandre Brochard, Guido Bugmann, Javier Escudero
:
Development of a Highly Dexterous Robotic Hand with Independent Finger Movements for Amputee Training. TAROS 2013: 291-293 - 2012
- [c6]Ali Al-Timemy
, Guido Bugmann, Nicholas John Outram, Javier Escudero, Hai Li:
Finger Movements Classification for the Dexterous Control of Upper Limb Prosthesis Using EMG Signals. TAROS 2012: 434-435 - 2011
- [c5]Ali H. Al-Timemy
, Guido Bugmann, Nicholas John Outram, Javier Escudero:
Single channel-based myoelectric control of hand movements with Empirical Mode Decomposition. EMBC 2011: 6059-6062 - [c4]Javier Escudero, John P. Zajicek, Emmanuel C. Ifeachor:
Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means. EMBC 2011: 6470-6473 - [c3]Javier Escudero, John P. Zajicek, Emmanuel C. Ifeachor:
Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials. EMBC 2011: 7957-7960
2000 – 2009
- 2008
- [j7]Javier Escudero
, Roberto Hornero
, Jesús Poza
, Daniel E. Abásolo
, Alberto Fernández
:
Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation. Artif. Intell. Medicine 43(1): 75-85 (2008) - [j6]Daniel E. Abásolo
, Javier Escudero
, Roberto Hornero
, Carlos Gómez
, Pedro Espino:
Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients. Medical Biol. Eng. Comput. 46(10): 1019-1028 (2008) - [j5]Roberto Hornero
, Javier Escudero
, Alberto Fernández
, Jesús Poza
, Carlos Gómez
:
Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease. IEEE Trans. Biomed. Eng. 55(6): 1658-1665 (2008) - [j4]Daniel E. Abásolo
, Roberto Hornero
, Javier Escudero
, Pedro Espino:
A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease. IEEE Trans. Biomed. Eng. 55(9): 2171-2179 (2008) - 2007
- [j3]Carlos Gómez
, Roberto Hornero
, Daniel E. Abásolo
, Alberto Fernández
, Javier Escudero
:
Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information. Comput. Methods Programs Biomed. 87(3): 239-247 (2007) - [j2]Javier Escudero
, Roberto Hornero
, Daniel E. Abásolo
, Alberto Fernández
, Miguel López Coronado:
Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis. IEEE Trans. Biomed. Eng. 54(11): 1965-1973 (2007) - 2006
- [j1]Cristina Forn
, Alfonso Barrós-Loscertales
, Javier Escudero, Vicente Belloch, S. Campos, María Antonia Parcet
, César Ávila:
Cortical reorganization during PASAT task in MS patients with preserved working memory functions. NeuroImage 31(2): 686-691 (2006) - [c2]Javier Escudero, Roberto Hornero
, Daniel E. Abásolo
, Jesús Poza
, Alberto Fernández, Miguel López Coronado:
Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis. EMBC 2006: 5282-5285 - [c1]Carlos Gómez
, Roberto Hornero
, Alberto Fernández
, Daniel E. Abásolo
, Javier Escudero, Miguel López Coronado:
Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information. EMBC 2006: 6181-6184
Coauthor Index
aka: Daniel Abásolo
aka: Maria del Carmen Valdés Hernández
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last updated on 2024-08-25 19:14 CEST by the dblp team
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