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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)- [c47]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. ICASSP Workshops 2024: 393-397 - [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
Daniel E. Abásolo
aka: Daniel Abásolo
aka: Daniel Abásolo
Maria del C. Valdés Hernández
aka: Maria del Carmen Valdés Hernández
aka: Maria del Carmen Valdés Hernández
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last updated on 2024-10-07 21:23 CEST by the dblp team
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