Javier Escudero Rodriguez

Search results

• Danger to science of no-deal Brexit

  Pinto da Costa, M., Allegra, A., Escudero, J. & Makowska, K., 1 Aug 2019, In: Nature. 572, 7769, p. 312

  Research output: Contribution to journal › Article

• Deep Learning of Resting-state Electroencephalogram Signals for 3-class Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Healthy Ageing

  Huggins, C. J., Escudero, J., Parra, M. A., Scally, B., Anghinah, R., Lacerda de Araújo, A. V., Basile, L. F. & Abasolo, D., 27 May 2021, (E-pub ahead of print) In: Journal of Neural Engineering.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Cognitive Aging 100%
  • Deep Learning 99%
  • Healthy Aging 90%
  • Electroencephalography 69%
  • Deep learning 64%

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

  Al-Timemy, A. H., Ghaeb, N. H., Musa, Z. M. & Escudero, J., 16 Jun 2021, (E-pub ahead of print) In: Cognitive Computation. 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Keratoconus 92%
  • Transfer learning 86%
  • Machine Learning 82%
  • Classifiers 51%

• Detecting Seizures from a Low-density Montage with BrainsView

  Abdullateef, S., Escudero, J., Nenadovic, V., Jordan, B., McLellan, A. & Lo, M., 6 Sep 2021, BioMedEng2021. 24

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Seizures 100%
  • Electroencephalography 54%
  • Critical Care 37%
  • Pediatric Nurses 31%
  • Pediatrics 27%

• Developing a new test to identify consolidation-related memory markers of normal ageing and Alzheimer's Disease

  Craig, M., Parra Rodriguez, M., Escudero, J., Strickland, S. & Dewar, M., 1 Jul 2019.

  Research output: Contribution to conference › Poster › peer-review

  • Memory Consolidation 100%
  • Alzheimer Disease 61%
  • Memory 57%
  • Young Adult 31%
  • Age Groups 9%

• Development of a highly dexterous robotic hand with independent finger movements for amputee training

  Al-Timemy, A. H., Brochard, A., Bugmann, G. & Escudero, J., 2014, Towards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, Revised Selected Papers. Springer-Verlag, p. 291-293 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8069 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electromyography 100%
  • Robotics 66%
  • Prostheses and Implants 63%
  • Training 58%
  • End effectors 58%

• Differential Effects of Simulated Neural Network's Lesions on Synchrony and EEG Complexity

  Ibáñez-Molina, A. J., Iglesias-Parro, S. & Escudero, J., 25 Jun 2018, (E-pub ahead of print) In: International Journal of Neural Systems. 29, 4, 1850024.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Electroencephalography 100%
  • Brain 85%
  • Neural networks 62%
  • Entropy 34%
  • Fractal dimension 24%

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

  Al-qazzaz, N. K., Ali, S. H. B. M., Ahmad, S. A., Islam, M. S. & Escudero, J., Jan 2018, In: Medical and Biological Engineering and Computing. 56, 1, p. 137-157 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Signal analysis 100%
  • Electroencephalography 87%
  • Decomposition 54%
  • Support vector machines 48%
  • Dimensionality reduction 32%

• Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images

  Lu, X., Yang, Y., Wu, F., Gao, M., Xu, Y., Yang, Y., Yao, Y., Du, X., Li, C., Wu, L., Zhong, X., Zhou, Y., Fan, N., Zheng, Y., Xiong, D., Peng, H., Escudero, J., Huang, B., Li, X., Ning, Y. & 1 others, Wu, K., 1 Jul 2016, In: Medicine. 95, 30, e3973.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Support Vector Machine 100%
  • Schizophrenia 66%
  • Magnetic Resonance Imaging 54%
  • Machine Learning 26%
  • Gray Matter 23%

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

  Azami, H., Rostaghi, M., Fernández, A. & Escudero, J., 20 Aug 2016, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 6417-6420 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Entropy 100%
  • Time series 9%
  • Brain 8%

• Distinguishing EEG Activity in Visual Short Term Memory Tasks using Modular Dirichlet Energy on Brain Networks

  Smith, K., Ricaud, B., Nauman, S., Parra, M. A., Escudero, J. & Vandergheynst, P., Mar 2016, (Accepted/In press).

  Research output: Contribution to conference › Poster › peer-review

• Early Detection and Characterization of Alzheimer's Disease in Clinical Scenarios Using Bioprofile Concepts and K-Means

  Escudero, J., Zajicek, J. P. & Ifeachor, E., 2011, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 6470-6473 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Disease control 100%
  • Neurodegenerative diseases 99%

• Early diagnosis of Alzheimer’s disease: The role of biomarkers including advanced EEG signal analysis. An I.F.C.N.-sponsored panel of Experts

  Rossini, P. M., Di Iorio, R., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A. C., Cappa, S. F., Escudero, J., Fraga, F. J., Giannakopoulos, P., Guntekin, B., Logroscino, G., Marra, C., Miraglia, F., Panza, F., Tecchio, F., Pascual-Leone, A. & Dubois, B., Jun 2020, In: Clinical Neurophysiology. 131, 6, p. 1287-1310

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • Electroencephalography 100%
  • Early Diagnosis 95%
  • Alzheimer Disease 91%
  • Biomarkers 76%
  • Cognitive Dysfunction 27%

• Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control

  Al-Timemy, A. H., Castellini, C., Escudero, J., Khushaba, R. N. & Muceli, S., 25 Apr 2022, In: Frontiers in Neuroscience. 16, 2 p., 889202.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Prostheses and Implants 64%
  • Electromyography 48%
  • Electric Impedance 48%
  • Peripheral Nerves 47%

• EEG Markers for Early Detection and Characterization of Vascular Dementia during Working Memory Tasks

  Al-qazzaz, N. K., Ali, S. H. B. M., Ahmad, S. A., Islam, M. S. & Escudero, J., Dec 2016. 5 p.

  Research output: Contribution to conference › Paper › peer-review

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

  Al-qazzaz, N. K., Ali, S., Ahmad, S. A., Islam, M. S. & Escudero, J., 2 Oct 2015, (Accepted/In press).

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

• Effect of Importance Sampling on Robust Segmentation of Audio-cough events in Noisy Environments

  Monge-Álvarez, J., Hoyos-Barcelo, C., Escudero, J., Lesso, P., Dahal, K. & Casaseca-de-la-Higuera, P., 18 Aug 2016, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 3740-3744 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Importance sampling 100%
  • Smartphones 72%
  • Pulmonary diseases 52%
  • Signal to noise ratio 31%
  • Acoustic waves 30%

• Effect of the Average Delay and Mean Connectivity of the Kuramoto Model on the Complexity of the Output Electroencephalograms

  Escudero, J., Ibáñez-Molina, A. & Iglesias-Parro, S., 29 Aug 2015, p. 7873-7876. 4 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Electroencephalography 100%
  • Entropy 58%
  • Brain 57%
  • Time delay 28%

• Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer's disease patients

  Abasolo, D., Hornero, R., Espino, P., Escudero, J. & Gomez, C., 2007, 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 6192-6195 4 p. (PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entropy 100%
  • Electroencephalography 70%
  • Alzheimer Disease 64%
  • Electrodes 28%
  • Alzheimer Disease 11 28%

• Electroencephalogram Background Activity Characterization with Detrended Moving Average in Alzheimer's Disease Patients

  Abasolo, D., Hornero, R., Gomez, C., Escudero, J. & Espino, P., 2009, WISP 2009: 6TH IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, PROCEEDINGS. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 211-215 5 p. (International Symposium on Intelligent Signal Processing-WISP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Alzheimer Disease 91%
  • Electrodes 33%
  • Alzheimer Disease 11 33%
  • Scalp 19%

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

  Kinney-lang, E., Spyrou, L., Ebied, A., Chin, R. & Escudero, J., 14 Sep 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3797-3800 4 p. 8037684

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pediatrics 100%
  • Brain-Computer Interfaces 99%
  • Brain computer interface 84%
  • Factor analysis 83%
  • Tensors 72%

• Evaluation of EEG Dynamic Connectivity Around Seizure Onset with Principal Component Analysis

  Soare, I. & Escudero, J., 1 Apr 2022, (Accepted/In press) Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Xplore, 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Principal Component Analysis 100%
  • Electroencephalography 79%
  • Seizures 72%
  • Epilepsy 47%
  • Brain 46%

• Evaluation of Matrix Factorisation Approaches for Muscle Synergy Extraction

  Ebied, A., Kinney-lang, E., Spyrou, L. & Escudero, J., 1 Jul 2018, In: Medical Engineering and Physics. 57, p. 51-60

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Factorization 100%
  • Muscle 93%
  • Muscles 60%
  • Principal Component Analysis 26%
  • Wrist 24%

• Evaluation of resting-state functional connectivity in MEG signals of Alzheimer’s disease and mild cognitive impairment subjects with minimum spanning trees

  Dragos, S., Fernandez, A. & Escudero, J., 11 Dec 2014. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

• Evaluation of Resting-State Magnetoencephalogram Complexity in Alzheimer's Disease with Multivariate Multiscale Permutation and Sample Entropies

  Azami, H., Smith, K., Fernandez, A. & Escudero, J., 28 Aug 2015, p. 7422-7425. 4 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Entropy 100%

• 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

  Bernal Moyano, J., Valdes Hernandez, M., Escudero, J., Sakka, E., Armitage, P., Makin, S., Touyz, R. M. & Wardlaw, J., 5 Jun 2020, In: Journal of Imaging . 6, 6, 14 p., 43.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetic resonance 100%
  • Imaging techniques 73%
  • Cerebrospinal fluid 69%
  • Magnetic Resonance Imaging 63%
  • Power spectrum 51%

• Expanding the (kaleido)scope: A literature perspective on using brain-computer interfaces for neurorehabilitation in children

  Kinney-lang, E., Auyeung, B. & Escudero, J., Dec 2016, In: Journal of Neural Engineering. 13, 6, 13 p., 061002.

  Research output: Contribution to journal › Literature review › peer-review

  Open Access

  File

  • Brain-Computer Interfaces 100%
  • Neurological Rehabilitation 97%
  • Brain computer interface 84%
  • Rehabilitation 42%
  • Patient rehabilitation 34%

• Extracellular Spike Detection from Multiple Electrode Array using Novel Intelligent Filter and Ensemble Fuzzy Decision Making

  Azami, H., Escudero, J., Darzi, A. & Sanei, S., 15 Jan 2015, In: Journal of Neuroscience Methods. 239, 1, p. 129-138

  Research output: Contribution to journal › Article › peer-review

  File

  • Electrodes 100%
  • Decision Making 95%
  • Probability Theory 67%
  • Noise 35%
  • Action Potentials 34%

• Feasibility Study of Frequency-difference Electrical Impedance Tomography on Industrial Applications

  Wu, H., Yang, Y., Escudero, J. & Jia, J., 2016.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

• Finger movements classification for the dexterous control of upper limb prosthesis using EMG signals

  Al-Timemy, A., Bugmann, G., Outram, N., Escudero, J. & Li, H., 2012, Advances in Autonomous Robotics - Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress. p. 434-435 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7429 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Prostheses and Implants 100%
  • Muscle 91%
  • Movement 86%
  • Electromyography 31%
  • Life 30%

• Flow Rate Measurement of Oil-Gas-Water Wavy Flow through a Combined Electrical and Ultrasonic Sensor

  Shi, X., Tan, C., Dong, F. & Escudero, J., 1 Jan 2022, In: Chemical Engineering Journal. 427, 16 p., 131982.

  Research output: Contribution to journal › Article › peer-review

  • Ultrasonic sensors 100%
  • Gas oils 85%
  • gas flow 78%
  • Three-Phase Flow 75%
  • water flow 67%

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

  Dron, N., Navarro, M., Chin, R. & Escudero, J., Sep 2021, In: Biomedical Signal Processing and Control. 70, 102889.

  Research output: Contribution to journal › Article › peer-review

  • Data fusion 100%
  • Electroencephalography 79%
  • Decomposition 67%
  • Magnetic resonance 65%
  • Magnetic Resonance Imaging 62%

• Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions

  Chatzichristos, C., Davies, M., Escudero, J., Kofidis, E. & Theodoridis, S., 2018, 2018 26th European Signal Processing Conference (EUSIPCO). p. 56-60 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic Resonance Imaging 100%
  • Tensors 87%
  • Electroencephalography 84%
  • Decomposition 63%
  • Independent component analysis 48%

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

  Azami, H., Li, P., Arnold, S. E., Escudero, J. & Humeau-Heurtier, A., Dec 2019, In: IEEE Access. 7, 1, p. 104833-104847

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Membership functions 100%
  • Entropy 88%
  • Exponential functions 47%
  • Gravity 26%
  • Size Effect 26%

• Gas-liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic (GVD) Connectivity of ERT

  Tan, C., Shen, Y., Smith, K., Dong, F. & Escudero, J., 1 May 2019, In: IEEE Transactions on Instrumentation and Measurement. 68, 5, p. 1590-1601 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • liquid flow 100%
  • Flow patterns 89%
  • flow distribution 77%
  • Liquids 60%
  • two phase flow 57%

• Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler

  Shen, Y., Tan, C., Dong, F., Smith, K. & Escudero, J., 12 Jul 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Institute of Electrical and Electronics Engineers (IEEE), 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Two phase flow 100%
  • Flow patterns 96%
  • Tomography 94%
  • Pattern recognition 86%
  • Ultrasonics 83%

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

  Spyrou, L. & Escudero, J., 8 Mar 2017, Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 944-948 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Factorization 100%
  • Tensors 99%
  • Electroencephalography 96%
  • Singular value decomposition 25%
  • Error analysis 23%

• Graph-Variate Signal Analysis

  Smith, K., Spyrou, L. & Escudero, J., 15 Jan 2019, In: IEEE Transactions on Signal Processing. 67, 2, p. 293-305 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Signal analysis 100%
  • Gamma rays 18%
  • Electric network analysis 15%
  • Electroencephalography 14%

• Hierarchical Complexity of the Adult Human Structural Connectome

  Smith, K., Bastin, M., Cox, S., Valdes Hernandez, M., Wiseman, S., Escudero, J. & Sudlow, C., May 2019, In: NeuroImage. 191, p. 205-215

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Connectome 100%
  • Brain 34%
  • Brain Mapping 24%
  • Benchmarking 19%

• Hierarchical complexity of the macro-scale neonatal brain

  Blesa Cabez, M., Galdi, P., Cox, S., Sullivan, G., Stoye, D., Lamb, G. J., Quigley, A., Thrippleton, M., Escudero, J., Bastin, M., Smith, K. & Boardman, J. P., 7 Dec 2020, (E-pub ahead of print) In: Cerebral Cortex.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

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

  Ebied, A., Kinney-Lang, E. & Escudero, J., May 2021, In: Biomedical Signal Processing and Control. 67, 13 p., 102523.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Tensors 100%
  • Muscle 94%
  • Wrist 73%
  • Decomposition 72%
  • Factorization 66%

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

  Cabrera, F. E., Sanchez Nuñez, P., Vaccaro, G., Peláez, J. I. & Escudero, J., 9 Jul 2021, In: Sensors. 21, 14, 4695.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Classifier 100%
  • electroencephalography 90%
  • spectral methods 88%
  • Electroencephalography 70%
  • brain 69%

• Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings

  Azami, H. & Escudero, J., 2016, In: Biomedical Signal Processing and Control. 23, 1, p. 28-41

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Entropy 100%
  • Signal analysis 92%
  • Electroencephalography 80%
  • Time series 28%
  • Signal processing 26%

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

  Al-Timemy, A. H., Khushaba, R. N., Bugmann, G. & Escudero, J., Jun 2016, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24, 6, p. 650-661

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Artificial Limbs 100%
  • Amputees 84%
  • Prosthetics 71%
  • Electromyography 65%
  • Upper Extremity 59%

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

  Escudero, J., 1 Mar 2015, In: Clinical Neurophysiology. 126, 3, p. 435-436

  Research output: Contribution to journal › Editorial › peer-review

  File

• Inspection of Short-Time Resting-State Electroencephalogram Functional Networks in Alzheimer's Disease

  Escudero, J., Smith, K., Azami, H. & Abásolo, D., 18 Aug 2016, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 2810-2813 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • dementia 100%
  • time 34%
  • discrimination 24%
  • efficiency 23%
  • Group 19%

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

  Escudero, J., Hornero, R. & Abasolo, D., Feb 2009, In: Physiological Measurement. 30, 2, p. 187-199 13 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Signal analysis 100%
  • Electroencephalography 87%
  • Time series 52%
  • Time series analysis 37%
  • White noise 32%

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

  Kinney-lang, E., Ebied, A., Auyeung, B., Chin, R. & Escudero, J., 1 Mar 2019, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 3, p. 348-357

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Pediatrics 100%
  • Data fusion 78%
  • Electroencephalography 70%
  • Joints 52%
  • Child 18%

• LiveWell – Promoting Healthy Living and Wellbeing for Parkinson Patients through Social Network and ICT Training: Lessons learnt and best practices

  Kamel Boulos, M. N., Ifeachor, E., Escudero, J., Zhao, P., Carroll, C., Costa, P., Doppler, G., Carrasco, L., Spiru, L., Helga, K. & Kosem, M., 1 Jul 2015, In: International Journal of Healthcare Information Systems and Informatics. 10, 3, p. 24-41

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Best Practice 100%
  • Parkinson's Disease 98%
  • Social Networking 88%
  • Social Networks 84%
  • Practice Guidelines 73%

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

  Smith, K., Ricaud, B., Shahid, N., Rhodes, S., Starr, J. M., Ibanez, A., Parra, M. A., Escudero, J. & Vandergheynst, P., 10 Feb 2017, In: Scientific Reports. 7, 42013.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Short-Term Memory 100%
  • Alzheimer Disease 82%
  • Electronic Data Processing 35%
  • Evoked Potentials 34%
  • Electroencephalography 30%