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Article

Capllonch-Juan, Miguel and Sepulveda, Francisco (2020) Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves. PLoS Computational Biology, 16 (6). e1007826-e1007826. DOI https://doi.org/10.1371/journal.pcbi.1007826

Song, Youngjae and Sepulveda, Francisco (2020) Comparison between covert sound-production task (sound-imagery) vs. motor-imagery for onset detection in real-life online self-paced BCIs. Journal of NeuroEngineering and Rehabilitation, 17 (1). 14-. DOI https://doi.org/10.1186/s12984-020-0651-4

Jahangiri, Amir and Sepulveda, Francisco (2019) The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech Tasks in EEG Data. Journal of Medical Systems, 43 (2). 20-. DOI https://doi.org/10.1007/s10916-018-1137-9

Song, YoungJae and Sepulveda, Francisco (2018) A Novel Technique for Selecting EMG-Contaminated EEG Channels in Self-Paced Brain-Computer Interface Task Onset. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26 (7). pp. 1353-1362. DOI https://doi.org/10.1109/TNSRE.2018.2847316

Damjanovic, L and Meyer, M and Sepulveda, F (2017) Raising the Alarm: Individual Differences in the Perceptual Awareness of Masked Facial Expressions. Brain and Cognition, 114. pp. 1-10. DOI https://doi.org/10.1016/j.bandc.2017.01.010

Song, Y and Sepulveda, F (2017) A novel onset detection technique for brain?computer interfaces using sound-production related cognitive tasks in simulated-online system. Journal of Neural Engineering, 14 (1). 016019-016019. DOI https://doi.org/10.1088/1741-2552/14/1/016019

Alonso-Valerdi, Luz M and Gutiérrez-Begovich, David A and Argüello-García, Janet and Sepulveda, Francisco and Ramírez-Mendoza, Ricardo A (2016) User Experience May be Producing Greater Heart Rate Variability than Motor Imagery Related Control Tasks during the User-System Adaptation in Brain-Computer Interfaces. Frontiers in Physiology, 7 (JUL). DOI https://doi.org/10.3389/fphys.2016.00279

Alonso-Valerdi, Luz María and Sepulveda, Francisco and Ramírez-Mendoza, Ricardo A (2015) Perception and cognition of cues Used in synchronous Brain–computer interfaces Modify electroencephalographic Patterns of control Tasks. Frontiers in Human Neuroscience, 9 (NOV). p. 636. DOI https://doi.org/10.3389/fnhum.2015.00636

Al-Mulla, Mohamed R and Sepulveda, Francisco (2015) Super wavelet for sEMG signal extraction during dynamic fatiguing contractions. Journal of medical systems, 39 (1). p. 167. DOI https://doi.org/10.1007/s10916-014-0167-1

Alonso-Valerdi, Luz Maria and Sepulveda, Francisco (2014) Development of a simulated living-environment platform: design of BCI assistive software and modeling of a virtual dwelling place. Computer-Aided Design, 54. pp. 39-50. DOI https://doi.org/10.1016/j.cad.2013.07.005

Al-Mulla, Mohammed R and Sepulveda, Francisco (2014) Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions. Sensors, 14 (6). pp. 9489-9504. DOI https://doi.org/10.3390/s140609489

Al-Mulla, MR and Sepulveda, F and Colley, MJ (2011) A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. Sensors, 2011 (11). pp. 3545-3594. DOI https://doi.org/10.3390/s110403545

Wallace, Denise and Eltiti, Stacy and Ridgewell, Anna and Garner, Kelly and Russo, Riccardo and Sepulveda, Francisco and Walker, Stuart and Quinlan, Terence and Dudley, Sandra and Maung, Sithu and others (2011) Cognitive and physiological responses in humans exposed to a TETRA base station signal in relation to perceived electromagnetic hypersensitivity. Bioelectromagnetics, 33 (1). pp. 23-39. DOI https://doi.org/10.1002/bem.20681

Al-Mulla, Mohamed R and Sepulveda, Francisco and Colley, M (2011) Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue. Medical Engineering and Physics, 33 (4). pp. 411-417. DOI https://doi.org/10.1016/j.medengphy.2010.11.008

Al-Mulla, Mohamed R and Sepulveda, Francisco and Colley, Martin (2011) An autonomous wearable system for predicting and detecting localised muscle fatigue. Sensors, 11 (2). pp. 1542-1557. DOI https://doi.org/10.3390/s110201542

Salvaris, Mathew and Cinel, Caterina and Poli, Riccardo and Citi, Luca and Sepulveda, Francisco (2010) Exploring multiple protocols for a brain-computer interface mouse. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010. pp. 4189-4192. DOI https://doi.org/10.1109/iembs.2010.5627388

Poli, Riccardo and Cinel, Caterina and Citi, Luca and Sepulveda, Francisco (2010) Reaction-time binning: A simple method for increasing the resolving power of ERP averages. Psychophysiology, 47 (3). pp. 467-485. DOI https://doi.org/10.1111/j.1469-8986.2009.00959.x

Salvaris, M and Sepulveda, F (2010) Classification effects of real and imaginary movement selective attention tasks on a P300-based brain?computer interface. Journal of Neural Engineering, 7 (5). creators-Sepulveda=3AFrancisco=3A=3A. DOI https://doi.org/10.1088/1741-2560/7/5/056004

Wallace, Denise and Eltiti, Stacy and Ridgewell, Anna and Garner, Kelly and Russo, Riccardo and Sepulveda, Francisco and Walker, Stuart and Quinlan, Terence and Dudley, Sandra EM and Maung, Sithu and others (2010) Do TETRA (Airwave) base station signals have a short-term impact on health and well-being? A randomized double-blind provocation study. Environmental Health Perspectives, 118 (6). p. 735. DOI https://doi.org/10.1289/ehp.0901416

Poli, Riccardo and Citi, Luca and Salvaris, Mathew and Cinel, Caterina and Sepulveda, Francisco (2010) Eigenbrains: the free vibrational modes of the brain as a new representation for EEG. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010. pp. 6011-6014. DOI https://doi.org/10.1109/iembs.2010.5627593

Dyson, M and Sepulveda, Francisco and Gan, John Q (2010) Localisation of cognitive tasks used in EEG-based BCIs. Clinical Neurophysiology, 121 (9). pp. 1481-1493. DOI https://doi.org/10.1016/j.clinph.2010.03.011

Poli, R and Citi, L and Sepulveda, F and Cinel, C (2009) Analogue evolutionary brain computer interfaces. IEEE Computational Intelligence Magazine, 4 (4). 27 - 31. DOI https://doi.org/10.1109/MCI.2009.934563

Poli, R and Citi, L and Sepulveda, F and Cinel, C (2009) Analogue evolutionary brain computer interfaces. IEEE Computational Intelligence Magazine, 4 (4). pp. 27-31. DOI https://doi.org/10.1109/MCI.2009.934563

Eltiti, Stacy and Wallace, Denise and Ridgewell, Anna and Zougkou, Konstantina and Russo, Riccardo and Sepulveda, Francisco and Fox, Elaine (2009) Short‐term exposure to mobile phone base station signals does not affect cognitive functioning or physiological measures in individuals who report sensitivity to electromagnetic fields and controls. Bioelectromagnetics, 30 (7). pp. 556-563. DOI https://doi.org/10.1002/bem.20504

Menon, Carlo and de Negueruela, Cristina and Millán, José del R and Tonet, Oliver and Carpi, Federico and Broschart, Michael and Ferrez, Pierre and Buttfield, Anna and Tecchio, Franca and Sepulveda, Francisco and Citi, Luca and Laschi, Cecilia and Tombini, Mario and Dario, Paolo and Maria Rossini, Paolo and De Rossi, Danilo (2009) Prospects of brain–machine interfaces for space system control. Acta Astronautica, 64 (4). pp. 448-456. DOI https://doi.org/10.1016/j.actaastro.2008.09.008

Salvaris, M and Sepulveda, F (2009) Visual modifications on the P300 speller BCI paradigm. Journal of Neural Engineering, 6 (4). creators-Sepulveda=3AFrancisco=3A=3A. DOI https://doi.org/10.1088/1741-2560/6/4/046011

Zhou, Shang-Ming and Gan, John Q and Sepulveda, Francisco (2008) Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface. Information Sciences, 178 (6). pp. 1629-1640. DOI https://doi.org/10.1016/j.ins.2007.11.012

Citi, Luca and Poli, Riccardo and Cinel, Caterina and Sepulveda, Francisco (2008) P300-Based BCI Mouse With Genetically-Optimized Analogue Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16 (1). pp. 51-61. DOI https://doi.org/10.1109/tnsre.2007.913184

Vuckovic, A and Sepulveda, F (2008) Delta band contribution in cue based single trial classification of real and imaginary wrist movements. Medical & Biological Engineering & Computing, 46 (6). pp. 529-539. DOI https://doi.org/10.1007/s11517-008-0345-8

Geng, Tao and Gan, John Q and Dyson, Matthew and Tsui, Chun SL and Sepulveda, Francisco (2008) A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Computational Intelligence and Neuroscience, 2008. pp. 1-5. DOI https://doi.org/10.1155/2008/437306

Vuckovic, A and Sepulveda, F (2008) Quantification and visualisation of differences between two motor tasks based on energy density maps for brain?computer interface applications. Clinical Neurophysiology, 119 (2). pp. 446-458. DOI https://doi.org/10.1016/j.clinph.2007.10.015

Eltiti, Stacy and Wallace, Denise and Ridgewell, Anna and Zougkou, Konstantina and Russo, Riccardo and Sepulveda, Francisco and Mirshekar-Syahkal, Dariush and Rasor, Paul and Deeble, Roger and Fox, Elaine (2007) Does Short-Term Exposure to Mobile Phone Base Station Signals Increase Symptoms in Individuals Who Report Sensitivity to Electromagnetic Fields? A Double-Blind Randomized Provocation Study. Environmental Health Perspectives, 115 (11). pp. 1603-1608. DOI https://doi.org/10.1289/ehp.10286

Book Section

Alonso-Valerdi, LM and Sepulveda, FA (2018) EEG pattern differences in motor imagery based control tasks used for brain-computer interfacing: From training sessions to online control. In: Brain-machine Interfaces Uses and Developments. Nova Science Publishers, pp. 43-68. ISBN 9781536133691.

Al-Mulla, Mohamed R and Sepulveda, Francisco and Suoud, Mohammad (2015) Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction. In: Lecture Notes in Computer Science. Springer International Publishing, pp. 303-314. ISBN 9783319164823. Official URL: http://dx.doi.org/10.1007/978-3-319-16483-0_31

Al-Mulla, MR and Sepulveda, F and Colley, MJ (2011) sEMG based Techniques to Detect and Predict Localised Muscle Fatigue. In: UNSPECIFIED InTech. ISBN 9789533077932.

Monograph

Wolkotte, P and Sepulveda, F and Sinkjaer, T and Grey, M (2003) Modelling Human Locomotion. UNSPECIFIED. CSM-378, University of Essex, Colchester.

Conference or Workshop Item

Achanccaray, David and Chau, Juan M and Pirca, Jairo and Sepulveda, Francisco and Hayashibe, Mitsuhiro (2019) Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. In: 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019-03-20 - 2019-03-23.

Capllonch-Juan, M and Kolbl, F and Sepulveda, FA (2017) Unidirectional ephaptic stimulation between two myelinated axons. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2017-07-11 - 2017-07-15, Seogwipo, South Korea.

Jahangiri, A and Sepulveda, FA (2017) The contribution of different frequency bands in class separability of covert speech tasks for BCIs. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2017-07-11 - 2017-07-15, Seogwipo, South Korea.

Sepulveda, FA and Zhang, Q (2017) A model study of the neural interaction via mutual coupling factor identification. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2017-07-11 - 2017-07-15, Seogwipo, South Korea.

Song, YJ and Sepulveda, F (2017) An Online Self-Paced Brain-Computer Interface Onset Detection Based on Sound-Production Imagery Applied to Real-Life Scenarios. In: 2017 5th International Winter Conference on Brain-Computer Interface (BCI), 2017-01-09 - 2017-01-11, IEEE.

Zhang, Qichun and Sepulveda, Francisco (2017) RBFNN-based Modelling and Analysis for the Signal Reconstruction of Peripheral Nerve Tissue. In: BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ? - ?, ACM.

AlQattan, D and Sepulveda, F (2017) Towards Sign Language Recognitionusing EEG-Based Motor Imagery Brain Computer Interface. In: 2017 5th International Winter Conference on Brain-Computer Interface (BCI), 2017-01-09 - 2017-01-11, IEEE.

Song, Y and Sepulveda, F (2015) Classifying siren-sound mental rehearsal and covert production vs. idle state towards onset detection in brain-computer interfaces. In: 3rd International Winter Conference on Brain-Computer Interface (BCI), 2015, 2015-01-12 - 2015-01-14, Sabuk.

Alonso-Valerdi, Luz Maria and Sepulveda, Francisco (2015) Implementation of a Motor Imagery Based BCI System Using Python Programming Language. In: 2nd International Conference on Physiological Computing Systems, 2015-02-11 - 2015-02-13.

Song, YoungJae and Sepulveda, Francisco (2014) Classifying speech related vs. idle state towards onset detection in brain-computer interfaces overt, inhibited overt, and covert speech sound production vs. idle state. In: 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2014-10-22 - 2014-10-24, IEEE.

Poli, Riccardo and Cinel, Caterina and Matran-Fernandez, Ana and Sepulveda, Francisco and Stoica, Adrian (2013) Towards cooperative brain-computer interfaces for space navigation. In: IUI '13: 18th International Conference on Intelligent User Interfaces, ? - ?.

Poli, Riccardo and Cinel, Caterina and Sepulveda, Francisco and Stoica, Adrian (2013) Improving decision-making based on visual perception via a collaborative brain-computer interface. In: 2013 IEEE International Multi-Cognitive Methods in SituationDisciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013), 2013-02-25 - 2013-02-28, IEEE.

Dyson, Matthew and Sepulveda, Francisco and Gan, John Q and Roberts, Stephen J (2009) Sequential classification of mental tasks vs. idle state for EEG based BCIs. In: 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER), 2009-04-29 - 2009-05-02.

Al-Mulla, MR and Sepulveda, F and Colley, MJ and Kattan, A (2009) Classification of localized muscle fatigue with Genetic Programming on sEMG during isometric contraction. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009., 2009-09-03 - 2009-09-06, Minneapolis, MN.

Al-Mulla, MR and Sepulveda, F and Colley, MJ and Al-Mulla, F (2009) Statistical Class Separation Using sEMG Features Towards Automated Muscle Fatigue Detection and Prediction. In: 2nd International Congress on Image and Signal Processing (CISP 2009), 2009-10-17 - 2009-10-19, Tianjin.

Dyson, Matthew and Sepulveda, Francisco and Gan, John Q (2008) Mental task classification against the idle state: A preliminary investigation. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008-08-20 - 2008-08-25, United States.

Dyson, Matthew and Balli, T and Gan, John Q and Sepulveda, F and Palaniappan, R (2008) Approximate entropy for EEG-based movement detection. In: UNSPECIFIED, ? - ?, 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008.

Agapitos, A and Dyson, M and Lucas, SM and Sepulveda, F (2008) Learning to recognise mental activities. In: Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08, ? - ?.

Citi, L and Poli, R and Sepulveda, F (2004) An evolutionary approach to feature selection and classification in P300-based BCI. In: Proceedings of the 2nd International BCI workshop and Training Course, ? - ?, Graz.