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Items where Author is "Sepulveda, Francisco"

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Number of items: 32.

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

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.

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

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.

Alonso-Valerdi, Luz M and GutiĂ©rrez-Begovich, David A and ArgĂŒello-GarcĂ­a, Janet and Sepulveda, Francisco and RamĂ­rez-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

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.

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, 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

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.

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

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.

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

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

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

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.

Menon, Carlo and de Negueruela, Cristina and MillĂĄn, JosĂ© 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

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.

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

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

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

This list was generated on Sat Nov 30 00:16:24 2024 GMT.