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ORCIDFrancisco Sepulveda
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Journal Articles
- 2020
[j17]Miguel Capllonch-Juan
, Francisco Sepulveda:
Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves. PLoS Comput. Biol. 16(6) (2020)- 2019
- [j16]Amir Jahangiri, Francisco Sepulveda:
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. J. Medical Syst. 43(2): 20:1-20:9 (2019) - [j15]Amir Jahangiri, Francisco Sepulveda:
Correction to: 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. J. Medical Syst. 43(8): 237:1 (2019) - 2015
- [j14]Mohammed R. Al-Mulla, Francisco Sepulveda, Bader Al-Bader:
Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction. Comput. 4(3): 251-264 (2015) - [j13]Mohammed R. Al-Mulla, Francisco Sepulveda:
Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions. J. Medical Syst. 39(1): 167 (2015) - 2014
- [j12]Luz María Alonso-Valerdi, Francisco Sepulveda:
Development of a simulated living-environment platform: Design of BCI assistive software and modeling of a virtual dwelling place. Comput. Aided Des. 54: 39-50 (2014) - [j11]Mohammed R. Al-Mulla, Francisco Sepulveda:
Novel Pseudo-Wavelet Function for MMG Signal Extraction during Dynamic Fatiguing Contractions. Sensors 14(6): 9489-9504 (2014) - 2011
- [j10]Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley:
An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue. Sensors 11(2): 1542-1557 (2011) - [j9]Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley:
A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. Sensors 11(4): 3545-3594 (2011) - 2010
- [j8]Mohammed R. Al-Mulla, Francisco Sepulveda:
Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System. Sensors 10(5): 4838-4854 (2010) - 2009
- [j7]Riccardo Poli, Luca Citi, Francisco Sepulveda, Caterina Cinel:
Analogue evolutionary brain computer interfaces [Application Notes]. IEEE Comput. Intell. Mag. 4(4): 27-31 (2009) - 2008
- [j6]Tao Geng, John Q. Gan, Matthew Dyson, Chun Sing Louis Tsui, Francisco Sepulveda:
A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Comput. Intell. Neurosci. 2008 (2008) - [j5]Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda:
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Inf. Sci. 178(6): 1629-1640 (2008) - [j4]Aleksandra Vuckovic, Francisco Sepulveda:
Delta band contribution in cue based single trial classification of real and imaginary wrist movements. Medical Biol. Eng. Comput. 46(6): 529-539 (2008) - 2007
- [j3]Enrique Leon, Graham Clarke, Victor Callaghan, Francisco Sepulveda:
A user-independent real-time emotion recognition system for software agents in domestic environments. Eng. Appl. Artif. Intell. 20(3): 337-345 (2007) - 2004
- [j2]Enrique Leon, Graham Clarke, Victor Callaghan, Francisco Sepulveda:
Real-time detection of emotional changes for inhabited environments. Comput. Graph. 28(5): 635-642 (2004) - 2001
- [j1]Silvestro Micera, Winnie Jensen, Francisco Sepulveda, Ronald R. Riso, Thomas Sinkjær:
Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model. IEEE Trans. Biomed. Eng. 48(7): 787-794 (2001)
Conference and Workshop Papers
- 2019
- [c26]Miguel Capllonch-Juan, Francisco Sepulveda:
Evaluation of a Resistor Network for Solving Electrical Problems on Ohmic Media. CEEC 2019: 35-40 - [c25]Amir Jahangiri, David Achanccaray, Francisco Sepulveda:
A Novel EEG-Based Four-Class Linguistic BCI. EMBC 2019: 3050-3053 - [c24]David Achanccaray, Juan M. Chau, Jairo Pirca, Francisco Sepulveda, Mitsuhiro Hayashibe:
Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. NER 2019: 1171-1174 - 2018
- [c23]Amir Jahangiri, Juan M. Chau, David R. Achanccaray, Francisco Sepulveda:
Covert Speech vs. Motor Imagery: a comparative study of class separability in identical environments. EMBC 2018: 2020-2023 - [c22]Andrei Iacob, Mihail Morosan, Francisco Sepulveda, Riccardo Poli:
Genetic optimisation of BCI systems for identifying games related cognitive states. GECCO (Companion) 2018: 237-238 - 2017
- [c21]Qichun Zhang, Francisco Sepulveda:
RBFNN-based Modelling and Analysis for the Signal Reconstruction of Peripheral Nerve Tissue. BCB 2017: 474-479 - [c20]Duaa AlQattan, Francisco Sepulveda:
Towards sign language recognition using EEG-based motor imagery brain computer interface. BCI 2017: 5-8 - [c19]Youngjae Song, Francisco Sepulveda:
An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenarios. BCI 2017: 46-49 - [c18]Miguel Capllonch-Juan, Florian Kölbl, Francisco Sepulveda:
Unidirectional ephaptic stimulation between two myelinated axons. EMBC 2017: 230-233 - [c17]Amir Jahangiri, Francisco Sepulveda:
The contribution of different frequency bands in class separability of covert speech tasks for BCIs. EMBC 2017: 2093-2096 - [c16]Qichun Zhang, Francisco Sepulveda:
A model study of the neural interaction via mutual coupling factor identification. EMBC 2017: 3329-3332 - [c15]Qichun Zhang, Francisco Sepulveda:
Modelling and Control Design for Membrane Potential Conduction Along Nerve Fibre Using B-spline Neural Network. LSMS/ICSEE (1) 2017: 53-62 - [c14]Qichun Zhang, Francisco Sepulveda:
A statistical description of pairwise interaction between nerve fibres? NER 2017: 194-198 - 2016
- [c13]Florian Kölbl, Miguel Capllonch-Juan, Francisco Sepulveda:
Impact of the angle of implantation of transverse intrafascicular multichannel electrodes on axon activation. BioCAS 2016: 484-487 - [c12]Miguel Capllonch-Juan, Florian Kölbl, Francisco Sepulveda:
Optimisation of the spatial discretisation of myelinated axon models. CEEC 2016: 216-221 - 2015
- [c11]Youngjae Song, Francisco Sepulveda:
Classifying siren-sound mental rehearsal and covert production vs. idle state towards onset detection in brain-computer interfaces. BCI 2015: 1-4 - [c10]Mohammed R. Al-Mulla, Francisco Sepulveda, Mohammad Suoud:
Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction. IWBBIO (1) 2015: 303-314 - [c9]Luz María Alonso-Valerdi, Francisco Sepulveda:
Implementation of a Motor Imagery based BCI System using Python Programming Language. PhyCS 2015: 35-43 - 2014
- [c8]Youngjae Song, Francisco Sepulveda:
Classifying speech related vs. idle state towards onset detection in brain-computer interfaces overt, inhibited overt, and covert speech sound production vs. idle state. BioCAS 2014: 568-571 - 2013
- [c7]Riccardo Poli, Caterina Cinel, Francisco Sepulveda, Adrian Stoica:
Improving decision-making based on visual perception via a collaborative brain-computer interface. CogSIMA 2013: 1-8 - [c6]Riccardo Poli, Caterina Cinel, Ana Matran-Fernandez, Francisco Sepulveda, Adrian Stoica:
Towards cooperative brain-computer interfaces for space navigation. IUI 2013: 149-160 - 2011
- [c5]Luz María Alonso-Valerdi, Francisco Sepulveda:
Programming an offline-analyzer of motor imagery signals via python language. EMBC 2011: 7861-7864 - 2010
- [c4]Mohammed R. Al-Mulla, Francisco Sepulveda:
Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature. AIS 2010: 1-6 - 2009
- [c3]Ahmed Kattan, Mohammed R. Al-Mulla, Francisco Sepulveda, Riccardo Poli:
Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming. IJCCI 2009: 292-297 - 2008
- [c2]Alexandros Agapitos, Matthew Dyson, Simon M. Lucas, Francisco Sepulveda:
Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. GECCO 2008: 1155-1162 - 2007
- [c1]Riccardo Poli, Caterina Cinel, Luca Citi, Francisco Sepulveda:
Evolutionary Brain Computer Interfaces. EvoWorkshops 2007: 301-310
Coauthor Index
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