Francisco Sepulveda

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 18

Top Topics

Sign Language Recognition

Top Venues

J. Medical Syst.

Publications

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)
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) (2019)
Miguel Capllonch-Juan, Francisco Sepulveda
Evaluation of a Resistor Network for Solving Electrical Problems on Ohmic Media. CEEC (2019)
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)
Amir Jahangiri, David Achanccaray, Francisco Sepulveda
A Novel EEG-Based Four-Class Linguistic BCI. EMBC (2019)
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) (2019)
Andrei Iacob, Mihail Morosan, Francisco Sepulveda, Riccardo Poli
Genetic optimisation of BCI systems for identifying games related cognitive states. GECCO (Companion) (2018)
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)
Duaa AlQattan, Francisco Sepulveda
Towards sign language recognition using EEG-based motor imagery brain computer interface. BCI (2017)
Qichun Zhang, Francisco Sepulveda
A model study of the neural interaction via mutual coupling factor identification. EMBC (2017)
Qichun Zhang, Francisco Sepulveda
Modelling and Control Design for Membrane Potential Conduction Along Nerve Fibre Using B-spline Neural Network. LSMS/ICSEE (1) (2017)
Amir Jahangiri, Francisco Sepulveda
The contribution of different frequency bands in class separability of covert speech tasks for BCIs. EMBC (2017)
Miguel Capllonch-Juan, Florian Kölbl, Francisco Sepulveda
Unidirectional ephaptic stimulation between two myelinated axons. EMBC (2017)
Qichun Zhang, Francisco Sepulveda
RBFNN-based Modelling and Analysis for the Signal Reconstruction of Peripheral Nerve Tissue. BCB (2017)
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)
Qichun Zhang, Francisco Sepulveda
A statistical description of pairwise interaction between nerve fibres? NER (2017)
Florian Kölbl, Miguel Capllonch-Juan, Francisco Sepulveda
Impact of the angle of implantation of transverse intrafascicular multichannel electrodes on axon activation. BioCAS (2016)
Miguel Capllonch-Juan, Florian Kölbl, Francisco Sepulveda
Optimisation of the spatial discretisation of myelinated axon models. CEEC (2016)
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)
Mohammed R. Al-Mulla, Francisco Sepulveda, Bader Al-Bader
Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction. Comput. 4 (3) (2015)
Luz María Alonso-Valerdi, Francisco Sepulveda
Implementation of a Motor Imagery based BCI System using Python Programming Language. PhyCS (2015)
Youngjae Song, Francisco Sepulveda
Classifying siren-sound mental rehearsal and covert production vs. idle state towards onset detection in brain-computer interfaces. BCI (2015)
Mohammed R. Al-Mulla, Francisco Sepulveda
Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions. J. Medical Syst. 39 (1) (2015)
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)
Mohammed R. Al-Mulla, Francisco Sepulveda
Novel Pseudo-Wavelet Function for MMG Signal Extraction during Dynamic Fatiguing Contractions. Sensors 14 (6) (2014)
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 (2014)
Riccardo Poli, Caterina Cinel, Ana Matran-Fernandez, Francisco Sepulveda, Adrian Stoica
Towards cooperative brain-computer interfaces for space navigation. IUI (2013)
Riccardo Poli, Caterina Cinel, Francisco Sepulveda, Adrian Stoica
Improving decision-making based on visual perception via a collaborative brain-computer interface. CogSIMA (2013)
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) (2011)
Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley
An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue. Sensors 11 (2) (2011)
Luz María Alonso-Valerdi, Francisco Sepulveda
Programming an offline-analyzer of motor imagery signals via python language. EMBC (2011)
Mohammed R. Al-Mulla, Francisco Sepulveda
Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature. AIS (2010)
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) (2010)
Riccardo Poli, Luca Citi, Francisco Sepulveda, Caterina Cinel
Analogue evolutionary brain computer interfaces [Application Notes]. IEEE Comput. Intell. Mag. 4 (4) (2009)
Ahmed Kattan, Mohammed R. Al-Mulla, Francisco Sepulveda, Riccardo Poli
Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming. IJCCI (2009)
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)
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)
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) (2008)
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) (2008)
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) (2007)
Riccardo Poli, Caterina Cinel, Luca Citi, Francisco Sepulveda
Evolutionary Brain Computer Interfaces. EvoWorkshops (2007)
Enrique Leon, Graham Clarke, Victor Callaghan, Francisco Sepulveda
Real-time detection of emotional changes for inhabited environments. Comput. Graph. 28 (5) (2004)
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) (2001)