Francisco Sepulveda

Summary

Affiliation: University of Essex
Country: UK

Publications

  1. pmc Novel feature modelling the prediction and detection of sEMG muscle fatigue towards an automated wearable system
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex Wivenhoe Park, Colchester CO4 3SQ, UK
    Sensors (Basel) 10:4838-54. 2010
  2. ncbi request reprint A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs
    Francisco Sepulveda
    BCI Group, Dept of Computer Science, University of Essex, United Kingdom
    Conf Proc IEEE Eng Med Biol Soc 2007:5055-8. 2007
  3. doi request reprint Eigenbrains: The free vibrational modes of the brain as a new representation for EEG
    Riccardo Poli
    School of Computer Science and Electronic Engineering, University of Essex CO4 3SQ, Colchester, UK
    Conf Proc IEEE Eng Med Biol Soc 2010:6011-4. 2010
  4. doi request reprint Mental task classification against the idle state: a preliminary investigation
    Matthew Dyson
    BCI Group, Dept of Computing and Electronic Systems, University of Essex, Colchester CO4 3SQ, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:4473-7. 2008
  5. pmc An autonomous wearable system for predicting and detecting localised muscle fatigue
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
    Sensors (Basel) 11:1542-57. 2011
  6. doi request reprint Classification effects of real and imaginary movement selective attention tasks on a P300-based brain-computer interface
    Mathew Salvaris
    Essex Brain Computer Interfaces Lab, School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
    J Neural Eng 7:056004. 2010
  7. ncbi request reprint Robustness of the Farwell & Donchin BCI protocol to visual stimulus parameter changes
    Mathew S Salvaris
    BCI Group, Dept of Computer Science, University of Essex, United Kingdom
    Conf Proc IEEE Eng Med Biol Soc 2007:2528-31. 2007
  8. doi request reprint P300-based BCI mouse with genetically-optimized analogue control
    Luca Citi
    IMT Institute for Advanced Studies, 55100 Lucca, Italy
    IEEE Trans Neural Syst Rehabil Eng 16:51-61. 2008
  9. pmc 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
    Stacy Eltiti
    Department of Psychology, University of Essex, Colchester, Essex, United Kingdom
    Environ Health Perspect 115:1603-8. 2007
  10. doi request reprint Reaction-time binning: a simple method for increasing the resolving power of ERP averages
    Riccardo Poli
    Brain Computer Interfaces Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, 304 ESQ, UK
    Psychophysiology 47:467-85. 2010

Collaborators

Detail Information

Publications18

  1. pmc Novel feature modelling the prediction and detection of sEMG muscle fatigue towards an automated wearable system
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex Wivenhoe Park, Colchester CO4 3SQ, UK
    Sensors (Basel) 10:4838-54. 2010
    ..In classifying Transition-to-Fatigue and Fatigue results also show a significant improvement over the other features giving 8.14% (p < 0.05) on average of all compared features...
  2. ncbi request reprint A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs
    Francisco Sepulveda
    BCI Group, Dept of Computer Science, University of Essex, United Kingdom
    Conf Proc IEEE Eng Med Biol Soc 2007:5055-8. 2007
    ..Of the possible 21 task combinations, this task pair was in the top 5 (performance-wise) for 4 of the 5 subjects. This was also the case when class-separation was used as a criterion...
  3. doi request reprint Eigenbrains: The free vibrational modes of the brain as a new representation for EEG
    Riccardo Poli
    School of Computer Science and Electronic Engineering, University of Essex CO4 3SQ, Colchester, UK
    Conf Proc IEEE Eng Med Biol Soc 2010:6011-4. 2010
    ..Eigenbrains are compared to principal component analysis and independent component analysis to highlight differences and similarities...
  4. doi request reprint Mental task classification against the idle state: a preliminary investigation
    Matthew Dyson
    BCI Group, Dept of Computing and Electronic Systems, University of Essex, Colchester CO4 3SQ, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:4473-7. 2008
    ..An across task prevalence towards electrodes positioned in the left frontal hemisphere is observed when maximising classification accuracy...
  5. pmc An autonomous wearable system for predicting and detecting localised muscle fatigue
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
    Sensors (Basel) 11:1542-57. 2011
    ..The autonomous fatigue system was tested on five individuals showing 90.37% accuracy on average of correct classification and an error of 4.35% in predicting the time to when fatigue will onset...
  6. doi request reprint Classification effects of real and imaginary movement selective attention tasks on a P300-based brain-computer interface
    Mathew Salvaris
    Essex Brain Computer Interfaces Lab, School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
    J Neural Eng 7:056004. 2010
    ..5% accuracy after four trials (12.8 s), imaginary movement reaching 99.5% accuracy after five trials (16 s) and counting reaching 98.2% accuracy after ten trials (32 s)...
  7. ncbi request reprint Robustness of the Farwell & Donchin BCI protocol to visual stimulus parameter changes
    Mathew S Salvaris
    BCI Group, Dept of Computer Science, University of Essex, United Kingdom
    Conf Proc IEEE Eng Med Biol Soc 2007:2528-31. 2007
    ..Furthermore, the experiments have introduced some interesting changes to the visual layout of the Farwell & Donchin protocol...
  8. doi request reprint P300-based BCI mouse with genetically-optimized analogue control
    Luca Citi
    IMT Institute for Advanced Studies, 55100 Lucca, Italy
    IEEE Trans Neural Syst Rehabil Eng 16:51-61. 2008
    ..This filter and the features to be combined within it are optimised by an evolutionary algorithm...
  9. pmc 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
    Stacy Eltiti
    Department of Psychology, University of Essex, Colchester, Essex, United Kingdom
    Environ Health Perspect 115:1603-8. 2007
    ....
  10. doi request reprint Reaction-time binning: a simple method for increasing the resolving power of ERP averages
    Riccardo Poli
    Brain Computer Interfaces Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, 304 ESQ, UK
    Psychophysiology 47:467-85. 2010
    ..The method is applicable to within-subject and between-subject averages...
  11. doi request reprint Exploring multiple protocols for a brain-computer interface mouse
    Mathew Salvaris
    School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ, Colchester, UK
    Conf Proc IEEE Eng Med Biol Soc 2010:4189-92. 2010
    ..Results indicate that luminosity changes, the standard method of stimulation used in visual P300 BCI protocols, do provide the best performance of the variations presented here...
  12. pmc Do TETRA (Airwave) base station signals have a short-term impact on health and well-being? A randomized double-blind provocation study
    Denise Wallace
    Department of Psychology and Centre for Brain Science, University of Essex, Colchester, United Kingdom
    Environ Health Perspect 118:735-41. 2010
    ..In addition, a small subgroup in the population self-report being sensitive to electromagnetic fields (EMFs) in general...
  13. pmc A novel design of 4-class BCI using two binary classifiers and parallel mental tasks
    Tao Geng
    BCI Group, Department of Computing and Electronic Systems, University of Essex, Colchester, CO4 3SQ, UK
    Comput Intell Neurosci . 2008
    ..Offline analysis has shown that, in some subjects, the parallel BCI can generate a higher accuracy than a conventional 4-class BCI, although both of them have used the same feature selection and classification algorithms...
  14. pmc A review of non-invasive techniques to detect and predict localised muscle fatigue
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
    Sensors (Basel) 11:3545-94. 2011
    ....
  15. doi request reprint Programming an offline-analyzer of motor imagery signals via python language
    Luz María Alonso-Valerdi
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, Essex, UK
    Conf Proc IEEE Eng Med Biol Soc 2011:7861-4. 2011
    ..The analyzer recognized at least 63% of the MI signals corresponding to three classes. The results of the offline analysis showed a promising performance considering that the subjects have never undergone MI trainings...
  16. doi request reprint Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue
    Mohamed R Al-Mulla
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
    Med Eng Phys 33:411-7. 2011
    ..Results show that an evolved pseudo-wavelet improved the classification of muscle fatigue between 7.31% and 13.15% when compared to other wavelet functions, giving an average correct classification of 88.41%...
  17. doi request reprint An overview of BMIs
    Francisco Sepulveda
    Brain Computer Interfaces Group, Department of Computing and Electronic Systems, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ, United Kingdom
    Int Rev Neurobiol 86:93-106. 2009
    ..This review presents an overview of BMIs and its main elements, with a focus on why each stage is important for the overall performance of such systems...
  18. doi request reprint Delta band contribution in cue based single trial classification of real and imaginary wrist movements
    Aleksandra Vuckovic
    Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, UK
    Med Biol Eng Comput 46:529-39. 2008
    ..For classification of the imaginary movements, the results suggest that the type of movement and frequency band play an important role. Unexpectedly, the delta band was found to carry significant class-related information...