Created by F. Sepulveda


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Publications



List last updated on Jan. 6, 2015

  Peer Reviewed Journal Papers

  1. M. R. Al-Mulla, F. Sepulveda (2015) ‘Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions’. Journal of Medical Systems, Vol. 39(1), article 167,                  http://dx.doi.org/10.1007/s10916-014-0167-1.

  2. M. R. Al-Mulla, F. Sepulveda (2014) ‘Novel pseudo-wavelet function for MMG signal extraction during dynamic fatiguing contractions’. Sensors, Special Issue "Biomedical Sensors and Systems", 14(6), 9489-9504.                   doi:10.3390/s140609489.

  3. L.M. Alonso-Valerdi, F. Sepulveda (2013) 'Development of a Simulated Living-Environment Platform: Design of BCI Assistive Software and Modeling of a Virtual Dwelling Place', Computer-Aided Design,  DOI information: 10.1016/j.cad.2013.07.005.

  4. A. Vuckovic, F. Sepulveda (2012)  ‘A Two-Stage Four-Class BCI Based on Imaginary Movements of the Left and the Right Wrist'. Medical Engineering & Physics, (doi:10.1016/j.medengphy.2011.11.001).

  5. Y. Khan, F. Sepulveda (2012) ‘EEG single-trial classification of different motor imagery tasks using measures of dispersion and power in frequency bands’.  International Journal of Biomedical Engineering and Technology, vol. 8 (4):343-356.

  6. D. Wallace, S. Eltiti, A. Ridgewell, K. Zougkou, R. Russo, F. Sepulveda, E. Fox (2011) ‘Cognitive and physiological responses in humans exposed to a TETRA base station signal in relation to perceived electromagnetic hypersensitivity’. Bioelectromagnetics,Vol. 33(1): 23-29.

  7. M. R. Al-Mulla, F. Sepulveda, M. Colley (2011)  ‘An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue’. Sensors, 11(2): 1542-1557; doi:10.3390/s110201542.

  8. M. R. Al-Mulla, F. Sepulveda, M. Colley (2011) ‘A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue’. Sensors 11(4): 3545-3594; doi:10.3390/s110403545.

  9. M. R. Al-Mulla, F. Sepulveda, M. Colley (2011) ‘Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue’. Med Eng Phys, 33(4):411-7.

  10. Y. Khan, F. Sepulveda (2011) ‘Wrist movement discrimination in single-trial EEG for Brain–Computer Interface using band powers’.  International Journal of Biomedical Engineering and Technology, accepted.

  11. M. Salvaris, F. Sepulveda (2010) ‘Classification effects of real and imaginary movement selective attention tasks on a P300-based brain--computer interface ‘.  Journal of Neural Engineering, 7 056004, doi: 10.1088/1741-2560/7/5/056004.

  12. M. Dyson, F. Sepulveda, J.Q. Gan (2010) 'Localisation of cognitive tasks used in EEG-based BCIs'. Clinical Neurophysiology, 121(9):1481-1493.

  13. M.R. Al-Mulla, F. Sepulveda (2010) 'Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System'.  Sensors, 10: 4838 - 4854, doi: 10.3390/s100504838.

  14. R. Poli, L. Citi, C. Cinel, F. Sepulveda (2010)  'Reaction-time Binning: a Simple Method for Increasing the Resolving Power of ERP Averages'.  Psychophysiology, 47(3):467-85. DOI: 10.1111/j.1469-8986.2009.00959.x.

  15. Y. Khan, F. Sepulveda (2010) 'Brain Computer Interface for single-trial EEG classification for wrist movement imagery using spatial filtering in the Gamma band'.  IET Signal Processing, 4(5):510 - 517.

  16. D. Wallace, S. Eltiti, A. Ridgewell, K. Garner, R. Russo, F. Sepulveda, S. Walker, T Quinlan, S. Maung, R. Deeble, E. Fox (2010) “Do TETRA (Airwave) base station signals have a short-term impact on health and well-being”. Environmental Health Perspectives, Jan. 2010, doi:10.1289/ehp.0901416.

  17. M. Salvaris, F. Sepulveda (2009) 'Visual modifications on the P300 speller BCI paradigm '.  Journal of Neural Engineering, 6 046011 (8pp)   doi: 10.1088/1741-2560/6/4/046011

  18. R. . Poli, L. Citi, F. Sepulveda, C. Cinel (2009) 'Analogue Evolutionary Brain Computer Interfaces'.  IEEE Computational Intelligence Magazine, 4(4): 27-31.

  19. C.Menon,C.deNegueruela,J.delR.Millan, O.Tonet, F.Carpi, M.Broschart, P.Ferrez, A.Buttfield, F.Tecchio, F.Sepulveda, L.Citi, C.Laschi, M.Tombini, P.Dario, P.M.Rossini, D.D.Rossi, (2009) 'Prospects of brain–machine interfaces for space system control'. Acta Astronautica 64(4)448–456.

  20. C. N. Gupta, Y. Khan, R. Palaniappan, F. Sepulveda (2009) 'Wavelet Framework for Improved Target Detection in Oddball Paradigms Using P300 and Gamma Band Analysis'.  Int. Journal of Biomedical Soft Computing and Human Sciences, to appear.

  21. S. Eltiti, D. Wallace, A. Ridgewell, K. Zougkou, R. Russo, F. Sepulveda, E. Fox (2009) 'Short-TermExposure to Mobile Phone Base Station Signals Does Not Affect Cognitive Functioning or Physiological Measures in IndividualsWho Report Sensitivity to Electromagnetic Fields and Controls'.  Bioelectromagnetics, 30: 556-263.

  22. T. Geng, J.Q. Gan, M. Dyson, C.S.L. Tsui, F. Sepulveda  (2008) 'A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks'.  Computational Intelligence and Neuroscience,vol. 2008, Article ID 437306.

  23. A. Vuckovic, F. Sepulveda (2008) 'Delta Band Contribution in Cue Based Single Trial Classification of Real and Imaginary Wrist Movements". Medical & Biological Engineering & Computing, vol. 46(6):529-539.

  24. A. Vuckovic, F. Sepulveda (2008) 'Quantification and Visualisation of Differences between Two Motor Tasks Based on Energy Density Maps for BCI Applications'.    Clin. Neurophys.  Vol. 119(2): 446-458.

  25. L. Citi, R. Poli, C. Cinel, F. Sepulveda (2008) 'P300-based BCI Mouse with Genetically-Optimised Analogue Control'.  IEEE Trans. Neur. Systems and Rehab. Eng., vol. 16(1):51 - 61.

  26. S.M. Zhou, J.Q., Gan, F. Sepulveda (2008) 'Classifying mental tasks based on features of higher-order statistics from EEG signals in brain computer interface'.  Information Sciences vol. 178, no. 6, pp.1629-164.

  27. S. Eltiti, D. Wallace, A. Ridgewell, K. Zougkou, R. Russo, F. Sepulveda, D. Mirshekar, P. Rasor, R. Deeble, E. Fox  (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.'  Environ Health Perspect. 115 (11):1603-1608.

  28. E. Leon, G. Clarke, V. Callaghan, F. Sepulveda  (2006) A user-independent real-time emotion recognition system for software agents in domestic environments.  Applications of Artificial Intelligence, vol. 20(3): 337-345.

  29. E. Leon, G. Clarke, V. Callaghan, F. Sepulveda (2004) 'Real-time detection of emotional changes for inhabited environments'.  Computers & Graphics Journal - Special Issue on Pervasive Computing and Ambient Intelligence, 28(5): 635-642.

  30. L.Citi, R. Poli, F. Sepulveda (2004) 'An Evolutionary Approach To Feature Selection And Classification In P300-Based BCI'. The 2nd International Brain-Computer Interface Workshop and Training Course 2004, Graz, Biomedizinische Technik, vol. 49, pp. 41-42.

  31. M. Hansen, M.K. Haugland, and F. Sepulveda (2003) 'Feasibility of Using Peroneal Nerve Recordings for Deriving Stimulation Timing in a Foot Drop Correction System'. Neuromodulation,  6 (1):68-77.

  32. W. Jensen, T. Sinkjaer, and F. Sepulveda (2002). 'Improving Signal Reliability for On-line Joint Angle Estimation from Nerve Cuff Recordings of Muscle Afferents in Rabbits", IEEE Trans. in Neural Systems and Rehab. Engineering, 10(3):133-139.

  33. S. Micera, W. Jensen, F. Sepulveda, R. Riso, T. Sinkjaer (2001). 'Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model'. IEEE Trans. in Biomedical Engineering, 48(7):787 -794.

  34. F. Sepulveda M. H. Granat, and A. Cliquet Jr. (1998). ‘Gait Restoration in a spinal cord injured subject via neuromuscular electrical stimulation controlled by an artificial neural network’.  Int. J. Artif. Org. , 21(1): 49-62.

  35. F. Sepulveda, M. H. Granat, and A. Cliquet (1997). ‘Two artificial neural systems for generation of gait swing by means of neuromuscular electrical stimulation’. Medical Engineering and Physics, 19(1): 21-28.

  36. F. Sepulveda and A. Cliquet (1995). ‘An artificial neural system for closed-loop control of locomotion produced via neuromuscular electrical stimulation’. Artificial Organs, 19(3): 231-237.

  37. F. Sepulveda, D.M. Wells, and C.L. Vaughan (1993). ‘A neural network representation of electromyography and joint dynamics in human gait’. J. Biomech., 26(2): 101-109.

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  Book Chapters

  1. F. Sepulveda (2011). ‘Brain-actuated control of robot navigation’.  Chp. 9, in A. Barrera (Ed.), Advances in Robot Navigation, Intech Open Access, ISBN 979-953-307-007-9.

  2. M. Al-Mulla, F. Sepulveda, M. Colley (2011). ‘sEMG Techniques to Detect and Predict Localised Muscle Fatigue‘. In M. Schwartz (Ed.), ‘Electromyography / Book 1’, Oct. 2011, Intech Open Access Pub., ISBN 979-953-307-061-1.

  3. F. Sepulveda (2009) 'An overview of BMIs'.  Chapter in L. Rossini, D. Izzo and L. Summerer, editors: 'Brain-machine interfaces for space applications: Enhancing astronaut capabilities'. International Review of Neurobiology, Vol. 86, Burlington: Academic Press, 2009, pp. 93-106. ISBN: 978-0-12-374821-8. 

  4. R. Poli, C. Cinel, L. Citi and F. Sepulveda (2007) 'Evolutionary Brain Computer Interfaces'. Applications of Evolutionary Computing, Springer: Berlin, pp.301-310. DOI: 10.1007/978-3-540-71805-5_33

  5.  F. Sepulveda (2003). 'Artificial Neural Network Techniques in Human Mobility Rehabilitation'. Invited chapter in Computer Techniques in Medical and Biotechnology Systems, Edited by C.T. Leondes (UCLA), Kluwer Academic Pub., Amsterdam, pp. 313-348

  6. F. Sepulveda (2000). 'Deficientes fisicos competindo no mercado de trabalho com o auxilio de proteses neurais para a reabilitacao motora' (Translation: “Disabled people competing in the job market with the aid of neural motor prostheses”). Invited chapter in 'Mobilidade, Comunicacao e Educacao: Desafios a Acessibilidade' (Translation: “Mobility, Communication, and Education: Accessibility Challenges”), (eds.) A.A.F. Quevedo, J.M. de Oliveira, and M.T. Egler-Mantoan. WTA Editora, Rio de Janeiro, Brazil, pp. 53-60.

  7. F. Sepulveda, and A. Cliquet (1994). ‘A simple auto-adaptive neural circuit for control of human gait: A simulation based on back-propagation’. In Intelligent Engineering Through Artificial Neural Networks, Vol. 4, (Eds.) C.H. Dagli, B.R. Fernandez, J. Gosh, R.T.S. Kumara. ASME Press, NY, pp. 585-590.

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  Peer Reviewed Papers in Conference Proceedings

  1. M.R. Al-Mulla, F. Sepulveda (2010) ‘A Novel Feature Assisting in the Prediction of sEMG Muscle Fatigue Towards Wearable Autonomous System’. 6th IEEE International Mixed-Signals, Sensors, and Systems Test Workshop" (IMS3TW'10), Montpellier, France, June 7-9 2010, 4pp. doi: 10.1109/IMS3TW.2010.5503001.

  2. M.R. Al-Mulla, F. Sepulveda (2010) ‘Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature'. IEEE International Conference on Autonomous and Intelligent Systems (AIS 2010), Povoa de Varzim, Portugal, June 21-23 2010, 6pp.

  3. M.S. Salvaris, C. Cinel, R. Poli, L. Citi, F. Sepulveda (2010) ‘Exploring Multiple Protocols for a Brain-Computer Interface Mouse’.  32nd Annual International IEEE EMBS Conference, August 31 - September 4, 2010, Buenos Aires, Argentina, 1: 4189 - 4192.

  4. R. Poli, L. Citi, M.S. Salvaris, C. Cinel, F. Sepulveda (2010) ‘Eigenbrains: The Free Vibrational Modes of the Brain As a New Representation for EEG’.  32nd Annual International IEEE EMBS Conference, August 31 - September 4, 2010, Buenos Aires, Argentina, Vol. 1:6011-6014.

  5. A. Kattan, M.R. Al-Mulla, F. Sepulveda, R. Poli (2009) 'Detecting Localised Muscle Fatigue during Isometric Contraction'.  International Conference on Evolutionary Computation ICEC2009, Madeira, in press.

  6. M. R. Al-Mulla, F. Sepulveda, M. Colley and A. Kattan (2009), "Classification of localized muscle fatigue with Genetic Programming on sEMG during isometric contraction". 31st IEEE Engineering in Medicine and Biology Conference, Minneapolis, in press.

  7. M. R. Al-Mulla, F. Sepulveda, M. Colley (2009) "Statistical Class Separation using sEMG Features Towards Automated Muscle Fatigue Detection and Prediction". CISP'09/BMEI'09, The 2nd International Conference on Image and Signal Processing and The 2nd International Conference on BioMedical Engineering and Informatics, Tianjin, China, in press.

  8. M. Salvaris and F. Sepulveda, (2009) Perceptual Errors in the Farwell and Donchin Matrix Speller. Proceedings of the 4th International IEEE/EMBS Conference on Neural Engineering, pages 275-278.

  9. M. Dyson, F. Sepulveda, J.Q. Gan, and S.J. Roberts, (2009) 'Sequential classification of mental tasks vs. idle'. 4th International IEEE EMBS Conf. on Neural Engineering, Antalya, Turkey, pp. 351-354.

  10. M. Salvaris and F. Sepulveda (2009) 'Wavelets and Ensemble of FLDs for P300 Classifcation'. 4th International IEEE/EMBS Conference on Neural Engineering, Antalya, pages 339-342.

  11. A. Vuckovic, F. Sepulveda (2008) 'A four-class BCI based on motor imagination of the right and the left hand wrist '. First International Symposium on Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL '08.  Aalborg, DK, 25-28 Oct. 2008, 4 pages. Digital Object Identifier   10.1109/ISABEL.2008.4712628

  12. M. Dyson, F. Sepulveda, and J.Q. Gan, (2008) “Mental task classification against the idle state: A preliminary investigation,” 30th Annual International Conference of IEEE Engineering in Medicine and Biology Society, EMBC'08, Vancouver, Canada, 2008, pp. 4473-4477.

  13. M. Salvaris and F. Sepulveda (2008), 'Classifying P300 paradigm data with Fisher linear discriminant and discrete wavelet transform'. Proceedings of the 4th International BCI Workshop and Training Course, Graz, pages 38-43.

  14. M. Dyson, T. Balli, J.Q. Gan, R. Palaniappan, and F. Sepulveda (2008) 'Approximate entropy for EEG-based movement detection'. The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp.110-115.

  15. A. Agapitos, M. Dyson, S. Lucas, F. Sepulveda (2008) 'Learning to Recognise Mental Activities: Genetic Programming of Stateful Classifiers for Brain-Computer Interfacing'.   GECCO 2008 Proceedings of the Genetic and Evolutionary Computation Conference, Atlanta.

  16.  Y.U. Khan, F. Sepulveda, M. Shanir P.P., Wavelet based wrist movement analysis using power distribution in multi-resolution framework in brain computer interface (BCI), Proc. Conference on Computer Science and Information Technology, Ghaziabad, Feb 2-3, 2008.

  17. F. Sepulveda, M. Dyson, J.Q. Gan, C.S. Tsui (2007) A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs. 29th IEEE Engineering in Medicine and Biology Conference, Lyon, France, August 23-26, pp. 5055 - 5058.

  18. M. Salvaris, F. Sepulveda (2007) Robustness of the Farwell & Donchin BCI protocol to visual stimulus parameter changes. 29th IEEE Engineering in Medicine and Biology Conference, Lyon, France, August 23-26

  19. F. Sepulveda, I. Navarro (2007) Classification of Wrist Movement Intentions for Brain-Computer Interfaces. IET Irish Signals and Systems Conference 2007, Derry, Sept. 13-14.

  20. L. Damjanovic, F. Sepulveda, M. Mayer (2007) 'Electrophysiological correlates of anxiety in unconscious face processing'  Proceedings of The Experimental Psychology Society 2007, Edinburgh.

  21. A. Vuckovic, F. Sepulveda (2006) EEG gamma band information in cue-based single trial classification of four movements about the right wrist, Challenging Brain-Computer Interfaces, MAIA Workshop, Rome, Italy, Nov. 9-10, 2006, p. 54.

  22. A. Vuckovic and F. Sepulveda (2006) 'EEG-based eight class, single trial classification of imaginary wrist movements'. IEEE Biomedical Circuits and Systems Conference, 2006. BioCAS '06, London, Nov. 29 2006-Dec. 1 2006 Page(s):77 - 80.

  23. T. Geng, J.Q. Gan, M. Dyson, C.S.L. Tsui, and F. Sepulveda, "EEG-based synchronous parallel BCI," Challenging Brain-Computer Interfaces, MAIA Workshop, Rome, Italy, Nov. 9-10, 2006, p. 41.

  24. A. Vuckovic, F. Sepulveda (2006) EEG Single-Trial Classification of Four Classes of Imaginary Wrist Movements Based On Gabor Coefficients. Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, Graz, Austria, September 22-23. In press.

  25. C.S.L Tsui, A. Vuckovic, R. Palaniappan, F. Sepulveda, and J.Q. Gan, "Narrow band spectral analysis for onset detection in asynchronous BCI, 3rd International Brain-Computer Interface Workshop and Training Course, Graz, Austria, September 22-23, 2006.

  26. B. Hubais, F. Sepulveda, I. Navarro (2006) Crossectional Investigation of Wrist Movement Intention Classification in EEG Signals. 3rd International Brain-Computer Interface Workshop and Training Course, Graz, Austria, September 22-23.

  27. C. Menon, C. Negueruela, J. del Millan, O. Tonet, F. Carpi, M. Broschar, P. Ferrez, A. Buttfield, P. Dario, L. Citi, C. Laschi, M. Tombini, F. Sepulveda, R. Poli, F. Tecchio, P. Rossini, D. de Rossi. (2006) Prospective on Brain-Machine Interfaces for Space System Control. 57th Astronautical Congress, Spain, Oct. 2-6, 2006.

  28. I. Navarro, F. Sepulveda, B. Hubais (2005)  ''A Comparison of Time, Frequency and ICA Based Features and Five Classifiers for Wrist Movement Classification in EEG Signals'. 27th Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai.

  29. E. Leon, G. Clarke, F. Sepulveda, V. Callaghan (2005)  'Real-time Physiological Emotion Detection Mechanisms: Effects of Exercise and Affect Intensity' 27th Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai.

  30. F. Sepulveda, M. Meckes, B.A. Conway (2004) 'Cluster Separation Index Suggests Usefulness of Non-Motor EEG Channels in Detecting Wrist Movement Direction Intention'. Proceedings of the 2004 IEEE Conference on Cybernetic and Intelligent Systems, paper FM6.1.

  31. F. Sepulveda, J.B. Huber (2004) Descriptive vs. Machine-Learning Models of Vastus Lateralis in FES-Induced Knee Extension. Proceedings of the 2004 IEEE Conference on Cybernetic and Intelligent Systems, FM7.

  32. E. Leon, G. Clarke, F. Sepulveda, V. Callaghan (2004) Neural Network-Based Improvement in Class Separation of Physiological Signals. Proceedings of the 2004 IEEE Conference on Cybernetic and Intelligent Systems, paper FM4.1.

  33.  M.Meckes, F. Sepulveda, B.A. Conway (2004) '1st Order Class Separability using EEG-Based Features for Classification of Wrist Movements with Direction Selectivity'.  Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco.

  34.   S.M. Zhou, J.Q. Gan, F. Sepulveda (2004) 'Using Higher-Order Statistics from EEG Signals for Developing Brain-Computer Interface (BCI) Systems'. Proceedings of the 2004 UK Workshop on Computational Intelligence, 6-8 September 2004, Loughborough University.

  35.  E. Leon, G. Clarke, F. Sepulveda, V. Callaghan  (2004) 'Optimised Attribute Selection for Emotion Classification Using Physiological Signals'.  Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco.

  36. L. Citi, R. Poli, C. Cinel, F. Sepulveda  (2004)  'Feature Selection and Classification in Brain Computer Interfaces by a Genetic Algorithm'.  Proceedings of the Genetic and Evolutionary Computation Conference - GECCO 2004, Seatle.

  37.  H. Lakany, F. Sepulveda, J. Gan, and H. Hagras (2002)  'Computer aided independence for the elderly and people with multiple disabilities'. Workshop on Grand Challenges for Computing Research, sponsored by the UK Computing Research Committee, with support from EPSRC, National e-Science Centre, Edinburgh, 24-26 November 2002.

  38.  F. Sepulveda, W. Jensen, T. Sinkjaer (2001) 'First Insights on Muscle Afferent Nerve Signals and Neural Networks for Closed-Loop Control of FES-Generated Rabbit Ankle Movements'. Proceedings of the 7th Vienna International Workshop on Functional Electrical Stimulation, Austria, pp. 152-155.

  39.  F. Sepulveda, W. Jensen, T. Sinkjaer (2001) 'Using Nerve Signals from Muscle Afferent Electrodes to Control FES-Based Ankle Motion in a Rabbit'. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, CD-ROM, Theme index: 3.5.1.

  40.  M.C. Santa-Cruz, R. Riso, F. Sepulveda (2001) 'Optimal Selection of Time Series Coefficients for Wrist Myoelectric Control Based on Intramuscular Recordings'. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul,  CD-ROM, Theme index: 3.6.1.

  41.  F. Sepulveda, A. Buskgaard, M.V. Fjorback, J.B. Huber, K. Jensen, R. Saigal (2001) 'Wavelet Packet Analysis for Angular Data Extraction from Muscle Afferent Cuff Electrode Signals'. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, CD-ROM, Theme index: 3.6.1.

  42.  W. Jensen, R. Riso, F. Sepulveda, T. Sinkjaer (2001) Angular Resolution and Working Ranges of Flexion Extension Information In Whole Nerve Cuff Recordings of Muscle Afferent Activity'. Proceedings of the 6th Annual Conference of the International Functional Electrical Stimulation Society, Cleveland, Ohio, pp. 205-207.

  43.  F. Sepulveda (2000) 'Simulating FES Gait: Radial Basis Function Networks vs. Neuro-Fuzzy Inference and Recurrent Neural Networks with Plant Wear Factors'. 2000 Congress of The International FES Society, Aalborg, pp. 433-435.

  44.  M.C. Santa-Cruz, R. Riso, F. Sepulveda (2000) 'Evaluation of Neural Network Parameters Towards Enhanced Recognition of Naturally Evoked EMG for Prosthetic Hand Grasp Control'. 2000 Congress of The International FES Society, Aalborg, pp. 436-439.

  45.  W. Jesen, R. Riso, F. Sepulveda (2000) 'On-line Joint Angle Estimation Based on Nerve Cuff Recordings from Muscle Afferents'. 2000 Congress of The International FES Society, Aalborg, pp. 376-377.

  46.  A. Patla, F. Sepulveda, A. Quevedo, M. Hollands, K. Soerensen (2000) 'Visual Sampling Characteristics During Quiet Standing and Walking in an Individual with Peripheral Neuropathy'. 2000 Congress of The International FES Society, Aalborg, pp. 113-116.

  47.  A.A.F. Quevedo, A. Patla, F. Sepulveda, M. Hollands, K.L. Sorensen (2002) 'Carasteristicas da amonstragem visual na manutencao postural em um individuo portador de neuropatia periferica' (Translation: "Visual sampling characteristics during postural maintenance in an individual with peripheral neuropathy").  Proceedings of the XVII Congresso Brasileiro de Engenharia Biomedica 2000, pp. 108-111.

  48.  F. Sepulveda (2000) 'Nonparametric artificial neural network models for control of FES-based gait: a simulation approach'. In: 6th Internet World Congress for Biomedical Sciences, INABIS, February 14-25. Invited Symposium: "The role of FES assisted movements in the rehabilitation of motor impaired persons". Presentation # 65.  Available on CD-ROM and the Internet.

  49.  F. Sepulveda (1999) 'Simulating fatigue and habituation in FES-based gait restoration: Incorporating plant wear factors to an artificial neural controller'. 1999 Congress of The International FES Society, Sendai, Japan, pp. 287-289.

  50.  S. Micera, W. Jensen, F. Sepulveda, R.R. Riso, T. Sinkjaer (1999) 'A fuzzy model for extraction of angular position information from whole nerve cuff muscle afferent recordings: preliminary results'. 1999 Congress of The International FES Society, Sendai, Japan, pp. 299-302.

  51. F. Sepulveda (1999) 'The little neural network that could - or, could it? A critical view of neural networks in human locomotion studies'. Invited abstract, The 17th Congress of the International Society of Biomechanics, Symposium on Computer Simulations in Human Locomotion Studies, Calgary, Canada, pp. 50.

  52.  F. Sepulveda (1999) 'Current technology is the limiting factor in FES-based gait rehabilitation: The case for increased research on implanted electrodes'. Invited paper, 1999 Symposium of the International Society for Postural and Gait Research, session on FES Systems for Locomotion and Posture, Waterloo, Canada.

  53.  M. C. Santa-Cruz, R. R. Riso, F. Sepulveda, B. Lange (1999) ‘Natural control of wrist movements for myoelectric prostheses’. Proceedings of the First Joint BMES/EMBS Conference, Atlanta, GA, USA, vol. 1: 642.

  54. M. C. Santa-Cruz, R. R. Riso, B. Lange, F. Sepulveda (1999) ‘Natural control of key grip and precision grip movements for a myoelectric prostheses’. Proceedings of the 1999 Myoelectric Control Conference, MEC99, Fredericton, Canada.

  55.  F. Sepulveda, M.H. Granat, A. Cliquet Jr. (1998). 'An automatic adaptive NMES control system for gait swing restoration In subjects with severe spinal cord lesion'. III International Congress on Motor Rehabilitation, Águas de Lindóia, Brazil. Revista Bras. de Fisioterapia, Vol. 3 (Suplemento), pp. 14.

  56.  F. Sepulveda, M.H. Granat, A. Cliquet Jr. (1998). 'An automatic on-line learning NMES system for gait swing restoration'. 6th Vienna International Workshop on Functional Electrical Stimulation, Austria, pp. 169-172.

  57.  F. Sepulveda, M.H. Granat, A. Cliquet Jr. (1998). 'An adaptation strategy for on-line learning in artificial neural control of gait generation by means of NMES'. 6th Vienna International Workshop on Functional Electrical Stimulation, Austria, pp. 321-324.

  58.  A.A.F. Quevedo, F. Sepulveda, M.C.F. Castro, F.X. Sovi, P. Nohama, A. Cliquet Jr (1997). ‘Development of instrumentation for upper and lower limb movement restoration’. Proceedings of the 9th International Conference on Biomedical Engineering, pp. 682-684, Singapore.

  59.  A.A.F. Quevedo, F. Sepulveda, M.C.F. Castro, F.X. Sovi, P. Nohama, A. Cliquet Jr (1997). ‘Development of control strategies for restoring function to paralyzed upper and lower limbs’. Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, vol.(5):1946-1949, Chicago, USA.

  60.  F. Sepulveda, M.H. Granat, A. Cliquet Jr. (1997). ‘Gait swing generation by means of neuromuscular electrical stimulation controlled by an artificial neural network’. XIth World Congress of the International Society for Artificial Organ, Artif. Organs, 21(6)-572.

  61.  F. Sepulveda, A. Cliquet Jr. (1997). ‘An automatic on-line learning scheme for control of gait swing generated by neuromuscular electrical stimulation‘. World Congress on Medical Physics and Biomedical Engineering, Nice, France, Medical & Biological Engineering and Computing, 35, Supplement Part 1: 314.

  62.  F. Sepulveda, M.H. Granat, A. Cliquet Jr. (1997). ‘On-line learning for artificial control of gait generation: Adaptation strategies for artificial neural networks‘. World Congress on Medical Physics and Biomedical Engineering, Nice, France, Medical & Biological Engineering and Computing, 35, Supplement Part 1: 506.

  63.  E.C. Carrara, F. Sepulveda, M.C.F. Castro, A. Cliquet Jr (1997). ‘A novel strain-gauge device for monitoring interphalanx flexion/extension‘. World Congress on Medical Physics and Biomedical Engineering, Nice, France, Medical & Biological Engineering and Computing, 35, Supplement Part 1: 313.

  64.  F. Sepulveda, M.H. Granat, A. Cliquet Jr (1996). ‘A Computer-Based Artificial Neural Network For Gait Restoration By Means Of Neuromuscular Electrical Stimulation’, XXIII Congress of the European Society for Artificial Organs ESAO, Poland, Int. J. Artif. Org. 19(9) : 559.

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  66.  F. Sepulveda, A. Cliquet (1995). ‘Gait generation via neuromuscular electrical stimulation controlled by an artificial neural network’. XVth Congress of the International Society of Biomechanics, Jyvaskyla, Finland, pp. 831-832.

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  69.  F. Sepulveda, A. Cliquet Jr. (1994). ‘A neural algorithm for closed-loop control of NMES-generated gait’. 1994 World Congress on Medical Physics and Biomedical Engineering, Rio de Janeiro, Brazil , Physics in Medicine and Biology, 39a: 10.

  70.  J.M. Novo, F. Sepulveda, A. Cliquet, L. Gallo (1994). ‘Handgrip strength evaluation in tetraplegics’. 1994 World Congress on Medical Physics and Biomedical Engineering, Rio de Janeiro, Brazil , Physics in Medicine and Biology, 39b: 870.

  71.  F. Sepulveda, A. Cliquet (1994). ‘Acquisition of a neural circuit for control of gait: A simulation with back-propagation’. Proceedings of the V International Symposium on Biomedical Engineering, Santiago de Compostela, Spain, pp. 21-22.

  72.  C.L. Vaughan, F. Sepulveda, D.M. Wells (1991). ‘A neural network simulation of human locomotion, 3rd International Symposium on Computer Simulations in Biomechanics, Perth, Australia, pp. 26-27.

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