Feng WAN  萬 峰
Associate Professor

Academic Qualifications | Teaching | Research | Selected Publications | Professional Affiliations | Contact Details

Academic Qualifications
Teaching

B.Sc. Courses

  1. Quality Control (ELEC200)
  2. Probability and Statistics (ECEB252)
  3. Control Systems (ECEB320)
  4. Computer and Microprocessor Control Systems (ELEC409)
  5. Design Project I (ECEB410)
  6. Design Project II (ECEB420)
  7. Honours Project (HONR400)

M.Sc. and PhD Courses

  1. Introduction to Research (ELCE701)
  2. Advanced Topics in Control Systems (ELCE707)
  3. Expert Systems (ELCE709)
  4. Advanced Signal Processing and Analysis (ELCE801)
  5. Computational Intelligence and Intelligent Control (ELCE802)
  6. Advanced Topics in Electrical and Computer Engineering (ELCE818)
  7. Thesis (ELCE798)
  8. Thesis (ELCE899)

Research

Research Interests

Research Projects


Selected Publications

Selected Journal Papers

  1. “Reliable Detection of Implicit Waveform-Specific Learning in Continuous Tracking Task Paradigm”, Scientific Reports, 7(1):12333, Sep. 26, 2017.
  2. “Time Course of EEG Activities in Continuous Tracking Task: A Pilot Study”, Computer Assisted Surgery, S1:1-8, 2017.
  3. “An Exploratory Study of Intensive Neurofeedback Training for Schizophrenia”, Behavioural Neurology, Article ID: 6914216, pp. 1-7, 2017.
  4. “Adaptive Fourier Decomposition Based ECG Denoising”, Computers in Biology and Medicine, 77, pp. 195-205, 2016.
  5. “Alpha Neurofeedback Training Improves SSVEP-based BCI Performance”, Journal of Neural Engineering, 13(3), 036019, 2016.
  6. “Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults,” Frontiers in Human Neuroscience, 9:677, 2015.
  7. “Adaptive Time-Window Length Based on Online Performance Measurement in SSVEP-based BCIs,” Neurocomputing, vol. 149, pp. 93-99, 2015.
  8. “Dynamic Peripheral Visual Performance Relates to Alpha Activity in Soccer Players,” Frontiers in Human Neuroscience, 8:913, 2014.
  9. “Objective Evaluation of Fatigue by EEG Spectral Analysis in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces,” Biomedical Engineering Online, vol. 13, no. 28, 2014. (Highly accessed)
  10. “Resting Alpha Activity Predicts Learning Ability in Alpha Neurofeedback,” Frontiers in Human Neuroscience, 8:500, 2014.
  11. “Peripheral Visual Performance Enhancement by Neurofeedback Training,” Applied Psychophysiology and Biofeedback, vol. 38, no. 4, pp. 285-291, 2013.
  12. “15-nW Biopotential LPFs in 0.35-µm CMOS Using Subthreshold-Source-Follower Biquads with and without Gain Compensation,” IEEE Trans. on Biomedical Circuits and Systems, vol. 7, no. 5, pp. 690-702, 2013.
  13. “One-Unit Second Order Blind Identification (SOBI) with Reference for Short Transient Signals,” Information Sciences, vol. 227, pp. 90-101, 2013.
  14. “Individual Alpha Neural Feedback Training Effect on Short-Term Memory,” International Journal of Psychophysiology, vol. 86, pp. 83-87, 2012.
  15. “Robust Deterministic Annealing Based EM Algorithm,” IET Electronics Letters, vol. 48, no. 5, pp. 289-290, 2012.
  16. “A 0.83-µW QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-µm CMOS,” IEEE Trans. on Biomedical Circuits and Systems, vol. 6, no. 6, pp. 586-595, 2012.
  17. “A Fast Adaptive Model Reduction Method Based on Takenaka-Malmquist Systems,” Systems and Control Letters, vol. 61, no. 1, pp. 223-230, 2012.
  18. “Trial Pruning Based on Genetic Algorithm for Single-Trial EEG Classification,” Computers and Electrical Engineering, vol. 38, no. 1, pp. 35-44, 2012.
  19. “Frequency-Bandwidth-Tunable Powerline Notch Filter for Biopotential Acquisition Systems,” IET Electronics Letters, vol. 45, no. 4, pp. 197-199, 2009.
  20. “Further Study on the Parameter Convergence of Fuzzy Models in Nonlinear System Identifications,” Acta Automatica Sinica, vol. 33, no. 1, pp. 109-112, 2007.
  21. “How to Determine the Minimum Number of Fuzzy Rules to Achieve Given Accuracy: A Computational Geometric Approach to SISO Case,” Fuzzy Sets and Systems, vol. 150, pp. 199-209, 2005.
  22. “Nonlinear Discrete-Time System Identifications Based on Fuzzy Models: Algorithms and Performance Analyses,” Acta Automatica Sinica, vol. 30, no. 6, pp. 844-853, 2004.
  23. “Structured Neural Networks for Constrained Model Predictive Control,” Automatica, vol. 37, no. 8, pp. 1235-1243, 2001.

Recent Conference Papers

  1. “Adaptive Fourier Decomposition based R-peak Detection for Noisy ECG Signals”, in the Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju, Korea, July 11-15, 2017
  2. “Online Optimization of Visual Stimuli for Reducing Fatigue in SSVEP-based BCIs,” The 6th International Brain-Computer Interface (BCI) Meeting, May 30 – June 3, 2016, Pacific Grove, CA, USA.
  3. “Fatigue Evaluation through EEG Analysis Using Multi-Scale Entropy in SSVEP-based BCIs,” The 6th International Brain-Computer Interface (BCI) Meeting, May 30 – June 3, 2016, Pacific Grove, CA, USA.
  4. “Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs,” The 12th International Symposium on Neural Networks, ISNN 2015, Jeju Island, Korea, October 15-18, 2015. Also in X. Hu et al. (eds.): Advances in Neural Networks - ISNN 2015: Lecture Notes in Computer Science 9377, pp. 315-323, Springer International Publishing Switzerland 2015.
  5. “Fast Basis Searching Method of Adaptive Fourier Decomposition Based on Nelder-Mead Algorithm for ECG Signals,” The 12th International Symposium on Neural Networks, ISNN 2015, Jeju Island, Korea, October 15-18, 2015. Also in X. Hu et al. (eds.): Advances in Neural Networks - ISNN 2015: Lecture Notes in Computer Science 9377, pp. 305-314, Springer International Publishing Switzerland 2015.
  6. “Beta/theta Ratio Neurofeedback Training Effects on the Spectral Topography of EEG,” in the Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Aug. 23-29, 2015.
  7. “A Multi-Channel SSVEP-based BCI for Computer Games with Analogue Control,” 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Shenzhen, China, June 12-14, 2015.
  8. “Reliability and Sensitivity Analysis on the Center of Pressure Measures in Healthy Young Adults Using Nintendo Wii Balance Board,” 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Shenzhen, China, June 12-14, 2015.
  9. “Adaptive Fourier Decomposition Approach for Lung-Heart Sound Separation,” 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Shenzhen, China, June 12-14, 2015.
  10. “Beta/Theta Neurofeedback Training Effects in Physical Balance of Healthy People,” IUPESM World Congress on Medical Physics and Biomedical Engineering (IUPESM WC 2015), Toronto, Canada, June 7-12, 2015.
  11. “How Mental Strategy Affects Beta/Theta Neurofeedback Training,” IUPESM World Congress on Medical Physics and Biomedical Engineering (IUPESM WC 2015), Toronto, Canada, June 7-12, 2015.
  12. “Time Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface,” in H. Lijenstrom (ed.) Advances in Cognitive Neurodynamics (IV), pp. 157-160, Springer Science + Business Media Dordrecht 2015.
  13. “Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI,” in the Proceedings of the 10th International Symposium on Neural Networks (ISNN 2014), Hong Kong and Macao, China, Nov. 28-Dec. 1, 2014. Also in Advances in Neural Networks - ISNN 2014. Lecture Notes in Computer Science, Springer-Verlag, Berlin/Heidelberg, 2014.
  14. “Muscle and Electrode Motion Artifacts Reduction in ECG Using Adaptive Fourier Decomposition,” in the Proceedings of the 2014 International IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, Oct 5-8, 2014.
  15. “Ocular Artifact Removal from EEG Using ANFIS,” in the Proceedings of the 2014 IEEE World Congress on Computational Intelligence (WCCI 2014) - International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing, China, July 6-11, 2014.
  16. “Patterned Visual Stimuli for Enhancement of SSVEP-based BCI Performance,” in the Proceedings of the 5th IEEE EMBS International Conference on Neural Engineering (NER 2013), pp. 1405-1408, San Diego, CA, November 6-8, 2013.
  17. “Dynamic VEP Evaluation as a Prediction of Vision Fatigue Using Visual Stimulated Brain-Computer Interface,” in the Proceedings of the 4th International Conference on Cognitive Neurodynamics (ICCN 2013), Sigtuna, Sweden, June 23 - 27, 2013.
  18. “Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces,” in the Proceedings of the 10th International Symposium on Neural Networks (ISNN 2013), Dalian, China, July 4-6, 2013. Also in C. Guo, Z.-G. Hou, and Z. Zeng (Eds.): Advances in Neural NetworksISNN 2013. Lecture Notes in Computer Science, vol. 7952, Part II, pp. 276–283, Springer-Verlag, Berlin/Heidelberg, 2013.
  19. “An SSVEP-based BCI with Adaptive Time-Window Length,” in the Proceedings of the 10th International Symposium on Neural Networks (ISNN 2013), Dalian, China, July 4-6, 2013. Also in C. Guo, Z.-G. Hou, and Z. Zeng (Eds.): Advances in Neural NetworksISNN 2013. Lecture Notes in Computer Science, vol. 7952, Part II, pp. 305-314, Springer-Verlag, Berlin/Heidelberg, 2013.
  20. “Objective Indication of Fatigue in SSVEP-based BCI through EEG Spectral Analysis,” in the Proceedings of the 5th International Brain-Computer Interface (BCI) Meeting, June 3-7, 2013, CA, USA.
  21. “Phase Information Enhanced SSVEP-BCI Using a Canonical Correlation Analysis Neural Network,” in the Proceedings of the 5th International Brain-Computer Interface (BCI) Meeting, June 3-7, 2013, CA, USA.
  22. “Object Recognition Test in Peripheral Vision: A Study on the Influence of Object Color, Pattern and Shape,” in the Proceedings of the International Conference on Brain Informatics (BI 2012) - World Intelligence Congress 2012 (WIC 2012), Macau, Dec. 4-7, 2012. Also in F. Zanzotto, S. Tsumoto, N. Taatgen (Eds.): Brain Informatics: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (Book 7670), pp. 18-26, Springer-Verlag, Berlin/Heidelberg, 2012.
  23. “Flashing Color on the Performance of SSVEP Based Brain-Computer Interfaces,” in the Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), pp. 1819-1822, San Diego, CA, USA, Aug. 30-Sept. 2, 2012.
  24. “Applying Ensemble Learning Techniques to ANFIS for Air Pollution Index Prediction in Macau,” in the Proceedings of the Ninth International Symposium on Neural Networks (ISNN 2012), Shenyang, July 11-14, 2012. Also in Advances in Neural Networks – ISNN 2012, edited by J. Wang, G.G. Yen and M.M. Polycarpou, Lecture Notes in Computer Science, vol. 7367, Part I, pp. 509–516, Berlin/Heidelberg: Springer-Verlag, 2012.
  25. “Neurofeedback for the Treatment of Schizophrenia: Case Study,” in the Proceedings of the 2012 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2012), pp. 78-81, Tianjin, July 2-4, 2012.
  26. “Implementation of SSVEP Based BCI with Emotiv EPOC,” in the Proceedings of the 2012 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2012), pp. 34-37, Tianjin, July 2-4, 2012.
  27. “Portable Heart Rate Detector Based on Photoplethysmography with Android Programmable Devices,” in the Proceedings of the 35th International Conference on Telecommunications and Signal Processing (TSP 2012), pp. 605-609, 2012.
  28. “A Further Study on Short Term Memory improvement by Neurofeedback,” in the Proceedings of the IEEE International Conference on Biomedical Engineering and Biotechnology (iCBEB 2012), pp. 959-961, Macau, May 28-30, 2012.
  29. “A Wearable Wireless General Purpose Bio-signal Acquisition Prototype System for Home Healthcare,” in the Proceedings of the IEEE International Conference on Biomedical Engineering and Biotechnology (iCBEB 2012), pp. 1176-1179, Macau, May 28-30, 2012.
  30. “A Real-Time Heart Beat Detector and Quantitative Investigation Based on FPGA,” in the Proceedings of the 2011 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia 2011), pp. 65-69, Macau, Oct. 6-8, 2011.
  31. “A Snoring Classifier Based on Heart Rate Variability Analysis,” in the Proceedings of the 2011 Computing in Cardiology Conference, pp. 345-348, Hangzhou, China, Sept. 18-21, 2011.
  32. “An Ultra-Low-Power Filtering Technique for Biomedical Applications”, in the Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), pp. 1859-1862, Boston, MA, USA, Aug. 30-Sept. 3, 2011.
  33. “Entropy Penalized Approach for Mixture Models,” in the Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN 2011), pp. 2067-2073, San Jose, CA, USA, July 31-Aug. 5, 2011.
  34. “A Solution to Harmonic Frequency Problem: Frequency and Phase Coding-Based Brain-Computer Interface,” in the Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN 2011), pp. 2119-2126, San Jose, CA, USA, July 31-Aug. 5, 2011.
  35. “Generation of Takagi-Sugeno Fuzzy Systems with Minimum Rules in Modeling and Identification”, in the Proceedings of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1910-1917, Taipei, Taiwan, June 28-30, 2011.
  36. “An Online SSVEP-based Chatting System,” in the Proceedings of the International Conference of System Science and Engineering (ICSSE 2011), Macau, pp. 536-539, June 8-10, 2011.
  37. “Robust Learning of Mixture Models and Its Application on Trial Pruning for EEG Signal Analysis,” in the Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Workshop on Data Mining for Healthcare Management (DMHM 2011), Shenzhen, China, May 24-27, 2011. Also in New Frontiers in Applied Data Mining, edited by J. Bailey, Y.S. Koh and J. Luo, Lecture Notes in Computer Science, vol. 7104, pp. 408-419, Berlin/Heidelberg: Springer-Verlag, 2012.
  38. “Outlier Detection for Single-Trial for EEG Signal Analysis,” in the Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, pp. 478-481, Cancun, Mexico, April 27-May 1, 2011.
  39. “A High Rate Online SSVEP Based Brain-Computer Interface Speller,” in the Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, pp. 465-468, Cancun, Mexico, April 27-May 1, 2011.
  40. “A Comparison of Minimum Energy Combination and Canonical Correlation Analysis for Steady-State Visual Evoked Potentials Detection,” in the Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, pp. 469-472, Cancun, Mexico, April 27-May 1, 2011.

Professional Affiliations
Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-3055
Telephone: (853) 8822-4473
Fax: (853) 8822-2426
Email: fwan