F. Wan

发表

Implementation of SSVEP based BCI with Emotiv EPOC

Feng Wan, Pui-In Mak, Peng Un Mak, 2012, 2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings.

Individual alpha neurofeedback training effect on short term memory.

Agostinho C. Rosa, F. Wan, P. Mak, 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Robert T. Thibault, Jarrod A. Lewis-Peacock, René J. Huster, 2019, Brain : a journal of neurology.

Reliability and sensitivity analysis on the center of pressure measures in healthy young adults using Nintendo Wii balance board

F. Wan, Yong Hu, Wenya Nan, 2015, 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

State-of-the-art non-invasive brain–computer interface for neural rehabilitation: A review

Feng Wan, Yong Hu, Miaomiao Zhuang, 2020 .

Effect of brain alpha oscillation on the performance in laparoscopic skills simulator training

F. Wan, J. Pu, Yong Hu, 2020, Surgical Endoscopy.

Dynamic peripheral visual performance relates to alpha activity in soccer players

Chin Ian Lou, F. Wan, M. Vai, 2014, Front. Hum. Neurosci..

Time course of EEG activities in continuous tracking task: A pilot study.

F. Wan, Wenya Nan, Frank Zhu, 2016, Technology and health care : official journal of the European Society for Engineering and Medicine.

Peripheral Visual Performance Enhancement by Neurofeedback Training

Chin Ian Lou, Agostinho C. Rosa, F. Wan, 2013, Applied Psychophysiology and Biofeedback.

Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0

Feng Wan, Fali Li, Daqing Guo, 2019, IEEE Transactions on Biomedical Engineering.

Individual variation in alpha neurofeedback training efficacy predicts pain modulation

F. Wan, R. C. Kadosh, W. Peng, 2020, NeuroImage: Clinical.

Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs

Feng Wan, Ze Wang, Limin Yang, 2015, ISNN.

Alpha neurofeedback training improves SSVEP-based BCI performance

Feng Wan, Mang I Vai, Chi Man Wong, 2016, Journal of neural engineering.

Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation

F. Wan, Wenya Nan, Frank Zhu, 2020, Journal of neural engineering.

Adaptive Fourier decomposition based ECG denoising

Feng Wan, Ze Wang, Liming Zhang, 2016, Comput. Biol. Medicine.

Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces

Feng Wan, Yong Hu, Chi Man Wong, 2014, Biomedical engineering online.

Peripheral Visual Performance Enhancement by Neurofeedback Training

Chin Ian Lou, Agostinho C. Rosa, F. Wan, 2013, Applied Psychophysiology and Biofeedback.

A 0.83-$\mu {\rm W}$ QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- $\mu{\rm m}$ CMOS

Feng Wan, Pui-In Mak, Cheng Dong, 2012, IEEE Transactions on Biomedical Circuits and Systems.

Predicting individual decision-making responses based on the functional connectivity of resting-state EEG

Feng Wan, Peng Xu, Fali Li, 2019, Journal of neural engineering.

Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-Based BCI

Feng Wan, Ze Wang, Janir Nuno da Cruz, 2014, ISNN.

Changes of EEG phase synchronization and EOG signals along the use of steady state visually evoked potential-based brain computer interface

Feng Wan, Yong Hu, Peng Xu, 2020, Journal of neural engineering.

Comparison of Different Classification Methods for EEG-Based Brain Computer Interfaces : A Case Study

Feng Wan, Peng Un Mak, Boyu Wang, 2022 .

EEG signals classification for brain computer interfaces based on Gaussian process classifier

Feng Wan, Peng Un Mak, Mang I Vai, 2009, 2009 7th International Conference on Information, Communications and Signal Processing (ICICS).

Classification of Imagery Movement Tasks for Brain-Computer Interfaces Using Regression Tree

Feng Wan, Chiman Wong, F. Wan, 2009, ISNN.

Resting alpha activity predicts learning ability in alpha neurofeedback

Feng Wan, Wenya Nan, Mang I. Vai, 2014, Front. Hum. Neurosci..

Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults

Feng Wan, Mang I Vai, Wenya Nan, 2015, Front. Hum. Neurosci..

Neurofeedback for the treatment of schizophrenia: Case study

Agostinho C. Rosa, Feng Wan, Pui-In Mak, 2012, 2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings.

One-unit second-order blind identification with reference for short transient signals

Feng Wan, Yong Hu, Shengpu Xu, 2013, Inf. Sci..

Influence of Stimuli Color Combination on Online SSVEP-based BCI Performance

Feng Wan, Yong Hu, Chi Man Wong, 2019, 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Observer design for discrete-time nonlinear systems

Feng Wan, Wei Lin, Jinfeng Wei, 2008, 2008 47th IEEE Conference on Decision and Control.

Modulating Individual Alpha Frequency through Short-Term Neurofeedback for Cognitive Enhancement in Healthy Young Adults

Agostinho C. Rosa, F. Wan, M. Vai, 2023, Brain sciences.

A snoring classifier based on Heart Rate Variability analysis

F. Wan, P. Mak, M. Vai, 2011, 2011 Computing in Cardiology.

Common Spatial Pattern Reformulated for Regularizations in Brain–Computer Interfaces

Feng Liu, Feng Wan, Changjian Shui, 2020, IEEE Transactions on Cybernetics.

Object Recognition Test in Peripheral Vision: A Study on the Influence of Object Color, Pattern and Shape

Agostinho C. Rosa, Feng Wan, Pui-In Mak, 2012, Brain Informatics.

A 0.83-µW QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-µm CMOS

Rui Paulo Martins, Peng Un Mak, Mang I Vai, 2012, IEEE Trans. Biomed. Circuits Syst..

Robust Learning of Mixture Models and Its Application on Trial Pruning for EEG Signal Analysis

Feng Wan, Pui-In Mak, Peng Un Mak, 2011, PAKDD Workshops.

A fast adaptive model reduction method based on Takenaka-Malmquist systems

Feng Wan, Tao Qian, Wen Mi, 2012, Syst. Control. Lett..

The Masking Impact of Intra-Artifacts in EEG on Deep Learning-Based Sleep Staging Systems: A Comparative Study

F. Wan, W. Chen, S. Pun, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Inter- and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-Based BCIs

Peng Xu, Agostinho Rosa, C L Philip Chen, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Design of current mode instrumentation amplifier for portable biosignal acquisition system

Feng Wan, Peng Un Mak, Mang I Vai, 2009, 2009 IEEE Biomedical Circuits and Systems Conference.

Transferring Subject-Specific Knowledge Across Stimulus Frequencies in SSVEP-Based BCIs

Tzyy-Ping Jung, Feng Wan, Yong Hu, 2021, IEEE Transactions on Automation Science and Engineering.

Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs

Feng Wan, Peng Un Mak, Mang I Vai, 2020, Journal of neural engineering.

Fast basis search for adaptive Fourier decomposition

F. Wan, Tao Qian, C. Wong, 2018, EURASIP Journal on Advances in Signal Processing.

Fast Basis Searching Method of Adaptive Fourier Decomposition Based on Nelder-Mead Algorithm for ECG Signals

Feng Wan, Ze Wang, Limin Yang, 2015, ISNN.

15-nW Biopotential LPFs in 0.35- $\mu{\rm m}$ CMOS Using Subthreshold-Source-Follower Biquads With and Without Gain Compensation

Feng Wan, Man-Kay Law, Pui-In Mak, 2013, IEEE Transactions on Biomedical Circuits and Systems.

A 28-μW EEG readout front-end utilizing a current-mode instrumentation amplifier and a source-follower-based LPF

Feng Wan, Pui-In Mak, Mang-I Vai, 2010, 2010 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia).

An Exploratory Study of Intensive Neurofeedback Training for Schizophrenia

Agostinho C. Rosa, F. Wan, M. Vai, 2017, Behavioural neurology.

Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training

Agostinho C. Rosa, F. Wan, Wenya Nan, 2018, Front. Psychol..

A Further Study on Short Term Memory Improvement by Neurofeedback

Feng Wan, Pui In Mak, Wenya Nan, 2012, 2012 International Conference on Biomedical Engineering and Biotechnology.

A 90nm CMOS bio-potential signal readout front-end with improved powerline interference rejection

Feng Wan, Pui-In Mak, Rui Paulo Martins, 2009, 2009 IEEE International Symposium on Circuits and Systems.

A modified counter-propagation network for process mean shift identification

Feng Wan, Boyu Wang, Lianjie Shu, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Time course of EEG activities in continuous tracking task: a pilot study

F. Wan, Wenya Nan, Frank Zhu, 2017, Computer assisted surgery.

Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements

Agostinho Rosa, Boyu Wang, Ze Wang, 2020, IEEE Transactions on Biomedical Engineering.

An SSVEP-Based BCI with Adaptive Time-Window Length

Feng Wan, Janir Nuno da Cruz, Chiman Wong, 2013, ISNN.