A Single-Channel Consumer-Grade EEG Device for Brain–Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation
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Poramate Manoonpong | Theerawit Wilaiprasitporn | Tohru Yagi | Sirawaj Itthipuripat | Maneesha Perera | Phairot Autthasan | Xiangqian Du | Sirakorn Lamyai | Jetsada Arnin | P. Manoonpong | Sirawaj Itthipuripat | T. Yagi | M. Perera | Theerawit Wilaiprasitporn | Phairot Autthasan | J. Arnin | Xiangqian Du | Sirakorn Lamyai
[1] J. Wolpaw,et al. Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects , 2009, IEEE Reviews in Biomedical Engineering.
[2] Justin M. Ales,et al. The steady-state visual evoked potential in vision research: A review. , 2015, Journal of vision.
[3] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[4] Shangkai Gao,et al. A practical VEP-based brain-computer interface. , 2006, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[5] Yijun Wang,et al. Visual and Auditory Brain–Computer Interfaces , 2014, IEEE Transactions on Biomedical Engineering.
[6] Fanglin Chen,et al. A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP , 2014, IEEE Transactions on Biomedical Engineering.
[7] Matthias M. Müller,et al. The time course of cortical facilitation during cued shifts of spatial attention , 1998, Nature Neuroscience.
[8] P. Varona,et al. Assisted closed-loop optimization of SSVEP-BCI efficiency , 2012, Front. Neural Circuits.
[9] J. Serences,et al. Having More Choices Changes How Human Observers Weight Stable Sensory Evidence , 2018, The Journal of Neuroscience.
[10] Robert Tibshirani,et al. Discriminant Adaptive Nearest Neighbor Classification and Regression , 1995, NIPS.
[11] Fanglin Chen,et al. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm , 2013, Journal of neural engineering.
[12] Marcia Grabowecky,et al. Attention induces synchronization-based response gain in steady-state visual evoked potentials , 2007, Nature Neuroscience.
[13] G. Pfurtscheller,et al. Information transfer rate in a five-classes brain-computer interface , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] E. Donchin,et al. The contingent negative variation and the late positive wave of the average evoked potential. , 1970, Electroencephalography and clinical neurophysiology.
[15] Debi Prosad Dogra,et al. EEG-Based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model , 2019, IEEE Sensors Journal.
[16] Gina M. Notaro,et al. Simultaneous EEG, eye-tracking, behavioral, and screen-capture data during online German language learning , 2018, Data in brief.
[17] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[18] Peng Wang,et al. Training -Free Steady-State Visual Evoked Potential Brain–Computer Interface Based on Filter Bank Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding , 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[19] Wei Wu,et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.
[20] J. Schoffelen,et al. Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability , 2008, The Journal of Neuroscience.
[21] F. D. Silva,et al. EEG and MEG: Relevance to Neuroscience , 2013, Neuron.
[22] Gernot R. Müller-Putz,et al. Control of an Electrical Prosthesis With an SSVEP-Based BCI , 2008, IEEE Transactions on Biomedical Engineering.
[23] S. A. Hillyard,et al. Sustained division of the attentional spotlight , 2003, Nature.
[24] Carmen C. Y. Poon,et al. Unobtrusive and Multimodal Wearable Sensing to Quantify Anxiety , 2016, IEEE Sensors Journal.
[25] Douglas C. Montgomery,et al. Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics) , 2007 .
[26] Dennis J. McFarland,et al. Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.
[27] Xingyu Wang,et al. A comparison of three electrode channels selection methods applied to SSVEP BCI , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).
[28] J. Wolpaw,et al. Towards an independent brain–computer interface using steady state visual evoked potentials , 2008, Clinical Neurophysiology.
[29] Ali Hassan Sodhro,et al. A Joint Transmission Power Control and Duty-Cycle Approach for Smart Healthcare System , 2019, IEEE Sensors Journal.
[30] Usman Rashid,et al. An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299 , 2018, Sensors.
[31] Yuan-Pin Lin,et al. A mobile SSVEP-based brain-computer interface for freely moving humans: The robustness of canonical correlation analysis to motion artifacts , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[32] D.J. McFarland,et al. The wadsworth BCI research and development program: at home with BCI , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[33] Meng Wang,et al. A Wearable SSVEP-Based BCI System for Quadcopter Control Using Head-Mounted Device , 2018, IEEE Access.
[34] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[35] E. Vogel,et al. Visual working memory capacity: from psychophysics and neurobiology to individual differences , 2013, Trends in Cognitive Sciences.
[36] Kiran George,et al. Home automation system using brain computer interface paradigm based on auditory selection attention , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
[37] Dibyendu Roy,et al. Readability Analysis Based on Cognitive Assessment Using Physiological Sensing , 2019, IEEE Sensors Journal.
[38] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[39] Michael A. Casey,et al. Assessing Feedback Response With a Wearable Electroencephalography System , 2019, Front. Hum. Neurosci..
[40] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[41] D J McFarland,et al. Brain-computer interface research at the Wadsworth Center. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[42] Benjamin S. Mashford,et al. A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[43] A. Wilkins,et al. Photic‐ and Pattern‐induced Seizures: A Review for the Epilepsy Foundation of America Working Group , 2005, Epilepsia.
[44] L. Cohen,et al. Brain–computer interfaces: communication and restoration of movement in paralysis , 2007, The Journal of physiology.
[45] Syed Muhammad Anwar,et al. A Hybrid Scheme for Drowsiness Detection Using Wearable Sensors , 2019, IEEE Sensors Journal.
[46] C. Braun,et al. Hand Movement Direction Decoded from MEG and EEG , 2008, The Journal of Neuroscience.
[47] Thomas C. Sprague,et al. Functional MRI and EEG Index Complementary Attentional Modulations , 2019, The Journal of Neuroscience.
[48] Amr Mohamed,et al. Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network , 2015, Biomed. Signal Process. Control..
[49] Bin He,et al. Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives , 2014, IEEE Transactions on Biomedical Engineering.
[50] Ioannis Kompatsiaris,et al. A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection , 2019, IEEE Journal of Biomedical and Health Informatics.
[51] Thomas C. Sprague,et al. Changing the Spatial Scope of Attention Alters Patterns of Neural Gain in Human Cortex , 2014, The Journal of Neuroscience.
[52] Brendan Z. Allison,et al. Journal of Neuroscience Methods , 2022 .
[53] Hsuan-Tien Lin,et al. A note on Platt’s probabilistic outputs for support vector machines , 2007, Machine Learning.
[54] Guanghua Xu,et al. A Convolutional Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential , 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[55] Xiaogang Chen,et al. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface , 2015, Journal of neural engineering.
[56] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[57] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[58] Xiaorong Gao,et al. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.
[59] Xiaogang Chen,et al. A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[60] T. J. Sullivan,et al. A user-friendly SSVEP-based brain–computer interface using a time-domain classifier , 2010, Journal of neural engineering.
[61] W. Klimesch. Alpha-band oscillations, attention, and controlled access to stored information , 2012, Trends in Cognitive Sciences.
[62] Toby P. Breckon,et al. On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications , 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[63] Tzyy-Ping Jung,et al. Measuring Steady-State Visual Evoked Potentials from non-hair-bearing areas , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[64] Xin Liu,et al. FPGA-based real-time compressed sensing of multichannel EEG signals for wireless body area networks , 2019, Biomed. Signal Process. Control..
[65] Guanglin Li,et al. Medical Information Security for Wearable Body Sensor Networks in Smart Healthcare , 2019, IEEE Consumer Electronics Magazine.
[66] Yuan-Ting Zhang,et al. Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks , 2018, IEEE Transactions on Biomedical Engineering.
[67] Yijun Wang,et al. Brain-Computer Interfaces Based on Visual Evoked Potentials , 2008, IEEE Engineering in Medicine and Biology Magazine.
[68] Hubert Cecotti,et al. A Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.