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Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework [article]

Mahbod Nouri, Faraz Moradi, Hafez Ghaemi, Ali Motie Nasrabadi
<span title="2021-12-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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A potential real-world application would greatly benefit from a more accurate, compact, and computationally efficient subject-independent BCI.  ...  A conventional brain-computer interface (BCI) requires a complete data gathering, training, and calibration phase for each user before it can be used.  ...  real-world BCI and IoT, will become more significant.  ... 
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Mahbod Nouri, Faraz Moradi, Hafez Ghaemi, Ali Motie Nasrabadi. "Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework." arXiv (2021)

Denoising EEG Signals for Real-World BCI Applications Using GANs

Eoin Brophy, Peter Redmond, Andrew Fleury, Maarten De Vos, Geraldine Boylan, Tomás Ward
<span title="2022-01-13">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mfryy2rxsvgrvhbfhug3ugns7a" style="color: black;">Frontiers in Neuroergonomics</a> </i> &nbsp;

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To realise the use of portable BCIs capable of high-quality performance in a real-world setting, we use Generative Adversarial Networks (GANs) that can adopt both supervised and unsupervised learning approaches  ...  However, artefacts induced in BCIs in the real-world context can severely degrade their performance relative to their in-laboratory performance.  ...  We implemented various CNNs, VAEs and Convolutional Autoencoders (CAEs) with the same training process as the GAN and 5-fold cross-validation.  ... 
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Citation

Eoin Brophy, Peter Redmond, Andrew Fleury, Maarten De Vos, Geraldine Boylan, Tomás Ward. "Denoising EEG Signals for Real-World BCI Applications Using GANs." Frontiers in Neuroergonomics (2022)

Real-World Neuroimaging Technologies

Kaleb McDowell, Chin-Teng Lin, Kelvin S. Oie, Tzyy-Ping Jung, Stephen Gordon, Keith W. Whitaker, Shih-Yu Li, Shao-Wei Lu, W. David Hairston
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;

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Lee (DCS Corporation) and S.  ...  Mrozek and G. Slipher for their efforts on the stretchable, pliable conductors, B. Kellihan, J. Canady, and T.J. Doty for their efforts in developing SFN System V1.0, S.  ...  Efforts such as the applications illustrated above aid in understanding the practical aspects of real-world neuroimaging implementation and give insights into many of the conceptual issues discussed herein  ... 
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Kaleb McDowell, Chin-Teng Lin, Kelvin S. Oie, Tzyy-Ping Jung, Stephen Gordon, Keith W. Whitaker, Shih-Yu Li, Shao-Wei Lu, W. David Hairston. "Real-World Neuroimaging Technologies." IEEE Access (2013) 131-149

CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training

Lin Ping-Ju, Jia Tianyu, Chong Li, Li Tianyi, Qian Chao, Li Zhibin, Yu Pan, Linhong Ji
<span title="2021-09-13">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kujklva47vealdwew7xiv34ble" style="color: black;">IEEE transactions on neural systems and rehabilitation engineering</a> </i> &nbsp;

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in clinical rehabilitation practice.  ...  The performance of our model was assessed using the leave-one-out cross-validation. Overall, the proposed model predicted patients' recovery with R2 0.98 and MSE 0.89.  ...  Among various machine learning techniques introduced above, neural network algorithm in particular have been proven to be vastly more efficient in real-life applications such as object detection and pattern  ... 
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Citation

Lin Ping-Ju, Jia Tianyu, Chong Li, Li Tianyi, Qian Chao, Li Zhibin, Yu Pan, Linhong Ji. "CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training." IEEE transactions on neural systems and rehabilitation engineering (2021) 1-1

Therapeutic applications of BCI technologies

Dennis J. McFarland, Janis Daly, Chadwick Boulay, Muhammad A. Parvaz
<span title="2017-04-03">2017</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xvnldy2cbrb33g4nn6alwxozkm" style="color: black;">Brain-Computer Interfaces</a> </i> &nbsp;

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Brain-computer interface (BCI) technology can restore communication and control to people who are severely paralyzed.  ...  We consider potential neural signals as well as the design and goals of BCIbased therapeutic applications.  ...  Acknowledgments This work was supported in part by the following: NIH 1P41EB018783; the Department of Veterans Affairs Rehabilitation research and Development Service grant B9024S.  ... 
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Dennis J. McFarland, Janis Daly, Chadwick Boulay, Muhammad A. Parvaz. "Therapeutic applications of BCI technologies." Brain-Computer Interfaces 4.1-2 (2017) 37-52

Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings

Yang Chang, Congying He, Bo-Yu Tsai, Li-Wei Ko
<span title="2021-12-22">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;

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The proposed indicator is applicable to potential passive and active BCI applications for monitoring the subject's physiological state change in real-time, along with providing a means of evaluating the  ...  Mental state changes induced by stimuli under experimental settings or by daily events in real life affect task performance and are entwined with physical and mental health.  ...  Cory Stevenson for editing assistance, and the Information and Communications Research Division, National Chung-Shan Institute of Science and Technology for supporting the research.  ... 
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Citation

Yang Chang, Congying He, Bo-Yu Tsai, Li-Wei Ko. "Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings." Frontiers in Human Neuroscience (2021) 785562

Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs [article]

Zihan Liu and Lubin Meng and Xiao Zhang and Weili Fang and Dongrui Wu
<span title="2021-06-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2019-12-03">2019</span> <span class="release-stage" >pre-print</span>
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<span title="2020-07-02">2020</span> <span class="release-stage" >pre-print</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.01171v2">arXiv:1912.01171v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4jkomm5ul5gmhosludjjqsqa2e">fatcat:4jkomm5ul5gmhosludjjqsqa2e</a> </span>
UAPs are easy to construct, and can attack BCIs in real-time, exposing a potentially critical security concern of BCIs.  ...  Experimental results demonstrated the effectiveness of TLM on three popular CNN classifiers for both target and non-target attacks.  ...  We replaced the true labels y in (7) with the predicted ones, as in real-world applications we do not have the true labels.  ... 
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Zihan Liu and Lubin Meng and Xiao Zhang and Weili Fang and Dongrui Wu. "Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs." arXiv (2021)

Facilitating Applications of SSVEP-Based BCIs by Within-Subject Information Transfer

Xiaobing Liu, Bingchuan Liu, Guoya Dong, Xiaorong Gao, Yijun Wang
<span title="2022-05-26">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;

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and advancing the frontier of the dry electrode-based SSVEP–BCI in real-world applications.  ...  The steady-state visual evoked potential based brain–computer interface (SSVEP–BCI) can provide high-speed alternative and augmentative communication in real-world applications.  ...  the analysis and wrote the manuscript. GD and XG revised the manuscript. YW supervised the study. All authors contributed to the article and agreed to the published version of the manuscript.  ... 
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Citation

Xiaobing Liu, Bingchuan Liu, Guoya Dong, Xiaorong Gao, Yijun Wang. "Facilitating Applications of SSVEP-Based BCIs by Within-Subject Information Transfer." Frontiers in Neuroscience (2022) 863359

Past, Present, and Future of EEG-Based BCI Applications

Kaido Värbu, Naveed Muhammad, Yar Muhammad
<span title="2022-04-26">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;

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In addition to the initial aim, EEG-based BCI applications have also gained increasing significance in the non-medical domain, improving the life of healthy people, for instance, by making it more efficient  ...  The distribution of the research between the medical and non-medical domain has been analyzed and further categorized into fields of research within the reviewed domains.  ...  Concerning BCI applications in the non-medical domain, Wei et al. have highlighted that in order to transition laboratory-oriented BCI applications into real-world environments, the convenience to use  ... 
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Kaido Värbu, Naveed Muhammad, Yar Muhammad. "Past, Present, and Future of EEG-Based BCI Applications." Sensors 22.9 (2022) 3331

Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration [article]

Dongrui Wu
<span title="2018-05-12">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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We propose active semi-supervised transfer learning (ASTL) for offline BCI calibration, which integrates active learning, semi-supervised learning, and transfer learning.  ...  Using a visual evoked potential oddball task and three different EEG headsets, we demonstrate that ASTL can achieve consistently good performance across subjects and headsets, and it outperforms some state-of-the-art  ...  Similar observations can also be made for the BioSemi and ABM headsets. V. CONCLUSIONS Single-trial classification of ERPs in EEG signals has been used in many real-world BCI systems.  ... 
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Citation

Dongrui Wu. "Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration." arXiv (2018)

Review of the BCI Competition IV

Michael Tangermann, Klaus-Robert Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, Carsten Mehring, Kai J. Miller, Gernot R. Müller-Putz, Guido Nolte, Gert Pfurtscheller (+6 others)
<span title="">2012</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;

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The goals of all BCI competitions have always been to challenge with respect to novel paradigms and complex data.  ...  As experienced already in prior competitions not only scientists from the narrow field of BCI compete, but scholars with a broad variety of backgrounds and nationalities.  ...  This is of high clinical relevance, as any practical application of a motor imagery BCI system will require that the BCI system recognizes periods of resting and coming back to active BCI control.  ... 
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Citation

Michael Tangermann, Klaus-Robert Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, Carsten Mehring, Kai J. Miller, Gernot R. Müller-Putz, Guido Nolte, Gert Pfurtscheller, Hubert Preissl, Gerwin Schalk, Alois Schlögl, Carmen Vidaurre, Stephan Waldert, Benjamin Blankertz. "Review of the BCI Competition IV." Frontiers in Neuroscience (2012)

Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

Dongrui Wu
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b32fg3eaw5htxo27fbdgmysupe" style="color: black;">IEEE Transactions on Human-Machine Systems</a> </i> &nbsp;

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<span title="2017-02-09">2017</span> <span class="release-stage" >pre-print</span> <span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.02897v1">arXiv:1702.02897v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/avfpsikbd5bbnew5g2pvwhumvi">fatcat:avfpsikbd5bbnew5g2pvwhumvi</a> </span>
Many real-world brain-computer interface (BCI) applications rely on single-trial classification of event-related potentials (ERPs) in EEG signals.  ...  Moreover, through source domain selection, we can reduce their computational cost by about 50%, making them more suitable for real-time applications.  ...  Army Research Laboratory (ARL) for designing the experiment and collecting the data, and Brent J. Lance and Vernon J. Lawhern from the ARL for helpful discussions. Research  ... 
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Dongrui Wu. "Online and Offline Domain Adaptation for Reducing BCI Calibration Effort." IEEE Transactions on Human-Machine Systems 47.4 (2017) 550-563

A Single-Channel SSVEP-Based BCI Speller Using Deep Learning

Trung-Hau Nguyen, Wan-Young Chung
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;

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The deep learning model is implemented and trained under the training mode before being applied in the operation mode of the system.  ...  Consequently, the system achieves an average accuracy of 97.4% and an information transfer rate of 49 ± 7.7 bpm, showing the practicality and feasibility of implementing a reliable single-channel SSVEP-based  ...  Our study tends to simplify the BCI system design and implementation in the aspects of practicability and feasibility to real-life applications.  ... 
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Trung-Hau Nguyen, Wan-Young Chung. "A Single-Channel SSVEP-Based BCI Speller Using Deep Learning." IEEE Access (2019) 1752-1763

EEG Dataset and OpenBMI Toolbox for Three BCI Paradigms: An Investigation into BCI Illiteracy

Min-Ho Lee, O-Yeon Kwon, Yong-Jeong Kim, Hong-Kyung Kim, Young-Eun Lee, John Williamson, Siamac Fazli, Seong-Whan Lee
<span title="2019-01-30">2019</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/apde6vbe7vfoxkfibp7n4mzonm" style="color: black;">GigaScience</a> </i> &nbsp;

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In addition, information about the psychological and physiological conditions of BCI users was obtained using a questionnaire, and task-unrelated parameters such as resting state, artifacts, and electromyography  ...  Electroencephalography (EEG)-based brain-computer interface (BCI) systems are mainly divided into three major paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked  ...  BCI systems, in particular, lacked the system performance required for real-world applications; the availability of a dataset including a large number of subjects over multiple sessions has aided in developing  ... 
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Citation

Min-Ho Lee, O-Yeon Kwon, Yong-Jeong Kim, Hong-Kyung Kim, Young-Eun Lee, John Williamson, Siamac Fazli, Seong-Whan Lee. "EEG Dataset and OpenBMI Toolbox for Three BCI Paradigms: An Investigation into BCI Illiteracy." GigaScience 8.5 (2019)

Error Correction Output Codding Coupled With The Csp For Motor Imagery Bci

Arash Mohammadi, Soroosh Shahtalebi
<span title="2018-01-25">2018</span> <i title="Zenodo"> Zenodo </i> &nbsp;

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The real domain is represented by R. The transpose and trace of a matrix X are, respectively, denoted by X T , and Tr(X).  ...  Since then, ECOC has been successfully and extensively applied [18] in different application domains other than for EEG classification in BCI systems. The paper addresses this gap.  ... 
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Citation

Arash Mohammadi, Soroosh Shahtalebi. "Error Correction Output Codding Coupled With The Csp For Motor Imagery Bci." Zenodo (2018)

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