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• The Asilomar Survey: Stakeholders’ Opinions on Ethical Issues Related to Brain-Computer Interfacing
  Brain-Computer Interface (BCI) research and (future) applications raise important ethical issues that need to be addressed to promote societal acceptance and adequate policies. Here we report on a survey we conducted among 145 BCI researchers at the 4 th Inter…
  openalex Femke Nijboer, Jens Clausen, Brendan Z. Allison, Pim Haselager 2011-08-17 置信度 0.72 Brain–computer interfaceNeuroethicsTerminologyPsychologyInterface (matter)
• Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface
  A novel neural information processing architecture inspired by quantum mechanics and incorporating the well-known Schrodinger wave equation is proposed in this paper. The proposed architecture referred to as recurrent quantum neural network (RQNN) can characte…
  openalex Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera 等 2013-08-06 置信度 0.72 Artificial neural networkComputer scienceInterface (matter)SIGNAL (programming language)Noise (video)
• A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
  A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently been proposed to address the limitations of conventional single BCI system. Although some hybrid BCI studies have shown promising results, the field of hybrid BCI is sti…
  openalex Inchul Choi, Ilsun Rhiu, Yushin Lee, Myung Hwan Yun 等 2017-04-28 置信度 0.72 UsabilityBrain–computer interfaceComputer scienceHuman–computer interactionInterface (matter)
• A study of the existing problems of estimating the information transfer rate in online brain–computer interfaces
  OBJECTIVE: Today, the brain-computer interface (BCI) community lacks a standard method to evaluate an online BCI's performance. Even the most commonly used metric, the information transfer rate (ITR), is often reported differently, even incorrectly, in many pa…
  openalex Peng Yuan, Xiaorong Gao, Brendan Z. Allison, Yijun Wang 等 2013-02-28 置信度 0.72 Brain–computer interfaceComputer scienceMetric (unit)Interface (matter)Task (project management)
• Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces
  Drowsy driving is one of the major causes that lead to fatal accidents worldwide. For the past two decades, many studies have explored the feasibility and practicality of drowsiness detection using electroencephalogram (EEG)-based brain-computer interface (BCI…
  openalex Chun-Shu Wei, Yu-Te Wang, Chin‐Teng Lin, Tzyy‐Ping Jung 2018-01-05 置信度 0.72 ElectroencephalographyBrain–computer interfaceScalpComputer scienceInterface (matter)
• Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces – A Mini-Review
  Biomedical signal monitoring systems have rapidly advanced in recent years, propelled by significant advances in electronic and information technologies. Brain-computer interface (BCI) is one of the important research branches and has become a hot topic in the…
  openalex Chin‐Teng Lin, Li‐Wei Ko, Meng-Hsiu Chang, Jeng‐Ren Duann 等 2009-07-24 置信度 0.72 Brain–computer interfaceComputer scienceWearable computerInterface (matter)Human–computer interaction
• Predictive Spelling With a P300-Based Brain–Computer Interface: Increasing the Rate of Communication
  This study compared a conventional P300 speller brain-computer interface (BCI) to one used in conjunction with a predictive spelling program. Performance differences in accuracy, bit rate, selections per minute, and output characters per minute (OCM) were exam…
  openalex David B. Ryan, G. E. Frye, George Townsend, Daniel R. Berry 等 2010-12-28 置信度 0.72 Brain–computer interfaceSpellingInterface (matter)Computer scienceSpeech recognition
• Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment
  Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the under- and overload conditions, hence enhancing the overall performance and safety of the human-machine system. The main issu…
  openalex Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Alfredo Colosimo 等 2016-10-26 置信度 0.72 WorkloadComputer scienceAutomationAir traffic controlSituation awareness
• Brain-computer interfaces
  Brain-computer interfaces (BCIs) have a promising future, with researchers in laboratories all over the world using many different brain signals, recording methods, and signal processing approaches to realize increasingly capable systems. These BCI systems can…
  openalex Jonathan R. Wolpaw 2012-01-28 置信度 0.72 Brain–computer interfaceComputer scienceReliability (semiconductor)Human–computer interactionInterface (matter)
• Brain–Computer Interface Design for Asynchronous Control Applications: Improvements to the LF-ASD Asynchronous Brain Switch
  The low-frequency asynchronous switch design (LF-ASD) was introduced as a direct brain-computer interface (BCI) technology for asynchronous control applications. The LF-ASD operates as an asynchronous brain switch (ABS) which is activated only when a user inte…
  openalex Jaimie Borisoff, S.G. Mason, Ali Bashashati, Gary E. Birch 2004-05-25 置信度 0.72 Asynchronous communicationBrain–computer interfaceComputer scienceInterface (matter)Speech recognition
• A new brain-computer interface design using fuzzy ARTMAP
  This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA) neural network, as well as an application of the design. The objective of this BCI-FA design is to classify the best three of the five available mental tasks for each subje…
  openalex Ramaswamy Palaniappan, Raveendran Paramesran, S. Nishida, Naoki Saiwaki 2002-09-01 置信度 0.72 Brain–computer interfaceMorse codeComputer scienceInterface (matter)Code (set theory)
• Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces
  Most EEG-based brain-computer interface (BCI) paradigms come along with specific electrode positions, for example, for a visual-based BCI, electrode positions close to the primary visual cortex are used. For new BCI paradigms it is usually not known where task…
  openalex Michael Schröder, Thomas Navin Lal, Thilo Hinterberger, Martin Bogdan 等 2005-11-17 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyChannel (broadcasting)Task (project management)
• Electroencephalography ( EEG )‐Based Brain–Computer Interfaces
  Brain–computer interfaces (BCIs) are systems that can translate the brain activity patterns of a user into messages or commands for an interactive application. The brain activity that is processed by the BCI systems is usually measured using electroencephalogr…
  openalex Fabien Lotte, Laurent Bougrain, Maureen Clerc 2015-09-15 置信度 0.72 ElectroencephalographyBrain–computer interfaceComputer scienceHuman–computer interactionBrain activity and meditation
• Toward noninvasive brain-computer interfaces
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  openalex K. Müller, Benjamin Blankertz 2006-09-01 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionElectroencephalographyNeuroscience
• The state of clinical trials of implantable brain–computer interfaces
  openalex K. Michelle Patrick-Krueger, Ian Burkhart, José L. Contreras-Vidal 2024-09-20 置信度 0.72 Brain–computer interfaceState (computer science)Clinical trialMedicinePhysical medicine and rehabilitation
• Attention modulations of posterior alpha as a control signal for two-dimensional brain–computer interfaces
  openalex Marcel van Gerven, Ole Jensen 2009-01-30 置信度 0.72 CovertBrain–computer interfaceMagnetoencephalographyAlpha (finance)Computer science
• Study of On-Line Adaptive Discriminant Analysis for EEG-Based Brain Computer Interfaces
  A study of different on-line adaptive classifiers, using various feature types is presented. Motor imagery brain computer interface (BCI) experiments were carried out with 18 naive able-bodied subjects. Experiments were done with three two-class, cue-based, el…
  openalex Carmen Vidaurre, Alois Schlögl, Rafael Cabeza, Reinhold Scherer 等 2007-03-01 置信度 0.72 Linear discriminant analysisBrain–computer interfaceArtificial intelligenceQuadratic classifierConcatenation (mathematics)
• Basics of Brain Computer Interface
  openalex Rabie Α. Ramadan, Samah Refat, Marwa A. Elshahed, Rasha A. Ali 2014-11-01 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceHuman–computer interactionField (mathematics)
• Learning from other subjects helps reducing Brain-Computer Interface calibration time
  A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. In this paper, we propose a new method to reduce this calibration time by using da…
  openalex Fabien Lotte, Cuntai Guan 2010-01-01 置信度 0.72 Brain–computer interfaceComputer scienceLinear discriminant analysisCalibrationInterface (matter)
• Sensorimotor rhythm-based brain–computer interface (BCI): model order selection for autoregressive spectral analysis
  People can learn to control EEG features consisting of sensorimotor rhythm amplitudes and can use this control to move a cursor in one or two dimensions to a target on a screen. Cursor movement depends on the estimate of the amplitudes of sensorimotor rhythms.…
  openalex Dennis J. McFarland, Jonathan R. Wolpaw 2008-04-22 置信度 0.72 Brain–computer interfaceAutoregressive modelComputer scienceRhythmSensorimotor rhythm
• Emotional brain-computer interfaces
  In this paper, we apply global value chain (GVC) analysis to recent trends in the global automotive industry. We focus on how the recent economic crisis has accelerated pre-crisis trends towards greater importance of the industry in the developing world. The r…
  openalex Gary Garcia‐Molina, Tsvetomira Tsoneva, Anton Nijholt 2012-12-02 置信度 0.72 Automotive industryGlobal value chainAutonomyEmerging marketsProduction (economics)
• Plug-and-play control of a brain–computer interface through neural map stabilization
  openalex Daniel B. Silversmith, Reza Abiri, Nicholas F. Hardy, Nikhilesh Natraj 等 2020-09-07 置信度 0.72 Brain–computer interfaceInterface (matter)Control (management)Computer scienceNeuroscience
• Status of deep learning for EEG-based brain–computer interface applications
  In the previous decade, breakthroughs in the central nervous system bioinformatics and computational innovation have prompted significant developments in brain-computer interface (BCI), elevating it to the forefront of applied science and research. BCI revital…
  openalex Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, Anton Nijholt 等 2023-01-16 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceDeep learningNeurorehabilitation
• Face stimuli effectively prevent brain–computer interface inefficiency in patients with neurodegenerative disease
  openalex Tobias Kaufmann, Stefan M. Schulz, Anja Köblitz, Gregor Renner 等 2012-12-14 置信度 0.72 Brain–computer interfaceInefficiencySpellingSpellNeuroscience
• Brain-Computer Interfacing [In the Spotlight
  Recently, CNN reported on the future of brain-computer interfaces (BCIs). BCIs are devices that process a user's brain signals to allow direct communication and interaction with the environment. BCIs bypass the normal neuromuscular output pathways and rely on …
  openalex Rajesh P. N. Rao, Reinhold Scherer 2010-06-23 置信度 0.72 Brain–computer interfaceInterfacingComputer scienceElectroencephalographyBrain activity and meditation
• A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
  openalex Drishti Yadav, Shilpee Yadav, Karan Veer 2020-08-24 置信度 0.72 Brain–computer interfaceComputer scienceRelevance (law)Field (mathematics)Data science
• Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning
  The goal of a Brain-Computer Interface (BCI) is to control a computer by pure brain activity. Recently, BCIs based on code-modulated visual evoked potentials (c-VEPs) have shown great potential to establish high-performance communication. In this paper we pres…
  openalex Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan 2012-12-07 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Adaptation (eye)Visual evoked potentials
• Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis
  Brain-computer interfaces (BCIs) might restore communication to people severely disabled by amyotrophic lateral sclerosis (ALS) or other disorders. We sought to: 1) define a protocol for determining whether a person with ALS can use a visual P300-based BCI; 2)…
  openalex Lynn M. McCane, Eric W. Sellers, Dennis J. McFarland, Joseph N. Mak 等 2014-02-20 置信度 0.72 Brain–computer interfaceAmyotrophic lateral sclerosisAudiologyPhysical medicine and rehabilitationVisual impairment
• Brain-computer interface research at the university of south Florida cognitive psychophysiology laboratory: the P300 speller
  We describe current efforts to implement and improve P300-BCI communication tools. The P300 Speller first described by Farwell and Donchin (in 1988) adapted the so-called oddball paradigm (OP) as the operating principle of the brain-computer interface (BCI) an…
  openalex Eric W. Sellers, Andrea Kübler, Emanuel Donchin 2006-06-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Oddball paradigmElectroencephalography
• Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing
  The performance of motor imagery (MI) based Brain-computer interfacing (BCI) is easily affected by noise and redundant information that exists in the multi-channel electroencephalogram (EEG). To solve this problem, many temporal and spatial feature based chann…
  openalex Jing Jin, Chang Liu, Ian Daly, Yangyang Miao 等 2020-09-01 置信度 0.72 BispectrumInterfacingMotor imagerySelection (genetic algorithm)Brain–computer interface
• Prediction of brain-computer interface aptitude from individual brain structure
  OBJECTIVE: Brain-computer interface (BCI) provide a non-muscular communication channel for patients with impairments of the motor system. A significant number of BCI users is unable to obtain voluntary control of a BCI-system in proper time. This makes methods…
  openalex Sebastian Halder, Bálint Várkuti, Martin Bogdan, Andrea Kübler 等 2013-01-01 置信度 0.72 Brain–computer interfaceAptitudeCorpus callosumInterface (matter)Fascicle
• Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study
  Introduction: Numerous recent publications have explored Brain Computer Interfaces (BCI) systems as rehabilitation tools to help subacute and chronic stroke patients recover upper extremity movement. The BCI therapy proved to be superior to conventional treatm…
  openalex Marc Sebastián-Romagosa, Woosang Cho, Rupert Ortner, Nensi Murovec 等 2020-10-21 置信度 0.72 Physical medicine and rehabilitationRehabilitationHemiparesisFunctional electrical stimulationBrain–computer interface
• A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces
  We present three datasets that were used to conduct an open competition for evaluating the performance of various machine-learning algorithms used in brain-computer interfaces. The datasets were collected for tasks that included: 1) detecting explicit left/rig…
  openalex Peter Šajda, Adam D. Gerson, K. Müller, Benjamin Blankertz 等 2003-06-01 置信度 0.72 Computer scienceCompetition (biology)Cursor (databases)Machine learningArtificial intelligence
• On the control of brain-computer interfaces by users with cerebral palsy
  openalex Ian Daly, Martin Billinger, José Laparra-Hernández, Fabio Aloise 等 2013-05-15 置信度 0.72 Brain–computer interfaceSensorimotor rhythmCerebral palsyNeurophysiologyComputer science
• Brain–computer interfaces (BCIs): Detection instead of classification
  openalex Gerwin Schalk, Peter Brunner, Lester A. Gerhardt, Horst Bischof 等 2007-08-22 置信度 0.72 Brain–computer interfaceComputer scienceArtificial intelligenceElectroencephalographyPattern recognition (psychology)
• Doing Things with Thoughts: Brain-Computer Interfaces and Disembodied Agency
  Connecting human minds to various technological devices and applications through brain-computer interfaces (BCIs) affords intriguingly novel ways for humans to engage and interact with the world. Not only do BCIs play an important role in restorative medicine,…
  openalex Steffen Steinert, Christoph Bublitz, Ralf J. Jox, Orsolya Friedrich 2018-03-10 置信度 0.72 Action (physics)Agency (philosophy)Sense of agencyBrain–computer interfaceCognitive science
• A brain–computer interface (BCI) for the locked-in: comparison of different EEG classifications for the thought translation device
  openalex Thilo Hinterberger, Andrea Kübler, Jochen Kaiser, Nicola Neumann 等 2003-03-01 置信度 0.72 Brain–computer interfaceElectroencephalographyInterface (matter)Computer scienceTranslation (biology)
• Transferring brain–computer interfaces beyond the laboratory: Successful application control for motor-disabled users
  openalex Robert Leeb, Serafeim Perdikis, Luca Tonin, Andrea Biasiucci 等 2013-09-13 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionControl (management)Robot
• Physiological regulation of thinking: brain–computer interface (BCI) research
  openalex Niels Birbaumer, Cornelia Weber, Christa Neuper, Ethan R. Buch 等 2006-01-01 置信度 0.72 Brain–computer interfaceMagnetoencephalographyElectroencephalographyNeuroscienceNeurofeedback
• A Brain-Computer Interface for classifying EEG correlates of chronic mental stress
  In this paper, a Brain-Computer Interface (BCI) for classifying EEG correlates of chronic mental stress is proposed. Data from 8 EEG channels are collected from 26 healthy right-handed students during university examination period and after the examination whe…
  openalex Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Sau Wai Tung 等 2011-07-01 置信度 0.72 ElectroencephalographyBrain–computer interfaceSupport vector machinePattern recognition (psychology)Artificial intelligence
• Noninvasive Brain–Computer Interfaces for Augmentative and Alternative Communication
  Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive technologies, including augmentative and alternative communication (AAC) systems, to people with severe speech and physical impairments (SSPI). Research on the subject has…
  openalex Murat Akçakaya, Betts Peters, Mohammad Moghadamfalahi, Aimee Mooney 等 2014-01-01 置信度 0.72 Augmentative and alternative communicationBrain–computer interfaceComputer scienceHuman–computer interactionDebugging
• FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
  Lack of adequate training samples and noisy high-dimensional features are key challenges faced by Motor Imagery (MI) decoding algorithms for electroencephalogram (EEG) based Brain-Computer Interface (BCI). To address these challenges, inspired from neuro-physi…
  openalex Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang 等 2021-03-17 置信度 0.72 Brain–computer interfaceDiscriminative modelComputer scienceConvolutional neural networkArtificial intelligence
• Brain–Computer Interfaces
  This chapter introduces the field of brain—computer interfaces (BCIs), also called brain-machine interfaces (BMIs), which has seen impressive achievements over the past few years. It first reviews the different kinds of brain signals that can be recorded as in…
  openalex José del R. Millán 2013-07-12 置信度 0.72 Brain–computer interfaceNeurorehabilitationComputer scienceField (mathematics)Human–computer interaction
• Brain-computer interfaces for hci and games
  In this workshop we study the research themes and the state-of-the-art of brain-computer interaction. Brain-computer interface research has seen much progress in the medical domain, for example for prosthesis control or as biofeedback therapy for the treatment…
  openalex Anton Nijholt, Desney Tan, Brendan Z. Allison, Jose del R. Milan 等 2008-04-05 置信度 0.72 Human–computer interactionComputer scienceBrain–computer interfaceVariety (cybernetics)Entertainment
• Cognitive tasks for driving a brain-computer interfacing system: a pilot study
  Different cognitive tasks were investigated for use with a brain-computer interface (BCI). The main aim was to evaluate which two of several candidate tasks lead to patterns of electroencephalographic (EEG) activity that could be differentiated most reliably a…
  openalex Eleanor Curran, Peter Sykacek, María Stokes, Stephen Roberts 等 2004-03-01 置信度 0.72 InterfacingBrain–computer interfaceCognitionHuman–computer interactionComputer science
• Brain-Computer Interface Controlled Functional Electrical Stimulation System for Ankle Movement
  BACKGROUND: Many neurological conditions, such as stroke, spinal cord injury, and traumatic brain injury, can cause chronic gait function impairment due to foot-drop. Current physiotherapy techniques provide only a limited degree of motor function recovery in …
  openalex Hui An, Po T. Wang, Christine King, Ahmad Abiri 等 2011-01-01 置信度 0.72 Functional electrical stimulationBrain–computer interfacePhysical medicine and rehabilitationElectroencephalographyAnkle dorsiflexion
• The effect of distinct mental strategies on classification performance for brain–computer interfaces
  openalex Elisabeth V. C. Friedrich, Reinhold Scherer, Christa Neuper 2012-01-31 置信度 0.72 Brain–computer interfaceComputer sciencePsychologyNeuroscienceCognitive psychology
• Neural Decoding for Intracortical Brain–Computer Interfaces
  Brain-computer interfaces have revolutionized the field of neuroscience by providing a solution for paralyzed patients to control external devices and improve the quality of daily life. To accurately and stably control effectors, it is important for decoders t…
  openalex Yuanrui Dong, Shirong Wang, Qiang Huang, Rune W. Berg 等 2023-01-01 置信度 0.72 Brain–computer interfaceDecoding methodsComputer scienceNeural decodingNeural engineering
• Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
  Recent studies show that scalp electroencephalography (EEG) as a non-invasive interface has great potential for brain-computer interfaces (BCIs). However, one factor that has limited practical applications for EEG-based BCI so far is the difficulty to decode b…
  openalex Deng Wang, Duoqian Miao, Gunnar Blohm 2012-01-01 置信度 0.72 Brain–computer interfaceDecoding methodsMotor imageryElectroencephalographyClass (philosophy)
• Lead selection for SSVEP-based brain-computer interface
  SSVEP-based brain-computer interface (BCI) has potential advantage of high information transfer rate. However, individual difference greatly affects its practical applications. This paper presents a method of lead selection to improve the applicability of SSVE…
  openalex Yijun Wang, Zhiguang Zhang, Xiaorong Gao, Shangkai Gao 2005-04-12 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Information transferCorrelation
• Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances
  openalex Alain Rakotomamonjy, Vincent Guigue, G. Mallet, Víctor M. Alvarado 2005-01-01 置信度 0.72 Brain–computer interfaceComputer scienceSupport vector machineClassifier (UML)Interface (matter)
• Brain-Computer Interfaces
  openalex Aboul Ella Hassanien, Ahmad Taher Azar 2014-11-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyHuman–computer interactionBrain activity and meditation
• A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity
  In this paper, we present a brain-computer interface (BCI) driven motorized ankle-foot orthosis (BCI-MAFO), intended for stroke rehabilitation, and we demonstrate its efficacy in inducing cortical neuroplasticity in healthy subjects with a short intervention p…
  openalex Ren Xu, Ning Jiang, Natalie Mrachacz‐Kersting, Chuang Lin 等 2014-03-26 置信度 0.72 Brain–computer interfaceNeuroplasticityTranscranial magnetic stimulationPhysical medicine and rehabilitationElectroencephalography
• Brain–Computer Interfaces for Augmentative and Alternative Communication: A Tutorial
  Purpose: Brain-computer interfaces (BCIs) have the potential to improve communication for people who require but are unable to use traditional augmentative and alternative communication (AAC) devices. As BCIs move toward clinical practice, speech-language path…
  openalex Jonathan S. Brumberg, Kevin M. Pitt, Alana Mantie-Kozlowski, Jeremy D. Burnison 2018-01-10 置信度 0.72 Brain–computer interfaceAugmentative and alternative communicationComputer scienceInterface (matter)Scope (computer science)
• A Hybrid Brain–Computer Interface Based on the Fusion of P300 and SSVEP Scores
  The present study proposes a hybrid brain-computer interface (BCI) with 64 selectable items based on the fusion of P300 and steady-state visually evoked potential (SSVEP) brain signals. With this approach, row/column (RC) P300 and two-step SSVEP paradigms were…
  openalex Erwei Yin, Timothy Zeyl, Rami Saab, Tom Chau 等 2015-02-20 置信度 0.72 Brain–computer interfaceSupport vector machineComputer scienceInterface (matter)Linear discriminant analysis
• Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces
  Deep learning technology is rapidly spreading in recent years and has been extensive attempts in the field of Brain-Computer Interface (BCI). Though the accuracy of Motor Imagery (MI) BCI systems based on the deep learning have been greatly improved compared w…
  openalex Xin Deng, Boxian Zhang, Nian Yu, Ke Liu 等 2021-01-01 置信度 0.72 Brain–computer interfaceComputer scienceMotor imageryArtificial intelligenceConvolution (computer science)
• Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review
  Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI) which enables paralyzed people to directly communicate with and control external devices, due to its portability, high temporal resolution, ease of use and low cost. Of vari…
  openalex Yue Zhang, Sheng Quan Xie, He Wang, Zhiqiang Zhang 2020-08-18 置信度 0.72 Brain–computer interfaceComputer scienceVisual analyticsInterface (matter)Steady state (chemistry)
• A region-based P300 speller for brain-computer interface
  A brain-computer interface (BCI) is a system that conveys messages and commands directly from the human brain to a computer. The BCI system described in this work is based on the P300 wave. The P300 is a positive peak of an event-related potential (ERP) that o…
  openalex Reza Fazel-Rezai, Kamyar Abhari 2009-01-01 置信度 0.72 Brain–computer interfaceComputer scienceSpeech recognitionArtificial intelligenceEvent-related potential
• Brain–Computer Interfaces 1
  International audience
  openalex Maureen Clerc, Laurent Bougrain, Fabien Lotte 2016-07-29 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionCognitive scienceNeuroscience
• Meeting brain–computer interface user performance expectations using a deep neural network decoding framework
  openalex Michael A. Schwemmer, Nicholas Skomrock, Per B. Sederberg, Jordyn E. Ting 等 2018-09-03 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Neural decodingDecoding methods
• Brain–computer interfacing in disorders of consciousness
  BACKGROUND: Recent neuroimaging research has strikingly demonstrated the existence of covert awareness in some patients with disorders of consciousness (DoC). These findings have highlighted the potential for the development of simple brain-computer interfaces…
  openalex Camille Chatelle, Srivas Chennu, Quentin Noirhomme, Damian Cruse 等 2012-07-03 置信度 0.72 Brain–computer interfacePersistent vegetative stateMinimally conscious stateCovertInterfacing
• Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials
  We have developed and tested two electroencephalogram (EEG)-based brain-computer interfaces (BCI) for users to control a cursor on a computer display. Our system uses an adaptive algorithm, based on kernel partial least squares classification (KPLS), to associ…
  openalex Leonard J. Trejo, Roman Rosipal, Bryan Matthews 2006-06-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceSensorimotor rhythmArtificial intelligence
• Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces
  The robustness and computational load are the key challenges in motor imagery (MI) based on electroencephalography (EEG) signals to decode for the development of practical brain-computer interface (BCI) systems. In this study, we propose a robust and simple au…
  openalex Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan 等 2019-01-01 置信度 0.72 Computer scienceDecoding methodsElectroencephalographyMotor imageryMultivariate statistics
• Examining the Learning Efficiency by a Brain-Computer Interface System
  Brain research is one of the most significant research areas of the last decades, in which many developments and modern engineering technologies are applied. The electroencephalogram (EEG)-based brain activity observation processes are very promising and have …
  openalex 2018-03-30 置信度 0.72 Computer scienceInterface (matter)Brain–computer interfaceHuman–computer interactionArtificial intelligence
• A robust sensor-selection method for P300 brain–computer interfaces
  A brain-computer interface (BCI) is a specific type of human-computer interface that enables direct communication between human and computer through decoding of brain activity. As such, event-related potentials like the P300 can be obtained with an oddball par…
  openalex Hubert Cecotti, Bertrand Rivet, Marco Congedo, Christian Jutten 等 2011-01-19 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)ElectroencephalographySet (abstract data type)
• Brain–Computer Interfaces for Multimodal Interaction: A Survey and Principles
  For decades, brain–computer interfaces (BCIs) have been used for restoring the communication and mobility of disabled people through applications such as spellers, web browsers, and wheelchair controls. In parallel to advances in computational intelligence and…
  openalex Hayrettin Gürkök, Anton Nijholt 2011-04-26 置信度 0.72 Brain–computer interfaceModalitiesComputer scienceModality (human–computer interaction)Human–computer interaction
• Brain computer interface control via functional connectivity dynamics
  openalex Ian Daly, Slawomir J. Nasuto, Kevin Warwick 2011-06-04 置信度 0.72 Brain–computer interfaceComputer sciencePattern recognition (psychology)Interface (matter)Artificial intelligence
• Deep learning-based classification for brain-computer interfaces
  Brain-computer interface (BCI) is an emerging area of research that aims to improve the quality of human-computer applications. It has enormous scope in biomedical applications, neural rehabilitation, biometric authentication, educational programmes, and enter…
  openalex John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge 等 2017-10-01 置信度 0.72 Computer scienceArtificial intelligenceDeep learningSupport vector machineBrain–computer interface
• Review on brain-computer interface technologies in healthcare
  openalex Evelyn Karikari, Konstantin Koshechkin, Konstantin A. Koshechkin 2023-09-14 置信度 0.72 Interface (matter)Membrane biologyHealth careComputer scienceBrain–computer interface
• High-resolution EEG techniques for brain–computer interface applications
  openalex Febo Cincotti, Donatella Mattia, Fabio Aloise, Simona Bufalari 等 2007-07-11 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyMotor imageryArtificial intelligence
• Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces
  BACKGROUND: The fatigue that users suffer when using steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can cause a number of serious problems such as signal quality degradation and system performance deterioration, users' disc…
  openalex Teng Cao, Feng Wan, Chi Man Wong, Janir Nuno da Cruz 等 2014-03-12 置信度 0.72 ElectroencephalographyBrain–computer interfaceEvoked potentialComputer scienceSpeech recognition
• Review: Human Intracortical Recording and Neural Decoding for Brain–Computer Interfaces
  Brain-computer interfaces (BCIs) use neural information recorded from the brain for the voluntary control of external devices. The development of BCI systems has largely focused on improving functional independence for individuals with severe motor impairments…
  openalex David M. Brandman, Sydney S. Cash, Leigh R. Hochberg 2017-03-02 置信度 0.72 Brain–computer interfaceComputer scienceNeuroscienceHuman–computer interactionDecoding methods
• Enhancing performances of SSVEP-based brain–computer interfaces via exploiting inter-subject information
  OBJECTIVE: A new training-free framework was proposed for target detection in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) using joint frequency-phase coding. APPROACH: The key idea is to transfer SSVEP templates from the…
  openalex Peng Yuan, Xiaogang Chen, Yijun Wang, Xiaorong Gao 等 2015-06-01 置信度 0.72 Brain–computer interfaceComputer scienceCanonical correlationElectroencephalographyInformation transfer
• Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface
  A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to imagined speech, then processes and decodes these signals to produce a linguistic output in the form of phonemes, words, or sentences. Recent research has shown the pote…
  openalex Ciaran Cooney, Raffaella Folli, Damien Coyle 2018-09-22 置信度 0.72 NeurolinguisticsInterface (matter)Computer scienceNeurosciencePsychology
• Semi-autonomous Car Control Using Brain Computer Interfaces
  openalex Daniel Göhring, David Latotzky, Miao Wang, Raúl Rojas 2012-10-17 置信度 0.72 Brain–computer interfaceComputer scienceUsabilityInterface (matter)Obstacle avoidance
• Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials
  BACKGROUND: People with severe disabilities, e.g., due to neurodegenerative disease, depend on technology that allows for accurate wheelchair control. For those who cannot operate a wheelchair with a joystick, brain-computer interfaces (BCI) may offer a valuab…
  openalex Tobias Kaufmann, Andreas Herweg, Andrea Kübler 2014-01-01 置信度 0.72 WheelchairBrain–computer interfaceJoystickInterface (matter)Electroencephalography
• A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation
  Non-invasive EEG-based motor imagery brain-computer interface (MI-BCI) holds promise to effectively restore motor control to stroke survivors. This clinical study investigates the effects of MI-BCI for upper limb robotic rehabilitation compared to standard rob…
  openalex Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang 等 2009-09-01 置信度 0.72 RehabilitationMotor imageryBrain–computer interfacePhysical medicine and rehabilitationStroke (engine)
• Brain-Computer Interface-Based Humanoid Control: A Review
  A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI. This is majorly beneficial for those who …
  openalex Vinay Chamola, Ankur Vineet, Anand Nayyar, Eklas Hossain 2020-06-27 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Humanoid robotElectroencephalography
• Applications of brain-computer interfaces to the control of robotic and prosthetic arms
  openalex Marco Vilela, Leigh R. Hochberg 2020-01-01 置信度 0.72 Brain–computer interfaceRobotic armHuman–computer interactionComputer scienceRobot end effector
• Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects
  We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech di…
  openalex Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle 2011-01-01 置信度 0.72 Brain–computer interfaceClassifier (UML)TypingAmyotrophic lateral sclerosisPhysical medicine and rehabilitation
• Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control
  openalex Shinsuke Koyama, Steven M. Chase, Andrew Whitford, Meel Velliste 等 2009-11-10 置信度 0.72 Computer scienceCursor (databases)Brain–computer interfaceDecoding methodsAlgorithm
• Brain-Computer Interfaces Handbook: Technological and Theoretical Advances
  Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals,…
  openalex Chang S. Nam, Anton Nijholt, Fabien Lotte 2018-01-24 置信度 0.72 Brain–computer interfaceComputer scienceCognitionPerceptionInterface (matter)
• The P300-based brain–computer interface (BCI): Effects of stimulus rate
  openalex Dennis J. McFarland, William A. Sarnacki, George Townsend, Theresa M. Vaughan 等 2010-11-10 置信度 0.72 Brain–computer interfaceStimulus (psychology)Computer scienceGeneralizability theoryElectroencephalography
• Brain-computer interfaces for communication
  openalex Mariska J. Vansteensel, Beata Jarosiewicz 2020-01-01 置信度 0.72 Brain–computer interfaceUSableNeuroscienceElectroencephalographyPsychology
• Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
  Brain-computer interface (BCI) technology is rapidly developing and changing the paradigm of neurorestoration by linking cortical activity with control of an external effector to provide patients with tangible improvements in their ability to interact with the…
  openalex Michael L. Martini, Eric K. Oermann, Nicholas L. Opie, Fedor Panov 等 2019-07-24 置信度 0.72 MedicineModalitiesBrain–computer interfaceInterface (matter)Human–computer interaction
• Brain–computer interfaces in the continuum of consciousness
  PURPOSE OF REVIEW: To summarize recent developments and look at important future aspects of brain-computer interfaces. RECENT FINDINGS: Recent brain-computer interface studies are largely targeted at helping severely or even completely paralysed patients. The …
  openalex Andrea Kübler, Boris Kotchoubey 2007-12-01 置信度 0.72 ConsciousnessBrain–computer interfaceCognitionPersistent vegetative stateNeurophysiology
• A wavelet-based time–frequency analysis approach for classification of motor imagery for brain–computer interface applications
  Electroencephalogram (EEG) recordings during motor imagery tasks are often used as input signals for brain-computer interfaces (BCIs). The translation of these EEG signals to control signals of a device is based on a good classification of various kinds of ima…
  openalex Lei Qin, Bin He 2005-08-15 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceElectroencephalographyPattern recognition (psychology)
• Adaptive Classification for Brain Computer Interfaces
  In this paper we evaluate the performance of a new adaptive classifier for the use within a Brain Computer-Interface (BCI). The classifier can either be adaptive in a completely unsupervised manner or using unsupervised adaptation in conjunction with a neurona…
  openalex Julie Blumberg, Jörn Rickert, Stephan Waldert, Andreas Schulze‐Bonhage 等 2007-08-01 置信度 0.72 Computer scienceBrain–computer interfaceArtificial intelligenceHuman–computer interactionComputer architecture
• Combining brain–computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review
  openalex Wen Dong, Yali Fan, Sheng-Hsiou Hsu, Jian Xu 等 2020-09-02 置信度 0.72 Brain–computer interfaceRehabilitationVirtual realityInterface (matter)Computer science
• Electroencephalography (EEG)-Based Brain–Computer Interface (BCI): A 2-D Virtual Wheelchair Control Based on Event-Related Desynchronization/Synchronization and State Control
  This study aims to propose an effective and practical paradigm for a brain-computer interface (BCI)-based 2-D virtual wheelchair control. The paradigm was based on the multi-class discrimination of spatiotemporally distinguishable phenomenon of event-related d…
  openalex Dandan Huang, Kai Qian, Ding-Yu Fei, Wenchuan Jia 等 2012-04-05 置信度 0.72 Brain–computer interfaceMotor imageryWheelchairElectroencephalographyComputer science
• Brain–Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?
  The development of brain-computer interface-controlled exoskeletons promises new treatment strategies for neurorehabilitation after stroke or spinal cord injury. By converting brain/neural activity into control signals of wearable actuators, brain/neural exosk…
  openalex Annalisa Colucci, Mareike Vermehren, Alessia Cavallo, Cornelius Angerhöfer 等 2022-11-25 置信度 0.72 NeurorehabilitationExoskeletonBrain–computer interfacePhysical medicine and rehabilitationRehabilitation
• Brain–computer interface: Changes in performance using virtual reality techniques
  openalex Ricardo Ron-Angevín, Antonio Díaz Estrella 2008-11-07 置信度 0.72 Brain–computer interfaceVirtual realityInterface (matter)Human–computer interactionComputer science
• Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance
  People can learn to control electroencephalogram (EEG) features consisting of sensorimotor rhythm amplitudes and can use this control to move a cursor in one or two dimensions to a target on a screen. In the standard one-dimensional application, the cursor mov…
  openalex Dennis J. McFarland, Jonathan R. Wolpaw 2005-09-01 置信度 0.72 Cursor (databases)Brain–computer interfaceComputer scienceSensorimotor rhythmMotor imagery
• Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control
  openalex Matthew D. Golub, Steven M. Chase, Aaron P. Batista, Byron M. Yu 2016-01-19 置信度 0.72 Brain–computer interfaceCognitionNeuroscienceInterface (matter)Control (management)
• Brain-computer interfaces: military, neurosurgical, and ethical perspective
  Brain-computer interfaces (BCIs) are devices that acquire and transform neural signals into actions intended by the user. These devices have been a rapidly developing area of research over the past 2 decades, and the military has made significant contributions…
  openalex Ivan S. Kotchetkov, Brian Y. Hwang, Geoffrey Appelboom, Christopher P. Kellner 等 2010-05-01 置信度 0.72 Brain–computer interfacePerspective (graphical)Computer scienceNeuroethicsHuman–computer interaction
• A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control
  openalex Lei Cao, Jie Li, Hongfei Ji, Changjun Jiang 2014-04-05 置信度 0.72 WheelchairBrain–computer interfaceComputer scienceMotor imageryInterface (matter)
• Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain–computer interface
  This work presents a brain-computer interface (BCI) used to operate a robotic wheelchair. The experiments were performed on 15 subjects (13 of them healthy). The BCI is based on steady-state visual-evoked potentials (SSVEP) and the stimuli flickering are perfo…
  openalex Pablo Díez, Sandra Müller, Vicente Mut, Eric Laciar 等 2013-01-20 置信度 0.72 Brain–computer interfaceWheelchairFlickerInterface (matter)Electroencephalography
• Human Error in P300 Speller Paradigm for Brain-Computer Interface
  A brain-computer interface (BCI) is a system that conveys messages and commands directly from the human brain to a computer. The BCI system described in this work is based on P300 speller BCI paradigm designed by Farwell and Donchin in 1988. It has been the mo…
  openalex Reza Fazel-Rezai 2007-08-01 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionInterface (matter)Speech recognition
• A time-series prediction approach for feature extraction in a brain-computer interface
  This paper presents a feature extraction procedure (FEP) for a brain-computer interface (BCI) application where features are extracted from the electroencephalogram (EEG) recorded from subjects performing right and left motor imagery. Two neural networks (NNs)…
  openalex Damien Coyle, Girijesh Prasad, T.M. McGinnity 2005-12-01 置信度 0.72 Motor imageryBrain–computer interfaceAutoregressive modelLinear discriminant analysisArtificial intelligence
• Ethical issues with brain-computer interfaces
  Brain-computer interfaces (BCIs), or brain-machine interfaces (BMIs) involve real-time direct connections between the
  openalex Walter Glannon 2014-07-30 置信度 0.72 Brain–computer interfacePsychologyComputer scienceHuman–computer interactionNeuroscience