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• Preprocessing and Meta-Classification for Brain-Computer Interfaces
  A brain-computer interface (BCI) is a system which allows direct translation of brain states into actions, bypassing the usual muscular pathways. A BCI system works by extracting user brain signals, applying machine learning algorithms to classify the user's b…
  openalex Paul S. Hammon, Virginia R. de 2007-03-01 置信度 0.72 Brain–computer interfacePreprocessorComputer scienceArtificial intelligenceMachine learning
• LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability
  Electroencephalography (EEG)-based brain-computer interfaces (BCIs) pose a challenge for decoding due to their low spatial resolution and signal-to-noise ratio. Typically, EEG-based recognition of activities and states involves the use of prior neuroscience kn…
  openalex Zhengqing Miao, Meirong Zhao, Xin Zhang, Dong Ming 2023-06-01 置信度 0.72 InterpretabilityComputer scienceBrain–computer interfaceElectroencephalographyArtificial intelligence
• Brain-Computer Interface: Applications to Speech Decoding and Synthesis to Augment Communication
  openalex Shiyu Luo, Qinwan Rabbani, Nathan E. Crone 2022-01-01 置信度 0.72 Locked-in syndromeBrain–computer interfaceComputer scienceBrain activity and meditationInterface (matter)
• Brain-computer interface (BCI) operation: signal and noise during early training sessions
  openalex Dennis J. McFarland, William A. Sarnacki, Theresa M. Vaughan, Jonathan R. Wolpaw 2004-08-10 置信度 0.72 Brain–computer interfaceCursor (databases)Sensorimotor rhythmElectroencephalographyComputer science
• An Empirical Bayesian Framework for Brain–Computer Interfaces
  Current brain-computer interface (BCI) systems suffer from high complex feature selectors in comparison to simple classifiers. Meanwhile, neurophysiological and experimental information are hard to be included in these two separate phases. In this paper, based…
  openalex Xu Lei, Ping Yang, Dezhong Yao 2009-07-22 置信度 0.72 Brain–computer interfacePrior probabilityLinear discriminant analysisComputer scienceArtificial intelligence
• Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton
  In this paper, we propose to use brain-computer interface (BCI) to control a lower-limb exoskeleton. The exoskeleton follows the wearer's motion intention through decoding of electroencephalography (EEG) signals and multi-modal cognition. Motion patterns as st…
  openalex Can Wang, Xinyu Wu, Zhouyang Wang, Yue Ma 2018-01-01 置信度 0.72 Brain–computer interfaceExoskeletonComputer scienceMotor imageryElectroencephalography
• Adapting the P300-Based Brain–Computer Interface for Gaming: A Review
  The P300-based brain-computer interface (P300 BCI) is currently a very popular topic in assistive technology development. However, only a few simple P300 BCI-based games have been designed so far. Here, we analyze the shortcomings of this BCI in gaming applica…
  openalex Alexander Kaplan, Sergei L. Shishkin, И.П. Ганин, I. A. Basyul 等 2013-01-03 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionFlexibility (engineering)
• Electrocorticographically controlled brain–computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants
  Brain-computer interface (BCI) technology can offer individuals with severe motor disabilities greater independence and a higher quality of life. The BCI systems take recorded brain signals and translate them into real-time actions, for improved communication,…
  openalex Elizabeth A. Felton, J. Adam Wilson, Justin C. Williams, P. Charles Garell 2007-03-01 置信度 0.72 Brain–computer interfaceElectrocorticographyMotor imageryMedicineSensory system
• Brain Computer Interface: A Review
  openalex Mohamed Mostafa Fouad, Khalid Amin, Nashwa El-Bendary, Aboul Ella Hassanien 等 2014-11-01 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceCognitive scienceHuman–computer interaction
• Classifying EEG for brain computer interfaces using Gaussian processes
  openalex Mingjun Zhong, Fabien Lotte, Mark Girolami, Anatole Lécuyer 2007-11-26 置信度 0.72 Support vector machineComputer sciencePattern recognition (psychology)Artificial intelligenceBrain–computer interface
• A portable auditory P300 brain–computer interface with directional cues
  openalex Ivo Käthner, Carolin A. Ruf, Emanuele Pasqualotto, Christoph Braun 等 2012-09-07 置信度 0.72 Brain–computer interfaceHeadphonesSpellingComputer scienceAudiology
• A Survey on the Use of Haptic Feedback for Brain-Computer Interfaces and Neurofeedback
  Neurofeedback (NF) and brain-computer interface (BCI) applications rely on the registration and real-time feedback of individual patterns of brain activity with the aim of achieving self-regulation of specific neural substrates or control of external devices. …
  openalex Mathis Fleury, Giulia Lioi, Christian Barillot, Anatole Lécuyer 2020-06-23 置信度 0.72 Brain–computer interfaceHaptic technologyNeurofeedbackComputer scienceMotor imagery
• Exploring the Use of Brain‐Computer Interfaces in Stroke Neurorehabilitation
  With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strategic plans f…
  openalex Siyu Yang, Ruobing Li, Hongtao Li, Ke Xu 等 2021-01-01 置信度 0.72 NeurorehabilitationStroke (engine)Physical medicine and rehabilitationMedicineNeuroscience
• Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
  openalex Lichao Xu, Minpeng Xu, Tzyy‐Ping Jung, Dong Ming 2021-04-10 置信度 0.72 Brain–computer interfaceComputer scienceDecoding methodsEncoding (memory)Interface (matter)
• Neurophysiological substrates of stroke patients with motor imagery-based brain-computer interface training
  We investigated the efficacy of motor imagery-based Brain Computer Interface (MI-based BCI) training for eight stroke patients with severe upper extremity paralysis using longitudinal clinical assessments. The results were compared with those of a control grou…
  openalex Mingfen Li, Ye Liu, Yi Wu, Sirao Liu 等 2013-10-01 置信度 0.72 Motor imageryBrain–computer interfacePhysical medicine and rehabilitationRehabilitationElectroencephalography
• Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI)
  Electroencephalogram (EEG) signals are frequently used in brain-computer interfaces (BC!s), but they are easily contaminated by artifacts and noise, so preprocessing must be done before they are fed into a machine learning algorithm for classification or regre…
  openalex Dongrui Wu, Jung‐Tai King, Chun‐Hsiang Chuang, Chin‐Teng Lin 等 2017-03-28 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligencePattern recognition (psychology)
• EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces
  Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs). Although Transformers are popular for their long-term sequential learning abilit…
  openalex Yi Ding, Yong Li, Hao Sun, Rui Liu 等 2024-11-21 置信度 0.72 Computer scienceElectroencephalographyBrain–computer interfaceTransformerSpeech recognition
• Designing for uncertain, asymmetric control: Interaction design for brain–computer interfaces
  openalex John Williamson, Roderick Murray‐Smith, Benjamin Blankertz, Matthias Krauledat 等 2009-06-19 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Bandwidth (computing)Constraint (computer-aided design)
• An independent brain–computer interface using covert non-spatial visual selective attention
  In this paper, a novel independent brain-computer interface (BCI) system based on covert non-spatial visual selective attention of two superimposed illusory surfaces is described. Perception of two superimposed surfaces was induced by two sets of dots with dif…
  openalex Dan Zhang, Alexander Maÿe, Xiaorong Gao, Bo Hong 等 2010-01-19 置信度 0.72 Brain–computer interfaceCovertHeadsetComputer scienceInterface (matter)
• A high performance sensorimotor beta rhythm-based brain–computer interface associated with human natural motor behavior
  UNLABELLED: To explore the reliability of a high performance brain-computer interface (BCI) using non-invasive EEG signals associated with human natural motor behavior does not require extensive training. We propose a new BCI method, where users perform either…
  openalex Ou Bai, Peter Lin, Sherry Vorbach, Mary Kay Floeter 等 2007-12-11 置信度 0.72 Brain–computer interfaceRhythmSensorimotor rhythmBeta RhythmComputer science
• Visual stimuli for the P300 brain–computer interface: A comparison of white/gray and green/blue flicker matrices
  openalex Kouji Takano, Tomoaki Komatsu, Naoki Hata, Yasoichi Nakajima 等 2009-06-28 置信度 0.72 Gray (unit)FlickerBrain–computer interfaceNeuroscienceAudiology
• Barriers to and mediators of brain–computer interface user acceptance: focus group findings
  Brain-computer interfaces (BCI) are designed to enable individuals with severe motor impairments such as amyotrophic lateral sclerosis (ALS) to communicate and control their environment. A focus group was conducted with individuals with ALS (n=8) and their car…
  openalex Stefanie Blain‐Moraes, Riley Schaff, Kirsten L. Gruis, Jane E. Huggins 等 2012-03-29 置信度 0.72 Focus groupBrain–computer interfacePsychologyInterface (matter)Applied psychology
• Bidirectional brain-computer interfaces
  openalex Christopher Hughes, Angelica J. Herrera, Robert A. Gaunt, Jennifer L. Collinger 2020-01-01 置信度 0.72 Brain–computer interfaceSomatosensory systemSensory systemNeuroscienceInterface (matter)
• EEG-based Brain-Computer Interfaces: An Overview of Basic Concepts and Clinical Applications in Neurorehabilitation
  Some patients are no longer able to communicate effectively or even interact with the outside world in ways that most of us take for granted. In the most severe cases, tetraplegic or post-stroke patients are literally 'locked in' their bodies, unable to exert …
  openalex Sérgio Machado, Fernanda Santos Araújo, Flávia Paes, Bruna Velasques 等 2010-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyNeurorehabilitationNeuroscienceBrain activity and meditation
• A review of user training methods in brain computer interfaces based on mental tasks
  Mental-tasks based brain-computer interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through mental tasks. While MT-BCIs are promising for many applications, they are still barely used outside labo…
  openalex Aline Roc, Léa Pillette, Jelena Mladenović, Camille Benaroch 等 2020-11-12 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionCategorizationProcess (computing)
• Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface
  A common assumption in traditional supervised learning is the similar probability distribution of data between the training phase and the testing/operating phase. When transitioning from the training to testing phase, a shift in the probability distribution of…
  openalex Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad 2015-11-28 置信度 0.72 CovariateBrain–computer interfaceComputer scienceArtificial intelligenceMotor imagery
• Privacy-Preserving Brain–Computer Interfaces: A Systematic Review
  A brain–computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, and so on. Most research so far focuses on making BCIs m…
  openalex Kun Xia, Włodzisław Duch, Yu Sun, Kedi Xu 等 2022-06-27 置信度 0.72 Computer scienceComputer securityHuman–computer interactionInternet privacy
• Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis
  We have developed a novel approach using source analysis for classifying motor imagery tasks. Two-equivalent-dipoles analysis was proposed to aid classification of motor imagery tasks for brain-computer interface (BCI) applications. By solving the electroencep…
  openalex Baharan Kamousi, Zhongming Liu, Bin He 2005-06-01 置信度 0.72 Brain–computer interfaceMotor imageryElectroencephalographyComputer scienceInterface (matter)
• A P300-Based Brain-Computer Interface for Improving Attention
  A Brain-computer Interface (BCI) can be used as a neurofeedback training tool to improve cognitive performance. BCIs aim to improve the effectiveness and efficiency of the conventional neurofeedback methods by focusing on the self-regulation of individualized …
  openalex Mahnaz Arvaneh, Ian H. Robertson, Tomás Ward 2019-01-04 置信度 0.72 NeurofeedbackBrain–computer interfaceSensorimotor rhythmComputer scienceInterface (matter)
• Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients
  Rehabilitation for stroke patients with severe motor impairments (e.g., inability to perform wrist or finger extension on the affected side) is burdensome and difficult because most current rehabilitation options require some volitional movement to retrain the…
  openalex Athanasios Vourvopoulos, Octavio Marin Pardo, Stéphanie Lefebvre, Meghan Neureither 等 2019-06-19 置信度 0.72 NeurofeedbackBrain–computer interfacePhysical medicine and rehabilitationRehabilitationMotor imagery
• Brain-Computer Interfaces
  The world of fiction often depicts mad scien- tists controlling robots with their m' ds, wreak- ing havoc and destruction in the liv s of many. Although such manifestations of disa ter inspire fear in many, the age of the cyborg, or the melding _ of brain and …
  openalex Khushbu Aggarwal 2009-10-29 置信度 0.72 Brain–computer interfaceInterfacingSpellBrain functionNeuroscience
• P300-based brain–computer interface for environmental control: an asynchronous approach
  Brain-computer interface (BCI) systems allow people with severe motor disabilities to communicate and interact with the external world. The P300 potential is one of the most used control signals for EEG-based BCIs. Classic P300-based BCIs work in a synchronous…
  openalex Fabio Aloise, Francesca Schettini, Pietro Aricò, Francesco Leotta 等 2011-03-24 置信度 0.72 Brain–computer interfaceComputer scienceAsynchronous communicationInterface (matter)Human–computer interaction
• A covert attention P300-based brain–computer interface: Geospell
  The Farwell and Donchin P300 speller interface is one of the most widely used brain-computer interface (BCI) paradigms for writing text. Recent studies have shown that the recognition accuracy of the P300 speller decreases significantly when eye movement is im…
  openalex Fabio Aloise, Pietro Aricò, Francesca Schettini, Angela Riccio 等 2012-03-29 置信度 0.72 Brain–computer interfaceCovertInterface (matter)SpellingComputer science
• Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning
  Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic …
  openalex Chin‐Teng Lin, Yu-Chieh Chen, Teng‐Yi Huang, Tien-Ting Chiu 等 2008-04-16 置信度 0.72 BluetoothComputer scienceBiosignalWirelessInterface (matter)
• Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface
  A new method for steady-state visual evoked potentials (SSVEPs) frequency recognition is proposed to enhance the performance of SSVEP-based brain-computer interface (BCI). Correlated component analysis (CORCA) is introduced, which originally was designed to fi…
  openalex Yangsong Zhang, Daqing Guo, Fali Li, Erwei Yin 等 2018-04-13 置信度 0.72 Brain–computer interfaceComputer scienceComponent analysisBenchmark (surveying)Interface (matter)
• Brain computer interface with the P300 speller: Usability for disabled people with amyotrophic lateral sclerosis
  openalex Violaine Guy, Marie‐Hélène Soriani, Mariane Bruno, Théodore Papadopoulo 等 2017-10-12 置信度 0.72 Amyotrophic lateral sclerosisBrain–computer interfaceUsabilitySpellingInterface (matter)
• Ethical Issues in Brain–Computer Interface Research, Development, and Dissemination
  The steadily growing field of brain-computer interfacing (BCI) may develop useful technologies, with a potential impact not only on individuals, but also on society as a whole. At the same time, the development of BCI presents significant ethical and legal cha…
  openalex Rutger Vlek, David A. Steines, Dyana Szibbo, Andrea Kübler 等 2012-06-01 置信度 0.72 Brain–computer interfaceMultidisciplinary approachSet (abstract data type)Engineering ethicsInterfacing
• A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface
  Accurate and robust classification of Motor Imagery (MI) from Electroencephalography (EEG) signals is among the most challenging tasks in Brain-Computer Interface (BCI) field. To address this challenge, this paper proposes a novel, neuro-physiologically inspir…
  openalex Ravikiran Mane, Neethu Robinson, A. P. Vinod, Seong–Whan Lee 等 2020-07-01 置信度 0.72 Discriminative modelBrain–computer interfaceComputer scienceMotor imageryConvolutional neural network
• An Auditory-Tactile Visual Saccade-Independent P300 Brain–Computer Interface
  Most P300 event-related potential (ERP)-based brain-computer interface (BCI) studies focus on gaze shift-dependent BCIs, which cannot be used by people who have lost voluntary eye movement. However, the performance of visual saccade-independent P300 BCIs is ge…
  openalex Erwei Yin, Timothy Zeyl, Rami Saab, Dewen Hu 等 2015-11-05 置信度 0.72 Brain–computer interfaceSaccadeComputer scienceInterface (matter)Gaze
• Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction
  Brain-computer interfaces (BCIs) have long been seen as control interfaces that translate changes in brain activity, produced either by means of a volitional modulation or in response to an external stimulation. However, recent trends in the BCI and neurofeedb…
  openalex Maryam Alimardani, Kazuo Hiraki 2020-10-02 置信度 0.72 Computer scienceHuman–computer interactionHuman–robot interactionRobotBrain–computer interface
• Wired Emotions: Ethical Issues of Affective Brain–Computer Interfaces
  Ethical issues concerning brain-computer interfaces (BCIs) have already received a considerable amount of attention. However, one particular form of BCI has not received the attention that it deserves: Affective BCIs that allow for the detection and stimulatio…
  openalex Steffen Steinert, Orsolya Friedrich 2019-03-13 置信度 0.72 Philosophy of scienceNeuroethicsPsychologyEngineering ethicsAffect (linguistics)
• Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm
  OBJECTIVE: Tactile brain-computer interface (BCI) systems can provide new communication and control options for patients with impairments of eye movements or vision. One of the most common modalities used in these BCIs is the P300 potential. Until now, tactile…
  openalex Jing Jin, Zongmei Chen, Ren Xu, Yangyang Miao 等 2020-01-09 置信度 0.72 Brain–computer interfaceParadigm shiftSensory stimulation therapyModalitiesInterface (matter)
• 30+ years of P300 brain–computer interfaces
  Brain-computer interfaces (BCIs) directly measure brain activity with no physical movement and translate the neural signals into messages. BCIs that employ the P300 event-related brain potential often have used the visual modality. The end user is presented wi…
  openalex Brendan Z. Allison, Andrea Kübler, Jing Jin 2020-04-17 置信度 0.72 Brain–computer interfacePsychologyEvent-related potentialModality (human–computer interaction)Electroencephalography
• Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface
  A major challenge in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the inherent nonstationarities in the EEG data. Variations of the signal properties from intra and inter sessions often lead to deteriorated BCI performances, as features…
  openalex Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek 2013-01-29 置信度 0.72 Brain–computer interfaceComputer scienceDivergence (linguistics)Invariant (physics)Pattern recognition (psychology)
• A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials
  openalex Ning Jiang, Leonardo Gizzi, Natalie Mrachacz‐Kersting, Kim Dremstrup 等 2014-05-20 置信度 0.72 Brain–computer interfaceMovement (music)Physical medicine and rehabilitationGaitInterface (matter)
• Feature Selection for Brain-Computer Interfaces
  openalex Irena Koprinska 2010-01-01 置信度 0.72 Feature selectionComputer scienceRanking (information retrieval)Artificial intelligenceFeature (linguistics)
• Is Motor‐Imagery Brain‐Computer Interface Feasible in Stroke Rehabilitation?
  In the past 3 decades, interest has increased in brain-computer interface (BCI) technology as a tool for assisting, augmenting, and rehabilitating sensorimotor functions in clinical populations. Initially designed as an assistive device for partial or total bo…
  openalex Wei‐Peng Teo, Effie Chew 2014-01-12 置信度 0.72 Brain–computer interfaceMotor imageryElectroencephalographyRehabilitationPhysical medicine and rehabilitation
• Hybrid brain–computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury
  openalex Martin Rohm, Matthias Schneiders, Constantin Müller, Alex Kreilinger 等 2013-09-13 置信度 0.72 Brain–computer interfacePhysical medicine and rehabilitationRehabilitationFunctional electrical stimulationSpinal cord injury
• A memristor-based adaptive neuromorphic decoder for brain–computer interfaces
  openalex Zhengwu Liu, Jie Mei, Jianshi Tang, Minpeng Xu 等 2025-02-17 置信度 0.72 Neuromorphic engineeringMemristorComputer scienceBrain–computer interfaceComputer architecture
• Improved signal processing approaches in an offline simulation of a hybrid brain–computer interface
  openalex Clemens Brunner, Brendan Z. Allison, Dean J. Krusienski, Vera Kaiser 等 2010-02-12 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Task (project management)Brain activity and meditation
• A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces
  Gradient boosting is a machine learning method, that builds one strong classifier from many weak classifiers. In this work, an algorithm based on gradient boosting is presented, that detects event-related potentials in single electroencephalogram (EEG) trials.…
  openalex Ulrike Hoffmann, G. Garcia, Jean-Marc Vésin, Karin Diserens 等 2005-04-19 置信度 0.72 Brain–computer interfaceBoosting (machine learning)Computer scienceElectroencephalographyArtificial intelligence
• Online EEG Classification of Covert Speech for Brain–Computer Interfacing
  Brain-computer interfaces (BCIs) for communication can be nonintuitive, often requiring the performance of hand motor imagery or some other conversation-irrelevant task. In this paper, electroencephalography (EEG) was used to develop two intuitive online BCIs …
  openalex Alborz Rezazadeh Sereshkeh, Robert Trott, Aurélien Bricout, Tom Chau 2017-06-13 置信度 0.72 Brain–computer interfaceCovertElectroencephalographyComputer scienceSpeech recognition
• Answering questions with an electroencephalogram-based brain-computer interface
  openalex Laurie A. Miner, Dennis J. McFarland, Jonathan R. Wolpaw 1998-09-01 置信度 0.72 Cursor (databases)ElectroencephalographyBrain–computer interfaceComputer scienceSensorimotor rhythm
• A Wearable Brain–Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0
  This paper proposes a wearable monitoring system for inspection in the framework of Industry 4.0. The instrument integrates augmented reality (AR) glasses with a noninvasive single-channel brain-computer interface (BCI), which replaces the classical input inte…
  openalex Leopoldo Angrisani, Pasquale Arpaïa, Antonio Espósito, Nicola Moccaldi 2019-05-03 置信度 0.72 Brain–computer interfaceInterface (matter)Wearable computerAugmented realityComputer science
• Detecting awareness in patients with disorders of consciousness using a hybrid brain–computer interface
  OBJECTIVE: The bedside detection of potential awareness in patients with disorders of consciousness (DOC) currently relies only on behavioral observations and tests; however, the misdiagnosis rates in this patient group are historically relatively high. In thi…
  openalex Jiahui Pan, Qiuyou Xie, Yanbin He, Fei Wang 等 2014-08-01 置信度 0.72 Brain–computer interfacePersistent vegetative stateConsciousnessInterface (matter)Computer science
• Classification of selective attention to auditory stimuli: Toward vision-free brain–computer interfacing
  openalex Do-Won Kim, Han‐Jeong Hwang, Jeong‐Hwan Lim, Yong‐Ho Lee 等 2011-02-17 置信度 0.72 Brain–computer interfaceElectroencephalographyStimulus (psychology)Speech recognitionComputer science
• Autonomy infused teleoperation with application to brain computer interface controlled manipulation
  openalex Katharina Muelling, Arun Venkatraman, Jean‐Sebastien Valois, John E. Downey 等 2017-02-13 置信度 0.72 Computer scienceTeleoperationHuman–computer interactionInterface (matter)Brain–computer interface
• Emotional brain-computer interfaces
  Research in brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI appli…
  openalex Gary Garcia‐Molina, Tsvetomira Tsoneva, Anton Nijholt 2009-09-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyInterface (matter)Brain activity and meditation
• Advantages of closed-loop calibration in intracortical brain–computer interfaces for people with tetraplegia
  OBJECTIVE: Brain-computer interfaces (BCIs) aim to provide a means for people with severe motor disabilities to control their environment directly with neural activity. In intracortical BCIs for people with tetraplegia, the decoder that maps neural activity to…
  openalex Beata Jarosiewicz, Nicolas Y. Masse, Daniel Bacher, Sydney S. Cash 等 2013-07-10 置信度 0.72 TetraplegiaBrain–computer interfaceComputer scienceCalibrationNeural activity
• Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
  OBJECTIVE: We investigated the long-term functional stability and home use of a fully implanted electrocorticography (ECoG)-based brain-computer interface (BCI) for communication by an individual with late-stage Amyotrophic Lateral Sclerosis (ALS). METHODS: Da…
  openalex Elmar Pels, Erik J. Aarnoutse, Sacha Leinders, Zac V. Freudenburg 等 2019-07-27 置信度 0.72 ElectrocorticographyBrain–computer interfaceAmyotrophic lateral sclerosisNeurostimulationSIGNAL (programming language)
• A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery
  openalex Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Hyohyeong Kang 等 2014-05-02 置信度 0.72 Motor imageryBrain–computer interfaceElectroencephalographyComputer scienceInterface (matter)
• Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions
  Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modality's drawbacks and yield reliable results by extracting complementary features. In particular, integration of el…
  openalex Sangtae Ahn, Sung Chan Jun 2017-10-18 置信度 0.72 Brain–computer interfaceElectroencephalographyModalitiesModality (human–computer interaction)Computer science
• Effect of mindfulness meditation on brain–computer interface performance
  openalex Lee-Fan Tan, Zoltán Dienes, Ashok Jansari, Sing-Yau Goh 2013-11-22 置信度 0.72 MeditationMindfulnessPsychologyBrain–computer interfaceMindfulness meditation
• Brain-computer interfaces — the key for the conscious brain locked into a paralyzed body
  openalex Andrea Kübler, Nicola Neumann 2005-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceHuman–computer interactionBrain activity and meditation
• SSVEP recognition using common feature analysis in brain–computer interface
  openalex Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang 等 2014-04-13 置信度 0.72 Canonical correlationBrain–computer interfaceComputer sciencePattern recognition (psychology)Artificial intelligence
• Brain–Computer Interface Software: A Review and Discussion
  Software is a critical component of brain-computer interfaces (BCIs). While BCI hardware enables the retrieval of brain signals, BCI software is required to analyze these signals, produce output, and provide feedback. Users from multiple research areas have ad…
  openalex Pierce Stegman, Chris Crawford, Marvin Andujar, Anton Nijholt 等 2020-02-12 置信度 0.72 Brain–computer interfaceComputer scienceSoftwareInterface (matter)Human–computer interaction
• Brain-computer interface-based control of closed-loop brain stimulation: attitudes and ethical considerations
  Patients who have undergone deep brain stimulation (DBS) for emerging indications have unique perspectives on ethical challenges that may shape trial design and identify key design features for BCI-driven DBS systems. DBS research in cognitive and emotional di…
  openalex Eran Klein, Sara Goering, Josh Gagne, Conor Shea 等 2016-07-02 置信度 0.72 Deep brain stimulationPsychologyCognitionNeuroethicsSet (abstract data type)
• Key considerations in designing a speech brain-computer interface
  • Speech BCI technologies can be envisioned to restore speech from thoughts in aphasic people with preserved cortical areas. • The inferior frontal cortical region is a good candidate for a speech BCI. • Articulatory-based speech synthesis may be adequate for …
  openalex Florent Bocquelet, Thomas Hueber, Laurent Girin, Stéphan Chabardès 等 2016-11-01 置信度 0.72 Computer scienceCovertBrain–computer interfaceKey (lock)Decoding methods
• Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing
  openalex Stephen Roberts, W.D. Penny, Iead Rezek 1999-01-01 置信度 0.72 Brain–computer interfaceInterfacingElectroencephalographyComputer scienceScalp
• Evolution of brain–computer interface: action potentials, local field potentials and electrocorticograms
  openalex Daniel W. Moran 2010-10-18 置信度 0.72 Brain–computer interfaceElectrocorticographyLocal field potentialNeuroscienceElectroencephalography
• The ethics of brain–computer interfaces
  openalex Liam Drew 2019-07-24 置信度 0.72 NeuroethicsComputer scienceEthical issuesEngineering ethicsHuman–computer interaction
• Implementing Over 100 Command Codes for a High-Speed Hybrid Brain-Computer Interface Using Concurrent P300 and SSVEP Features
  OBJECTIVE: Recently, electroencephalography (EEG)- based brain-computer interfaces (BCIs) have made tremendous progress in increasing communication speed. However, current BCI systems could only implement a small number of command codes, which hampers their ap…
  openalex Minpeng Xu, Jin Han, Yijun Wang, Tzyy‐Ping Jung 等 2020-03-03 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)ElectroencephalographyHuman–computer interaction
• Efficacy of brain-computer interface-driven neuromuscular electrical stimulation for chronic paresis after stroke
  OBJECTIVE: Brain computer interface technology is of great interest to researchers as a potential therapeutic measure for people with severe neurological disorders. The aim of this study was to examine the efficacy of brain computer interface, by comparing con…
  openalex Masahiko Mukaino, Takashi Ono, Katsuro Shindo, Takuya Fujiwara 等 2014-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyFunctional electrical stimulationPhysical medicine and rehabilitationStimulation
• Brain–computer interfaces in amyotrophic lateral sclerosis: A metanalysis
  openalex Mauro Marchetti, Konstantinos Priftis 2014-10-03 置信度 0.72 Brain–computer interfaceAmyotrophic lateral sclerosisMedicinePhysical medicine and rehabilitationNeuroimaging
• Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation
  openalex Kai Keng Ang, Cuntai Guan, Kok Soon Phua, Chuanchu Wang 等 2015-02-23 置信度 0.72 Motor imageryRehabilitationBrain–computer interfaceTranscranial direct-current stimulationPhysical medicine and rehabilitation
• Training locked-in patients: a challenge for the use of brain-computer interfaces
  Training severely paralyzed patients to use a brain-computer interface (BCI) for communication poses a number of issues and problems. Over the past six years, we have trained 11 patients to self-regulate their slow cortical brain potentials and to use this ski…
  openalex Nicola Neumann, Andrea Kübler 2003-06-01 置信度 0.72 Brain–computer interfaceCursor (databases)Interface (matter)PsychologyComputer science
• Recent advances in brain-computer interfaces
  A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, a BCI allows users to act on their environment by using only brain activity, without using peripheral nerve…
  openalex Touradj Ebrahimi 2007-01-01 置信度 0.72 Brain–computer interfaceComputer scienceBrain activity and meditationHuman–computer interactionInterface (matter)
• An Efficient ERP-Based Brain-Computer Interface Using Random Set Presentation and Face Familiarity
  Event-related potential (ERP)-based P300 spellers are commonly used in the field of brain-computer interfaces as an alternative channel of communication for people with severe neuro-muscular diseases. This study introduces a novel P300 based brain-computer int…
  openalex Seul-Ki Yeom, Siamac Fazli, Klaus‐Robert Müller, Seong–Whan Lee 2014-11-10 置信度 0.72 Brain–computer interfaceComputer scienceEvent-related potentialFluencyRapid serial visual presentation
• Improving Transfer Rates in Brain Computer Interfacing: A Case Study
  In this paper we present results of a study on brain computer interfacing. We adopted an approach of Farwell & Donchin [4], which we tried to improve in several aspects. The main objective was to improve the transfer rates based on offline analysis of EEG-data…
  openalex Peter Meinicke, Matthias Kaper, Florian Hoppe, Manfred Heumann 等 2002-01-01 置信度 0.72 InterfacingComputer scienceBrain–computer interfaceDiscriminative modelRealization (probability)
• Current Challenges for the Practical Application of Electroencephalography-Based Brain–Computer Interfaces
  Abstract Although recent brain-computer interface (BCI) studies have achieved tremendous progress in increasing communication commands, measuring the level of sub-microvolt of EEG amplitude, and so on, it is still challenging to make the leap from the lab to t…
  openalex Minpeng Xu, Feng He, Tzyy‐Ping Jung, Xiaosong Gu 等 2021-11-22 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Human–computer interaction
• State-of-the-art non-invasive brain–computer interface for neural rehabilitation: A review
  Brain–computer interface (BCI) is a novel communication method between brain and machine. It enables signals from the human brain to influence or control external devices. Currently, much research interest is focused on the BCI-based neural rehabilitation of p…
  openalex Miaomiao Zhuang, Qingheng Wu, Feng Wan, Yong Hu 2020-03-01 置信度 0.72 Brain–computer interfaceNeurofeedbackPhysical medicine and rehabilitationRehabilitationElectroencephalography
• Graz brain-computer interface II: towards communication between humans and computers based on online classification of three different EEG patterns
  openalex J. Kalcher, Doris Flotzinger, Ch. Neuper, S. Gölly 等 1996-09-01 置信度 0.72 Brain–computer interfaceElectroencephalographyInterface (matter)Computer scienceOnline and offline
• Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces
  Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of targ…
  openalex Dong-Ok Won, Han-Jeong Hwang, Dongmin Kim, Klaus‐Robert Müller 等 2017-08-11 置信度 0.72 GazeRapid serial visual presentationComputer sciencePresentation (obstetrics)Motion (physics)
• Automated EEG feature selection for brain computer interfaces
  A brain computer interface (BCI) utilizes signals derived from electroencephalography (EEG) to establish a connection between a person's state of mind and a computer based signal processing system that interprets the EEG signals. The choice of suitable feature…
  openalex Michael Schröder, Martin Bogdan, Thilo Hinterberger, Niels Birbaumer 2004-01-24 置信度 0.72 Computer scienceElectroencephalographyBrain–computer interfaceFeature selectionSelection (genetic algorithm)
• A Novel Multimodal Approach for Hybrid Brain–Computer Interface
  Brain-computer interface (BCI) technologies have been widely used in many areas. In particular, non-invasive technologies such as electroencephalography (EEG) or near-infrared spectroscopy (NIRS) have been used to detect motor imagery, disease, or mental state…
  openalex Zhe Sun, Zihao Huang, Feng Duan, Yu Liu 2020-01-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyInterface (matter)Motor imagery
• Brain-computer interfaces in neurologic rehabilitation practice
  openalex Floriana Pichiorri, Donatella Mattia 2020-01-01 置信度 0.72 NeurorehabilitationBrain–computer interfaceNeurofeedbackRehabilitationPhysical medicine and rehabilitation
• Recognition of brain hemodynamic mental response for brain computer interface
  Recent advances in neuroimaging demonstrate the potential use of functional near infrared spectroscopy (fNIRS) in the field of brain machine interface. An fNIRS uses light in the near infrared range to measure brain surface hemoglobin concentrations to determi…
  crossref Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee, Jinung An 2020-09-14T21:44:53Z 置信度 0.70
• Brain-Computer Interface: Generic Control Interface for Social Interaction Applications
  crossref C. Hintermüller, C. Guger, G. Edlinger 2011-05-30T09:45:30Z 置信度 0.70
• Universal neurophysiological interpretation of EEG brain-computer interfaces
  The identification of brain activity by a brain computer interface (BCI) from electroencephalography (EEG) recordings can be achieved with a wide variety of signal processing and machine learning algorithms. Currently, there is no universal method for explaini…
  crossref James D. Bennett, Sam E. John, David B. Grayden, Anthony N. Burkitt 2021-05-17T22:58:03Z 置信度 0.70
• Brain–Robot and Speller Interfaces Using Spatial Multisensory Brain-computer Interface Paradigms
  Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and p…
  crossref Rutkowski Tomasz 2015-11-06T10:41:19Z 置信度 0.70
• Brain-controlled devices: the perception-action closed loop
  Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting system can replace and restore impaired upper limb functions because controlled by the same neural signals than their natural counterparts. However, robust and natur…
  crossref J. d. R. Millan 2016-04-25T21:45:23Z 置信度 0.70
• Role of Brain-Computer Technology in Synthetic Telepathy
  crossref Krzysztof Hanczak 2021-03-29T04:02:31Z 置信度 0.70
• Towards Brain-Computer Interfaces for Drone Swarm Control
  Noninvasive brain-computer interface (BCI) decodes brain signals to understand user intention. Recent advances have been developed for the BCI-based drone control system as the demand for drone control increases. Especially, drone swarm control based on brain …
  crossref Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee 2020-04-10T00:23:57Z 置信度 0.70
• Predicting task performance and brain responses with ongoing neural activity
  In what follows, we present results of our recent studies on how ongoing neural oscillations shape task performance (including BCI) and evoked responses. These results relate to both pre-stimulus and resting state spatio-temporal dynamics.
  crossref Vadim Nikulin 2022-03-17T20:56:01Z 置信度 0.70
• Evaluation of Consciousness by Brain-computer Interface in Severely Brain Damaged Patients
  crossref 2019-06-27T00:33:53Z 置信度 0.70
• Correction to: Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury
  [This corrects the article DOI: 10.1093/braincomms/fcab248.].
  crossref 2022-06-23T08:12:33Z 置信度 0.70
• Corrigendum to: Prognosis for patients with cognitive motor dissociation identified by brain-computer interface
  crossref 2020-05-01T19:39:03Z 置信度 0.70
• Brain-computer interface controlled neuromuscular electrical stimulation of the upper limb for stroke patients
  The human nervous system is susceptible to injury from both extrinsic and intrinsic factors such as trauma or disease. Particularly devastating injuries include stroke and spinal cord injury, where a tragically localized lesion greatly impairs motor function. …
  crossref Adrian Hock Guan Tan 2019-10-03T00:18:58Z 置信度 0.70
• Brain–computer interface allows paralyzed man to walk again
  crossref 2017-01-31T11:52:57Z 置信度 0.70
• Active recursive Bayesian classification (querying and stopping) for event related potential driven brain computer interface systems
  Recursive Bayesian classification (RBC) requires optimal latent variable estimation in the presence of noisy observation to achieve real-time sequential decision making. Active RBC introduced in this dissertation attempts to effectively select queries that lea…
  crossref Aziz Kocanaogullari 2021-05-10T17:10:59Z 置信度 0.70