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• BCI 2024 Final Report
  202 participants attended from all over the world.Under a double-blind review process, 55
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• BCI 2024 Oral Session
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• Brain–Computer Interface Contributions to Neuroergonomics
  crossref Fabien Lotte, Raphaëlle N. Roy 2018-11-30T18:24:25Z 置信度 0.70
• Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
  <p>Brain-computer interface (BCI) technology enables direct communication between the brain and external devices, allowing individuals to control their environment using brain signals. However, existing BCI approaches face three critical challenges that …
  crossref Sidharth Pancholi, Amita Giri 2023-07-30T12:29:01Z 置信度 0.70
• Brain-Computer Interface Technology Applications and the Redetermination of Criminal Responsibility
  脑机接口（BCI）技术在医疗康复等领域的应用引发了法律和伦理挑战，特别是对精神病人及盲聋哑人的刑事责任能力认定产生的影响，为了探讨这种影响，以我国刑法第18、19 条为依据结合法律分析,文献分析和伦理探讨，发现BCI 技术可能显著改善特殊群体的认知和行为控制能力，接受BCI 技术改造后的个体可能需要重新评估其刑事责任能力，不应简单适用传统的特殊群体认定标准，而应结合改造前后真实状况做出评估认定。此外，BCI 技术的失效或强制使用情况下的刑事责任认定需要综合考虑多个因素。需要更新刑法条款，明确BCI 技术影响下的刑事…
  crossref Zunyue GAI 2024-12-06T06:51:16Z 置信度 0.70
• Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces
  Neuronal power attenuation or enhancement in specific frequency bands over the sensorimotor cortex, called Event-Related Desynchronization (ERD) or Event-Related Synchronization (ERS), respectively, is a major phenomenon in brain activities involved in imagina…
  crossref Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee 2013-04-26T23:28:33Z 置信度 0.70
• BCI 2019 Author Index
  crossref 2019-06-18T00:15:31Z 置信度 0.70
• BCI 2023 Cover Page
  crossref 2023-03-28T18:11:47Z 置信度 0.70
• BCI 2024 Cover Page
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• Tech Report: Brain Computer Interface
  Brain-Computer Interfaces (BCIs) represent one of the most advanced frontiers of contemporary technological innovation, enabling a direct connection between brain activity and digital devices. This technology, resulting from the convergence of neuroscience, Ar…
  crossref Belen Girardo, Daniel De Jesus Gammell Ibanez, Clara Isabel Pantoja Munoz 2026-06-29T21:04:21Z 置信度 0.70
• BCI 2023 Cover Page
  crossref 2023-03-28T14:11:47Z 置信度 0.70
• BCI 2024 Ad Page
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• Comparison of an Open-hardware Electroencephalography Amplifier with Medical Grade Device in Brain-computer Interface Applications
  Brain-computer interfaces (BCI) are promising communication devices between humans and machines. BCI based on non-invasive neuroimaging techniques such as electroencephalography (EEG) have many applications , however the dissemination of the technology is limi…
  crossref Jérémy Frey 2016-09-06T06:23:42Z 置信度 0.70
• Brain–Computer Interface Speaks Up
  crossref Chris Palmer 2021-12-29T12:12:41Z 置信度 0.70
• The Graz Brain-Computer Interface
  crossref Gert Pfurtscheller, Clemens Brunner, Robert Leeb, Reinhold Scherer 等 2010-11-02T12:23:23Z 置信度 0.70
• An overview of brain computer interface
  Brain Computer Interface (BCI) aims at providing an alternate means of communication and control to people with severe cognitive or sensory-motor disabilities. These systems are based on the single trial recognition of different mental states or tasks from the…
  crossref Mohit Kumar Goel 2015-04-25T01:07:06Z 置信度 0.70
• Artificial Intelligence in Brain Computer Interface
  A brain-computer interface (BCI) is a connection path among brain and an external device. Motor imagery (MI) is proven to be a useful cognitive technique for enhancing motor skills as well as for movement disorder rehabilitation therapy. It is known that the e…
  crossref Abdulhamit Subasi 2022-06-27T21:25:18Z 置信度 0.70
• Enhancing Brain-Computer Interface Prediction Accuracy Through Stacked Artificial Neural Networks and User-Centric Factors
  Brain-Computer Interfaces (BCIs) offer significant potential for enhancing human-computer interactions, particularly in areas like assistive technologies. However, the performance of BCI systems can be influenced by various psychological and emotional factors,…
  crossref Usharani Bhimavarapu 2025-06-06T09:31:32Z 置信度 0.70
• Application of Brain-Computer Interface Technology in Neurogaming
  crossref Szczepan Paszkiel 2022-07-08T16:08:06Z 置信度 0.70
• A Self-Paced Two-State Mental Task-Based Brain-Computer Interface with Few EEG Channels
  A self-paced brain-computer interface (BCI) system that is activated by mental tasks is introduced. The BCI’s output has two operational states, the active state and the inactive state, and is activated by designated mental tasks performed by the user. The BCI…
  crossref Farhad Faradji, Rabab K. Ward, Gary E. Birch 2019-02-07T16:57:12Z 置信度 0.70
• Privacy and Security in Brain-Computer Interfaces
  crossref Sebastian Słaby 2021-03-29T04:02:31Z 置信度 0.70
• Brain-computer interface: basic approaches. Part I. Interface based on registration of brain electrical activity
  crossref A. A. Medyntsev 2022-03-01T16:52:17Z 置信度 0.70
• Human performance and mental workload in augmented reality: brain computer interface advantages over gestures
  Augmented reality (AR) technologies have been introduced in manufacturing planning functions. Working in augmented environments, users usually select virtual objects with hand gestures that are associated with arm fatigue. In this paper, a Steady-State Visual …
  crossref Silvio Da Col, Eunsik Kim, Andrea Sanna 2022-04-21T12:24:21Z 置信度 0.70
• Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech
  There is increasing interest in developing intuitive brain-computer interfaces (BCIs) to differentiate intuitive mental tasks such as imagined speech. Both electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have been used for this p…
  crossref Alborz Rezazadeh Sereshkeh, Rozhin Yousefi, Andrew T Wong, Frank Rudzicz 等 2019-12-17T13:16:56Z 置信度 0.70
• Automated artifact rejection algorithms harm P3 Speller brain-computer interface performance
  Brain-Computer Interfaces (BCIs) have been used to restore communication and control to people with severe paralysis. However, non-invasive BCIs based on electroencephalogram (EEG) are particularly vulnerable to noise artifacts. These artifacts, including elec…
  crossref David E. Thompson, Md. Rakibul Mowla, Katie J. Dhuyvetter, Joseph W. Tillman 等 2020-03-02T14:18:11Z 置信度 0.70
• Electroencephalography (EEG)-based neurofeedback training for brain–computer interface (BCI)
  Electroencephalography has become a popular tool in basic brain research, but in recent years, several practical limitations have been highlighted. Some of the drawbacks pertain to the offline analyses of the neural signal that prevent the subjects from engagi…
  crossref Kyuwan Choi 2013-09-25T15:25:22Z 置信度 0.70
• Feature extraction from brain signals in brain–computer interface technology
  The brain–computer interface (BCI) is a progressive leading-edge technology that provides a communication bridge between the human brain and machine. The major difficulty in BCI research is extracting the features of random time-varying electroencephalogram (E…
  crossref Vishakha Chourasia, Sonal Chandel, Pratyaksha Newalkar 2025-10-10T11:28:35Z 置信度 0.70
• A Brain-Computer-Interface for the Detection and Modulation of Gamma Band Activity
  Gamma band oscillations in the human brain (around 40 Hz) play a functional role in information processing, and a real-time assessment of gamma band activity could be used to evaluate the functional relevance more directly. Therefore, we developed a source bas…
  crossref Neda Salari, Michael Rose 2013-11-19T03:19:41Z 置信度 0.70
• The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
  The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our develop…
  openalex Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe 等 2016-11-21 置信度 0.72 NeurocognitiveBrain–computer interfaceComputer scienceInterface (matter)Human–computer interaction
• Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface
  Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke patients when applied over a large number of sessions. Here we evaluated the effect and the underlying mechanisms of three BCI training sessions in a double-blind sha…
  openalex Natalie Mrachacz‐Kersting, Ning Jiang, Andrew James Thomas Stevenson, Imran Khan Niazi 等 2015-12-31 置信度 0.72 NeuroplasticityBrain–computer interfaceNeuroscienceAssociative propertyPsychology
• A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
  As there has been a paradigm shift in the learning load from a human subject to a computer, machine learning has been considered as a useful tool for Brain-Computer Interfaces (BCIs). In this paper, we propose a novel Bayesian framework for discriminative feat…
  openalex Heung‐Il Suk, Seong–Whan Lee 2012-04-11 置信度 0.72 Discriminative modelComputer scienceArtificial intelligencePattern recognition (psychology)Brain–computer interface
• Hacking the brain: brain–computer interfacing technology and the ethics of neurosecurity
  openalex Marcello Ienca, Pim Haselager 2016-04-16 置信度 0.72 HackerNeuroethicsInterfacingComputer securityComputer science
• Brain–computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation
  Brain-computer interfaces (BCIs) are a rehabilitation tool for tetraplegic patients that aim to improve quality of life by augmenting communication, control of the environment, and self-care. The neurobiology of both rehabilitation and BCI control depends upon…
  openalex Bruce H. Dobkin 2006-11-09 置信度 0.72 Brain–computer interfaceRehabilitationPhysical medicine and rehabilitationCognitionPsychology
• Neurofeedback-based motor imagery training for brain–computer interface (BCI)
  openalex Han‐Jeong Hwang, Kiwoon Kwon, Chang‐Hwan Im 2009-01-30 置信度 0.72 Motor imageryBrain–computer interfaceNeurofeedbackSensorimotor rhythmElectroencephalography
• EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
  People with severe motor impairment face many challenges in communication and control of the environment, whilst survivors from neurological disorders have increased demand for advanced, adaptive and personalized rehabilitation. The last decades many studies h…
  openalex Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, Ioannis Kompatsiaris 等 2018-01-30 置信度 0.72 Brain–computer interfaceModalitiesElectroencephalographyRehabilitationPhysical medicine and rehabilitation
• Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses
  Brain computer interface (BCI) technology has been proposed for motor neurorehabilitation, motor replacement and assistive technologies. It is an open question whether proprioceptive feedback affects the regulation of brain oscillations and therefore BCI contr…
  openalex Ander Ramos‐Murguialday, Markus Schürholz, Vittorio Caggiano, Moritz Wildgruber 等 2012-10-05 置信度 0.72 Brain–computer interfaceMotor imageryNeurorehabilitationSensorimotor rhythmProprioception
• A brain-computer interface with vibrotactile biofeedback for haptic information
  BACKGROUND: It has been suggested that Brain-Computer Interfaces (BCI) may one day be suitable for controlling a neuroprosthesis. For closed-loop operation of BCI, a tactile feedback channel that is compatible with neuroprosthetic applications is desired. Oper…
  openalex Aniruddha Chatterjee, Vikram Aggarwal, Ander Ramos, Soumyadipta Acharya 等 2007-10-17 置信度 0.72 Brain–computer interfaceBiofeedbackHaptic technologyNeuroprostheticsSensorimotor rhythm
• Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
  openalex Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin 等 2017-12-08 置信度 0.72 Computer scienceArtificial intelligenceExtreme learning machineBrain–computer interfaceSupport vector machine
• Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
  In this article, non-invasive hybrid brain-computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed. Hybridization combining more than two modalities is a new trend in brain imaging and pro…
  openalex Keum‐Shik Hong, Muhammad Jawad Khan 2017-07-23 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)ElectroencephalographyElectrooculography
• Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces
  One of the major limitations of brain-computer interfaces (BCI) is their long calibration time, which limits their use in practice, both by patients and healthy users alike. Such long calibration times are due to the large between-user variability and thus to …
  openalex Fabien Lotte 2015-05-18 置信度 0.72 Brain–computer interfaceComputer scienceA priori and a posterioriCalibrationElectroencephalography
• Evolving Signal Processing for Brain–Computer Interfaces
  Because of the increasing portability and wearability of noninvasive electrophysiological systems that record and process electrical signals from the human brain, automated systems for assessing changes in user cognitive state, intent, and response to events a…
  openalex Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo 等 2012-03-14 置信度 0.72 Software portabilityBrain–computer interfaceComputer scienceHuman–computer interactionInterface (matter)
• An Introduction to Brain-Computer Interfacing
  S.1-26
  openalex Andrea Kübler, Klaus‐Robert Müller 2007-07-20 置信度 0.72 InterfacingComputer scienceNeuroscienceCognitive sciencePsychology
• Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces
  OBJECTIVE: This paper presents a Transfer Learning approach for dealing with the statistical variability of electroencephalographic (EEG) signals recorded on different sessions and/or from different subjects. This is a common problem faced by brain-computer in…
  openalex Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo 2018-12-25 置信度 0.72 Computer scienceProcrustes analysisBrain–computer interfaceTransfer of learningArtificial intelligence
• Control of a Wheelchair in an Indoor Environment Based on a Brain–Computer Interface and Automated Navigation
  The concept of controlling a wheelchair using brain signals is promising. However, the continuous control of a wheelchair based on unstable and noisy electroencephalogram signals is unreliable and generates a significant mental burden for the user. A feasible …
  openalex Rui Zhang, Yuanqing Li, Yongyong Yan, Hao Zhang 等 2015-06-02 置信度 0.72 WheelchairBrain–computer interfaceNavigation systemInterface (matter)Computer science
• Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface
  The performance of a classifier in a brain-computer interface (BCI) system is highly dependent on the quality and quantity of training data. Typically, the training data are collected in a laboratory where the users perform tasks in a controlled environment. H…
  openalex Fatemeh Fahimi, Strahinja Došen, Kai Keng Ang, Natalie Mrachacz‐Kersting 等 2020-08-25 置信度 0.72 Adversarial systemGenerative adversarial networkComputer scienceGenerative grammarInterface (matter)
• Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment
  openalex Christa Neuper, Gernot Müller, Andrea Kübler, Niels Birbaumer 等 2003-03-01 置信度 0.72 Brain–computer interfaceElectroencephalographyBiofeedbackNeurofeedbackBrain activity and meditation
• An Adaptive P300-Based Online Brain–Computer Interface
  The P300 component of an event related potential is widely used in conjunction with brain-computer interfaces (BCIs) to translate the subjects intent by mere thoughts into commands to control artificial devices. A well known application is the spelling of word…
  openalex Alexander Lenhardt, Matthias Kaper, Helge Ritter 2008-04-01 置信度 0.72 Brain–computer interfaceComputer scienceInformation transferTransfer (computing)Limiting
• Brain-computer interface controlled robotic gait orthosis
  BACKGROUND: Excessive reliance on wheelchairs in individuals with tetraplegia or paraplegia due to spinal cord injury (SCI) leads to many medical co-morbidities, such as cardiovascular disease, metabolic derangements, osteoporosis, and pressure ulcers. Treatme…
  openalex Hui An, Po T. Wang, Christine King, Sophia Chun 等 2013-01-01 置信度 0.72 Brain–computer interfacePhysical medicine and rehabilitationTetraplegiaPopulationMedicine
• Brain–computer interface: trend, challenges, and threats
  Brain-computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in recent years. Researchers provide experimental results demonstrating that BCI can restore the capabiliti…
  openalex Baraka Maiseli, Abdi T. Abdalla, Libe Valentine Massawe, Mercy Mbise 等 2023-08-04 置信度 0.72 Interface (matter)Computer scienceOperating systemBubbleMaximum bubble pressure method
• Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review
  Recent developments and studies in brain-computer interface (BCI) technologies have facilitated emotion detection and classification. Many BCI studies have sought to investigate, detect, and recognize participants’ emotional affective states. The applied domai…
  openalex Abeer Al-Nafjan, Manar Hosny, Yousef Al-Ohali, Areej Al‐Wabil 2017-11-30 置信度 0.72 ElectroencephalographyBrain–computer interfaceSalientComputer scienceInterface (matter)
• A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue
  Most P300-based brain-computer interface (BCI) approaches use the visual modality for stimulation. For use with patients suffering from amyotrophic lateral sclerosis (ALS) this might not be the preferable choice because of sight deterioration. Moreover, using …
  openalex Martijn Schreuder, Benjamin Blankertz, Michael Tangermann 2010-04-01 置信度 0.72 Brain–computer interfaceComputer scienceStimulus (psychology)Modality (human–computer interaction)Oddball paradigm
• Motor imagery classification by means of source analysis for brain–computer interface applications
  We report a pilot study of performing classification of motor imagery for brain-computer interface applications, by means of source analysis of scalp-recorded EEGs. Independent component analysis (ICA) was used as a spatio-temporal filter extracting signal com…
  openalex Lei Qin, Lei Ding, Bin He 2004-09-01 置信度 0.72 Motor imageryBrain–computer interfaceComputer scienceElectroencephalographyIndependent component analysis
• Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
  Transfer learning makes use of data or knowledge in one problem to help solve a different, yet related, problem. It is particularly useful in brain-computer interfaces (BCIs), for coping with variations among different subjects and/or tasks. This paper conside…
  openalex Wen Zhang, Dongrui Wu 2020-04-06 置信度 0.72 Computer scienceTransfer of learningElectroencephalographyArtificial intelligenceBrain–computer interface
• The Wadsworth Center brain-computer interface (BCI) research and development program
  Brain-computer interface (BCI) research at the Wadsworth Center has focused primarily on using electroencephalogram (EEG) rhythms recorded from the scalp over sensorimotor cortex to control cursor movement in one or two dimensions. Recent and current studies s…
  openalex Jonathan R. Wolpaw, Dennis J. McFarland, Theresa M. Vaughan, Gerwin Schalk 2003-06-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)ElectroencephalographyHuman–computer interaction
• Neural mechanisms of brain–computer interface control
  openalex Sebastian Halder, D. Agorastos, Ralf Veit, Eva Maria Hammer 等 2011-01-24 置信度 0.72 Brain–computer interfaceMotor imagerySupplementary motor areaSensorimotor rhythmElectroencephalography
• A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients
  Using brain-computer interfaces (BCI) humans can select letters or other targets on a computer screen without any muscular involvement. An intensively investigated kind of BCI is based on the recording of visual event-related brain potentials (ERP). However, s…
  openalex Andrea Kübler, Adrian Furdea, Sebastian Halder, Eva Maria Hammer 等 2009-03-01 置信度 0.72 Brain–computer interfaceEvent-related potentialComputer scienceSpellingInterface (matter)
• The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study
  The current study investigated the effects of psychological well-being measured as quality of life (QoL), depression, current mood and motivation on brain-computer interface (BCI) performance in amyotrophic lateral sclerosis (ALS). Six participants with most a…
  openalex Femke Nijboer 2010-01-01 置信度 0.72 Brain–computer interfaceSensorimotor rhythmMoodPsychologyAmyotrophic lateral sclerosis
• Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
  Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable task involvement, workload etc. alter the characteristics of EEG signals and thus ch…
  openalex Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike U. Hohlefeld 等 2007-12-03 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterfacingInvariant (physics)
• Vibrotactile Feedback for Brain-Computer Interface Operation
  To be correctly mastered, brain-computer interfaces (BCIs) need an uninterrupted flow of feedback to the user. This feedback is usually delivered through the visual channel. Our aim was to explore the benefits of vibrotactile feedback during users' training an…
  openalex Febo Cincotti, Laura Kauhanen, Fabio Aloise, Tapio Palomäki 等 2007-01-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyVisual feedbackTask (project management)
• Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) allow users to control a computer application by brain activity as acquired (e.g., by EEG). In our classic machine learning approach to BCIs, the participants undertake a calibration measurement without feedback to acquire data…
  openalex Carmen Vidaurre, Claudia Sannelli, Klaus‐Robert Müller, Benjamin Blankertz 2010-12-16 置信度 0.72 Brain–computer interfaceComputer scienceSession (web analytics)Motor imageryClassifier (UML)
• An auditory oddball brain–computer interface for binary choices
  openalex Sebastian Halder, Massimiliano Rea, R. Andreoni, Femke Nijboer 等 2010-01-25 置信度 0.72 Brain–computer interfaceBinary numberInterface (matter)Oddball paradigmComputer science
• The MindGame: A P300-based brain–computer interface game
  openalex Andrea Finke, Alexander Lenhardt, Helge Ritter 2009-07-17 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Event-related potentialHuman–computer interaction
• EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applications
  Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment.Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI applications…
  openalex Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu 等 2020-01-28 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligenceDomain (mathematical analysis)
• VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier
  A brain computer interface (BCI) translates human intentions into control signals to establish a direct communication channel between the human brain and external devices. Because a BCI does not depend on the brain's normal output pathways of peripheral nerves…
  openalex Guangyu Bin, Xiaorong Gao, Yijun Wang, Bo Hong 等 2009-11-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyStimulus (psychology)Visual evoked potentials
• Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
  BACKGROUND: Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the firs…
  openalex Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, Ali Alazmani 等 2021-01-23 置信度 0.72 Cochrane LibraryRehabilitationPhysical medicine and rehabilitationPsycINFOBrain–computer interface
• Neuroimaging-based approaches in the brain–computer interface
  openalex Byoung‐Kyong Min, Matthew Marzelli, Seung-Schik Yoo 2010-09-02 置信度 0.72 NeuroimagingBrain–computer interfaceInterface (matter)Cognitive scienceNeuroscience
• Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury
  Spinal cord injury (SCI) often affects a person's ability to perform critical activities of daily living and can negatively affect his or her quality of life. Assistive technology aims to bridge this gap in order to augment function and increase independence. …
  openalex Jennifer L. Collinger, Michael L. Boninger, Tim M. Bruns, Kenneth C. Curley 等 2013-01-01 置信度 0.72 TetraplegiaBrain–computer interfacePhysical medicine and rehabilitationWheelchairSpinal cord injury
• Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity
  openalex Alan D. Degenhart, William E. Bishop, Emily R. Oby, Elizabeth C. Tyler‐Kabara 等 2020-04-20 置信度 0.72 Brain–computer interfaceCursor (databases)Computer scienceStabilizer (aeronautics)Neural activity
• Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces
  We describe error-related potentials generated while a human user monitors the performance of an external agent and discuss their use for a new type of brain-computer interaction. In this approach, single trial detection of error-related electroencephalography…
  openalex Ricardo Chavarriaga, José del R. Millán 2010-06-25 置信度 0.72 ElectroencephalographyComputer scienceBrain–computer interfaceArtificial intelligenceCognition
• Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface
  openalex Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang 等 2015-08-13 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceArtificial intelligencePattern recognition (psychology)
• Brain-Computer Interfaces and Human-Computer Interaction
  openalex Desney Tan, Anton Nijholt 2010-01-01 置信度 0.72 Brain–computer interfaceHuman–computer interactionComputer scienceInterface (matter)Task (project management)
• Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface
  openalex Ivo Käthner, Selina C. Wriessnegger, Gernot Müller-Putz, Andrea Kübler 等 2014-07-31 置信度 0.72 WorkloadBrain–computer interfaceDichotic listeningDistractionTask (project management)
• Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
  Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity were recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions. However, there are only a few clinical s…
  openalex Alexander Frolov, О. А. Мокиенко, R. Kh. Lyukmanov, Elena V. Biryukova 等 2017-07-20 置信度 0.72 Brain–computer interfaceMotor imageryPhysical medicine and rehabilitationRehabilitationExoskeleton
• State-of-the-Art on Brain-Computer Interface Technology
  This paper provides a comprehensive overview of the state-of-the-art in brain-computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The paper then examines the vari…
  openalex Jānis Pekša, Dmytro Mamchur 2023-06-28 置信度 0.72 Brain–computer interfaceField (mathematics)Computer scienceState (computer science)Interface (matter)
• Brain–Computer Interfaces Handbook
  This handbook is organized into an introductory chapter with an emphasis on BCI technology trend and historical events that paved the way for flourishing BCI technology, six main parts, and a conclusion chapter. Part I opens with various BCI applications, cons…
  openalex Anton Nijholt, Chang S. Nam, Fabian Lotte 2018-01-09 置信度 0.72 Computer scienceBrain–computer interfaceCognitive scienceHuman–computer interactionPsychology
• Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design
  While recent research on Brain-Computer Interfaces (BCI) has highlighted their potential for many applications, they remain barely used outside laboratories. The main reason is their lack of robustness. Indeed, with current BCI, mental state recognition is usu…
  openalex Fabien Lotte, Florian Larrue, Christian Mühl 2013-01-01 置信度 0.72 Computer scienceTraining (meteorology)Brain–computer interfaceHuman–computer interactionInstructional design
• A virtual reality testbed for brain-computer interface research
  Virtual reality promises to extend the realm of possible brain-computer interface (BCI) prototypes. Most of the work using electroencephalograph (EEG) signals in VR has focussed on brain-body actuated control, where biological signals from the body as well as …
  openalex Jessica D. Bayliss, D.H. Ballard 2000-06-01 置信度 0.72 Brain–computer interfaceVirtual realityTestbedInterface (matter)Computer science
• Brain–computer interface (BCI) operation: optimizing information transfer rates
  openalex Dennis J. McFarland, William A. Sarnacki, Jonathan R. Wolpaw 2003-06-02 置信度 0.72 Cursor (databases)Brain–computer interfaceComputer scienceRhythmTask (project management)
• Frequency and Phase Mixed Coding in SSVEP-Based Brain--Computer Interface
  Frequency coding has been the traditional method implemented in steady-state visual evoked potential (SSVEP)-based brain--computer interfaces (BCI). However, it is limited in terms of possible target numbers and, consequently, inappropriate for certain applica…
  openalex Chuan Jia, Xiaorong Gao, Bo Hong, Shangkai Gao 2010-08-23 置信度 0.72 DecodesBrain–computer interfaceComputer scienceCoding (social sciences)Artificial intelligence
• Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
  BACKGROUND: There is now sufficient evidence that using a rehabilitation protocol involving motor imagery (MI) practice in conjunction with physical practice (PP) of goal-directed rehabilitation tasks leads to enhanced functional recovery of paralyzed limbs am…
  openalex Girijesh Prasad, Pawel Herman, Damien Coyle, Suzanne McDonough 等 2010-12-01 置信度 0.72 Motor imageryBrain–computer interfaceNeurofeedbackPhysical medicine and rehabilitationRehabilitation
• ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system
  A brain-computer interface (BCI) system may allow a user to communicate by selecting one of many options. These options may be presented in a matrix. Larger matrices allow a larger vocabulary, but require more time for each selection. In this study, subjects w…
  openalex Brendan Z. Allison, Jaime A. Pineda 2003-06-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceTask (project management)Matrix (chemical analysis)
• Brain–computer interfaces for communication with nonresponsive patients
  A substantial number of patients who survive severe brain injury progress to a nonresponsive state of wakeful unawareness, referred to as a vegetative state (VS). They appear to be awake, but show no signs of awareness of themselves, or of their environment in…
  openalex Lorina Naçi, Martin M. Monti, Damian Cruse, Andrea Kübler 等 2012-05-30 置信度 0.72 NeuroimagingBrain–computer interfaceNeuroscienceMinimally conscious stateBrain activity and meditation
• Sensors for brain-computer interfaces
  Brain-computer interfaces (BCIs) hold the promise to restore mobility and independence to persons with paralysis. In spinal cord injury, brainstem stroke, and a host of neuromuscular disorders, the intact brain is "disconnected" from its intact target (such as…
  openalex Leigh R. Hochberg, John P. Donoghue 2006-09-01 置信度 0.72 Amyotrophic lateral sclerosisBrainstemParalysisBrain–computer interfacePhysical medicine and rehabilitation
• A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface
  Brain-computer interface (BCI) technology has the prospects of helping stroke survivors by enabling the interaction with their environ ment through brain signals rather than through muscles, and restoring motor function by inducing activity-dependent brain pla…
  openalex Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang 等 2011-10-01 置信度 0.72 Motor imageryElectroencephalographyFinger tappingBrain–computer interfaceStroke (engine)
• DARPA-funded efforts in the development of novel brain–computer interface technologies
  The Defense Advanced Research Projects Agency (DARPA) has funded innovative scientific research and technology developments in the field of brain-computer interfaces (BCI) since the 1970s. This review highlights some of DARPA's major advances in the field of B…
  openalex Robbin A. Miranda, William D. Casebeer, Amy M. Hein, Jack W. Judy 等 2014-08-09 置信度 0.72 Brain–computer interfaceField (mathematics)Agency (philosophy)Computer scienceInterface (matter)
• Brain computer interface advancement in neurosciences: Applications and issues
  Neurosciences and Neuro-technology are continuously advancing and so individuals, society and healthcare professionals have to up date themselves with advancement. Brain computer Interface (BCI) is one such emerging technology in Neurosciences. In a nutshell, …
  openalex Shiv Kumar Mudgal, Suresh Kumar Sharma, Jitender Chaturvedi, Anil Kumar Sharma 2020-02-21 置信度 0.72 Brain–computer interfaceInterface (matter)Multidisciplinary approachUsabilityRealm
• Visual Spatial Attention Control in an Independent Brain-Computer Interface
  This paper presents a novel brain computer interface (BCI) design employing visual evoked potential (VEP) modulations in a paradigm involving no dependency on peripheral muscles or nerves. The system utilizes electrophysiological correlates of visual spatial a…
  openalex Simon P. Kelly, Edmund C. Lalor, Ciarán Finucane, G. McDarby 等 2005-08-16 置信度 0.72 Brain–computer interfaceFlickerComputer scienceStimulus (psychology)Cued speech
• Comparison of Dry and Gel Based Electrodes for P300 Brain–Computer Interfaces
  Most brain-computer interfaces (BCIs) rely on one of three types of signals in the electroencephalogram (EEG): P300s, steady-state visually evoked potentials, and event-related desynchronization. EEG is typically recorded non-invasively with electrodes mounted…
  openalex Christoph Guger, Gunther Krausz, Brendan Z. Allison, Guenter Edlinger 2012-01-01 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionPsychologyElectroencephalography
• Intracortical recording stability in human brain–computer interface users
  OBJECTIVE: Intracortical brain-computer interfaces (BCIs) are being developed to assist people with motor disabilities in communicating and interacting with the world around them. This technology relies on recordings from the primary motor cortex, which may va…
  openalex John E. Downey, Nathaniel Schwed, Steven M. Chase, Andrew B. Schwartz 等 2018-03-19 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionHuman brain
• A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
  Recent advancements in brain computer interfaces (BCI) have demonstrated control of robotic systems by mental processes alone. Together with invasive BCI, electroencephalographic (EEG) BCI represent an important direction in the development of BCI systems. In …
  openalex Murat Kaya, Mustafa Kemal Binli, Erkan Özbay, Hilmi Yanar 等 2018-10-16 置信度 0.72 Brain–computer interfaceElectroencephalographyMotor imageryComputer scienceContext (archaeology)
• Future prospects of ERD/ERS in the context of brain–computer interface (BCI) developments
  openalex Gert Pfurtscheller, Christa Neuper 2006-01-01 置信度 0.72 Brain–computer interfaceMotor imageryContext (archaeology)Brain activity and meditationInterface (matter)
• Online Control of a Brain-Computer Interface Using Phase Synchronization
  Currently, almost all brain-computer interfaces (BCIs) ignore the relationship between phases of electroencephalographic signals detected from different recording sites (i.e., electrodes). The vast majority of BCI systems rely on feature vectors derived from e…
  openalex Clemens Brunner, Reinhold Scherer, B. Graimann, Gernot G. Supp 等 2006-12-01 置信度 0.72 Brain–computer interfaceSynchronization (alternating current)Interface (matter)Computer sciencePhase synchronization
• Optimizing the P300-based brain–computer interface: current status, limitations and future directions
  This paper summarizes the presentations and discussions at a workshop held during the Fourth International BCI Meeting charged with reviewing and evaluating the current state, limitations and future development of P300-based brain-computer interface (P300-BCI)…
  openalex Joseph N. Mak, Yael Arbel, James W. Minett, Lynn M. McCane 等 2011-03-24 置信度 0.72 Brain–computer interfaceComputer sciencePresentation (obstetrics)Interface (matter)Human–computer interaction
• Critical issues in state-of-the-art brain–computer interface signal processing
  This paper reviews several critical issues facing signal processing for brain-computer interfaces (BCIs) and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI…
  openalex Dean J. Krusienski, Moritz Grosse‐Wentrup, Ferran Galán, Damien Coyle 等 2011-03-24 置信度 0.72 Brain–computer interfaceComputer scienceSignal processingElectroencephalographySIGNAL (programming language)
• Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
  Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to widely influence research, clinical and recreational use. Non-invasive BCI approaches are particularly common as they can impact a large number of participants safely and…
  openalex Bradley J. Edelman, Shuailei Zhang, Gerwin Schalk, Peter Brunner 等 2024-08-26 置信度 0.72 Computer scienceState (computer science)Brain–computer interfaceHuman–computer interactionNeuroscience
• Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface
  openalex Hovagim Bakardjian, Toshihisa Tanaka, Andrzej Cichocki 2009-11-20 置信度 0.72 Brain–computer interfaceNeurofeedbackNeurophysiologyComputer scienceElectroencephalography
• Biosensor Technologies for Augmented Brain–Computer Interfaces in the Next Decades
  The study of brain-computer interfaces (BCIs) has undergone 30 years of intense development and has grown into a rich and diverse field. BCIs are technologies that enable direct communication between the human brain and external devices. Conventionally, wet el…
  openalex Lun‐De Liao, Chin‐Teng Lin, Kaleb McDowell, A. E. Wickenden 等 2012-03-13 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionEveryday lifeField (mathematics)
• FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing
  A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing (BCI). The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and…
  openalex Ian Daly, Reinhold Scherer, Martin Billinger, Gernot Müller-Putz 2014-08-13 置信度 0.72 Artifact (error)Brain–computer interfaceThresholdingInterfacingElectroencephalography
• ECoG factors underlying multimodal control of a brain-computer interface
  Most current brain-computer interface (BCI) systems for humans use electroencephalographic activity recorded from the scalp, and may be limited in many ways. Electrocorticography (ECoG) is believed to be a minimally-invasive alternative to electroencephalogram…
  openalex J. Adam Wilson, Elizabeth A. Felton, P. Charles Garell, Gerwin Schalk 等 2006-06-01 置信度 0.72 Brain–computer interfaceElectrocorticographyElectroencephalographyInterface (matter)Neuroscience
• Contralesional Brain–Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors
  BACKGROUND AND PURPOSE: There are few effective therapies to achieve functional recovery from motor-related disabilities affecting the upper limb after stroke. This feasibility study tested whether a powered exoskeleton driven by a brain-computer interface (BC…
  openalex David T. Bundy, Lauren Souders, Kelly Baranyai, Laura D. Leonard 等 2017-05-26 置信度 0.72 NeurorehabilitationPhysical medicine and rehabilitationExoskeletonMedicineBrain–computer interface