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• The Uses of Brain-Computer Interface in Different Postures to Application in Real Life
  The use of the BCI as a communication tool in real life may be different from the use in the laboratory environment. As an example of this difference between two environments, posture could be a consideration for the performance of BCI. In this study, six part…
  crossref Dojin Heo, Minju Kim, Jongsu Kim, Yun Joo Choi 等 2022-03-17T20:56:01Z 置信度 0.70
• Multimodal imaging technique for rapid response brain-computer interface feedback
  Electroencephalogram (EEG) has been widely used for brain-computer interface (BCI) due to its high temporal resolution. Meanwhile, multimodal imaging techniques based on combined EEG and near infrared spectroscopy (NIRS) have been studied in BCI research and s…
  crossref Seul-Ki Yeom, Siamac Fazli, Jan Mehnert, Benjamin Blankcrtz 等 2013-04-26T19:28:33Z 置信度 0.70
• Brain-computer interface for neurorehabilitation: Looking beyond upper limbs
  With deeper understanding and appreciation of the roles of Brain-computer interface (BCI) in assisting stroke survivors to restore motor function by inducing activity-dependent brain plasticity through Hebbian learning, more and more studies in applying BCI fo…
  crossref Cuntai Guan, Huijuan Yang, Kai Keng Ang, Kok Soon Phua 等 2014-04-15T21:17:31Z 置信度 0.70
• AN IMPLEMENTATION OF SMART HOME AUTOMATION CONTROL USING BRAIN COMPUTER INTERFACE
  crossref 2017-11-06T11:31:05Z 置信度 0.70
• Nonnegative matrix factorization common spatial pattern in brain machine interface
  Fast and accurate discrimination of Electroencephalography (EEG) data is necessary for controlling brain machine interface. This paper introduces a novel method to discriminate 2-class motor imagery states (left and right hand) using nonnegative matrix factori…
  crossref H. Tsubakida, T. Shiratori, A. Ishiyama, Y. Ono 2015-04-03T10:53:39Z 置信度 0.70
• Towards Developing Novel and Intuitive Brain-based Control Interface via On-skin Input
  Input is a significant challenge for current wear-able systems in the context of extended reality and metaverse environment due to lack of expressive power, naturalness, intuitiveness and social acceptability. In this paper, we propose a novel control interfac…
  crossref Hye-Bin Shin, Myoung-Ki Kim, Jeong-Hyun Cho 2023-03-28T18:11:47Z 置信度 0.70
• Decoding three-dimensional arm movements for brain-machine interface
  Although estimation of 3-dimensional arm movements is crucial to control prosthetic devices using brain signals, there have been few non-invasive brain-machine interface (BMI) studies estimating arm movements. Here, we aimed to estimate 3-dimensional movements…
  crossref Hong Gi Yeom, June Sic Kim, Chun Kee Chung 2013-04-26T23:28:33Z 置信度 0.70
• Towards Brain-based Interface for Communication and Control by Skin Touch
  Metaverse is a platform that can extend human interaction beyond a limited real space and into an infinite space using virtual reality and augmented reality. Simple and intuitive wearable interfaces suitable for metaverse environments are a significant challen…
  crossref Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin, Seong-Whan Lee 2023-03-28T18:11:47Z 置信度 0.70
• Adaptation in motor imagery brain-computer interfaces and its implication in rehabilitation
  In BCI based stroke rehabilitation systems, motor imagery is detected and fed back to patients via various modalities, being visual, robotic, haptic, and so on. Higher rate of detecting motor imagery is desired for potentially better rehabilitation outcome, as…
  crossref Cuntai Guan 2016-04-25T17:45:23Z 置信度 0.70
• Neuromonitoring in acquired brain injury
  Patients under the acute phase of acquired brain injury need accurate, rapid diagnosis and careful monitoring on their neurophysiological status. In clinical settings the neuromonitoring is conducted via neuroimaging and analyzing various physiological paramet…
  crossref Dong-Joo Kim 2015-04-03T10:53:39Z 置信度 0.70
• Optimizing Computer–Brain Interface Parameters for Non-invasive Brain-to-Brain Interface
  A non-invasive, brain-to-brain interface (BBI) requires precision neuromodulation and high temporal resolution as well as portability to increase accessibility. A BBI is a combination of the brain-computer interface (BCI) and the computer-brain interface (CBI)…
  crossref John LaRocco, Dong-Guk Paeng 2020-02-07T11:29:29Z 置信度 0.70
• Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings
  Cardiac artifacts have been observed in brain recordings captured by the endovascular Stentrode(TM) device. These artifacts are an order of magnitude larger than underlying neural activity and impact upon brain-computer interface (BCI) performance. In this stu…
  crossref Suleman Rasheed, James Bennett, Peter Yoo, Nicholas Opie 等 2024-04-02T18:37:26Z 置信度 0.70
• Author index
  crossref 2018-03-12T21:53:47Z 置信度 0.70
• A sociotechnical systems’ perspective to support brain–computer interface development
  crossref Brandon J. King, Gemma J.M. Read, Paul M. Salmon 2024-11-08T03:30:04Z 置信度 0.70
• Brain-computer interface for the epileptic seizures prediction and prevention
  30 % of epileptic patients are resistant to drug therapy. A prospective treatment strategy for refractory epilepsy patients is a brain-computer interface (BCI) in which the epileptic seizures are modulated either by the preprogrammed stimulation schedules (ope…
  crossref Vladimir Maksimenko, Annika Luttjohann, Sabrina van Heukelum, Janita Kelderhuis 等 2020-04-10T00:23:57Z 置信度 0.70
• CLASSIFICATION OF MENTAL TASK FOR BRAIN COMPUTER INTERFACE USING ARTIFICIAL NEURAL NETWORK
  crossref 2017-03-27T09:00:27Z 置信度 0.70
• Deep neural network-based (BMI) brain-computer interface system design : Development and evaluation of a BMI brain-computer interface learning framework for rehabilitation
  Based on the brain-computer interface is an important way of existing and future medical rehabilitation medicine, based on the very important role played by motor rehabilitation after stroke, the research framework based on reinforcement learning (RL) deep neu…
  crossref Jiayi Cai, Jialiang Cai 2023-12-14T19:23:48Z 置信度 0.70
• Biodegradable and Biohybrid Materials for Next-Generation Brain-Computer Interfaces
  Biodegradable and biohybrid materials for nanobioelectronics offer a compelling alternative for developing next-generation brain-computer interfaces (BCIs). In this chapter, we focus on the critical need for biodegradability within nanobioelectronics and the a…
  openalex Shahab Ahmadi Seyedkhani 2024-08-01 置信度 0.72 Computer scienceHuman–computer interactionCognitive sciencePsychology
• Recent Advances in Brain-Computer Interface Research—A Summary of the BCI Award 2016 and BCI Research Trends
  crossref Christoph Guger, Brendan Z. Allison, Mikhail A. Lebedev 2017-08-21T06:32:51Z 置信度 0.70
• Technical program
  crossref 2015-04-03T10:53:39Z 置信度 0.70
• Recent Advances on Brain-Computer Interface Applications and Challenges in Stroke Rehabilitation
  crossref Haoqi Wang 2026-01-27T11:28:22Z 置信度 0.70
• Applications of Brain-Computer Interface in Action Observation and Motor Imagery
  Motor imagery (MI) and action observation (AO) are vital elements in brain-computer interface (BCI) applications. MI involves mentally simulating movements and physical execution, while AO involves observing others perform actions. Both activate crucial brain …
  crossref Rakshit Shah, Sohail Daulat, Vadivelan Ramu, Viashen Moodley 等 2024-01-04T11:09:44Z 置信度 0.70
• BrainGate: An Intracortical Brain-Computer Interface for the Restoration of Communication and Functional Independence for People with Paralysis
  Intracortical brain computer interfaces (iBCIs) have the potential to restore and maintain communication, mobility, and functional independence for people living with paralysis due to neurologic disease or injury. The BrainGate Neural Interface System utilizes…
  crossref Daniel B. Rubin, Leigh R. Hochberg 2023-03-28T18:11:47Z 置信度 0.70
• Final Report
  crossref 2025-03-28T02:29:03Z 置信度 0.70
• [Front cover]
  The following topics are dealt with: medical signal processing; brain-computer interfaces; electroencephalography; neurophysiology; signal classification; brain; neural nets; bioelectric potentials; feature extraction; learning (artificial intelligence).
  crossref 2018-03-12T17:53:47Z 置信度 0.70
• Design of Omnidirectional Robot Using Hybrid Brain Computer Interface
  crossref Vidya Nandikolla, Bryan Ghoslin 2021-08-03T19:21:28Z 置信度 0.70
• Copyright
  crossref 2023-03-28T18:11:47Z 置信度 0.70
• Brain-Computer Interface Research: A State-of-the-Art Summary 7
  crossref Christoph Guger, Brendan Z. Allison, Natalie Mrachacz-Kersting 2019-07-08T11:05:58Z 置信度 0.70
• Author index
  crossref 2013-04-26T19:28:33Z 置信度 0.70
• 5gigabyte
  crossref 2017-02-20T16:35:38Z 置信度 0.70
• Beyond introspective illusions, a brain computer interface approach to decision awareness
  Au-delà des illusions introspectives, l'interface cerveau machine au service de l'étude de la conscience lors de la prise de décision Nous concevons d'ordinaire nos choix comme conscients et sous notre contrôle. Toutefois, de nombreuses études montrent que nos…
  crossref Benjamin Rebouillat 2026-04-04T07:14:50Z 置信度 0.70
• Oral session
  crossref 2015-04-03T10:53:39Z 置信度 0.70
• Towards Brain-Machine Interface-Based Rehabilitation for Patients with Chronic Complete Paraplegia
  crossref Solaiman Shokur 2021-04-01T11:04:01Z 置信度 0.70
• Brain-Computer Interface Research: A State-of-the-Art Summary 13
  crossref Christoph Guger, Fabien Lotte, Milena Korostenskaja, Brendan Z. Allison 2026-08-04T19:56:00Z 置信度 0.70
• Oral session
  crossref 2018-03-12T17:53:47Z 置信度 0.70
• Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface
  A time-efficient process for building a decoder transforming neural signals into intended commands must be considered equally significantly as maximizing its interpretation performance, in order to establish a successful brain-computer interface (BCI) system. …
  crossref Young Ho Kang, Dongjae Kim, Sang Wan Lee 2022-03-17T20:56:01Z 置信度 0.70
• Cover page
  t<or~-i1n Sndl?ty for (olJnitiV€ 'Sd~n(e a~•ln En9i~rin.;JSociety of t(or€S pe<i.LJ1 IntE'fes.t{Jroop on Cornputer Vi-sion iJnd ~tten, ~(OQ nition Wetl Fle~iJ r<:n Divi-siQn of Bmi n and C09n"
  crossref 2013-04-26T23:28:33Z 置信度 0.70
• Brain–Computer Interface‐Assisted Automated Wheelchair Control Management–Cerebro
  Technology today serves millions of people suffering from mobility impairments across the globe in numerous ways. Although advancements in medicine and healthcare systems improve the life expectancy of the general population, sophisticated engineering techniqu…
  crossref Sudhendra Kambhamettu, Meenalosini Vimal Cruz, S. Anitha, S. Sibi Chakkaravarthy 等 2023-02-10T21:26:58Z 置信度 0.70
• Electroencephalography (EEG) brain computer interface (BCI) for mental states detection
  Brain Computer Interface (BCI) enables a new dimension for Human Computer Interface, by allowing people to interact directly through their brain signals without conventional pathways. EEG, the most prevalent BCI sensing modality, enables to measure brain activ…
  crossref Aung Phyo Wai Aung 2023-06-01T06:29:45Z 置信度 0.70
• Copyright Page
  crossref 2025-03-28T02:29:03Z 置信度 0.70
• Brain-Computer Interface Systems - Recent Progress and Future Prospects
  Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer. In the recent years, attention to this new area of research and the number of pub…
  openalex Reza Fazel-Rezai 2013-06-05 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Artificial intelligenceMachine learning
• Progress on event related potential from sensory stimulation for brain computer interface
  crossref Dong Ming 2009-12-16T09:13:22Z 置信度 0.70
• A brain—computer interface-based meal—assist robot control system
  Brain-computer interface (BCI) research has evolved enough to be applied for everyday use. Assistance devices have been developed to aid those who are disabled and aging. Many meal-assist robots are already in the market. However, the previous meal-assist robo…
  crossref Jihyeon Ha, Laehyun Kim 2021-05-17T18:58:03Z 置信度 0.70
• Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures
  In recent years, brain computer interfaces (BCIs) have gained popularity in non-medical domains such as the gaming, entertainment, personal health, and marketing industries. A growing number of companies offer various inexpensive consumer grade BCIs and some o…
  crossref Anuj Arun Bhalotiya 2025-02-15T09:29:36Z 置信度 0.70
• Technical program
  crossref 2013-04-26T23:28:33Z 置信度 0.70
• Cover page
  crossref 2015-04-03T10:53:39Z 置信度 0.70
• Mind the sheep! User experience evaluation &amp; brain-computer interface games
  A brain-computer interface (BCI) infers our actions (e.g. a movement), intentions (e.g. preparation for a movement) and psychological states (e.g. emotion, attention) by interpreting our brain signals. It uses the inferences it makes to manipulate a computer. …
  crossref Hayrettin Gürkök 2012-06-19T06:48:37Z 置信度 0.70
• Brain-Computer Interface
  crossref Muhammad Adeel Javaid 2014-02-05T16:00:49Z 置信度 0.70
• Brain-computer interface
  crossref Faranak Farzan 2024-09-20T02:40:54Z 置信度 0.70
• Technical program
  crossref 2018-03-12T17:53:47Z 置信度 0.70
• Technical Program
  crossref 2025-03-28T02:29:03Z 置信度 0.70
• Creation of a high resolution EEG based Brain Computer Interface for classifying motor imagery of daily life activities
  Application of Brain Computer Interface (BCI) is revolutionizing control of prosthetic or exoskeleton devices directly through human thought. A BCI is expected to classify day-to-day life activities like grabbing and lifting a glass of water. Currently, motor …
  crossref Siju G. Chacko, Prashant Tayade, Simran Kaur, Ratna Sharma 2019-06-18T00:15:31Z 置信度 0.70
• Brain-Computer Interface
  crossref Muhammad Adeel Javaid 2013-10-30T15:49:31Z 置信度 0.70
• [Copyright notice]
  crossref 2018-03-12T21:53:47Z 置信度 0.70
• Brain-Computer Interface and Intelligent Transportation
  crossref Guanghui Zhao 2026-01-19T10:10:44Z 置信度 0.70
• Brain connectivity evaluation during selective attention using EEG-based brain-computer interface
  Attentional deficits may be caused by neurological diseases, including Attention-Deficit/Hyperactivity Disorder (ADHD), Alzheimer’s disease (AD), Traumatic Brain Injuries (TBI), etc. This work aims to evaluate selective attention under visual stimulations of f…
  crossref Soheil Borhani, Reza Abiri, Yang Jiang, Taylor Berger 等 2019-08-07T12:26:38Z 置信度 0.70
• Front Cover
  crossref 2025-03-27T22:29:03Z 置信度 0.70
• A high-performance brain-machine interface (BMI) using image information
  Sensory feedback is very important for movement control. However the feedback information has not been considered in the brain-machine interface (BMI) studies. Here, we propose a novel prediction method, the feedback-prediction algorithm (FPA), to generate fee…
  crossref Hong Gi Yeom, June Sic Kim, Chun Kee Chung 2014-04-15T17:17:31Z 置信度 0.70
• P300 brain-computer interface: comparing faces to size matched non-face stimuli
  Non-invasive brain–computer interface (BCI) technology can restore communication for those unable to communicate due to loss of muscle control. Nonetheless, compared to augmentative and alternative communication (AAC) devices requiring muscular control, BCIs p…
  crossref M. R. Kellicut-Jones, E. W. Sellers 2018-02-22T08:57:09Z 置信度 0.70
• EEG KISS: Shared Multi-modal, Multi Brain Computer Interface Experience, in Public Space
  crossref Karen Lancel, Hermen Maat, Frances Brazier 2019-05-25T13:03:56Z 置信度 0.70
• Towards Paradigm-Independent Brain Computer Interfaces
  Brain-computer interfaces (BCIs) provide an alternative pathway of communication between humans and external devices. There are three major paradigms that are commonly employed for BCI: motor-imagery (MI), event-related potential (ERP), and steady-state visual…
  crossref Albina Li, Kanat Alimanov, Siamac Fazli, Min-Ho Lee 2020-04-10T04:23:57Z 置信度 0.70
• Brain Signals as a New Biometric Authentication Method Using Brain-Computer Interface
  crossref Fares Yousefi, Hoshang Kolivand 2024-01-10T17:03:06Z 置信度 0.70
• Brain Signals as a New Biometric Authentication Method Using Brain-Computer Interface
  crossref Fares Yousefi, Hoshang Kolivand 2019-08-20T00:02:36Z 置信度 0.70
• Advances in Non-Invasive Brain Computer Interfaces for Control and Biometry
  However, the most recent advances in acquisition technology and signal processing assert that controlling certain functions by neural interfaces may have a significant impact in the way people will operate computers, wheelchairs, prostheses, robotic systems an…
  crossref Nuno Figueiredo, Filipe Silva, Ptia Georgieva, Ana Tom 2012-03-29T08:24:04Z 置信度 0.70
• Neural manifolds: from basic science to practical improvements in brain-computer intefaces
  Intracortical brain-computer interfaces hold the potential to improve the quality of life for patients living with motor control disorders. However, a critical barrier to the successful clinical translation of these devices is recording instability, which, if …
  crossref Steven M. Chase 2019-06-17T20:15:31Z 置信度 0.70
• Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces
  Constructing accurate predictive models for the detection of event-related potentials (ERPs) is a crucial step to obtain robust Brain-Computer Interface (BCI) systems. In this regard, the majority of previous studies have used spatiotemporal features of ERPs f…
  crossref Berdakh Abibullaev, Yerzhan Orazayev, Amin Zollanvari 2019-06-17T20:15:31Z 置信度 0.70
• Understanding &amp; Improving Mental-Imagery Based Brain-Computer Interface (Mi-Bci) User-Training : towards A New Generation Of Reliable, Efficient &amp; Accessible Brain- Computer Interfaces
  Comprendre &amp; Améliorer l’Entraînement des Utilisateurs d’Interfaces Cerveau-Ordinateur basées sur l’Imagerie Mentale : vers une Nouvelle Gérération d’Interfaces Cerveau-Ordinateur Fiables, Efficientes et Accessibles Les Interfaces Cerveau-Ordinateur basées…
  crossref Camille Jeunet 2026-04-02T06:42:06Z 置信度 0.70
• Presentation of the Brain–Mind Interface
  crossref 2020-01-20T22:55:00Z 置信度 0.70
• Study of modern brain-imaging and -signaling techniques for brain–computer interface
  crossref Vikas Dilliwar, Mridu Sahu 2020-04-17T14:02:03Z 置信度 0.70
• Colour Detection Using Brain Computer Interface
  crossref Yinsheng Chen 2019-11-14T07:02:52Z 置信度 0.70
• Color Detection Using Brain Computer Interface
  crossref Yinsheng Chen 2024-01-10T17:03:06Z 置信度 0.70
• Brain-Computer Interface Research: A State-of-the-Art Summary 11
  crossref Christoph Guger, Nuri Firat Ince, Milena Korostenskaja, Brendan Z. Allison 2023-12-31T19:01:57Z 置信度 0.70
• Recent Advances in Brain-Computer Interface Research: A Summary of the 2020 BCI Award
  crossref Christoph Guger, Brendan Z. Allison, Aysegul Gunduz 2021-08-28T04:02:48Z 置信度 0.70
• User-Appropriate and Robust Control Strategies to Enhance Brain−Computer Interface Performance and Usability
  crossref E. V. C. Friedrich, R. Scherer, C. Neuper 2013-03-26T01:29:52Z 置信度 0.70
• A Simple, Spectral-Change Based, Electrocorticographic Brain–Computer Interface
  crossref Kai J. Miller, Jeffrey G. Ojemann 2010-11-02T16:23:23Z 置信度 0.70
• A Brain-Computer-Interface to Combat Musculoskeletal Pain
  crossref N. Mrachacz-Kersting, L. Yao, S. Gervasio, N. Jiang 等 2017-04-29T13:08:54Z 置信度 0.70
• Brain-Computer Interface Research: A State-of-the-Art Summary 12
  openalex Christoph Guger, Jose M. Azorin, Milena Korostenskaja, Brendan Z. Allison 等 2025-01-01 置信度 0.72 Interface (matter)Brain–computer interfaceState (computer science)Computer scienceCognitive science
• [Back cover]
  crossref 2022-03-17T20:56:01Z 置信度 0.70
• BCI 2026 TOC
  crossref 2026-03-19T20:04:24Z 置信度 0.70
• A Humanoid Robot Control System with SSVEP-based Asynchronous Brain-Computer Interface
  crossref Zhidong DENG, Xiuquan LI, Kuanhao ZHENG, Wentao YAO 2011-09-27T08:45:52Z 置信度 0.70
• Brain computer interface
  Abstract—We report the implementation of a text input applica-tion (speller) based on the P300 event related potential. We obtain high accuracies by using an SVM classifier and a novel feature. These techniques enable us to maintain fast performance without sa…
  crossref 2016-08-04T16:27:58Z 置信度 0.70
• Improving the Efficacy of Ipsilesional Brain-Computer Interface Training in Neurorehabilitation of Chronic Stroke
  crossref Surjo R. Soekadar, Niels Birbaumer 2014-03-12T06:14:43Z 置信度 0.70
• Spotlight 1
  crossref 2020-04-10T00:23:57Z 置信度 0.70
• BCI 2026 TOC
  crossref 2026-03-19T20:04:24Z 置信度 0.70
• Session list
  crossref 2016-05-04T16:43:25Z 置信度 0.70
• [Front cover]
  crossref 2019-06-18T00:15:31Z 置信度 0.70
• Brain-computer Interface for Spelling and Environmental Control
  crossref Christoph Guger 2013-02-20T12:46:49Z 置信度 0.70
• Ethics of brain-computer interface in mental healthcare.
  Invasive, semi-invasive, and non-invasive brain-computer interfaces (BCI) are playing an increasingly important role in mental healthcare. They play a central role in all the stages of neuro-behavioural interventions, both by the care providers and the caretak…
  pubmed Chandra A, Ramaprasad A, Rangaswamy M, Ajay Chandra 等 2026 置信度 0.82
• BCIJelly: An integrated ecosystem for brain–computer interface research
  Brain–computer interface (BCI) research relies on multistage computational pipelines, but progress has been slowed by fragmented data formats, heterogeneous decoder implementations and hardware-specific deployment toolchains. Here, we introduce BCIJelly, a uni…
  europepmc 2026 置信度 0.80
• Brain-computer interface training for motor recovery after stroke.
  Stroke is one of the leading causes of death and disability worldwide. Motor dysfunction is a highly prevalent and disabling consequence of stroke. Brain-computer interface (BCI) training has emerged as a promising neurorehabilitative strategy that utilises cl…
  pubmed Qin Y, Li M, Li Y, Ma M 等 2026 置信度 0.82
• Volitional deep brain stimulation following brain-computer interface training for Parkinson’s disease
  Abstract Deep brain stimulation (DBS) is transforming from a static therapy toward adaptive systems that adjust stimulation based on neural biomarkers. However, the detection of reliable biomarkers that capture the multi-dimensional nature of complex symptoms …
  europepmc Jin-Xiao Zhang, Jiyeon Suh, Pria Daniel, Philip Starr 等 2026 置信度 0.80
• EEG-based brain-computer interface (BCI) dataset for directional word recognition.
  We present an EEG dataset recorded from 22 neurologically healthy volunteers (12 native Russian speakers and 10 native Spanish speakers) during overt and covert articulation of six spatial-direction words. Monopolar EEG signals were acquired from 38 electrodes…
  pubmed Kostulin DV, Shaposhnikov PD, Ekizyan AK, Shevchenko IG 等 2026 置信度 0.82
• [Emerging role of brain-computer interface in orthopedic rehabilitation and motor function restoration].
  To review the research progress and application prospects of brain-computer interface (BCI) in orthopedic rehabilitation and motor function restoration.
  pubmed Deng Q, Wu K, Xie L, Zhang L 等 2026 置信度 0.82
• Long-term stability of cellular-resolution brain-computer interface recordings after stroke
  Implantable brain-computer interfaces (iBCIs) with single-neuron resolution are showing great promise for restoring mobility and communication in individuals with spinal cord injury or motor neuron disease. Stroke is the most common cause of acquired brain inj…
  europepmc 2026 置信度 0.80
• Quantifying Large Language Model Influence in Brain Computer Interface Communication for Amyotrophic Lateral Sclerosis
  Large language models are integrated into brain-computer interfaces for communication, but accuracy does not show whether an emitted character depended on neural evidence or on the language-model prior. We retrospectively re-decoded 3,373 P300-speller selectio…
  europepmc 2026 置信度 0.80
• Application of Brain-Computer Interface Technology in Vascular Cognitive Impairment: A Systematic Review.
  Background: Vascular cognitive impairment (VCI) is a common consequence of cerebrovascular diseases and significantly affects multiple cognitive domains. Brain-computer interface (BCI) technology has emerged as a promising tool for cognitive assessment and reh…
  pubmed He J, Mao T, Sun Y, Guan L 2026 置信度 0.82
• Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.
  Electroencephalography (EEG) measured inside or around ears, called ear-EEG, provides a practical measurement modality for daily brain-computer interface (BCI) applications. However, reliable decoding of mental imagery remains challenging due to the limited nu…
  pubmed Kim JS, Choi SI, Hwang HJ, Han CH 2026 置信度 0.82
• Closed-loop EEG-based neurofeedback and brain-computer interface interventions for mental health: a review.
  Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) have been widely explored for detecting and monitoring mental health-related states, with many existing studies focusing on identification and classification. Such approaches are primarily obser…
  pubmed Zhang Y, Qian K, Coyle D, Dangana M 等 2026 置信度 0.82
• EEG Microstate Sequences as Potential Brain-Computer Interface Triggers Derived from Motor Imagery Classification
  ABSTRACT EEG microstates are a distinct number of quasi-stable spatial distributions of brain activity. Microstate trajectories are strongly suspected to reflect the underlying neural mechanisms during information processing and are therefore also called the ”…
  europepmc Annika Wollmann, Markus Goldhacker 2026 置信度 0.80
• A review of classification algorithms for EEG-based brain–computer interfaces
  In this paper we review classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, …
  openalex Fabien Lotte, Marco Congedo, A. Lécuyer, F. Lamarche 等 2007-01-31 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Algorithm