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• Author Index
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• Front Cover
  crossref 2025-02-19T18:39:08Z 置信度 0.70
• Welcome Message
  We are delighted to welcome you to the 2024 International Conference on Brain-Computer Interface and Healthcare Technologies (iCon-BCIHT), the premier event for researchers, practitioners, and industry professionals in the fields of brain-computer interface (B…
  crossref 2025-02-19T18:39:08Z 置信度 0.70
• Copyright Page
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• Advisory Committee
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• Title Page
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• Brain Criticality and its Relation to BCI Operation
  This paper reviews existing results that may link brain criticality and BCI operation in healthy subjects and those diagnosed with neurodegenerative disease (ALS).
  crossref Tomko Settgast, Andrea Kübler 2024-04-02T18:37:26Z 置信度 0.70
• Table of Contents
  crossref 2025-02-19T18:39:08Z 置信度 0.70
• BCI 2024 Welcome Message from the General Chairs
  It is again a great pleasure to welcome you to the 12 th International Winter Conference on Brain-Computer Interface.BCI2024 will be taking a hybrid conference format with both virtual and on-site attendees as another successful edition.We aim to provide an in…
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• Augmented-reality based brain-computer interface of robot control
  Brain Computer Interface (BCI) is a new approach to human-computer interaction. It can control the external devices directly with the brain without words and body movements. Brain-controlled robot is a major research area in the field of BCI, which organically…
  crossref Junying Hu 2024-02-20T02:49:21Z 置信度 0.70
• Effect of inverted faces as visual stimuli on the performance of the hybrid SSVEP + P300 brain computer interface
  Introduction This study proposes a hybrid brain-computer interface (BCI) system that simultaneously evokes steady-state visual evoked potentials (SSVEP) and event-related potentials (P300). The goal of this study was to improve the performance of the current h…
  crossref Deepak D. Kapgate 2024-06-17T15:15:15Z 置信度 0.70
• Brain Computer Interfaces for Enhancing Motor Imagery Classification Using EEG Signal
  The aim of signal processing with transformation techniques, is to precisely identify frequencies and extract minute signal variations. Previous studies have employed various time-frequency distributions (TFD) to extract features from electroen-cephalogram (EE…
  crossref Rajveer Singh Lalawat, Varun Bajaj, Prabin Kumar Padhy 2025-02-19T18:39:08Z 置信度 0.70
• Brain-Computer Interface Technology in Stroke Rehabilitation
  Stroke survivors and their families have had to cope with major obstacles, but Brain-Computer Interface (BCI) technology is being touted as an innovation that is a game changer. Traditional modes of rehabilitation offer only minimal help to the severely impair…
  crossref Cheng Zhao 2024-06-06T15:57:02Z 置信度 0.70
• Legal and Ethical Challenges Raised by Advances in Brain-Computer Interface Technology
  crossref Colin Conrad, Carla Heggie 2024-06-21T09:22:16Z 置信度 0.70
• Convolutional Transformer-in-Transformer for Automatic Sleep Stage Classification
  In this paper, a convolutional transformer-in-transformer architecture is proposed to capture local and global dependencies along time and frequency axes for automatic sleep staging. Existing sleep staging methods based on transformers have weaknesses in captu…
  crossref Moogyeong Kim, Wonzoo Chung 2024-04-02T18:37:26Z 置信度 0.70
• Ethical tightrope: Navigating neuro-ethics in brain computer interface (BCI) technology
  crossref Allah Yar Yahya Khan, Ammar Anjum, Haseeb Mehmood Qadri 2024-04-01T12:06:12Z 置信度 0.70
• Fatigue Analysis in Assembly Line Workers Using Brain Computer Interface
  In contemporary industrial manufacturing, the assembly line remains a pivotal component, offering significant employment opportunities for human workers engaged in the production of a broad spectrum of products. The efficiency of assembly line operations is in…
  crossref Faraz Ahmad, Maohua Liu, Fred R. Beyette 2024-04-24T17:22:34Z 置信度 0.70
• Temporal Convolutional Network-based Multi-View Sleep Staging
  In this paper, we propose a novel approach for multi-view sleep staging using Temporal Convolutional Networks (TCNs). Our method effectively processes both time and time-frequency domain representations by incorporating intra and inter-epoch level layers of TC…
  crossref Koohong Jung, Wonzoo Chung 2024-04-02T18:37:26Z 置信度 0.70
• Calibration-free online test-time adaptation for electroencephalography motor imagery decoding
  Providing a promising pathway to link the human brain with external devices, Brain-Computer Interfaces (BCIs) have seen notable advancements in decoding capabilities, primarily driven by increasingly sophisticated techniques, especially deep learning. However,…
  crossref Martin Wimpff, Mario Döbler, Bin Yang 2024-04-02T18:37:26Z 置信度 0.70
• Enhancing Decision-making Function Using Brain-computer Interface
  Brain-computer interfaces (BCIs) are one of the key research topics today, particularly important in the field of neuroscience, and researchers have found that BCIs can be applied not only to stroke or paralyzed patients to allow them brain-computer interfaces…
  crossref Changxin Yang 2024-06-06T16:03:32Z 置信度 0.70
• Application of hybrid SSVEP + P300 brain computer interface to control avatar movement in mobile virtual reality gaming environment
  Introduction This research evaluated the feasibility of a hybrid SSVEP + P300 brain computer interface (BCI) for controlling the movement of an avatar in a virtual reality (VR) gaming environment (VR + BCI). Existing VR + BCI gaming environments have limitatio…
  crossref Deepak D. Kapgate 2024-07-20T06:09:59Z 置信度 0.70
• Remediating Phonological Deficits in Dyslexia with Brain-Computer Interfaces
  crossref João Araújo, Benjamin D. Simons, Usha Goswami 2023-12-31T19:01:57Z 置信度 0.70
• Brain-Controlled Robot Based on Augmented-Reality Brain-Computer Interface
  Brain-computer interface (BCI), as a new type of human-computer interaction, has a broad application prospect in improving the lives of people with disabilities, and a great potential in empowering operators with additional executive abilities. Most of the tra…
  crossref Haorui Ge, Luzheng Bi, Aberham Genetu Feleke, Weijie Fei 2025-01-22T18:45:23Z 置信度 0.70
• The effect of brain-computer interface on lower limb function in stroke patients:a meta-analysis
  The Cochrane Library were searched for literatures published from the database establishment to March 2024.Participant or population Adults aged 18 years and older who were diagnosed as stroke patients with residual lower extremity motor dysfunction and cognit…
  crossref Xiaozhen Guo, Pan Li 2024-06-18T13:27:45Z 置信度 0.70
• Multiplayer Collaborative Game Using Cloud Computing Based Brain-Computer Interface
  Brain-computer interface (BCI) technology has garnered significant attention in the realm of game control, showcasing its immense potential. By leveraging collected electroencephalogram (EEG) signals and body movements captured by machine vision for game inter…
  crossref FangZhe Zhang, JiangMao Zheng, Tao Wang 2025-07-02T17:42:27Z 置信度 0.70
• ODL-BCI: Optimal deep learning model for brain-computer interface to classify students confusion via hyperparameter tuning
  Brain-computer interface (BCI) research has gained increasing attention in educational contexts, offering the potential to monitor and enhance students’ cognitive states. Real-time classification of students’ confusion levels using electroencephalogram (EEG) d…
  crossref Md Ochiuddin Miah, Umme Habiba, Md Faisal Kabir 2024-02-12T12:03:45Z 置信度 0.70
• Error Related Potential Detection Algorithm for Brain Computer Interface
  The utilization of error-related potentials (ErrPs) in brain-computer interfaces shows great promise for improving control performance. However, several limitations, such as insufficient data and data imbalance, often impede the accurate recognition of ErrPs. …
  crossref Zheng Li, Huasong Min 2024-07-17T17:18:23Z 置信度 0.70
• Thought-Controlled Computer Applications: A Brain–Computer Interface System for Severe Disability Support
  This study introduces an integrated computational environment that leverages Brain–Computer Interface (BCI) technology to enhance information access for individuals with severe disabilities. Traditional assistive technologies often rely on physical interaction…
  pubmed Kais Belwafi, Fakhreddine Ghaffari, Belwafi K, Ghaffari F 2024 Oct 21 置信度 0.82
• Modulation of Alpha Band Brain Connectivity during Motor Imagery via Bimanual Motor Training
  Traditional post-stroke rehabilitation primarily targeted the affected side of the body. However, recent approaches emphasized the advantages of incorporating bimanual training into the rehabilitation process. In this study, the potential impacts of bimanual r…
  crossref Chatrin Phunruangsakao, Jamiyanpurev Budsuren, Mitsuhiro Hayashibe 2024-04-02T18:37:26Z 置信度 0.70
• Brain-Computer Interface Meets Information Retrieval: Perspective on Next-generation Information System
  crossref Ziyi Ye, Qingyao Ai, Yiqun Liu 2024-10-20T14:10:37Z 置信度 0.70
• Analysis and recognition of a novel experimental paradigm for musical emotion brain-computer interface
  Musical emotions have received increasing attention over the years. To better recognize the emotions by brain-computer interface (BCI), the random music-playing and sequential music-playing experimental paradigms are proposed and compared in this paper. Two ex…
  crossref Jin Li, Li Wang, Zhun Zhang, Yujie Feng 等 2024-05-28T23:32:21Z 置信度 0.70
• Research on Signal Preprocessing Methods based on Brain-computer Interface
  With the rapid advancement of neuroscience and engineering technology, Brain-Computer Interface (BCI) technology has garnered widespread attention and research interest as an innovative means of directly connecting the human brain to external devices. BCI has …
  openalex Chenyu Xin 2024-06-06 置信度 0.72 PreprocessorComputer scienceInterface (matter)SIGNAL (programming language)Brain–computer interface
• Visual flow-based programming plugin for brain–computer Interface in computer-aided design
  crossref Tong Bill Xu, Saleh Kalantari 2024-07-17T01:48:59Z 置信度 0.70
• Application of brain-computer interface in the field of neurobiology
  With people’s in-depth understanding of the nervous system and the rapid development of the computer and communication fields, brain-computer interfaces have gradually become a reality. As a fusion technology in neurobiology, computer science, and communicatio…
  crossref Zihao Shang 2024-06-06T16:05:10Z 置信度 0.70
• Brain-Computer Interface: The Construction of Artificial Highways
  One of the nifty advent of technology in terms of neurobionics is the Brain-Computer Interface (BCI). It will be no wrong to regard its principle somewhat likely to a real-time chip robot that deciphers human impulses, traversing on the nerve highways, into co…
  openalex Ahmed Alwazzan 2024-02-29 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceHuman–computer interactionTransport engineering
• Neural decoding for BCI: the objectives, principles and the future
  The brain computer interface field draws inspirations from neuroscience, but is also deeply influenced by the emerging trends in the deep learning field and the broader machine learning community. In my talk I will provide a review of recent progress in the fi…
  crossref Konrad Kording 2024-04-02T18:37:26Z 置信度 0.70
• A Review on Brain-Computer Interface
  "Brain-Computer Interface (BCI)" technology has witnessed significant advancements in recent years, revolutionizing the interaction between humans and machines. This review paper offers a comprehensive overview of the existing BCI systems by synthesizing insig…
  crossref S. Rakesh, Adarsh Shetkar, Piratla Gayatri, Pranav Reddy 2025-05-23T17:02:44Z 置信度 0.70
• Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
  Electroencephalography (EEG) classification is a versatile and portable technique for building non-invasive Brain-computer Interfaces (BCI). However, the classifiers that decode cognitive states from EEG brain data perform poorly when tested on newer domains, …
  crossref Anupam Sharma, Krishna Miyapuram 2024-09-09T17:35:05Z 置信度 0.70
• Empowering the Disabled with Brain-Computer Interface
  This work presents a Brain-Computer Interface (BCI) system designed to help persons suffering from severe motor function loss due to accidents or diseases. The system enables users to control and interact with their external environment through neural signals.…
  crossref To Geetharani, Purushottama Lingadevaru 2024-12-20T18:55:38Z 置信度 0.70
• Human brain extended: Neuralink's brain‐computer interface trial starts
  Brain-computer interfaces (BCIs), an advanced technology that is designed to record and decode brain activity, may transmit information communication between the brain and external devices, such as computers, wheelchairs, and robotic arms1 (Figure 1). Elon Mus…
  crossref Yonghan Zhang, Min Wu 2024-05-15T05:04:05Z 置信度 0.70
• From Research to Rehabilitation: A Systematic Review of Brain-Computer Interface Feasibility and Functional Outcomes in Health
  The findings will be disseminated through multiple channels to maximize reach within the scientific community.
  crossref Sauvit Patil, Siddharth Shahi 2024-06-27T18:04:09Z 置信度 0.70
• Sensor-Based Brain/Machine Interface with Neuromuscular Stimulation to Allow Walking by Thoracic-Level Paraplegics
  The paper describes a sensor-based virtual Brain-to-Machine Interface (BMI) that allows walking at will by certain complete thoracic-level paraplegics using neuromuscular electrical stimulation (NMES). The multi-sensor system is walker-mounted, using a recipro…
  crossref Daniel Graupe 2025-01-02T05:36:18Z 置信度 0.70
• Application and Prospects of Non-Invasive Brain-Computer Interface (BCI) Technologies
  The BCI technology has long been known as a technology that could transform our modern world entirely. Despite most of the BCI today being invasive, non-invasive BCI are also developing toward its real world implementation. Compared with the traditional ones, …
  crossref Ruomu Xu 2024-12-31T17:53:49Z 置信度 0.70
• Dataset of Easy Screen P300 Speller Brain–Computer Interface Design
  A dataset has been created to support advancements in brain-computer interface (BCI) research, particularly focusing on P300 speller systems and electroencephalography (EEG) signal analysis. This dataset provides detailed EEG recordings from 30 healthy partici…
  crossref Abdullah Bilal Aygün, Ahmet Reşit Kavsaoğlu 2025-01-17T06:44:35Z 置信度 0.70
• Challenge and Ethical Concerns in Brain-Computer Interface Application
  Brain-computer interfaces (BCI) are commonly used in Neurological Rehabilitation, epilepsy management, Amyotrophic Lateral Sclerosis (ALS), and similar diseases. BCI can improve the communication skills of people affected by these diseases. They can be used to…
  crossref Kadircan H. Keskinbora 2024-03-14T06:14:18Z 置信度 0.70
• Can a placebo increase learning rates? Evidence from neurofeedback studies
  In brain-computer interface (BCI) as well as in neurofeedback (NF) applications, users employ various mental strategies to evoke certain brain activation patterns to control, e.g., external devices or to reach a specific mental or cognitive state [1–3]. Howeve…
  crossref Silvia Erika Kober 2024-04-02T18:37:26Z 置信度 0.70
• Progress in the Application of Brain-computer Interface Technology in Stroke Rehabilitation
  Stroke patients are often left with different degrees of dysfunction in different aspects, which seriously affects patients' schedule and quality of life. At present, the rehabilitation of stroke patients mainly relies on passive and repetitive training of pat…
  crossref 2024-04-03T03:38:11Z 置信度 0.70
• Unlocking interbrain neural signatures differences during triadic cooperation and competition: Evidence from EEG hyperscanning.
  Cooperation and competition are fundamental to human social interaction. While recent hyperscanning studies have linked stronger interbrain synchrony (IBS) to successful cooperation, most have focused on dyadic interactions, leaving the underlying neural mecha…
  europepmc 2026 置信度 0.80
• Decoding Upper-Limb Motor Imagery from EEG Signals: A Systematic Review of Methods and Applications.
  Brain-computer interfaces (BCIs) have emerged as a promising technology with significant potential across various domains in recent years, including healthcare, industry, and entertainment. Among the many BCI paradigms, motor imagery (MI) based on electroencep…
  pubmed Su Z, Gan KB, Sim KS 2026 置信度 0.82
• Computational modelling of effort-based decision-making in depression: The role of apathy and anhedonia in adolescent girls.
  Adolescence is a period of heightened vulnerability to depression, particularly in females. Motivational deficits are a hallmark of depression, yet the cognitive mechanisms underlying impaired effort-based decision-making (EBDM) in female adolescents remain po…
  pubmed Zeng N, Zhou D, Zhou J, Su Y 等 2026 置信度 0.82
• A Lightweight Dual-Attention Neural Network for Robust and Efficient EEG Motor Imagery Decoding.
  Motor imagery-based brain-computer interface (MI-BCI) faces a critical challenge in achieving effective spatial-temporal feature modeling while maintaining a compact model parameterization. Herein, a lightweight model was proposed, termed as Dual-Attention-EEG…
  europepmc 2026 置信度 0.80
• A comprehensive review of EMG/EEG based wheelchair control systems for individuals with disabilities: HMI and BCI perspectives.
  Human-machine interface (HMI) and brain-computer interface (BCI) are proving to help make technologies better and helpful for people with disabilities. These systems give individuals the ability to easily control wheelchair, and enhance their quality of life. …
  pubmed Kaur A, Garg R, Prasad S 2026 置信度 0.82
• Passive acoustic monitoring captures spatiotemporal dynamics of urban zoo soundscapes.
  Urban zoos are important but complex artificial ecosystems that integrate wildlife conservation with public education. Their soundscapes, including anthrophony, biophony, and geophony, show significant spatiotemporal dynamics. Persistent fluctuations could con…
  pubmed Li X, Zhang W, Tian S, Wang Z 等 2026 置信度 0.82
• The role of neuromorphic principles in the future of biomedicine and healthcare.
  Objective. Determine if neuromorphic engineering, which has matured over the past four decades and is currently experiencing explosive growth, has the potential to transform biomedical engineering and neurotechnologies. Approach. Participants at the Neuromorph…
  pubmed Hwang GM, Falcone JD, Monaco JD, Pinard CR 等 2026 置信度 0.82
• Decoding inner speech with functional connectivity.
  Background: Inner-Speech (IS) based Brain-Computer Interfaces (BCIs) offer potential communication solutions for individuals with disabilities by decoding brain signals generated during speech imagination. While most IS-BCI systems rely on time-frequency EEG f…
  europepmc 2026 置信度 0.80
• Transfer learning for EEG-based BCIs: a comparative evaluation and optimization of data alignment methods.
  This paper addresses a critical challenge in developing practical EEG-based brain-computer interfaces (BCIs): enhancing cross-subject generalization by mitigating individual differences in brain signals. How can we effectively leverage data from existing subje…
  pubmed Ahmed SG, Ambali Parambil MM, Damseh R, Bouktif S 等 2026 置信度 0.82
• Correction: Rudroff, T. Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges. <i>Neurol. Int.</i> 2024, <i>16</i>, 805-820.
  europepmc 2026 置信度 0.80
• Bridging cognition and control through passive eye movement integration in motor imagery brain-computer interfaces.
  Motor Imagery (MI) Brain-Computer Interfaces (BCIs) represent a promising technology for neurorehabilitation and assistive control. However, the clinical viability of these systems is frequently hindered by the inherent limitations of electroencephalography (E…
  pubmed D'Aquino A, Schack T 2026 置信度 0.82
• A comparative study of five telerehabilitation therapies for improving core symptoms in stroke patients: A network meta-analysis (2,833 patients).
  This network meta-analysis demonstrates that virtual reality therapy exhibits significant advantages in specific functional domains of remote rehabilitation: Remote virtual reality technology demonstrated the most pronounced effects in improving gait (SUCRA = …
  europepmc 2026 置信度 0.80
• Brain-computer interfaces and neural synchronization in esports: a systematic review of effects on reaction time, decision-making, and cognitive performance.
  Background The rapid expansion of esports has intensified interest in the cognitive and neurophysiological mechanisms underlying elite performance, particularly reaction time (RT), decision-making (DM), and neural efficiency. Advances in brain-computer interfa…
  europepmc 2026 置信度 0.80
• Editorial: Non invasive BCI for communication.
  pubmed Moaveninejad S, Santamaría-Vázquez E, Xu J, Porcaro C 2026 置信度 0.82
• High accuracy EEG signal classification for brain computer interfaces using advanced neural architectures.
  Introduction: This study proposes advanced neural network architectures for classifying specific motor-related electroencephalography (EEG) tasks, employing deep feature extraction techniques. We analyzed EEG data from the MILimbEEG dataset, consisting of reco…
  europepmc Daicheng Lin, Q. Q. Zhang, Huan Chen, Yanjie Lu 等 2026 置信度 0.80 Computer scienceElectroencephalographyArtificial intelligenceBrain–computer interfaceArtificial neural network
• Neurorehabilitation in Transition: Neuroplasticity, Meaningful Outcomes, and Intelligent Technologies in the Highly Cited <i>Brain Sciences</i> Papers of 2024.
  Neurorehabilitation has entered a phase of rapid conceptual expansion [...].
  europepmc 2026 置信度 0.80
• Motor imagery BCI enables more practical and user-friendly exoskeleton control than smartwatch for users with spinal cord injury: a preliminary study.
  BACKGROUND: Non-invasive brain-computer interface (BCI) technology has been widely studied for enabling individuals with spinal cord injury (SCI) to control assistive robotic devices, such as lower-limb exoskeletons. Although BCI-based control of lower-limb ex…
  pubmed Kim KT, Jeong JH, Sung DJ, Lee JY 等 2026 置信度 0.82
• Advancements in Nanomaterial-Based Biosensors for Neuropsychiatric and Neurodegenerative Diagnostics: From Biomarker Discovery to Clinical Translation.
  Nanobiosensors, with their unique physicochemical properties, are transformative tools for diagnosing and monitoring neurodegenerative diseases and mental disorders. This article systematically reviews the latest progress of nanomaterial systems and integrated…
  pubmed Li X, Han X, Han Q, He X 等 2026 置信度 0.82
• Attention-Adaptive BCI-AOT System Enhances Motor Recovery and Neural Engagement After Stroke.
  Stroke frequently results in long-term motor deficits that impair quality of life. Action observation therapy (AOT) has shown promise for motor recovery through engagement of the mirror neuron system (MNS), yet its passive nature and lack of attentional tracki…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Stroke Rehabilitation: A 20-Year Bibliometric Analysis of Digital Health Trends and Technologies.
  Background Stroke remains a leading cause of long-term disability worldwide, and rehabilitation is essential for recovery. Although artificial intelligence (AI)-related technologies have received growing attention in stroke rehabilitation, the knowledge struct…
  europepmc 2026 置信度 0.80
• Brain-to-text decoding with context-aware neural representations and large language models.
  Objective . Decoding attempted speech from neural activity offers a promising avenue for restoring communication abilities in individuals with speech impairments. Previous studies have focused on mapping neural activity to text using phonemes as the intermedia…
  pubmed Li J, Le T, Fan C, Chen M 等 2025 置信度 0.82
• Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs.
  Motor imagery-based Brain-Computer Interfaces (BCIs) restore control in persons with motor impairments, but up to 30% of users struggle, a phenomenon known as "BCI inefficiency". This study tackles a key limitation of current protocol: the use of fixed-length …
  europepmc 2026 置信度 0.80
• The Potential for a Speech Brain–Computer Interface Using Chronic Electrocorticography
  openalex Qinwan Rabbani, Griffin Milsap, Nathan E. Crone 2019-01-01 置信度 0.72 Brain–computer interfaceElectrocorticographyComputer scienceLocked-in syndromeSpeech recognition
• Semantic reconstruction of continuous language from non-invasive brain recordings
  openalex Jerry Tang, Amanda LeBel, Shailee Jain, Alexander G. Huth 2023-05-01 置信度 0.72 Computer scienceDecoding methodsBrain–computer interfaceFunctional magnetic resonance imagingDecodes
• The Glymphatic System and Waste Clearance with Brain Aging: A Review
  The glymphatic system is a glial-dependent waste clearance pathway in the brain, in place of lymphatic vessels, dedicated to drain away soluble waste proteins and metabolic products. Specifically, the glymphatic network serves as a "front end" for waste cleara…
  openalex Helene Benveniste, Xiaodan Liu, Sunil Koundal, Simon Sanggaard 等 2018-07-11 置信度 0.72 Glymphatic systemNeuroscienceHuman brainLymphatic systemCerebrospinal fluid
• A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
  The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique, continuous, and shared virtual world where humans embody a digital form within an onl…
  openalex Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen 等 2024-01-01 置信度 0.72 MetaverseHuman–computer interactionInterface (matter)Computer sciencePsychology
• Longevity of a Brain–Computer Interface for Amyotrophic Lateral Sclerosis
  The durability of communication with the use of brain-computer interfaces in persons with progressive neurodegenerative disease has not been extensively examined. We report on 7 years of independent at-home use of an implanted brain-computer interface for comm…
  openalex Mariska J. Vansteensel, Sacha Leinders, Mariana P. Branco, Nathan E. Crone 等 2024-08-14 置信度 0.72 Amyotrophic lateral sclerosisLongevityNeuroscienceBrain–computer interfaceMedicine
• Using Brain–Computer Interfaces and Brain-State Dependent Stimulation as Tools in Cognitive Neuroscience
  Large efforts are currently being made to develop and improve online analysis of brain activity which can be used, e.g., for brain-computer interfacing (BCI). A BCI allows a subject to control a device by willfully changing his/her own brain activity. BCI ther…
  openalex Ole Jensen, Ali Bahramisharif, Robert Oostenveld, Stefan Klanke 等 2011-01-01 置信度 0.72 PsychologyCognitive neuroscienceBrain stimulationNeuroscienceCognitive science
• Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS
  Brain-computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity recorded with intracranial electrodes may pave the way toward novel communication interfaces for people who have lost their ability to speak, or who are at high risk o…
  openalex Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N. Candrea 等 2024-04-26 置信度 0.72 Brain–computer interfaceComputer scienceSpeech recognitionInterface (matter)Aphasia
• Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications
  Brain-computer interfaces (BCIs), a remarkable technological advancement in neurology and neurosurgery, mark a significant leap since the inception of electroencephalography in 1924. These interfaces effectively convert central nervous system signals into comm…
  openalex Wireko Andrew Awuah, Arjun Ahluwalia, Kwadwo Darko, Vivek Sanker 等 2024-05-22 置信度 0.72 MedicineBridging (networking)NeuroscienceMedical physicsCognitive science
• Brain tumor detection and classification using machine learning: a comprehensive survey
  Abstract Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial phase, it may lead to death. Despite many significant efforts and promising outcomes in this domain, accurate segmentation and classification remain a cha…
  openalex Javaria Amin, Muhammad Sharif, Anandakumar Haldorai, Mussarat Yasmin 等 2021-11-08 置信度 0.72 Brain tumorComputer scienceSegmentationArtificial intelligenceDeep learning
• An EEG motor imagery dataset for brain computer interface in acute stroke patients
  The brain-computer interface (BCI) is a technology that involves direct communication with parts of the brain and has evolved rapidly in recent years; it has begun to be used in clinical practice, such as for patient rehabilitation. Patient electroencephalogra…
  openalex Haijie Liu, Penghu Wei, Haochong Wang, Xiaodong Lv 等 2024-01-25 置信度 0.72 Brain–computer interfaceMotor imageryElectroencephalographyInterface (matter)Computer science
• Brain–computer interface digital prescription for neurological disorders
  Neurological and psychiatric diseases can lead to motor, language, emotional disorder, and cognitive, hearing or visual impairment By decoding the intention of the brain in real time, the Brain-computer interface (BCI) can first assist in the diagnosis of dise…
  openalex Xiaoke Chai, Tianqing Cao, Qiheng He, Nan Wang 等 2024-02-01 置信度 0.72 Brain–computer interfaceMedical prescriptionInterface (matter)MedicinePhysical medicine and rehabilitation
• What brain signals are suitable for feedback control of deep brain stimulation in Parkinson's disease?
  Feedback control of deep brain stimulation (DBS) in Parkinson's disease has great potential to improve efficacy, reduce side effects, and decrease the cost of treatment. In this, the timing and intensity of stimulation are titrated according to biomarkers that…
  openalex Simon Little, Peter Brown 2012-07-25 置信度 0.72 Deep brain stimulationStimulationLocal field potentialNeuroscienceParkinson's disease
• Development of real-time brain-computer interface control system for robot
  Electroencephalogram (EEG)-based brain-computer interfaces (BCI) have been considered a prevailing non-invasive method for collecting human biomedical signals by attaching electrodes to the scalp. However, it is difficult to detect and use these signals to con…
  openalex Yang An, Johnny Wong, Sai Ho Ling 2024-04-21 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographySIGNAL (programming language)Artificial intelligence
• Neuralink’s brain-computer interfaces: medical innovations and ethical challenges
  Neuralink’s advancements in brain-computer interface (BCI) technology have positioned the company as a leader in this emerging field. The first human implant in 2024, followed by subsequent developments such as the Blindsight implant for vision restoration, ma…
  openalex Andrea Lavazza, Michela Balconi, Marcello Ienca, Francesca Minerva 等 2025-03-24 置信度 0.72 Engineering ethicsNeuroethicsPsychologyComputer scienceHuman–computer interaction
• Constructing organoid-brain-computer interfaces for neurofunctional repair after brain injury
  The reconstruction of damaged neural circuits is critical for neurological repair after brain injury. Classical brain-computer interfaces (BCIs) allow direct communication between the brain and external controllers to compensate for lost functions. Importantly…
  pubmed Nan Hu, Jianxin Shi, Chong Chen, Hai‐Huan Xu 等 2024 Nov 6 置信度 0.82 OrganoidNeuroscienceComputer scienceBiology
• The Human Phenotype Ontology in 2024: phenotypes around the world
  The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and ma…
  openalex Michael Gargano, Nicolas Matentzoglu, Ben Coleman, Eunice B Addo-Lartey 等 2023-10-19 置信度 0.72 OntologyClinical phenotypeBiologyInferencePhenotype
• Noninvasive Brain Stimulation in Traumatic Brain Injury
  OBJECTIVE: To review novel techniques of noninvasive brain stimulation (NBS), which may have value in assessment and treatment of traumatic brain injury (TBI). METHODS: Review of the following techniques: transcranial magnetic stimulation, transcranial direct …
  openalex Aslı Demirtaş-Tatlıdede, Andrew M. Vahabzadeh‐Hagh, Montserrat Bernabeu, Josep M. Tormos 等 2011-06-18 置信度 0.72 Traumatic brain injuryBrain stimulationTranscranial direct-current stimulationTranscranial magnetic stimulationMedicine
• The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces
  Individuals with severe neuromuscular impairments face many challenges in communication and manipulation of the environment. Brain-computer interfaces (BCIs) show promise in presenting real-world applications that can provide such individuals with the means to…
  openalex J. Clark Powers, Kateryna Bieliaieva, Shuohao Wu, Chang S. Nam 2015-08-10 置信度 0.72 UsabilityBrain–computer interfaceHuman–computer interactionComputer scienceUser interface
• Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review
  Brain-computer interfaces (BCIs) represent a groundbreaking approach to enabling direct communication for individuals with severe motor impairments, circumventing traditional neural and muscular pathways. Among the diverse array of BCI technologies, electroenc…
  pubmed Wenjie Jin, Xinxin Zhu, Lifeng Qian, Cunshu Wu 等 2024 置信度 0.82 NeurorehabilitationBrain–computer interfaceComputer scienceElectroencephalographyInterface (matter)
• Electrophysiological Brain Connectivity: Theory and Implementation
  We review the theory and algorithms of electrophysiological brain connectivity analysis. This tutorial is aimed at providing an introduction to brain functional connectivity from electrophysiological signals, including electroencephalography (EEG), magnetoence…
  openalex Bin He, Laura Astolfi, Pedro A. Valdés‐Sosa, Daniele Marinazzo 等 2019-05-07 置信度 0.72 MagnetoencephalographyElectrophysiologyElectrocorticographyStereoelectroencephalographyFunctional connectivity
• Efficacy and safety of brain–computer interface for stroke rehabilitation: an overview of systematic review
  Background: Stroke is a major global health challenge that significantly influences public health. In stroke rehabilitation, brain-computer interfaces (BCI) offer distinct advantages over traditional training programs, including improved motor recovery and gre…
  pubmed Jiajun Liu, Yiwei Li, Dongjie Zhao, Lirong Zhong 等 2025 置信度 0.82 RehabilitationPhysical medicine and rehabilitationStroke (engine)Systematic reviewMedicine
• Integration of neural networks in brain–computer interface applications: Research frontiers and trend analysis based on Python
  Brain–computer interfaces (BCIs) establish a connection between the human brain and external devices, facilitating novel forms of communication and control. Although BCIs possess significant potential, there is a need for performance improvements. Integrating …
  openalex Junming Chen, Hongyu Yin, Kai Zhang, Yangzhi Ren 等 2025-04-03 置信度 0.72 Computer sciencePython (programming language)Artificial neural networkArtificial intelligenceData science
• Effects of brain-computer interface based training on post-stroke upper-limb rehabilitation: a meta-analysis
  BACKGROUND: Previous research has used the brain-computer interface (BCI) to promote upper-limb motor rehabilitation. However, the results of these studies were variable, leaving efficacy unclear. OBJECTIVES: This review aims to evaluate the effects of BCI-bas…
  pubmed Dan Li, Ruoyu Li, Yunping Song, Wenting Qin 等 2025 Mar 3 置信度 0.82 RehabilitationPhysical medicine and rehabilitationStroke (engine)NeurologyMeta-analysis
• Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention
  A brain-computer interface (BCI) enables users to control devices with their minds. Despite advancements, non-invasive BCIs still exhibit high error rates, prompting investigation into the potential reduction through concurrent targeted neuromodulation. Transc…
  openalex Joshua Kosnoff, Kai Yu, Chang Liu, Bin He 2024-06-11 置信度 0.72 Brain–computer interfaceNeuromodulationElectroencephalographyNeuroscienceComputer science
• Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging
  Magnetic susceptibility varies among brain structures and provides insights into the chemical and molecular composition of brain tissues. However, the determination of an arbitrary susceptibility distribution from the measured MR signal phase is a challenging,…
  openalex Tian Liu, Jing Liu, Ludovic de Rochefort, Pascal Spincemaille 等 2011-04-04 置信度 0.72 Quantitative susceptibility mappingOrientation (vector space)Magnetic susceptibilityInverse problemDipole
• Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis
  In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transformative force, bridging the realms of biology and technology. This paper overviews CADDs historical evolution, categorization into structure-based and ligand-base…
  openalex Sarfaraz K. Niazi, Zamara Mariam 2023-12-22 置信度 0.72 ExpeditingComputer scienceData scienceDrug discoveryTransformative learning
• Understanding the Ethical Issues of Brain-Computer Interfaces (BCIs): A Blessing or the Beginning of a Dystopian Future?
  In recent years, scientific discoveries in the field of neuroscience combined with developments in the field of artificial intelligence have led to the development of a range of neurotechnologies. Advances in neuroimaging systems, neurostimulators, and brain-c…
  openalex Efstratios Livanis, Polychronis Voultsos, Κonstantinos Vadikolias, Panagiotis Pantazakos 等 2024-04-14 置信度 0.72 DystopiaBlessingBrain–computer interfacePsychologyComputer science
• On the role of generative artificial intelligence in the development of brain-computer interfaces
  Since their inception more than 50 years ago, Brain-Computer Interfaces (BCIs) have held promise to compensate for functions lost by people with disabilities through allowing direct communication between the brain and external devices. While research throughou…
  openalex Seif Eldawlatly 2024-05-02 置信度 0.72 Brain–computer interfaceComputer scienceBrain activity and meditationArtificial intelligenceElectroencephalography
• A Survey of Brain Tumor Segmentation and Classification Algorithms
  A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from magnetic resonance (MR) images is a challenging and time-consuming task. In addit…
  openalex Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, Taye Girma Debelee 2021-09-06 置信度 0.72 Computer scienceSegmentationArtificial intelligenceDeep learningBrain tumor
• Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review
  BACKGROUND: Brain-computer interface (BCI) offers promising solutions to cognitive enhancement in older people. Despite the clear progress received, there is limited evidence of BCI implementation for rehabilitation. This systematic review addresses BCI applic…
  pubmed Ping-Chen Tsai, Asangaedem Akpan, Kea‐Tiong Tang, Heba Lakany 等 2025 Jan 16 置信度 0.82 MedicineRehabilitationCognitionPhysical medicine and rehabilitationCognitive rehabilitation therapy
• An application-based taxonomy for brain–computer interfaces
  openalex Jacob T. Robinson, Sumner L. Norman, Matthew R. Angle, Timothy G. Constandinou 等 2024-12-23 置信度 0.72 Brain–computer interfaceHuman–computer interactionComputer scienceTaxonomy (biology)Neuroscience