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• Brain-Computer Interface for Taste Perception
  Consumer acceptance of food products hinges on sensory satisfaction, with taste being a primary determinant despite considerations of appearance, odor, and texture. However, relying solely on sensory panels may not accurately capture consumer taste perceptions…
  crossref Rakesh Balakumar, Anbarasan Rajan, Mahendran Radhakrishnan 2025-06-24T14:43:46Z 置信度 0.70
• Brain-Computer Interface in Social Science Research
  New avenues for studying human behaviour and cognitive processes are made possible by the integration of brain-computer interface (BCI) technology into social science studies. This study aims to investigate how real-time neural data transmission via brain-comp…
  crossref Rajbhupinder Kaur, K. Niranjana, Vinod N. Alone, Kuldeep Chouhan 等 2025-05-14T13:56:44Z 置信度 0.70
• Enhancing Recruitment Processes With Brain-Computer Interface Applications
  The integration of brain-computer interface (BCI) technology into recruitment processes offers a novel approach to assessing candidate suitability with greater precision and objectivity. By leveraging BCI applications, recruiters can gain insights into cogniti…
  crossref B. Dhanalakshmi, Nasiba Sherkuziyeva, Hameed Hassan Khalaf, Mohsen Aued Farhan 等 2025-05-14T13:56:44Z 置信度 0.70
• Transforming Marketing Analytics With Brain-Computer Interface Innovations
  This research study aims to explore how developments in brain-computer interface (BCI) can transform marketing analytics by offering direct insights into consumer behaviour and preferences. Brain-computer interfaces (BCIs) enable the collection of real-time ne…
  crossref G. Dinesh, C. Rajalakshmi, Arun K. K., Shantanu Ganguly 等 2025-05-14T13:56:44Z 置信度 0.70
• Neurotech frontiers: ethics, identity, and the evolution of brain–computer interfaces
  This chapter provides an overview of neurotechnology’s ethical intricacies and a deeper examination of brain–computer interfaces (BCIs), which may be extrapolated in many respects to hypothetical (for now) brain/cloud interfaces (B/CIs), emphasizing the need f…
  crossref Ingrid Vasiliu-Feltes 2025-11-18T16:02:27Z 置信度 0.70
• Domain Generalization for Session-Independent Brain-Computer Interface
  The inter/intra-subject variability of electroen- cephalography (EEG) makes the practical use of the brain-computer interface (BCI) difficult. In general, the BCI system requires a calibration procedure to acquire subject/session-specific data to tune the mode…
  crossref Dong-Kyun Han, Ji-Hoon Jeong 2021-05-17T18:58:03Z 置信度 0.70
• Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
  Brain-computer interface (BCI) uses brain signals to communicate with external devices without actual control. Particularly, BCI is one of the interfaces for controlling the robotic arm. In this study, we propose a knowledge distillationbased framework to mani…
  crossref Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon 2023-03-28T18:11:47Z 置信度 0.70
• Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface
  Visual imagery is an intuitive brain-computer interface paradigm, referring to the emergence of the visual scene. Despite its convenience, analysis of its intrinsic characteristics is limited. In this study, we demonstrate the effect of time interval and chann…
  crossref Seo-Hyun Lee, Minji Lee, Seong-Whan Lee 2020-04-10T04:23:57Z 置信度 0.70
• Brain-Computer Interface - Progress and Challenges
  Brain-Computer Interface (BCI) is a technology that allows a brain and an external device to exchange signals and talk to one another. Over the last decades, several groundbreaking research has been conducted in this field. This study covers several BCI applic…
  crossref Igor Koricanac 2022-09-28T18:55:45Z 置信度 0.70
• A Review Study on Brain Computer Interface
  Brain-Computer Interface (BCI) is an innovative communication pathway that connects the human brain directly with external devices, bypassing conventional neuromuscular channels.It enables users to interact with digital systems through the interpretation of ne…
  crossref Mr. Naveen Kumar Kedia, Diya Pathak, Dipesh Agarwal 2025-07-11T09:37:36Z 置信度 0.70
• Invasive Brain Signal Acquisition Techniques
  crossref Ujwal Chaudhary 2025-02-18T22:58:12Z 置信度 0.70
• Social Behavior Analysis With Brain-Computer Interface-Controlled Devices
  The purpose of this investigation is to investigate the possibility of controlled bias in the evaluation of social gestures using a brain-computer interface (BCI). The authors hope to achieve our goal of gaining perceptivity into the social relationships of mo…
  crossref N. Rameshkumar, Navruzbek Shavkatov, Ashraf Abed Hussein, Melanie Lourens 等 2025-05-14T13:56:44Z 置信度 0.70
• Intelligent manufacturing human-computer collaboration system based on brain-computer interface (BCI)
  In view of the high interaction delay and low efficiency of human-machine intention collaboration in unstructured scenarios in traditional human-machine collaborative systems in intelligent manufacturing, this study proposes an intelligent collaborative system…
  crossref Jinyu Ye 2025-12-31T15:37:51Z 置信度 0.70
• A Review on Brain-Computer Interface Using Deep Learning and Challenges
  Brain-Computer Interface (BCI) technology has garnered significant attention in recent years due to its potential applications in various domains. These include medical rehabilitation, assistive technologies and human machine interaction. The ability to interp…
  crossref Rajneesh Talwar, Manvinder Sharma, Danvir Mandal, Digvijay Pandey 等 2025-05-14T13:56:44Z 置信度 0.70
• Real-Time Planning and Decision Making With Brain-Computer Interface
  Integrating brain-computer interface (BCI) technology into real-time planning and decision-making processes offers a revolutionary way to improve cognitive control and reactivity. This research aims to examine the potential applications of brain-computer inter…
  crossref Amirthasaravanan Arivunambi, Sumathi M. S., Komal Saxena, Pallavi Shetty 等 2025-05-14T13:56:44Z 置信度 0.70
• Optimizing HR Processes Using Brain-Computer Interface Technology
  The goal of this chapter is to examine the potential for improving decision-making and overall efficiency by integrating (BCI) technology into human resources (HR) processes. Through direct communication between the human brain and external systems, brain-comp…
  crossref Amirthasaravanan Arivunambi, Shital S. Naikwade, Prithu Sarkar, Zainab Failhal Lami 等 2025-05-14T13:56:44Z 置信度 0.70
• Analysis of Brain-Computer Interface Applications Using Deep Learning Model
  Brain-computer interfaces, or BCIs, have advanced significantly over the past ten years thanks to ground-breaking discoveries in computer innovation and central nervous system bioinformatics, propelling them to the forefront of applied science and study. React…
  crossref A. Manikandan, Poornappriya T. S., M. Lalli, T. Malathi 等 2025-05-14T13:56:44Z 置信度 0.70
• Across-speaker articulatory reconstruction from sensorimotor cortex for generalizable brain-computer interfaces
  Abstract Objective Speech brain-computer interfaces (BCIs) can restore speech features like articulatory movements from brain activity. However, for individuals with vocal tract paralysis, lack of articulatory movements can pose a challenge for speech BCI deve…
  preprints Ruoling Wu, Julia Berezutskaya, Zachary V. Freudenburg, Nick F. Ramsey 2025 置信度 0.74
• Closed-Loop Mu-Rhythm Brain–Computer Interface for Neuroadaptive Control of the Chrome Dinosaur Game
  Background: Mu-rhythm BCIs provide a noninvasive entry to motor control via event-related desynchronization detection over the sensorimotor cortex during motor imagery. Standard training paradigms are immersive and result in slow learning. The current study co…
  crossref Mayumi Rivera, Abigail Tamang, Lhatso Dorjee 2025-04-24T14:57:13Z 置信度 0.70
• Brain-Computer Interface
  crossref 2024-01-10T17:03:06Z 置信度 0.70
• Analysis on the Ethical Problems of Brain-Computer Interface Technology in Educational Application
  With the fast development of modern science technology, Brain-Computer Interface (BCI) technology has begun to its applications in the education field, including the detection of learners’ attentions, the analysis of studying abilities, the rise in study inter…
  openalex Yuexuan Liu 2025-01-17 置信度 0.72 Computer scienceInterface (matter)Brain–computer interfaceHuman–computer interactionPsychology
• Brain‐computer interface in clinical application: How far is it from realization?
  Brain-computer interface (BCI) is rapidly transitioning from concept verification to practical implementation,1 and clinical trials on BCIs are currently underway across the globe.2 The wireless minimally invasive implantable BCI, termed the Neural Electronic …
  crossref Shugeng Chen, Lei Jiang, Jie Jia 2025-12-29T08:08:13Z 置信度 0.70
• Brain-Computer Interface (BCI)-Based Mental State Monitoring and Feedback
  Because mental health problems have become the focus of global attention, how to effectively monitor and improve the psychological state of individuals based on scientific and technological means has become an important research direction. Based on brain-compu…
  crossref Huizhen Chen, Yue Wang 2025-10-31T17:09:15Z 置信度 0.70
• Non-invasive Brain Signal Acquisition Techniques
  crossref Ujwal Chaudhary 2025-02-20T10:09:38Z 置信度 0.70
• Innovative Financial Services Enabled by Brain-Computer Interface Technology
  The financial services sector has the potential to improve banking experiences by incorporating brain-computer interface (BCI) technology, which could lead to more efficient, secure, and customised services. By facilitating direct communication between the hum…
  crossref S. Christina Sheela, Pawan Madanan, Rakhi Sharma, Jain Jacob M. 等 2025-05-14T13:56:44Z 置信度 0.70
• Electroencephalography-Based Emotion Recognition Using Auditory Stimulation for Affective Brain-Computer Interfaces.
  Although electroencephalography (EEG)-based emotion recognition is a promising approach for affective brain-computer interface (BCI) applications, substantial inter-subject variability continues to limit its generalizability. This study proposed an EEG-based f…
  pubmed Bouyam C, Siribunyaphat N, Aung ST, Punsawad Y 2026 置信度 0.82
• Real-world clinical characteristics of motor disorders for personalised brain-computer interfaces: phenotypic insights from a specialised clinic.
  Motor dysfunction caused by neurological disorders such as stroke, spinal cord injury and amyotrophic lateral sclerosis has become a major global public health issue. Conventional rehabilitation approaches yield limited efficacy, highlighting the urgent need f…
  pubmed Chai X, Zheng Z, Wang N, He Q 等 2026 置信度 0.82
• Linking Embodiment, Simulator Sickness, and EEG Activity During XR-BCI Use: A Single-Participant Case Study.
  Background: Subjective experience is increasingly recognised as an important component of brain-computer interface (BCI) performance in extended reality (XR) environments. Although embodiment and simulator sickness are known to influence user experience, their…
  pubmed Tomás DJ, Pais-Vieira M, Pais-Vieira C 2026 置信度 0.82
• Cognitive Sovereignty: An AI-Aware Governance Framework for Neural Data Threats, Autonomous Cyber Defense, and Identity-Aware Security in Neurotechnology Systems.
  Neural data collected using brain-computer interfaces, neural implants, and emotion detection systems is analyzed by AI classifiers and agentic architectures to serve purposes such as authentication, access control, and behavioral inference, however, there exi…
  pubmed Kritika M 2026 置信度 0.82
• Wireless Electroencephalography in Research on Children With Developmental Disabilities: Scoping Review.
  Wireless electroencephalography (EEG) systems offer practical advantages over conventional wired devices in the assessment of children with developmental disabilities (DDs), including enhanced portability, reduced participant burden, and ease of use. However, …
  pubmed Park N, Shin Y, Kang J, Lee YE 等 2026 置信度 0.82
• Post-stroke limb motor dysfunction and functional recovery: A bibliometric analysis of research trends and hotspots.
  Post-stroke motor dysfunction severely affects patients' quality of life and independence. Although post-stroke rehabilitation has been widely studied, no detailed analysis of emerging trends in limb motor dysfunction and functional recovery has been performed…
  pubmed Zhao D, Xie H, Zhang H, Han Q 等 2026 置信度 0.82
• Scientific and Technological Developments in Brain-Computer Interfaces: A Dual Bibliometric Analysis of Articles and Patents.
  Brain-computer interface (BCI) technology is undergoing rapid translation from laboratory research to clinical applications, heralding a fundamental restructuring of human-machine relationships with profound societal implications. Existing bibliometric analyse…
  pubmed Wang J, Yuan Y, Xu H, Luan G 2026 置信度 0.82
• Acyltransferase ZDHHC22 promotes N-Myc transcriptional activation to drive neuroblastoma progression and chemoresistance.
  MYCN-amplified neuroblastoma is one of the most lethal pediatric malignancies, where aberrant N-Myc-driven transcription promotes tumor progression. As direct targeting of N-Myc has proven challenging, current approaches prioritize understanding the mechanisms…
  pubmed Xu A, Zhang J, Wu B, Xu M 等 2026 置信度 0.82
• Stiffness-Switchable Conductive Nanocomposites with Temperature-Invariant Conductivity for Long-Term Brain-Computer Interfaces on Hair-Covered Scalp.
  pubmed Shi B, Li J, Shao B, Song C 等 2026 置信度 0.82
• XR-integrated brain-computer interfaces for augmentative and alternative communication: a systematic review.
  Communication is a fundamental human right and should not be constrained by disability; advances in modern technology are reshaping how communication is conceived and delivered, creating new possibilities for people who rely on augmentative and alternative com…
  pubmed Zhang P, Karlsson P, Chiu D, Zou R 等 2026 置信度 0.82
• Exploring individual biases in BCI research and users: Does gender matter?
  Brain-Computer Interface (BCI) is an interdisciplinary research field characterized by rapid technological advances and collaborative efforts to develop user-friendly, adaptive devices that enable healthy and non-responsive users to communicate and interact wi…
  pubmed Herbert C, Acuna VR, Kneipp RRK, Kapfer NI 2025 置信度 0.82
• Feasibility of a hybrid SSVEP-motor imagery BCI with robotic feedback for upper limb motor rehabilitation in stroke patients.
  Stroke remains a leading cause of long-term disability, necessitating innovative neurorehabilitation strategies to address persistent motor deficits. Traditional therapies often exhibit limited efficacy due to therapeutic plateau, highlighting the critical nee…
  pubmed Pan X, Zhang R, Xia X, Cui H 等 2026 置信度 0.82
• Conceptual priors drive development of predictive attention to emotion.
  Emotion inference is not purely reactive but is supported by conceptual priors that contribute to active sampling of meaningful cues as social events unfold, yet how children learn to anticipate when and where such cues will emerge remains unclear. This study …
  pubmed Huang S, Pollak SD, Xie W 2026 置信度 0.82
• Payers, Proof, and Public Trust: Lessons From Deep Brain Stimulation for Scaling Brain-Computer Interfaces.
  Over the past fifty years, deep brain stimulation (DBS) has become one of the most effective neurosurgical therapies for neurologic disorders. The path from the first reported implants in the 1970s to its current acceptance as a standard of care in multiple me…
  europepmc 2026 置信度 0.80
• Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review.
  pubmed Belfrouh S, Salmam FZ, Errattahi R, Hanine M 等 2026 置信度 0.82
• Full-Stack Architectures for Intelligent Brain-Computer Interfaces.
  Brain-computer interfaces (BCIs) have made consistent advances in supporting motor and communication functions; nevertheless, their adoption in everyday environments remains constrained by enduring challenges, including chronic instability at the electrode-tis…
  pubmed Lee HK, Kim HB, Park SU, Joo J 等 2026 置信度 0.82
• Navigation paradigms for non-invasive BCI-controlled wheelchairs: a systematic review.
  pubmed Ukaegbu UF, Houshmand S, Hammond L, Adams K 等 2026 置信度 0.82
• Effects of brain-computer interface-based rehabilitation on upper limb function, activities of daily living, and adverse events in patients with early stroke: a systematic review and meta-analysis.
  Brain-computer interface-based rehabilitation represents an emerging neurorehabilitation approach for post-stroke motor recovery, yet its comprehensive effects on patients in the early phase after stroke, typically defined as within 3 months of onset, remain t…
  pubmed Wei JX, Zhang YM, Liang SS, Li QF 等 2026 置信度 0.82
• A systematic review of the effects of brain-computer interface on lower limb motor function, balance function, and activities of daily living in stroke patients.
  Objective To systematically evaluate the effects of brain-computer interface (BCI) technology on lower limb motor function, balance function, and activities of daily living in stroke patients. Methods This study followed the PRISMA guidelines and searched PubM…
  pubmed Guo X, Li P, Liu H, Ding S 等 2025 置信度 0.82 Physical medicine and rehabilitationMedicineActivities of daily livingStroke (engine)Balance (ability)
• Global Trends in Research of Brain-Computer Interfaces in Neuroscience From 2014 to 2023: A Bibliometric Analysis.
  Aim Brain-computer interfaces (BCIs) represent a promising technology for addressing neurological disorders, with growing research interest globally. This study aimed to map global research trends in BCI neuroscience from 2014 to 2023 via bibliometric analysis…
  europepmc 2026 置信度 0.80
• Experiences and coping with financial toxicity among older cancer patients and caregivers: A qualitative study.
  BackgroundFinancial toxicity imposes a heavy burden on older cancer patients and their families. In Confucian societies, cultural norms fundamentally shape how financial burden is experienced, communicated, and managed-caregivers feel duty-bound to bear treatm…
  pubmed Lyu Y, Liu X, Cui H, Wang N 等 2026 置信度 0.82
• A Decade of Artificial Intelligence in Stroke Care (2015-2025): Trends, Clinical Translation, and the Precision Medicine Frontier-A Narrative Review.
  Background/Objectives: Stroke generates 157 million disability-adjusted life-years (DALYs) annually, making it the leading neurological cause of global disease burden. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative techno…
  pubmed Urfy M, Mir MT 2026 置信度 0.82
• From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.
  pubmed Zhang T, Shin N 2026 置信度 0.82
• A high-performance SSVEP-BCI system based on high-frequency flickers in the peripheral visual field.
  Background The existing steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) primarily use central visual field flickers with a stimulus frequency of 8-20 Hz, which is prone to exhibit strong flicker perception in users. Consider…
  europepmc 2026 置信度 0.80
• Individualized Connectivity-Guided Versus Conventional Targeting of Accelerated Theta-Burst Stimulation in Depression: A Randomized, Double-Blind, Parallel-Design Trial.
  Scalp-based repetitive transcranial magnetic stimulation targeting the left dorsolateral prefrontal cortex (DLPFC) does not account for interindividual variability. This trial was designed to determine whether individualized connectivity-guided intermittent th…
  pubmed Li M, Wu Z, Lu X, Zalesky A 等 2026 置信度 0.82
• A 40-nm 3.9mW, 200words/Min Neural Signal Processor in Speech Decoding for Brain-Machine Interface.
  Brain-machine interface (BMI) technology enables the human brain to communicate directly with machines. This work presents a neural signal processor for real-time BMI, supporting translation from user's speech attempt to sentences. By employing speech attempt …
  europepmc 2025 置信度 0.80
• On questions of predictability and control of an intelligent system using probabilistic state-transitions.
  One of the central aims of neuroscience is to reliably predict the behavioral response of an organism using its neural activity. If possible, this implies we can causally manipulate the neural response and design brain-computer-interface systems to alter behav…
  pubmed R Taranath J 2025 置信度 0.82
• Virtual reality training for gait disorders in Parkinson's disease: a bibliometric and visual analysis of hotspots and trends using CiteSpace and VOSviewer.
  Background This study systematically reviews the current status, hotspot distribution, and developmental trends of virtual reality (VR) training for improving gait disorders in Parkinson's disease (PD). Aim To map the global intellectual landscape and emerging…
  europepmc 2026 置信度 0.80
• Progress in the combined application of Brain-Computer Interface and non-invasive brain stimulation for post-stroke motor recovery.
  Stroke remains one of the leading causes of disability and death among adults globally. Both Brain-Computer Interface (BCI) and Non-invasive Brain Stimulation (NIBS) have shown significant potential in facilitating motor recovery in stroke patients. The combin…
  pubmed Ailipinai Yasen, Wanting Sun, Yan Gong, Guangxu Xu 等 2025 置信度 0.82
• AAPM Consensus Guidelines on Neuromodulation Technologies and Neurocomputer Interfaces for Pain Management and Functional Recovery.
  To provide an evidence-based framework for healthcare professionals to use neuromodulation technologies to restore neuromuscular function and relieve pain.
  pubmed Emerick T, Vorenkamp KE, Francio VT, Srinivasan S 等 2026 置信度 0.82
• Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings.
  High-density multielectrode arrays (HD-MEAs) generate large, complex datasets that are challenging to efficiently manage and analyze with existing tools, especially in open-source environments. To address this, we developed the BYU Seizure and Analytics Tool (…
  europepmc 2026 置信度 0.80
• Advances in mechanisms of neuroplasticity induced by multimodal closed-loop brain-computer interfaces after stroke.
  Post-stroke motor dysfunction is one of the leading causes of acquired disability worldwide. The induction and maintenance of neuroplasticity constitute the core mechanisms underlying motor function recovery. Conventional open-loop brain-computer interfaces (B…
  pubmed Chen Y, Jiang Y, Wang X, Zeng M 等 2026 置信度 0.82
• Endovascular neural interfaces: current platforms and clinical readiness.
  Neurointerventional techniques are facilitating a new class of neural interfaces that record and stimulate brain activity from within the cerebral vasculature. Conventional scalp electroencephalography (EEG) is safe and widely scalable but is limited by skull …
  pubmed Hosoo H, Araki K, Masuda Y, Ishida H 等 2026 置信度 0.82
• Hybrid BCI-based instruction set for dual robotic arm control using EEG and eye movement signals.
  pubmed Zhang L, Li B, Shi X, Peng C 2025 置信度 0.82
• Parallel supramammillary-hippocampal routes: Organization, dysregulation, and restoration.
  In this issue of Neuron, Luo et al. 1 report two supramammillary neuronal populations with segregated projections to the dorsal and ventral dentate gyrus that selectively modulate cognitive and emotional processes, respectively. Targeted activation of each pat…
  europepmc 2025 置信度 0.80
• Cross-domain correlation analysis to improve SSVEP signals recognition in brain-computer interfaces.
  The recognition of steady-state visual evoked potential (SSVEP) signals in brain-computer interface (BCI) systems is challenging due to the lack of training data and significant inter-subject variability. To address this, we propose a novel unsupervised transf…
  europepmc 2025 置信度 0.80
• Schizophrenia and bipolar disorder: a comparative analysis of genetic and brain network connectivity.
  Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric conditions with overlapping clinical presentations, genetic risk factors, and brain network dysfunction. Whether alterations in large-scale intrinsic brain networks reflect shared or disorder…
  pubmed Ren H, Liu Y, Huang Y, Tang Y 等 2026 置信度 0.82
• From challenges to solutions: Strengthening mental health support for university students and young researchers in China.
  pubmed Chen Y, Hu S 2026 置信度 0.82
• Automated EEG signal processing: A comprehensive investigation into preprocessing techniques and sub-band extraction for enhanced brain-computer interface applications.
  pubmed Balam VP 2025 置信度 0.82
• Dual-channel TRCA-net based on cross-subject positive transfer for SSVEP-BCI.
  pubmed Xiong H, Chang S, Liu J 2025 置信度 0.82
• Lightweight deep learning models for EEG decoding: a review.
  pubmed Li Y, Chen E, Xiao X, Xu M 等 2025 置信度 0.82
• Effects of Brain-Computer Interface-Controlled Hand Robot Training on Post-Stroke Recovery of Upper Limb Motor Functions: A Meta-Analysis of Dose-Matched Randomized Controlled Trials.
  Objective : To systematically evaluate the rehabilitation effect of brain-computer interface (BCI)-controlled hand robot training on post-stroke motor functions, especially upper limb functions. Methods : PubMed, Embase, Web of Science, Cochrane Library, CNKI,…
  pubmed Hu S, Wang F, Gao X, Zhi Y 等 2026 置信度 0.82
• Brain Entropy and Complexity as Biomarkers of Neuroplasticity in Neurorehabilitation-A Scoping Review.
  pubmed Shetty KS, Ravichandran H, Rafiq S, Achar S 2026 置信度 0.82
• Assessment of Safety of a Fully Implanted Endovascular Brain-Computer Interface for Severe Paralysis in 4 Patients
  Importance: Brain-computer interface (BCI) implants have previously required craniotomy to deliver penetrating or surface electrodes to the brain. Whether a minimally invasive endovascular technique to deliver recording electrodes through the jugular vein to s…
  openalex Peter Mitchell, Sarah C. M. Lee, Peter E. Yoo, Andrew Morokoff 等 2023-01-09 置信度 0.72 MedicinePhantom limbBrain–computer interfacePhysical medicine and rehabilitationSurgery
• Nanomaterials for Neural Interfaces
  Abstract This review focuses on the application of nanomaterials for neural interfacing. The junction between nanotechnology and neural tissues can be particularly worthy of scientific attention for several reasons: (i) Neural cells are electroactive, and the …
  openalex Nicholas A. Kotov, Jessica O. Winter, Isaac P. Clements, Edward Jan 等 2009-07-09 置信度 0.72 InterfacingNanotechnologyMaterials scienceNanomaterialsNeural Prosthesis
• Brain-inspired computing needs a master plan
  openalex Adnan Mehonić, Anthony J. Kenyon 2022-04-13 置信度 0.72 Plan (archaeology)Computer scienceProcess (computing)Data scienceFocus (optics)
• Comparative Overview of Brain Perfusion Imaging Techniques
  BACKGROUND AND PURPOSE: Numerous imaging techniques have been developed and applied to evaluate brain hemodynamics. Among these are positron emission tomography, single photon emission computed tomography, Xenon-enhanced computed tomography, dynamic perfusion …
  openalex Max Wintermark, Musa Sesay, Emmanuel Barbier, Katalin Borbély 等 2005-08-12 置信度 0.72 MedicineCerebral blood flowPerfusion scanningHemodynamicsPositron emission tomography
• Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review
  Humans interact with computers through various devices. Such interactions may not require any physical movement, thus aiding people with severe motor disabilities in communicating with external devices. The brain-computer interface (BCI) has turned into a fiel…
  openalex Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, Abderrahmane Lakas 2021-07-12 置信度 0.72 ElectroencephalographyBrain–computer interfaceAssistive technologyHuman–computer interactionPhysical medicine and rehabilitation
• A cross-disorder connectome landscape of brain dysconnectivity
  openalex Martijn P. van den Heuvel, Olaf Sporns 2019-05-24 置信度 0.72 ConnectomeNeuroscienceContext (archaeology)Modularity (biology)Human Connectome Project
• Human Brain/Cloud Interface
  The internet comprises a decentralized global system that serves humanity’s collective effort to generate, process, and store information. A significant portion of this data is currently processed and stored in the cloud, and the last few years have witnessed …
  openalex Nuno Martins, Amara Angelica, Krishnan Chakravarthy, Yuriy Svidinenko 等 2019-03-29 置信度 0.72 Cloud computingComputer scienceInterface (matter)NeurosciencePsychology
• Brain–Computer Interface-Based Adaptive Automation to Prevent Out-Of-The-Loop Phenomenon in Air Traffic Controllers Dealing With Highly Automated Systems
  Increasing the level of automation in air traffic management is seen as a measure to increase the performance of the service to satisfy the predicted future demand. This is expected to result in new roles for the human operator: he will mainly monitor highly a…
  openalex Gianluca Di Flumeri, Francesca De Crescenzio, Bruno Berberian, Oliver Ohneiser 等 2019-09-06 置信度 0.72 Situation awarenessAutomationAir traffic controlComputer scienceInterface (matter)
• A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis
  People with paralysis express unmet needs for peer support, leisure activities and sporting activities. Many within the general population rely on social media and massively multiplayer video games to address these needs. We developed a high-performance, finge…
  pubmed Matthew S. Willsey, Nishal P. Shah, Donald T. Avansino, Nick Hahn 等 2025 Jan 置信度 0.82 TetraplegiaInterface (matter)Brain–computer interfaceWheelchairComputer science
• Multi-scale convolutional transformer network for motor imagery brain-computer interface
  Brain-computer interface (BCI) systems allow users to communicate with external devices by translating neural signals into real-time commands. Convolutional neural networks (CNNs) have been effectively utilized for decoding motor imagery electroencephalography…
  openalex Wei Zhao, Baocan Zhang, Haifeng Zhou, Dezhi Wei 等 2025-04-15 置信度 0.72 Brain–computer interfaceComputer scienceConvolutional neural networkElectroencephalographyFeature extraction
• A Survey on Measuring Cognitive Workload in Human-Computer Interaction
  The ever-increasing number of computing devices around us results in more and more systems competing for our attention, making cognitive workload a crucial factor for the user experience of human-computer interfaces. Research in Human-Computer Interaction (HCI…
  openalex Thomas Kosch, Jakob Karolus, Johannes Zagermann, Harald Reiterer 等 2023-01-31 置信度 0.72 WorkloadComputer scienceContext (archaeology)Human–computer interactionCognition
• Brain–computer interfaces for neuropsychiatric disorders
  openalex Lucine L. Oganesian, Maryam M. Shanechi 2024-06-03 置信度 0.72 Brain–computer interfaceNeuroscienceComputer sciencePsychologyHuman–computer interaction
• Industry 5.0—A Human-Centric Solution
  Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing is experiencing a rapid transformation. Robots …
  openalex Saeid Nahavandi 2019-08-13 置信度 0.72 ProductivityIndustry 4.0ManufacturingPersonalizationMass customization
• State-of-the-art MEMS and microsystem tools for brain research
  Mapping brain activity has received growing worldwide interest because it is expected to improve disease treatment and allow for the development of important neuromorphic computational methods. MEMS and microsystems are expected to continue to offer new and ex…
  openalex John P. Seymour, Fan Wu, Kensall D. Wise, Euisik Yoon 2017-01-02 置信度 0.72 MicrosystemNeuromorphic engineeringMicroelectromechanical systemsField (mathematics)Computer science
• EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
  Brain-computer interfaces (BCIs) connect human thoughts to external devices, offering the potential to enhance life quality for individuals with motor impairments and general population. Noninvasive BCIs are accessible to a wide audience but currently face cha…
  openalex Yidan Ding, Chalisa Udompanyawit, Yisha Zhang, Bin He 2025-06-30 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyDecoding methodsMotor imagery
• The experience of agency in human-computer interactions: a review
  The sense of agency is the experience of controlling both one's body and the external environment. Although the sense of agency has been studied extensively, there is a paucity of studies in applied "real-life" situations. One applied domain that seems highly …
  openalex Hannah Limerick, David Coyle, James W. Moore 2014-08-21 置信度 0.72 Sense of agencyAgency (philosophy)FeelingHuman–computer interactionControl (management)
• Mitochondria in traumatic brain injury and mitochondrial‐targeted multipotential therapeutic strategies
  Traumatic brain injury (TBI) is a major health and socioeconomic problem throughout the world. It is a complicated pathological process that consists of primary insults and a secondary insult characterized by a set of biochemical cascades. The imbalance betwee…
  openalex Gang Cheng, Rong‐hua Kong, Leiming Zhang, Jianning Zhang 2012-09-25 置信度 0.72 ExcitotoxicityMitochondrionTraumatic brain injuryProgrammed cell deathApoptosis
• The BRAIN Initiative: developing technology to catalyse neuroscience discovery
  The evolution of the field of neuroscience has been propelled by the advent of novel technological capabilities, and the pace at which these capabilities are being developed has accelerated dramatically in the past decade. Capitalizing on this momentum, the Un…
  openalex Lyric A. Jorgenson, William T. Newsome, David J. Anderson, Cornelia I. Bargmann 等 2015-03-31 置信度 0.72 PaceNeuroinformaticsNeuroscienceBrain researchSet (abstract data type)
• The utility of multichannel local field potentials for brain–machine interfaces
  OBJECTIVE: Local field potentials (LFPs) that carry information about the subject's motor intention have the potential to serve as a complement or alternative to spike signals for brain-machine interfaces (BMIs). The goal of this study is to assess the utility…
  openalex Eun Jung Hwang, Richard A. Andersen 2013-06-07 置信度 0.72 Local field potentialComputer scienceNoise (video)Neural decodingArtificial intelligence
• Brain-Computer Interfaces for Stroke Motor Rehabilitation
  Brain-computer interface (BCI) technology holds promise for improving motor rehabilitation in stroke patients. This review explores the immediate and long-term effects of BCI training, shedding light on the potential benefits and challenges. Clinical studies h…
  pubmed Alessandro Tonin, Marianna Semprini, Paweł Kiper, Dante Mantini 等 2025 Jul 30 置信度 0.82 RehabilitationPhysical medicine and rehabilitationBrain–computer interfaceStroke (engine)Computer science
• Next Steps for Human-Computer Integration
  Human-Computer Integration (HInt) is an emerging paradigm in which computational and human systems are closely interwoven. Integrating computers with the human body is not new. however, we believe that with rapid technological advancements, increasing real-wor…
  openalex Florian Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju 等 2020-04-21 置信度 0.72 Computer scienceSet (abstract data type)Data scienceHuman–computer interactionProgramming language
• Shell microelectrode arrays (MEAs) for brain organoids
  Brain organoids are important models for mimicking some three-dimensional (3D) cytoarchitectural and functional aspects of the brain. Multielectrode arrays (MEAs) that enable recording and stimulation of activity from electrogenic cells offer notable potential…
  openalex Qi Huang, Bo‐Hao Tang, July Carolina Romero, Yuqian Yang 等 2022-08-17 置信度 0.72 OrganoidMicroelectrodeMultielectrode arrayNanotechnologyNeuroscience
• Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces
  Brain‒computer interfaces (BCIs) exhibit significant potential for various applications, including neurofeedback training, neurological injury management, and language, sensory and motor rehabilitation. Neural interfacing electrodes are positioned between exte…
  openalex Weihang Gao, Zineng Yan, Hong Zhou, Yiyang Xie 等 2025-07-10 置信度 0.72 BiocompatibilityBrain–computer interfaceNeuroscienceHuman–computer interactionBiocompatible material
• Neural electrodes for brain‐computer interface system: From rigid to soft
  Abstract Brain‐computer interface (BCI) is an advanced technology that establishes a direct connection between the brain and external devices, enabling high‐speed and real‐time information exchange. In BCI systems, electrodes are key interface devices responsi…
  openalex Dan Yang, Gongwei Tian, Jianhui Chen, Yan Liu 等 2025-01-12 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceElectrodeSIGNAL (programming language)
• A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface
  In an electroencephalogram- (EEG-) based brain-computer interface (BCI), a subject can directly communicate with an electronic device using his EEG signals in a safe and convenient way. However, the sensitivity to noise/artifact and the non-stationarity of EEG…
  openalex Xin Huang, Yilu Xu, Jing Hua, Wenlong Yi 等 2021-08-19 置信度 0.72 Brain–computer interfaceComputer scienceSession (web analytics)Classifier (UML)Electroencephalography
• Brain–Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap
  openalex Nicholas D. Schiff, Michael N. Diringer, Karin Diserens, Brian L. Edlow 等 2024-01-29 置信度 0.72 NeurologyPersistent vegetative stateMedicineConsciousnessNeuroscience
• Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
  Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and perform seamless transitions fro…
  openalex Jacky Cao, Kit Yung Lam, Lik‐Hang Lee, Xiaoli Liu 等 2022-08-25 置信度 0.72 Computer scienceAugmented realityHuman–computer interactionUser interfaceProgramming language
• Worldwide initiatives to advance brain research
  openalex Sten Grillner, Nancy Y. Ip, Christof Koch, Walter J. Koroshetz 等 2016-08-26 置信度 0.72 Brain researchNeurosciencePsychologyCognitive sciencePolitical science
• Long-term stability strategies of deep brain flexible neural interface
  Flexible deep brain neural interfaces, as an important research direction in the field of neural engineering, have broad application prospects in areas such as neural signal detection, treatment of neurological diseases, and intelligent control systems. Howeve…
  openalex Shiya Lv, Zhaojie Xu, Fan Mo, Yu Wang 等 2025-05-08 置信度 0.72 Term (time)Interface (matter)Computer scienceStability (learning theory)Brain–computer interface
• Silent Speech Interfaces for Speech Restoration: A Review
  This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-acoustic biosignals generated by the human body during speech production to enable communication whenever normal verbal communication is not possible or not desirable…
  openalex José A. González, Alejandro Gomez-Alanis, Juan M. Martín-Doñas, José L. Pérez-Córdoba 等 2020-01-01 置信度 0.72 Computer scienceVocal tractSpeech recognitionAugmentative and alternative communicationSpeech production
• Chronically Stable, High‐Resolution Micro‐Electrocorticographic Brain‐Computer Interfaces for Real‐Time Motor Decoding (Adv. Sci. 45/2025)
  µECoG BCI with Universal OS for Real-Time Motor Imagery Decoding In their Research Article (DOI: 10.1002/advs.202506663), Zhitao Zhou, Zehan Wu, Tiger H. Tao, and co-workers present a flexible high-density µECoG BCI and paired universal operating system, achie…
  openalex Erda Zhou, Xiner Wang, Jizhi Liang, Yang Liu 等 2025-12-01 置信度 0.72 Computer scienceDecoding methodsNeural decodingSpeech recognitionArtificial intelligence
• Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0
  Rapid and accurate industrial inspection to ensure the highest quality standards at a competitive price is one of the biggest challenges in the manufacturing industry. This paper shows an application of how a Deep Learning soft sensor application can be combin…
  openalex Javier Villalba-Díez, Daniel Schmidt, Roman Gevers, Joaquín Ordieres‐Meré 等 2019-09-15 置信度 0.72 AutomationProcess (computing)Artificial neural networkQuality (philosophy)Computer science