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• A Systematic Analysis of Wearable Devices as Brain-Computer Interface Based on Neuromodulation
  As the global health landscape deteriorates, the imperative of ensuring our well-being becomes increasingly apparent. The evolution of integrated circuit miniaturization technology has propelled the advancement of brain-computer interfaces to the forefront of …
  crossref Zilu Qin 2024-01-26T15:20:10Z 置信度 0.70
• Steady-State Somatosensory Evoked Potential-Based Brain-Computer Interface Using a Vibrotactile Stimulus by Mixing Vibration Frequencies
  In the case of paralysis with visual and auditory impairments, brain-computer interface (BCI) based on tactile stimulus paradigms are alternative methods for controlling external devices. This study demonstrates using a BCI system via steady-state tactile stim…
  crossref Manorot Borirakarawin, Nannaphat Siribunyaphat, Yunyong Punsawad 2025-02-26T18:46:19Z 置信度 0.70
• Exploring Diverse Augmentation Strategies for Imagined Speech Detection in Brain-Computer Interface using Machine Learning Models
  Imagined speech refers to the inner articulation of words without vocalization. Augmentation techniques in Electroencephalography (EEG)-imagined speech datasets are essential to compensate for limited data, enhance model generalization, and ensure robust perfo…
  crossref Anand Mohan, R.S Anand 2025-01-20T18:39:20Z 置信度 0.70
• Effectiveness of Cognitive Training on Coordination and Concentration Among Children with ADHD
  This study evaluates the effectiveness of cognitive training intervention on coordination and concentration in children with Attention Deficit Hyperactivity Disorder (ADHD). The intervention incorporated the Gross Motor Coordination Exercise Tool (GMCET), deve…
  crossref Faiza, Mahesh MM, Parimala Bhaskaran 2025-02-19T18:39:08Z 置信度 0.70
• Effect of Brain-Computer interface and Robot-Aided rehabilitation in stroke patients with the foot drop
  crossref 2026-03-27T10:21:22Z 置信度 0.70
• Enhanced U-Net with Transformer-Driven Encoder for Medical Image Segmentation
  The automatic segmentation of tumours or lesions from magnetic resonance imaging (MRI) pictures is a critical but difficult task in clinical settings, sometimes necessitating laborious and time-consuming techniques. Deep learning has made a significant advance…
  crossref Ramya Palaniappan, Suseendran Surendran, Saranya Balakrishnan 2025-02-19T18:39:08Z 置信度 0.70
• SSVEP-Based Brain-Computer Interface via Checkerboard Pattern with Flickering Circles
  In this study, a modified checkerboard pattern using flickering circles was proposed for a steady-state visual evoked potential (SSVEP)-based brain-computer interface system. We conducted experiments to observe the SSVEP response. Using the conventional SSVEP …
  crossref Benyapa Tanomjai, Sirawit Juthong, Panita Bunprom, Natjamee Tohkhwan 等 2025-02-26T18:46:19Z 置信度 0.70
• Cognitive Ergonomic Evaluation of Mental Fatigue for Different Exam Patterns Using EEG
  Two prevalent exam formats, multiple-choice questions (MCQ) and descriptive exams, are common in evaluating students' academic performance. Analyzing the mental fatigue experienced with these formats is essential for their mental well-being. This study aims to…
  crossref Nandhisha Graharajan, A Celestin Jerald 2025-02-19T18:39:08Z 置信度 0.70
• Decoding Human Prediction Errors for Human-Robot Value Alignment
  In human-robot interaction, obtaining value alignment is crucial for enhancing working efficiency. Typically, efforts are made to decode human goals from their actions. One critical issue is that action-goal mapping is not injective; e.g., one action can be as…
  crossref Xin Xu, Sang Wan Lee 2024-04-02T18:37:26Z 置信度 0.70
• A Wireless Neural Signal Recording System for Implantable Brain Computer Interface
  In this paper, a wireless neural signal recording system is proposed for the generation, amplification, digitization and wireless transmission of neural signals through head phantom. The system includes a neural signal generator, a neural signal recording modu…
  crossref Xu Wang, Yong Jian Jin, Feng Han Lin 2025-02-20T20:02:02Z 置信度 0.70
• Exploring the Feasibility of Event-Related Potentials in Visual Surveillance Applications
  This study investigates the feasibility of leveraging Event-Related Potentials (ERP) within the realm of military surveillance, utilizing non-invasive brain-computer interface (BCI) technologies. Focused on enhancing static image target recognition capabilitie…
  crossref Byoung-Hee Kwon, Dong-Kyun Han, Hyung-Ju Ahn 2024-04-02T18:37:26Z 置信度 0.70
• Motion Control Using Brain Computer Interface Utilizing GCNs-Net with BILstms
  This study focuses on harnessing EEG (electroencephalogram) brain signals for motion control through a Brain-Computer Interface (BCI). The research integrates advanced deep learning techniques, such as transfer learning with ResNet, for predicting and interpre…
  crossref S. Gokulnath, Anitha Ponraj, Bhargav Krishna, Shivaganesh 等 2024-04-22T17:34:19Z 置信度 0.70
• Data-Driven Approach for Medical Competency Assessment Using VR Patients
  The medical education in India urgently needs advanced training tools like virtual reality (VR) to improve Objective Structured Clinical Exams (OSCEs) and National Exit Test (NExT) assessments. The SimX Virtual Manikin Series offers a customizable solution, en…
  crossref Joel Peter Joseph, Saatwik Sreelal, Martijn Boosman 2025-02-19T18:39:08Z 置信度 0.70
• Person, or property? Brain-Computer Interface technology and the law
  Discussions of robotics and the law are often limited to ‘what technology harms humans’, rather than considering what it means when ‘humans harm technology’. This article looks to advancements of Brain-Computer Interface (BCI) technology to argue how this can …
  crossref Lachlan Robb, Scott Kiel-Chisholm 2024-02-13T08:07:35Z 置信度 0.70
• Brain-computer interface applications in the aging population with Alzheimer’s and Parkinson’s disease
  The rapidly aging population faces increasing prevalence of neurodegenerative conditions like Alzheimer's Disease (AD) and Parkinson's Disease (PD), which significantly impair cognitive and motor functions. There is an urgent need for increased research, aware…
  crossref Mengxi Xiong 2024-11-11T03:02:49Z 置信度 0.70
• Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
  Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a sequence of images to recognize content, has been used extensively across industries in recent years. However, in the healthcare industry, its applications are limited b…
  openalex Heidi Lindroth, Keivan Nalaie, Roshini Raghu, Ivan N. Ayala 等 2024-03-28 置信度 0.72 WorkloadHealth careComputer scienceDeliriumPatient safety
• Comparing Several P300-Based Visuo-Auditory Brain-Computer Interfaces for a Completely Locked-in ALS Patient: A Longitudinal Case Study
  In a completely locked-in state (CLIS), often resulting from traumatic brain injury or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS), patients lose voluntary muscle control, including eye movement, making communication impossible. Brain-c…
  openalex Rute Bettencourt, Miguel Castelo‐Branco, Edna Gonçalves, Urbano Nunes 等 2024-04-19 置信度 0.72 Brain–computer interfaceComputer scienceAudiologyLocked-in syndromePsychology
• Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
  Brain-computer interfaces (BCIs) have undergone significant advancements in recent years. The integration of deep learning techniques, specifically transformers, has shown promising development in research and application domains. Transformers, which were orig…
  openalex Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari 2023-01-01 置信度 0.72 Computer scienceInterpretabilityTransformerBrain–computer interfaceElectroencephalography
• Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface
  Abstract This work introduces a neuromorphic compression based neural sensing architecture with address-event representation inspired readout protocol for massively parallel, next-gen wireless implantable brain machine interface (iBMI). The architectural trade…
  openalex Vivek Mohan, Wee Peng Tay, Arindam Basu 2025-01-22 置信度 0.72 Brain–computer interfaceNeuromorphic engineeringComputer scienceInterface (matter)Compression (physics)
• A hybrid brain-muscle-machine interface for stroke rehabilitation: Usability and functionality validation in a 2-week intensive intervention
  Introduction: The primary constraint of non-invasive brain-machine interfaces (BMIs) in stroke rehabilitation lies in the poor spatial resolution of motor intention related neural activity capture. To address this limitation, hybrid brain-muscle-machine interf…
  openalex Andrea Sarasola-Sanz, Andreas M. Ray, Ainhoa Insausti-Delgado, Nerea Irastorza-Landa 等 2024-04-12 置信度 0.72 ExoskeletonPhysical medicine and rehabilitationRehabilitationUsabilityComputer science
• Translational Bioethics in China: Brain‐Computer Interface Research as a Case Study
  The research and development of emerging technologies has potential long-term and societal impacts that pose governance challenges. This essay summarizes the development of research ethics in China over the past few decades, as well as the measures taken by th…
  pubmed Haidan Chen, Chen H 2024 Sep-Oct 置信度 0.82 BioethicsChinaInterface (matter)Brain–computer interfaceBrain research
• A high-performance neuroprosthesis for speech decoding and avatar control
  openalex Sean L. Metzger, Kaylo T. Littlejohn, Alexander B. Silva, David A. Moses 等 2023-08-23 置信度 0.72 NeuroprostheticsAvatarDecoding methodsComputer scienceControl (management)
• Real Time Signal Decoding in Closed Loop Brain Computer Interface for Cognitive Modulation
  This research presents a novel closed-loop Brain-Computer Interface (BCI) system designed to enhance cognitive performance through targeted neurofeedback. The study addresses the critical challenge of decoding and modulating higher-order cognitive states such …
  openalex Naimat Ullah Khan, Hafiz Muhammad Raza Ur Rehman 2025-01-05 置信度 0.72 Decoding methodsBrain–computer interfaceSIGNAL (programming language)Interface (matter)Computer science
• Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement
  Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challen…
  openalex Yiming Liu, Shengxin Jia, Chun Ki Yiu, Woo‐Young Park 等 2024-05-25 置信度 0.72 Olfactory systemComputer scienceWearable computerOlfactionLatency (audio)
• Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain
  Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators…
  openalex Jennifer M.J. Waymont, María Valdés Hernández, José Bernal, Roberto Duarte Coello 等 2024-06-22 置信度 0.72 HyperintensityFluid-attenuated inversion recoveryMagnetic resonance imagingDiseaseMedicine
• Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
  This study addresses the challenge of user-specific bias in Brain-Computer Interfaces (BCIs) by proposing a novel methodology. The primary objective is to employ a hybrid deep learning model, combining 2D Convolutional Neural Network (CNN) and Long Short-Term …
  openalex Nabil I. Ajali-Hernández, Carlos M. Travieso, Nayara Bermudo-Mora, Patricia Reino-Cacho 等 2024-04-22 置信度 0.72 Computer scienceBrain–computer interfaceArtificial intelligenceConvolutional neural networkMachine learning
• Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
  Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and conventional machine learning encounter hurdles in…
  openalex A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T R Mahesh 等 2024-04-30 置信度 0.72 Computer scienceArtificial intelligencePreprocessorBrain tumorMedical imaging
• Domain knowledge-assisted multi-objective evolutionary algorithm for channel selection in brain-computer interface systems
  Background: For non-invasive brain-computer interface systems (BCIs) with multiple electroencephalogram (EEG) channels, the key factor limiting their convenient application in the real world is how to perform reasonable channel selection while ensuring task ac…
  openalex Tianyu Liu, An Ye 2023-09-07 置信度 0.72 Computer scienceDomain knowledgeBrain–computer interfacePopulationWilcoxon signed-rank test
• Life at the borderlands: microbiomes of interfaces critical to One Health
  Microbiomes are foundational components of the environment that provide essential services relating to food security, carbon sequestration, human health, and the overall well-being of ecosystems. Microbiota exert their effects primarily through complex interac…
  openalex Simon R. Law, Falko Mathes, Amy M. Paten, Pâmela A. Alexandre 等 2024-02-28 置信度 0.72 MicrobiomeBiologyEvolutionary biologyComputational biologyBioinformatics
• Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks
  Introduction: The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate …
  openalex Jesse Mark, Adrian Curtin, Amanda Kraft, Matthias Ziegler 等 2024-03-12 置信度 0.72 WorkloadModalitiesCognitionSituation awarenessBrain activity and meditation
• Deep Active Learning for Computer Vision Tasks: Methodologies, Applications, and Challenges
  Active learning is a label-efficient machine learning method that actively selects the most valuable unlabeled samples to annotate. Active learning focuses on achieving the best possible performance while using as few, high-quality sample annotations as possib…
  openalex Mingfei Wu, Chen Li, Zehuan Yao 2022-08-12 置信度 0.72 Active learning (machine learning)Deep learningArtificial intelligenceComputer scienceActive vision
• Challenges and Opportunities of Gamified BCI and BMI on Disabled People Learning: A Systematic Review
  This systematic review explores the potential of the gamified brain–machine interfaces (BMIs) and brain–computer interfaces (BCIs) to enhance the quality of life for individuals with disabilities. These technologies promise to solve complex problems by deliver…
  openalex Bilal Ahmed, Sumbal Khan, Hyunmi Lim, Jeonghun Ku 2025-01-25 置信度 0.72 Brain–computer interfacePsychologyComputer scienceHuman–computer interactionApplied psychology
• Texting with Humanlike Conversational Agents: Designing for Anthropomorphism
  Conversational agents (CAs) are natural language user interfaces that emulate human-to-human communication. Because of this emulation, research on CAs is inseparably linked to questions about anthropomorphism—the attribution of human qualities, including consc…
  openalex Anna-Maria Seeger, Jella Pfeiffer, Armin Heinzl 2021-01-01 置信度 0.72 PsychologyCounterintuitiveAttributionPerceptionDisposition
• A Human Brain-Chip for Modeling Brain Pathologies and Screening Blood–Brain Barrier Crossing Therapeutic Strategies
  Background/Objectives: The limited translatability of preclinical experimental findings to patients remains an obstacle for successful treatment of brain diseases. Relevant models to elucidate mechanisms behind brain pathogenesis, including cell-specific contr…
  openalex Shek Man Chim, Kristen E. Howell, Alexandros G. Kokkosis, Brian Zambrowicz 等 2024-10-10 置信度 0.72 Blood–brain barrierMedicineNeurosciencePsychologyCentral nervous system
• Automating Stimulation Frequency Selection for SSVEP-Based Brain-Computer Interfaces
  Brain–computer interfaces (BCIs) based on steady-state visually evoked potentials (SSVEPs) are inexpensive and do not require user training. However, the highly personalized reaction to visual stimulation is an obstacle to the wider application of this techniq…
  openalex Alexey V. Kozin, A. Gerasimov, Maxim Bakaev, Anton Pashkov 等 2023-10-29 置信度 0.72 PhotostimulationBrain–computer interfaceComputer scienceElectroencephalographySet (abstract data type)
• Affective Computing: Recent Advances, Challenges, and Future Trends
  Affective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines. Although the literature in this field has progressively grown and matured, the lack of a c…
  openalex Guanxiong Pei, Haiying Li, Yandi Lu, Yanlei Wang 等 2023-12-18 置信度 0.72 BlueprintTransformative learningField (mathematics)Affective computingData science
• The Effect of Jittered Stimulus Onset Interval on Electrophysiological Markers of Attention in a Brain–Computer Interface Rapid Serial Visual Presentation Paradigm
  Brain responses to discrete stimuli are modulated when multiple stimuli are presented in sequence. These alterations are especially pronounced when the time course of an evoked response overlaps with responses to subsequent stimuli, such as in a rapid serial v…
  pubmed Daniel Klee, Tab Memmott, Barry Oken, Klee D 等 2024 Mar 置信度 0.82 Rapid serial visual presentationBrain–computer interfaceElectrophysiologyStimulus (psychology)Electroencephalography
• DescTools: Tools for Descriptive Statistics
  A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consi…
  openalex Andri Signorell 2014-01-07 置信度 0.72 Descriptive statisticsStatisticsComputer scienceData scienceMathematics
• EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
  In electroacoustic music composition, particularly in sound synthesis techniques, Deep Learning (DL) provides very effective solutions. However, these architectures generally have a high level of automation and use textual language for human interaction. To im…
  openalex Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi 等 2024-06-27 置信度 0.72 MIDIHeadsetComputer scienceInterface (matter)Speech recognition
• Influence of Large-Scale Brain State Dynamics on the Evoked Response to Brain Stimulation
  Understanding how spontaneous brain activity influences the response to neurostimulation is crucial for the development of neurotherapeutics and brain-computer interfaces. Localized brain activity is suggested to influence the response to neurostimulation, but…
  openalex Amin Kabir Anaraki, Prabhjot Dhami, Marie-Anne Dussault Gomez, Daniel M. Blumberger 等 2024-08-20 置信度 0.72 NeurostimulationNeuroscienceBrain activity and meditationTranscranial magnetic stimulationElectroencephalography
• Multi-Scale Feature Extraction to Improve P300 Detection in Brain–Computer Interfaces
  P300 detection is a difficult task in brain–computer interface (BCI) systems due to the low signal-to-noise ratio (SNR). In BCI systems, P300 waves are generated in electroencephalogram (EEG) signals using various oddball paradigms. Convolutional neural networ…
  openalex Muhammad Usman, Chun‐Ling Lin, Yao-Tien Chen 2025-01-23 置信度 0.72 Brain–computer interfaceComputer scienceScale (ratio)Feature extractionFeature (linguistics)
• Purification of brain peroxisomes and localization of 3‐hydroxy‐3‐methylglutaryl coenzyme A reductase
  At least three different subcellular compartments, including peroxisomes, are involved in cholesterol biosynthesis. Because proper CNS development depends on de novo cholesterol biosynthesis, peroxisomes must play a critical functional role in this process. Su…
  openalex Werner J. Kovacs, Phyllis L. Faust, Gilbert-André Keller, Skaidrite K. Krisans 2001-09-01 置信度 0.72 PeroxisomeCell fractionationBiochemistryBiologyOrganelle
• Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface
  Abstract Objective. Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a glob…
  openalex Xuan Ma, Fabio Rizzoglio, Kevin Bodkin, Lee E. Miller 2025-01-17 置信度 0.72 Decoding methodsBrain–computer interfaceComputer scienceInterface (matter)Task (project management)
• Responsive deep brain stimulation for the treatment of Tourette syndrome
  To report the results of 'responsive' deep brain stimulation (DBS) for Tourette syndrome (TS) in a National Institutes of Health funded experimental cohort. The use of 'brain derived physiology' as a method to trigger DBS devices to deliver trains of electrica…
  openalex Michael S. Okun, Jackson Cagle, Julieth Gomez, Dawn Bowers 等 2024-03-18 置信度 0.72 Deep brain stimulationTourette syndromeStimulationMedicineTics
• Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities
  In recent years, a number of new products introduced to the global market combine intelligent robotics, artificial intelligence and smart interfaces to provide powerful tools to support professional decision making. However, while brain disease diagnosis from …
  openalex Martin Cenek, Masa Hu, Gerald E. York, Spencer Dahl 2018-11-02 置信度 0.72 Medical diagnosisComputer scienceArtificial intelligenceImage processingMedical imaging
• Investigation of Brain Activity While Listening to Music by Using Brain Control Interface (BCI)
  There are five main types of brain waves: alpha, beta, delta, gamma, and theta, which are associated with different states of the mind1. Previous research has shown that music alters the ratio of brain waves in the brain and has significant effects on the brai…
  openalex Anahit Hovhannisyan, Hovannes Kulhandjian, Daniel Savala, Sukhraj Gill 等 2024-05-01 置信度 0.72 Brain–computer interfaceActive listeningInterface (matter)PsychologyNeuroscience
• Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study
  In the field of neuroscience, brain-computer interfaces (BCIs) are used to connect the human brain with external devices, providing insights into the neural mechanisms underlying cognitive processes, including aesthetic perception. Non-invasive BCIs, such as E…
  openalex Livio Clemente, Marianna La Rocca, Giulia Paparella, Marianna Delussi 等 2024-04-06 置信度 0.72 CognitionPerceptionPsychologyElectroencephalographyBrain–computer interface
• Hybrid brain-computer interface using error-related potential and reinforcement learning
  Brain-computer interfaces (BCIs) offer alternative communication methods for individuals with motor disabilities, aiming to improve their quality of life through external device control. However, non-invasive BCIs using electroencephalography (EEG) often suffe…
  openalex Aline Xavier Fidêncio, Felix Grün, Christian Klaes, Ioannis Iossifidis 2025-06-04 置信度 0.72 Brain–computer interfaceReinforcement learningComputer scienceMotor imageryAdaptability
• Electric field driven memristive behavior at the Schottky interface of Nb-doped SrTiO3
  Computing inspired by the human brain requires a massive parallel architecture of low-power consuming elements of which the internal state can be changed. SrTiO3 is a complex oxide that offers rich electronic properties; here, Schottky contacts on Nb-doped SrT…
  openalex A. S. Goossens, A. Das, T. Banerjee 2018-09-25 置信度 0.72 Neuromorphic engineeringSchottky diodeMaterials scienceElectric fieldOptoelectronics
• NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
  NeuroNet is a deep convolutional neural network mimicking multiple popular and state-of-the-art brain segmentation tools including FSL, SPM, and MALPEM. The network is trained on 5,000 T1-weighted brain MRI scans from the UK Biobank Imaging Study that have bee…
  openalex Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews 等 2018-06-11 置信度 0.72 Robustness (evolution)Convolutional neural networkComputer scienceNeuroimagingSegmentation
• A brain-to-text framework for decoding natural tonal sentences
  Speech brain-computer interfaces (BCIs) directly translate brain activity into speech sound and text. Despite successful applications in non-tonal languages, the distinct syllabic structures and pivotal lexical information conveyed through tonal nuances presen…
  pubmed Daohan Zhang, Zhenjie Wang, Youkun Qian, Zehao Zhao 等 2024 Nov 26 置信度 0.82 Decoding methodsNatural (archaeology)Computer scienceNatural language processingSpeech recognition
• Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review
  A wide range of obstacles faced by people with disabilities, such as visual impairment, motor disability, and communication difficulties, have shown significant promise for being addressed by computer vision. The state-of-the-art in computer vision-based assis…
  openalex Sushil Kumar Sahoo, Bibhuti Bhusan Choudhury 2023-09-17 置信度 0.72 Assistive technologyHuman–computer interactionComputer scienceStandardizationMultimedia
• Closed-Loop Deep Brain Stimulation for Psychiatric Disorders
  ABSTRACT: Deep brain stimulation (DBS) is a well-established approach to treating medication-refractory neurological disorders and holds promise for treating psychiatric disorders. Despite strong open-label results in extremely refractory patients, DBS has str…
  openalex Alik S. Widge 2023-05-01 置信度 0.72 Deep brain stimulationBrain stimulationMovement disordersToolboxStimulation
• A Spatial-Spectral and Temporal Dual Prototype Network for Motor Imagery Brain-Computer Interface
  Motor imagery electroencephalogram (MI-EEG) decoding plays a crucial role in developing motor imagery brain-computer interfaces (MI-BCIs). However, decoding intentions from MI remains challenging due to the inherent complexity of EEG signals relative to the sm…
  openalex Can Han, Chen Liu, Wang, Yaqi, Crystal Cai 等 2024-07-03 置信度 0.72 Decoding methodsDual (grammatical number)Motor imageryElectroencephalographyComputer science
• Deep-brain optical recording of neural dynamics during behavior
  openalex Zhe Zhou, Adam Gordon-Fennell, Sean C. Piantadosi, Na Ji 等 2023-10-06 置信度 0.72 NeuroscienceComputer scienceNerve netNeuroimagingSensory system
• Magnetic resonance image-based brain tumour segmentation methods: A systematic review
  Background: Image segmentation is an essential step in the analysis and subsequent characterisation of brain tumours through magnetic resonance imaging. In the literature, segmentation methods are empowered by open-access magnetic resonance imaging datasets, s…
  openalex Jayendra M. Bhalodiya, Sarah N. Lim Choi Keung, Theodoros N. Arvanitis 2022-01-01 置信度 0.72 Magnetic resonance imagingSegmentationArtificial intelligenceImage segmentationComputer science
• Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging
  This review presents the current state of the art regarding multiparametric magnetic resonance (MR) imaging of prostate cancer. Technical requirements and clinical indications for the use of multiparametric MR imaging in detection, localization, characterizati…
  openalex Caroline Hoeks, Jelle O. Barentsz, Thomas Hambrock, Derya Yakar 等 2011-09-19 置信度 0.72 MedicineMultiparametric MRIProstate cancerProstateMagnetic resonance imaging
• Enhancing Motor Imagery Classification in Brain–Computer Interfaces Using Deep Learning and Continuous Wavelet Transform
  In brain–computer interface (BCI) systems, motor imagery (MI) electroencephalogram (EEG) is widely used to interpret the human brain. However, MI classification is challenging due to weak signals and a lack of high-quality data. While deep learning (DL) method…
  openalex Yu Xie, Stefan Oniga 2024-10-01 置信度 0.72 Brain–computer interfaceMotor imageryArtificial intelligenceContinuous wavelet transformComputer science
• In-Car Environment Control Using an SSVEP-Based Brain-Computer Interface with Visual Stimuli Presented on Head-Up Display: Performance Comparison with a Button-Press Interface
  Controlling the in-car environment, including temperature and ventilation, is necessary for a comfortable driving experience. However, it often distracts the driver's attention, potentially causing critical car accidents. In the present study, we implemented a…
  openalex Seonghun Park, Minsu Kim, Hyerin Nam, Jinuk Kwon 等 2024-01-15 置信度 0.72 Brain–computer interfaceInterface (matter)Head (geology)Computer scienceHead-up display
• A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids
  Brain organoids represent a useful tool for modeling of neurodevelopmental disorders and can recapitulate brain volume alterations such as microcephaly. To monitor organoid growth, brightfield microscopy images are frequently used and evaluated manually which …
  openalex Julian Schröter, Luca Deininger, Blaz Lupse, Petra Richter 等 2024-05-20 置信度 0.72 OrganoidTentacle (botany)FlatwormBiologyNeuroscience
• Brain-inspired computing with self-assembled networks of nano-objects
  Abstract Major efforts to reproduce functionalities and energy efficiency of the brain have been focused on the development of artificial neuromorphic systems based on crossbar arrays of memristive devices fabricated by top-down lithographic technologies. Alth…
  openalex Alexander Vahl, Gianluca Milano, Zdenka Kuncic, S. A. Brown 等 2024-09-13 置信度 0.72 Nano-Computer scienceArtificial intelligenceNanotechnologyEngineering
• Review of Multimodal Data Acquisition Approaches for Brain-Computer Interfaces
  There have been multiple technological advancements that promise to gradually enable devices to measure and record signals with high resolution and accuracy in the domain of Brain Computer Interfaces (BCI). Multi-modal BCIs have been able to gain significant t…
  openalex Sayantan Ghosh, Domokos Máthé, Harishita Purushothaman Bhuvana, Pramod Sankarapillai 等 2024-09-13 置信度 0.72 Computer scienceHuman–computer interactionBrain–computer interfaceData acquisitionNeuroscience
• Self-powered wearable Internet of Things sensors for human-machine interfaces: A systematic literature review and science mapping analysis
  With the advent of Internet of Things (IoT), self-powered wearable sensors have seen broad applications across various human-machine interface (HMI) domains, including manufacturing, healthcare, biomedicine, and automobile. However, these sensors have not yet …
  openalex Qihan Jiang, Maxwell Fordjour Antwi‐Afari, Sina Fadaie, Hao‐Yang Mi 等 2024-09-12 置信度 0.72 Wearable computerMaterials scienceInternet of ThingsWearable technologyHuman–computer interaction
• A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
  The field of brain computer interface (BCI) is one of the most exciting areas in the field of scientific research, as it can overlap with all fields that need intelligent control, especially the field of the medical industry. In order to deal with the brain an…
  openalex M.A. Mousa, Abdelrahman T. Elgohr, Hatem Khater 2024-01-01 置信度 0.72 Computer scienceBrain–computer interfaceConvolutional neural networkSupport vector machineArtificial intelligence
• Recent Review on Biological Barriers and Host–Material Interfaces in Precision Drug Delivery: Advancement in Biomaterial Engineering for Better Treatment Therapies
  Preclinical and clinical studies have demonstrated that precision therapy has a broad variety of treatment applications, making it an interesting research topic with exciting potential in numerous sectors. However, major obstacles, such as inefficient and unsa…
  openalex Rohitas Deshmukh, Pranshul Sethi, Bhupendra Singh, Jailani Shiekmydeen 等 2024-08-16 置信度 0.72 BiomaterialDrug deliveryBiocompatible materialNanotechnologyBiomedical engineering
• ProTox 3.0: a webserver for the prediction of toxicity of chemicals
  Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral part of our everyday life. However, depending on the amount and duration, such interactions can also result in adverse effects. With the increase in computatio…
  openalex Priyanka Banerjee, Emanuel Kemmler, Mathias Dunkel, Robert Preißner 2024-04-09 置信度 0.72 ToxicityIn silicoBiologyWeb serverComputational biology
• Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding Into Text
  The conversion of brain activity into text using electroencephalography (EEG) has gained significant traction in recent years. Many researchers are working to develop new models to decode EEG signals into text form. Although this area has shown promising devel…
  openalex Saydul Akbar Murad, Nick Rahimi 2024-09-17 置信度 0.72 ElectroencephalographyComputer scienceBrain–computer interfaceProcess (computing)Face (sociological concept)
• Machine learning of brain-specific biomarkers from EEG
  BACKGROUND: Electroencephalography (EEG) has a long history as a clinical tool to study brain function, and its potential to derive biomarkers for various applications is far from exhausted. Machine learning (ML) can guide future innovation by harnessing the w…
  openalex Philipp Bomatter, Joseph Paillard, Pilar Garcés, Jörg Hipp 等 2024-08-01 置信度 0.72 ElectroencephalographyNeuroscienceMedicineComputer scienceArtificial intelligence
• Enabling electric field model of microscopically realistic brain
  BACKGROUND: Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities. OBJECTIVE: We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual c…
  openalex Zhen Qi, Gregory M. Noetscher, Alton Miles, Konstantin Weise 等 2024-12-20 置信度 0.72 ModalitiesNeuroscienceStimulationBrain stimulationDeep brain stimulation
• Challenges in studying the liquid-to-solid phase transitions of proteins using computer simulations
  openalex Beata Szała-Mendyk, Tien M. Phan, Priyesh Mohanty, Jeetain Mittal 2023-05-31 置信度 0.72 Intrinsically disordered proteinsNanotechnologyPhase transitionPhase (matter)Chemistry
• Mapping of the central sulcus using non-invasive ultra-high-density brain recordings
  Brain mapping is vital in understanding the brain's functional organization. Electroencephalography (EEG) is one of the most widely used brain mapping approaches, primarily because it is non-invasive, inexpensive, straightforward, and effective. Increasing the…
  openalex Leonhard Schreiner, Michael I. Jordan, Sebastian Sieghartsleitner, Christoph Kapeller 等 2024-03-19 置信度 0.72 Central sulcusElectroencephalographyEEG-fMRISomatosensory systemBrain–computer interface
• Brain Tumor Segmentation of MRI Images Using Processed Image Driven U-Net Architecture
  Brain tumor segmentation seeks to separate healthy tissue from tumorous regions. This is an essential step in diagnosis and treatment planning to maximize the likelihood of successful treatment. Magnetic resonance imaging (MRI) provides detailed information ab…
  openalex Anuja Arora, Ambikesh Jayal, Mayank Gupta, Prakhar Mittal 等 2021-10-28 置信度 0.72 SegmentationArtificial intelligenceComputer scienceDeep learningFluid-attenuated inversion recovery
• Physical exercise for brain plasticity promotion an overview of the underlying oscillatory mechanism
  The global recognition of the importance of physical exercise (PE) for human health has resulted in increased research on its effects on cortical activity. Neural oscillations, which are prominent features of brain activity, serve as crucial indicators for stu…
  openalex Xueyang Li, Xuehong Qu, Kaixuan Shi, Yichen Yang 等 2024-08-08 置信度 0.72 Mechanism (biology)NeuroscienceNeuroplasticityCognitionAerobic exercise
• Auricular bioelectronic devices for health, medicine, and human-computer interfaces
  Recent advances in manufacturing of flexible and conformable microelectronics have opened opportunities for health monitoring and disease treatment. Other material engineering advances, such as the development of conductive, skin-like hydrogels, liquid metals,…
  openalex William J. Tyler 2025-02-06 置信度 0.72 Computer scienceHuman–computer interactionData scienceMedicine
• 2024 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations: Summary From the Basic Life Support; Advanced Life Support; Pediatric Life Support; Neonatal Life Support; Education, Implementation, and Teams; and First Aid Task Forces
  This is the eighth annual summary of the International Liaison Committee on Resuscitation International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations; a more comprehensive review was done in…
  openalex Robert Greif, Janet Bray, Therese Djärv, Ian R. Drennan 等 2024-11-14 置信度 0.72 MedicineCardiopulmonary resuscitationBasic life supportResuscitationTask force
• Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
  BACKGROUND: The blood-brain barrier serves as a critical interface between the bloodstream and brain tissue, mainly composed of pericytes, neurons, endothelial cells, and tightly connected basal membranes. It plays a pivotal role in safeguarding brain from har…
  openalex Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, Peiling Cai 等 2024-04-19 置信度 0.72 Blood–brain barrierBiologyCentral nervous systemNeuroscienceComputational biology
• Characterization of Event Related Desynchronization in Chronic Stroke Using Motor Imagery Based Brain Computer Interface for Upper Limb Rehabilitation
  OBJECTIVE: Motor imagery-based brain-computer interface (MI-BCI) is a promising novel mode of stroke rehabilitation. The current study aims to investigate the feasibility of MI-BCI in upper limb rehabilitation of chronic stroke survivors and also to study the …
  openalex Sagila K. Gangadharan, Subasree Ramakrishnan, Andrew Paek, Akshay Sujatha Ravindran 等 2024-06-05 置信度 0.72 Brain–computer interfaceRehabilitationMotor imageryPhysical medicine and rehabilitationStroke (engine)
• Non-Invasive Brain Sensing Technologies for Modulation of Neurological Disorders
  The non-invasive brain sensing modulation technology field is experiencing rapid development, with new techniques constantly emerging. This study delves into the field of non-invasive brain neuromodulation, a safer and potentially effective approach for treati…
  openalex Salman Alfihed, Majed A. Majrashi, Muhammad Ansary, Naif Alshamrani 等 2024-07-09 置信度 0.72 NeuromodulationTranscranial direct-current stimulationDeep brain stimulationBrain stimulationNeuroscience
• A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
  Currently, the most used method to measure brain activity under a non-invasive procedure is the electroencephalogram (EEG). This is because of its high temporal resolution, ease of use, and safety. These signals can be used under a Brain Computer Interface (BC…
  openalex Diego Lopez-Bernal, David Balderas, Pedro Ponce, Arturo Molina 2022-04-26 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceDecoding methodsSpeech recognition
• Harnessing the sensing and stimulation function of deep brain-machine interfaces: a new dawn for overcoming substance use disorders
  Substance use disorders (SUDs) imposes profound physical, psychological, and socioeconomic burdens on individuals, families, communities, and society as a whole, but the available treatment options remain limited. Deep brain-machine interfaces (DBMIs) provide …
  pubmed Danyang Chen, Zhixian Zhao, Jian Shi, Shengjie Li 等 2024 Oct 17 置信度 0.82 Deep brain stimulationBrain functionSubstance useBrain stimulationNeuroscience
• A 128‐channel receive array for cortical brain imaging at 7 T
  PURPOSE: A 128-channel receive-only array for brain imaging at 7 T was simulated, designed, constructed, and tested within a high-performance head gradient designed for high-resolution functional imaging. METHODS: The coil used a tight-fitting helmet geometry …
  openalex Bernhard Gruber, Jason Stockmann, Azma Mareyam, Boris Keil 等 2023-08-15 置信度 0.72 Signal-to-noise ratio (imaging)Channel (broadcasting)PreamplifierPhysicsSensitivity (control systems)
• Being in Virtual Reality and Its Influence on Brain Health—An Overview of Benefits, Limitations and Prospects
  BACKGROUND: Dynamic technological development and its enormous impact on modern societies are posing new challenges for 21st-century neuroscience. A special place is occupied by technologies based on virtual reality (VR). VR tools have already played a signifi…
  openalex Beata Sokołowska 2024-01-10 置信度 0.72 StandardizationScopusVirtual realityWeb of scienceData science
• Home Automation for Disabled Using Brain Computer Interface and Raspberry Pi
  Electroencephalography (EEG)-based smart home control systems are a key application of Brain-Computer Interfaces (BCIs). BCIs empower people with disabilities to achieve greater independence at home. These interfaces allow individuals with severe impairments t…
  openalex Mosa Muntadher Mohammed Mosa, Arief R. Harris 2024-08-09 置信度 0.72 Brain–computer interfaceHome automationInterface (matter)Human–computer interactionComputer science
• How different immersive environments affect intracortical brain computer interfaces
  Abstract Objective . As brain–computer interface (BCI) research advances, many new applications are being developed. Tasks can be performed in different virtual environments, and whether a BCI user can switch environments seamlessly will influence the ultimate…
  openalex Ariana F. Tortolani, Nicolas G. Kunigk, Anton R. Sobinov, Michael L. Boninger 等 2025-01-30 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionGeneralizability theoryVirtual machine
• Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
  Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person’s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropriate tr…
  openalex Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob 等 2024-03-06 置信度 0.72 Identification (biology)Artificial intelligenceComputer scienceMedicineMedical physics
• An overview of brain-like computing: Architecture, applications, and future trends
  With the development of technology, Moore's law will come to an end, and scientists are trying to find a new way out in brain-like computing. But we still know very little about how the brain works. At the present stage of research, brain-like models are all s…
  pubmed Wei Ou, Shitao Xiao, Chengyu Zhu, Wenbao Han 等 2022 置信度 0.82 Computer scienceGRASPField (mathematics)Data scienceCognitive computing
• Artificial intelligence for brain disease diagnosis using electroencephalogram signals
  Brain signals refer to electrical signals or metabolic changes that occur as a consequence of brain cell activity. Among the various non-invasive measurement methods, electroencephalogram (EEG) stands out as a widely employed technique, providing valuable insi…
  pubmed Shunuo Shang, Yingqian Shi, Yajie Zhang, Mengxue Liu 等 2024 Oct 15 置信度 0.82 ElectroencephalographyBrain–computer interfaceComputer scienceArtificial intelligenceBrain activity and meditation
• Neurorehabilitation Through Synergistic Man-Machine Interfaces Promoting Dormant Neuroplasticity in Spinal Cord Injury: Protocol for a Nonrandomized Controlled Trial
  BACKGROUND: Spinal cord injury (SCI) constitutes a major sociomedical problem, impacting approximately 0.32-0.64 million people each year worldwide; particularly, it impacts young individuals, causing long-term, often irreversible disability. While effective r…
  openalex Alkinoos Athanasiou, Konstantinos Mitsopoulos, Apostolos Praftsiotis, Alexander Astaras 等 2022-09-13 置信度 0.72 NeurorehabilitationBrain–computer interfacePhysical medicine and rehabilitationSpinal cord injuryMedicine
• Transcranial optogenetic brain modulator for precise bimodal neuromodulation in multiple brain regions
  Transcranial brain stimulation is a promising technology for safe modulation of brain function without invasive procedures. Recent advances in transcranial optogenetic techniques with external light sources, using upconversion particles and highly sensitive op…
  openalex Hyogeun Shin, Min‐Ho Nam, Seung Eun Lee, Soo Hyun Yang 等 2024-11-30 置信度 0.72 OptogeneticsNeuromodulationNeuroscienceBrain stimulationBrain function
• EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset
  Diagnosing and treating dementia, including mild cognitive impairment (MCI), is challenging due to diverse disease types and overlapping symptoms. Early MCI detection is vital as it can precede dementia, yet distinguishing it from later stage dementia is intri…
  openalex Abdulyekeen T. Adebisi, Ho‐Won Lee, Kalyana C. Veluvolu 2024-01-01 置信度 0.72 Identification (biology)DementiaElectroencephalographyNeuroscienceComputer science
• Dopamine and deep brain stimulation accelerate the neural dynamics of volitional action in Parkinson's disease
  The ability to initiate volitional action is fundamental to human behaviour. Loss of dopaminergic neurons in Parkinson's disease is associated with impaired action initiation, also termed akinesia. Both dopamine and subthalamic deep brain stimulation (DBS) can…
  openalex Richard M. Köhler, Thomas S. Binns, Timon Merk, Guanyu Zhu 等 2024-07-02 置信度 0.72 Deep brain stimulationNeuroscienceParkinson's diseaseDopaminergicPsychology
• Designing for learner engagement with computer-based testing
  The issues influencing student engagement with high-stakes computer-based exams were investigated, drawing on feedback from two cohorts of international MA Education students encountering this assessment method for the first time. Qualitative data from surveys…
  openalex Richard Walker, Zöe Handley 2016-01-01 置信度 0.72 Test (biology)CitationStudent engagementComputer literacyInformation literacy
• Self-Organized Nanostructure Modified Microelectrode for Sensitive Electrochemical Glutamate Detection in Stem Cells-Derived Brain Organoids
  Neurons release neurotransmitters such as glutamate to communicate with each other and to coordinate brain functioning. As increased glutamate release is indicative of neuronal maturation and activity, a system that can measure glutamate levels over time withi…
  openalex Babak Nasr, Rachael Chatterton, Jason Yong, Pegah Jamshidi 等 2018-02-05 置信度 0.72 MicroelectrodeOrganoidNanostructureNanotechnologyChemistry
• VPI: Vehicle Programming Interface for Vehicle Computing
  openalex Baofu Wu, Zhong Ren, Yuxin Wang, Jian Wan 等 2024-01-30 置信度 0.72 Interface (matter)Computer scienceOperating systemMaximum bubble pressure methodBubble
• Brain Tumor Detection Using Magnetic Resonance Imaging and Convolutional Neural Networks
  Early and precise detection of brain tumors is critical for improving clinical outcomes and patient quality of life. This research focused on developing an image classifier using convolutional neural networks (CNN) to detect brain tumors in magnetic resonance …
  openalex Rafael Martínez-Del-Río-Ortega, Javier Civit-Masot, Francisco Luna-Perejón, Manuel Domínguez-Morales 2024-09-21 置信度 0.72 Convolutional neural networkMagnetic resonance imagingNeuroimagingFunctional magnetic resonance imagingBrain tumor
• Multifunctional Nanomaterials for Advancing Neural Interfaces: Recording, Stimulation, and Beyond
  High Resolution Image Download MS PowerPoint Slide Conspectus Neurotechnology has seen dramatic improvements in the last three decades. The major focus in the field has been to design electrical communication platforms with high spatial resolution, stability, …
  openalex Daniel Ranke, In‐Kyu Lee, Samuel A. Gershanok, Seonghan Jo 等 2024-06-11 置信度 0.72 NanotechnologyNanomaterialsBioelectronicsMaterials scienceMicroelectrode
• Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients.
  Brain-computer interfaces (BCIs) establish a direct communication pathway between the brain and external devices and have been widely applied in upper limb rehabilitation for hemiplegic patients. However, significant individual variability in motor imagery ele…
  pubmed Wang Y, Gong L, Zhao Y, Yu Y 等 2024 置信度 0.82
• Olfactory neurofeedback: current state and possibilities for further development.
  This perspective considers the novel concept of olfactory neurofeedback (O-NFB) within the framework of brain-computer interfaces (BCIs), where olfactory stimuli are integrated in various BCI control loops. In particular, electroencephalography (EEG)-based O-N…
  pubmed Ninenko I, Medvedeva A, Efimova VL, Kleeva DF 等 2024 置信度 0.82
• Detecting fast-ripples on both micro- and macro-electrodes in epilepsy: A wavelet-based CNN detector.
  Fast-ripples (FR) are short (∼10 ms) high-frequency oscillations (HFO) between 200 and 600 Hz that are helpful in epilepsy to identify the epileptogenic zone. Our aim is to propose a new method to detect FR that had to be efficient for intracereb…
  pubmed Gardy L, Curot J, Valton L, Berthier L 等 2025 Mar 置信度 0.82
• Enhancing motor imagery EEG signal decoding through machine learning: A systematic review of recent progress.
  This systematic literature review explores the intersection of neuroscience and deep learning in the context of decoding motor imagery Electroencephalogram (EEG) signals to enhance the quality of life for individuals with motor disabilities. Currently, the mos…
  pubmed Hameed I, Khan DM, Ahmed SM, Aftab SS 等 2025 Feb 置信度 0.82