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electroencephalography

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代表性文献（按质量分排序，前 60 条）

• A color-coded SSVEP-based brain-computer interface.
  2026 · 仿生智能 · Abstract Objective. Steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs) predominantly employ frequency, phase, or spatial coding. This study proposes a color-dimension SSVEP encoding schem…
• Concurrent control of natural and robotic limbs through a tactile-encoded brain-computer interface.
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) promise to extend human movement capabilities by enabling direct neural control of supernumerary effectors, yet integrating augmented commands with multiple degrees of freedom without dis…
• Long-term independent use of an intracortical brain-computer interface for speech and cursor control.
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) can provide naturalistic communication and digital access to people with severe paralysis by decoding neural activity associated with attempted speech and movement. Recent work has demons…
• A Minimally Invasiveness Hybrid Brain-Computer Interface: A Distributed, Scalable and Evolvable Architecture for Whole Brain Access
  2026 · 仿生智能 · Abstract Brain-computer interfaces face a fundamental trade-off between the signal fidelity and stimulation precision of noninvasive systems and the surgical burden and scalability of invasive systems. Non-invasive BCIs …
• Validation of portable, semi-dry electrode-based electroencephalography device for its application in brain-computer interface solutions.
  2026 · 仿生智能 · In recent years, commercial lightweight electroencephalography (EEG) headsets are gaining popularity in neuroscience. These devices commonly utilize only a few dry electrodes in specific locations and signal quality is o…
• An EEG Dataset for Visual Imagery-Based Brain-Computer Interface.
  2026 · 仿生智能 · With the advancement of non-invasive brain-computer interface (BCI) technologies, decoding high-level cognitive activity has become pivotal for expanding human-machine interaction. Visual imagery-based BCI (VI-BCI) enabl…
• Application of Filter Bank to Improve Fatigue Monitoring in Wearable EEG-Based Brain-Computer Interface.
  2026 · 仿生智能 · Fatigue monitoring and detection are crucial for improving efficiency and safety due to their influence on reducing cognitive and physical performance that may result in safety-related incidents. This paper proposes a fi…
• Intracortical brain-computer interface for navigation in virtual reality in macaque monkeys.
  2026 · 仿生智能 · We present an innovative intracortical brain-computer interface (BCI) to bridge the gap between laboratory settings and real-world applications. This BCI approach introduces three key advancements. First, we used neural …
• [Progress and Prospects of Ultrasound Brain-Computer Interface Medical Devices Technology].
  2026 · 仿生智能 · Brain-computer interface (BCI) medical devices represent a category of innovative medical devices. They assist in treating neurological disorders by leveraging human-machine interaction to improve patients' quality of li…
• A User-Friendly Ear-EEG-Based Brain-Computer Interface Using Text Sequence Stimulation
  2026 · 仿生智能 · Abstract Background Ear-EEG-based brain-computer interfaces (BCIs) provide improved wearability and comfort compared to traditional scalp-EEG systems. However, their performance is constrained by low signal-to-noise rati…
• Electroencephalography-Based Brain-Computer Interface System Using Tongue Movement Imagery for Wheelchair Control.
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) are essential in assistive technologies to restore mobility in individuals with motor impairments. Although electroencephalography (EEG)-based brain-controlled wheelchairs have been exten…
• A steady-state visual evoked potential-based brain-computer interface dataset in children and adolescents
  2026 · 仿生智能 · Abstract The development of steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) for children has been limited, in part, by the scarcity of publicly available pediatric SSVEP datasets. In a…
• An Immersive P300 Brain-Computer Interface Based on 3D Morphological Stimuli and Self-Adaptive Bayesian Linear Discriminant Analysis.
  2026 · 仿生智能 · Conventional P300-based brain-computer interfaces (BCIs) commonly rely on two-dimensional (2D) visual flashing, which may induce visual fatigue and limit immersion, thereby restricting long-term usability and system perf…
• Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface.
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) are increasingly explored as tools for post-stroke neurorehabilitation. Motor imagery (MI)-based paradigms are widely used but may be difficult for some patients to perform reliably, moti…
• SET Net A Hybrid Deep Learning Framework For EEG Based Attention Relaxation Classification In Brain Computer Interface Applications.
  2026 · 仿生智能 · Brain Computer Interface (BCI) technology is used as a tool to provide a direct communication channel between the human brain and the external environment. This has applications in assistive and interactive systems. The …
• A Cheonjiin Layout Mental Speller: Developing a Simple and Cost-Effective EEG-Based Brain-Computer Interface System.
  2026 · 仿生智能 · A brain-computer interface (BCI) enables direct communication between the brain and external devices by translating neural activity into executable control commands. Among electroencephalography (EEG)-based paradigms, st…
• EEG Foundation Model Improves Online Directional Motor Imagery Brain-computer Interface Control
  2026 · 仿生智能 · Abstract Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabling control of devices for the purposes of restoring function to motor-affected individuals and enhancing capab…
• Filter bank CSP with Riemannian weighting for disability-centric motor imagery brain computer interface.
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) were initially created to help individuals with disabilities control devices and communicate without muscle movement. Today, BCIs are used for prosthetic control, cognitive enhancement, a…
• A GRASS-guided phased progressive brain-computer interface approach for post-infarction hand motor recovery.
  2026 · 仿生智能 · BACKGROUND: Hand dysfunction is a disabling sequela of cerebral infarction, often refractory to conventional rehabilitation. Brain–computer interface (BCI) interventions that combine motor imagery (MI) and action …
• Distinct neural modes carry information about attempted grasp timing and force in the sensorimotor cortex.
  2026 · 仿生智能 · Humans perform a variety of complex hand movements to manipulate objects, requiring precise control of changing forces. Understanding the role of sensorimotor cortex and the cortical dynamics underlying these actions is …
• A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.
  2026 · 仿生智能 · Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for …
• Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.
  2026 · 仿生智能 · Steady-state visual evoked potential brain-computer interfaces offer a high-speed communication channel. However, traditional steady-state visual evoked potential paradigms often rely on strong flickering visual stimulat…
• Passive Brain-Computer Interface Using Textile-Based Electroencephalography.
  2025 · 仿生智能 · Background: Passive brain-computer interface (pBCI) systems use a combination of electroencephalography (EEG) and machine learning (ML) to evaluate a user's cognitive and physiological state, with increasing applications…
• NeuroCommTrainer: Toward an Adaptive and Wearable Multimodal Brain-Computer Interface.
  2025 · 仿生智能 · Introduction: To date, brain–computer interfaces (BCIs) have not achieved reliable real-time communication through auditory or tactile modalities. Such interfaces would be crucial for brain-injured patients with severe m…
• Enhancing the Efficiency and Flexibility of AutoMeKin: Integrating ORCA and Machine-Learning Potentials
  2026 · AI 驱动科学发现 · This repository contains the reaction-network data and level-of-theory benchmark for five automated reaction discovery (AutoMeKin) studies: cBD-CCH, cBD-CN, cBD-OH, Tz2-HA, and MEA. For each system it includes:- LL (low-…
• Enhancing the Efficiency and Flexibility of AutoMeKin: Integrating ORCA and Machine-Learning Potentials
  2026 · AI 驱动科学发现 · This repository contains the reaction-network data and level-of-theory benchmark for five automated reaction discovery (AutoMeKin) studies: cBD-CCH, cBD-CN, cBD-OH, Tz2-HA, and MEA. For each system it includes:- LL (low-…
• Literature Review on Lucidia: AI-Based Dementia and Alzheimer's Support Systems
  2026 · AI 驱动科学发现 · Lucidia is an intelligent assistive framework designed to support people living with dementia and Alzheimer?s disease. Built as a single IoT-driven ecosystem, it brings together GPS tracking, voice-based reminders, memor…
• Nonlinear and Chaos Biological Markers from Alzheimer’s Disease and Dementia
  2026 · 生物计算 · Electroencephalography (EEG) is an important tool used to support the diagnosis and follow-up of neurological conditions, including epilepsy, sleep disorders, and neurodegenerative diseases such as Alzheimer’s disease (A…
• A Integrated Deep Learning Approach Using Resnet And Efficientnet-B0 With Optimized Data Sampling For Non- Invasive Eeg-Based Epileptic Seizure Detection
  2026 · 医疗人工智能 · Epileptic seizure detection is an important task in healthcare monitoring systems. Epileptic seizures occur due to abnormal electrical activity in the brain and may vary in severity, duration, and type. Accurate and earl…
• A Integrated Deep Learning Approach Using Resnet And Efficientnet-B0 With Optimized Data Sampling For Non- Invasive Eeg-Based Epileptic Seizure Detection
  2026 · 医疗人工智能 · Epileptic seizure detection is an important task in healthcare monitoring systems. Epileptic seizures occur due to abnormal electrical activity in the brain and may vary in severity, duration, and type. Accurate and earl…
• Towards Brain-Machine Intelligence: Co-Evolution Brain-Computer Interface
  2026 · 仿生智能 · Brain-computer interfaces (BCIs) enable direct information exchange between the human brain and external devices withoutrelying on peripheral nerves and muscles. Over the past five decades, BCI research has progressed fr…
• Prototype of a Bionic Prosthesis Sensory Feedback System
  2026 · 仿生智能 · This article presents the results of a study exploring sensorimotor integration in upper-limb prostheses through the development of a prototype noninvasive adaptive control system for a bionic hand prosthesis. The study …
• Enhancing seeding efficiency using a computer vision system to monitor furrow quality in real-time
  2025 · 智慧农业 · Effective seed sowing is hindered by challenges such as residue accumulation, low soil temperatures, and hair pinning (crop residue pushed in the trench by the furrow opener), which obstruct optimal trench formation. In …
• Neural signatures of motor memories emerge in neural network models
  2025 · AI 安全与对齐 · Abstract Animals can learn and seamlessly perform a great number of behaviors. However, it is unclear how neural activity can accommodate new behaviors without interfering with those an animal has already acquired. Recen…
• Motor imagery-based neural networks for assisting tetraplegic patients
  2025 · 生物计算 · Nowadays, deep network-based classification algorithms are used in a myriad of applications for brain-computer interfaces (BCIs). These interfaces can enhance the daily lives of quadriplegic patients. Electroencephalogra…
• Graph convolution network-based eeg signal analysis: a review
  2025 · 生物计算 · With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-compu…
• Improved deep canonical correlation fusion approach for detection of early mild cognitive impairment
  2025 · 生物计算 · Detection of early mild cognitive impairment (EMCI) is clinically challenging as it involves subtle alterations in multiple brain sub-anatomic regions. Among different brain regions, the corpus callosum and lateral ventr…
• A new parallel-path ConvMixer neural network for predicting neurodegenerative diseases from gait analysis
  2025 · 生物计算 · Neurodegenerative disorders (NDD) represent a broad spectrum of diseases that progressively impact neurological function, yet available therapeutics remain conspicuously limited. They lead to altered rhythms and dynamics…
• Detecting mild cognitive impairment by applying integrated random forest to finger tapping
  2025 · 生物计算 · Early detection of dementia is essential to reduce the decline in quality of life (QoL) and the increase in medical and nursing care costs associated with dementia in an aging society. In this study, we aimed to develop …
• A cross-domain-based channel selection method for motor imagery
  2025 · 生物计算 · Selecting channels for motor imagery (MI)-based brain-computer interface (BCI) systems can not only enhance the portability of the systems, but also improve the decoding performance. Hence, we propose a cross-domain-base…
• Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management
  2025 · 医疗人工智能 · Introduction: Epilepsy is a prevalent chronic neurological disorder primarily diagnosed using electroencephalography (EEG). Traditional EEG interpretation relies on manual analysis, which suffers from high misdiagnosis r…
• Human Machine Interface Through Electromyography
  2025 · 医疗人工智能 · This study aimed to compare different continuous electromyography (EMG)--based interface styles for forecasting wrist and hand motions. The interfaces are moving towards continuous, simultaneous control with many degrees…
• Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards
  2024 · 智慧农业 · Leaks and clogs in drip-irrigated orchards lead to variable yields, reduced efficiency and profitability. Frequent monitoring of irrigation systems by farmers is important but costly, labor-intensive, and not easily impl…
• EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts
  2024 · AI 安全与对齐 · Understanding emotional states is pivotal for the development of next-generation human-machine interfaces. Human behaviors in social interactions have resulted in psycho-physiological processes influenced by perceptual i…
• Imagined speech classification exploiting EEG power spectrum features
  2024 · 生物计算 · Imagined speech recognition has developed as a significant topic of research in the field of brain-computer interfaces. This innovative technique has great promise as a communication tool, providing essential help to tho…
• LieWaves: dataset for lie detection based on EEG signals and wavelets
  2024 · 生物计算 · This study introduces an electroencephalography (EEG)-based dataset to analyze lie detection. Various analyses or detections can be performed using EEG signals. Lie detection using EEG data has recently become a signific…
• Direct lingam and visibility graphs for analyzing brain connectivity in BCI
  2024 · 生物计算 · The brain-computer interface (BCI) is a direct pathway of communication between the electrical activity of the brain and an external device. The present paper was aimed to investigate directed connectivity between differ…
• Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification
  2024 · 生物计算 · Electroencephalogram (EEG) motor imagery (MI) classification refers to the use of EEG signals to identify and classify subjects' motor imagery activities; this task has received increasing attention with the development …
• Evaluating the performance of the cognitive workload model with subjective endorsement in addition to EEG
  2024 · 生物计算 · The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Evaluating such load poses several challenges owing to many factors like measurement mode and complexity, nature of the lo…
• Assessment of visual fatigue in SSVEP-based brain-computer interface: a comprehensive study
  2024 · 生物计算 · Fatigue deteriorates the performance of a brain-computer interface (BCI) system; thus, reliable detection of fatigue is the first step to counter this problem. The fatigue evaluated by means of electroencephalographic (E…
• A survey on the state of the art of force myography technique (FMG): analysis and assessment
  2024 · 生物计算 · Abstract Precise feedback assures precise control commands especially for assistive or rehabilitation devices. Biofeedback systems integrated with assistive or rehabilitative robotic exoskeletons tend to increase its per…
• A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns
  2024 · 医疗人工智能 · Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, and it remains incurable. Currently there is no definitive biomarker for detecting PD, measuring its severity, or monitoring of treatments…
• Deep Learning based Automated Disease Detection and Classification Model for Precision Agriculture
  2023 · 智慧农业 · Abstract Plant phenotyping and Precision agriculture are information-and technology-oriented fields with specific challenges and demands for the detection and diagnosis of plant disease. Precision agriculture can be refe…
• Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality
  2023 · 智慧农业 · The color of olive oil is influenced by chlorophyll pigments, which is one of the basic quality characteristics of olive oil. Furthermore, the concentration of chlorophyll pigments in olives and oil is related to the rip…
• Driving fatigue detection based on brain source activity and ARMA model
  2023 · 生物计算 · Fatigue among drivers is a significant issue in society, and according to organizational reports, it substantially contributes to accidents. So accurate fatigue detection in drivers plays a crucial role in reducing the n…
• Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients
  2023 · 医疗人工智能 · Objective Diagnosis of mild traumatic brain injury (mTBI) is challenging despite its high incidence, due to the unspecificity and variety of symptoms and the frequent lack of structural imaging findings. There is a need …
• Introduction
  2023 · 仿生智能 · Brain signals or radiations are a relatively new concept that works with information collected via human brain and cognitive activity. These signals like human brain are influenced by all the physical, geographical, emot…
• Statistical Learning for Brain–Computer Interface
  2023 · 仿生智能 · A BCI is a system that transforms brain impulses directly into motions for computer software, such as a word processor, or a device, such as a monitor. We describe who the target users of a BCI are and how a BCI works in…
• Automated Anxiety Detection System Integrating a Brain-Computer Interface for Neurofeedback Applications.
  2026 · 仿生智能 · Anxiety disorders pose an increasing challenge to the mental health of individuals, particularly in regions with limited healthcare access. This study investigated the potential of integrating a brain-computer interface …
• Implanted Pediatric Brain-Computer Interface Research: Recommendations for the Ethical Design of Clinical Trials.
  2026 · 仿生智能 · For children with severe physical and cognitive disabilities (e.g. iatrogenic neurologic injury, congenital myelopathy, or quadriplegic cerebral palsy), there are limited therapeutic options. Scientific and clinical deve…

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