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motor imagery

GeneTech 知识引擎共收录 1560 篇相关科研实体，横跨 28 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• 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…
• Motor imagery-based brain-computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis.
  2026 · 仿生智能 · Background Motor imagery-based brain–computer Interface (MI-BCI) utilises electroencephalographic signals from imagined limb movements for control commands, enabling real-time interaction with external devices. Clinical …
• Brain-computer interface technology for motor rehabilitation in severe stroke: a narrative review.
  2026 · 仿生智能 · This review examines the application of brain-computer interface (BCI) technology for motor rehabilitation in patients with severe stroke-a population often excluded from conventional therapies due to minimal movement. B…
• 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…
• EEG-based AI-BCI wheelchair advancement: Transformer-based learning with motor imagery for brain computer interface.
  2026 · 仿生智能 · This article presents an artificial intelligence integrated approach to brain-computer interface-based wheelchair development, utilizing a motor imagery right-left-hand movement mechanism for control. The system is desig…
• 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…
• Brain-computer interface-based neurofeedback training enables transferable control of cortical state switching in humans.
  2026 · 仿生智能 · Behavioral flexibility relies on transient neural dynamics that govern cortical state transitions. However, whether humans can deliberately learn to control such state transitions and generalize trained neural dynamics b…
• 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…
• Motor imagery combined with brain-computer interface for stroke patients: a meta-analysis.
  2026 · 仿生智能 · Objective To systematically evaluate the effects of motor imagery combined with brain-computer interface (MI-BCI) on stroke patients. Methods Randomized controlled trials (RCTs) on MI-BCI for stroke patients were retriev…
• 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 …
• EEG-based brain-computer interface (BCI) dataset for directional word recognition.
  2026 · 仿生智能 · We present an EEG dataset recorded from 22 neurologically healthy volunteers (12 native Russian speakers and 10 native Spanish speakers) during overt and covert articulation of six spatial-direction words. Monopolar EEG …
• Brain-computer interface for upper limb functional recovery post-stroke: a meta-analysis of improvement in upper limb motor function and changes in neurophysiological markers.
  2026 · 仿生智能 · Brain-Computer Interface (BCI) has emerged as a promising intervention, facilitating recovery of upper limb motor function, enhancing associated neurophysiological markers, and improving activities of daily living (ADL) …
• Different feedback modes of brain-computer interface training for upper limb motor function after stroke: a protocol for a systematic review and network meta-analysis.
  2026 · 仿生智能 · Upper limb motor impairment after stroke is a major contributor to long-term disability and can have lasting effects on patients' activities of daily living, social participation, and quality of life. Brain-computer inte…
• Non-Invasive EEG-Based Brain-Computer Interface for Real-Time Prosthetic Hand Control
  2026 · 仿生智能 · Abstract This paper highlights a non-invasive EEG-controlled brain–computer interface BCI system for real-time control over a developed prosthetic hand system. Motor imagery trials involving opening, closing, grasping, a…
• Feasibility of decoding cerebellar movement-related potentials for brain-computer interface applications.
  2025 · 仿生智能 · Objective. In brain-computer interface (BCI) applications, signals are conventionally acquired from the cerebrum, and only a subset of the complex interactions that occur in several areas of the brain are collected. One …
• Exploring Imagined Movement for Brain-Computer Interface Control: An fNIRS and EEG Review.
  2025 · 仿生智能 · Brain-Computer Interfaces (BCIs) offer a non-invasive pathway for restoring motor function, particularly for individuals with limb loss. This review explored the effectiveness of Electroencephalography (EEG) and function…
• The effect of perceived auditory feedback on speech Brain-Computer Interface decoding performance.
  2025 · 仿生智能 · Brain-Computer Interfaces (BCI) provide alternative means of communication for individuals with severe motor impairment. Implantable speech BCIs have shown great potential, particularly in individuals who could still pro…
• Robust Motor Imagery-Brain-Computer Interface Classification in Signal Degradation: A Multi-Window Ensemble Approach.
  2025 · 仿生智能 · Electroencephalography (EEG)-based brain–computer interface (BCI) mimics the brain’s intrinsic information-processing mechanisms by translating neural oscillations into actionable commands. In motor imagery (MI) BCI, ima…
• TSFNet: Temporal-Spatial Fusion Network for Hybrid Brain-Computer Interface.
  2025 · 仿生智能 · Unimodal brain-computer interfaces (BCIs) often suffer from inherent limitations due to the characteristic of using single modalities. While hybrid BCIs combining electroencephalography (EEG) and functional near-infrared…
• Inter-Session Robust Hybrid Brain-Computer Interface: Safe and User-Friendly Approach with LED Activation Mechanism
  2025 · 仿生智能 · This study introduces, a hybrid BCI system with a robust and secure activation mecha-nism between sessions is introduced, aiming to minimize the negative effects of visual stimulus-based Brain-Computer Interface (BCI) sy…
• Sustainable Quantification of Urea in Aqueous Solutions and Corn Cultivation Soils Using Raman Spectroscopy: Towards Precision Agriculture and the Reduction of Environmental Impact
  2026 · 智慧农业 · The reliable quantification of urea in agricultural systems requires methods that combine metrological rigor with low environmental impact. This work develops and validates a micro-Raman method (λ = 532 nm) for the direc…
• 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 …
• Factors influencing random forest soil volumetric water content predictions within a turfgrass field
  2025 · 智慧农业 · Irrigation of turfgrass in semi-arid regions consumes much freshwater and up to 50% of applications are wasted through spatial and temporal mis-applications. More efficient spatial applications are possible with valve-in…
• Pengaruh Kompensasi, Kepuasan Kerja dan Pengembangan Karir terhadap Kinerja Pegawai Dinas Pekerjaan Umum Kabupaten Teluk Wondama
  2025 · AI 安全与对齐 · Employees of the Public Works Department of Teluk Wondama Regency feel that they have given good performance, but the provision of additional employee income compensation (TPP) cannot provide job satisfaction because som…
• Respiratory Signal Estimation for Free-Hand 2D Ultrasound Image via Heterogeneous Alignment and Conditional Generative Learning
  2025 · AI 安全与对齐 · Objective 2D ultrasound sequence captures respiration-induced morphological variation of organs and is the most widely used for estimating the signal that represents the respiratory motion. However, the spatial motion in…
• SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model
  2025 · AI 驱动科学发现 · The global marine gravity anomalies are primarily recovered from geoid gradients in the along-track directions obtained through satellite altimetry. However, the accuracy of the gravity model is significantly constrained…
• 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…
• Impact of backpack load during walking: an EMG and biomechanical analysis
  2025 · 生物计算 · Abstract This study aims to understand the impact of backpack carriage, a regular activity for many, on back muscles and joint mobility during walking so that clinicians can develop strategies or products to ensure indiv…
• 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…
• 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…
• Exploring Ancient Meditative Practices: Insights from Psychometric Data for Brain-Computer Interface Enhancement
  2025 · 仿生智能 · Background: Meditation practices involve training the mind to focus and redirect thoughts, primarily to increase aware- ness, relaxation, and inner peace. The aim of this work is to compare the impact of three traditiona…
• A Brain-Computer Interface for Improving Auditory Attention in Multi-Talker Environments
  2025 · 仿生智能 · Abstract Objective There is significant research in accurately determining the focus of a listener’s attention in a multi-talker environment using auditory attention decoding (AAD) algorithms. These algorithms rely on ne…
• Hyperspectral image feature extraction and classification for soil nutrient mapping
  2024 · 智慧农业 · Aerial hyperspectral images were used for soil nutrient mapping and the image processing results were compared with the conventional field grid sampling and interpolation methods. A spatial low pass filter was applied to…
• Selective load control of lumbar muscles in robot-assisted isometric lumbar stabilization exercise
  2024 · 智慧农业 · Abstract Lumbar stabilization exercises are commonly employed in the rehabilitation of patients with low back pain. However, many patients discontinue these exercises, generally calisthenics using various postures or too…
• Transfer learning with data alignment and optimal transport for EEG based motor imagery classification
  2024 · AI 安全与对齐 · Abstract Objective. The non-stationarity of electroencephalogram (EEG) signals and the variability among different subjects present significant challenges in current Brain–Computer Interfaces (BCI) research, which requir…
• 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…
• Cancer detection and classification using a simplified binary state vector machine
  2024 · 生物计算 · Cancer is an invasive and malignant growth of cells and is known to be one of the most fatal diseases. Its early detection is essential for decreasing the mortality rate and increasing the probability of survival. This s…
• 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 …
• 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…
• Reconstructive interpolation for pulse wave estimation to improve local PWV measurement of carotid artery
  2024 · 生物计算 · Ultrasonic transit time (TT)-based local pulse wave velocity (PWV) measurement is defined as the distance between two beam positions on a segment of common carotid artery (CCA) divided by the TT in the pulse wave propaga…
• Development of Wrist Separated Exoskeleton Socket of Myoelectric Prosthesis Hand for Symbrachydactyly
  2024 · 仿生智能 · In recent years, the functionality of myoelectric prosthetic hands has improved as motors have become smaller and controls have become more advanced. Attempts have been made to reproduce the rotation and flexion of the w…
• Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface
  2024 · 仿生智能 · Deep learning has shown promise in decoding brain signals, such as electroencephalogram (EEG), in the field of brain-computer interfaces (BCIs). However, the non-stationary characteristics of EEG signals pose challenges …
• Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings
  2024 · 仿生智能 · Cardiac artifacts have been observed in brain recordings captured by the endovascular Stentrode(TM) device. These artifacts are an order of magnitude larger than underlying neural activity and impact upon brain-computer …
• Applications of Brain-Computer Interface in Action Observation and Motor Imagery
  2024 · 仿生智能 · Motor imagery (MI) and action observation (AO) are vital elements in brain-computer interface (BCI) applications. MI involves mentally simulating movements and physical execution, while AO involves observing others perfo…
• Comparing MEG and EEG measurement set-ups for a brain–computer interface based on selective auditory attention
  2024 · 仿生智能 · Abstract Auditory attention modulates auditory evoked responses to target vs. non-target sounds in electro- and magnetoencephalographic (EEG/MEG) recordings. Employing whole-scalp MEG recordings and offline classificatio…
• Obtaining yield maps in orchards by tracking machine behavior
  2023 · 智慧农业 · In hand harvested citrus orchards, fruits are usually stored in big bags or containers in the fields until they are picked by a crane and loaded into a truck. Yield maps for this type of harvest are mostly based on geo-r…
• Robot Learning by Demonstration with Dynamic Parameterization of the Orientation: An Application to Agricultural Activities
  2023 · 智慧农业 · This work proposes a Learning by Demonstration framework based on Dynamic Movement Primitives (DMPs) that could be effectively adopted to plan complex activities in robotics such as the ones to be performed in agricultur…
• Penilaian Kinerja Pegawai Negeri Sipil pada Badan Kepegawaian Daerah Provinsi Bengkulu
  2023 · AI 安全与对齐 · Employee Performance Assessment is one of the links in staffing management. Assessment of work performance is an evaluation of the results of the implementation of an employee's work in order to achieve the objectives of…
• 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…
• Towards Developing Novel and Intuitive Brain-based Control Interface via On-skin Input
  2023 · 仿生智能 · Input is a significant challenge for current wear-able systems in the context of extended reality and metaverse environment due to lack of expressive power, naturalness, intuitiveness and social acceptability. In this pa…
• MotiVE BCI: motivation models including valence and expectancy in brain-computer interface use.
  2026 · 仿生智能 · In this work, a theoretical framework addressing the role of motivation in brain-computer interface (BCI) was developed. The aim was to present theory-based versions of motivation models for BCI use that can serve as a f…
• Enabling Adaptive Interaction in the Metaverse Using a Hybrid EEG-Based Brain–Computer Interface
  2026 · 仿生智能 · This paper presents a hybrid model for the control of brain-computer interfaces (BCIs) for Metaverse environments, with the goal of advancing the capabilities of such interfaces beyond the traditional motor imagery (MI) …
• Enabling Adaptive Interaction in the Metaverse Using a Hybrid EEG-Based Brain–Computer Interface
  2026 · 仿生智能 · This paper presents a hybrid model for the control of brain-computer interfaces (BCIs) for Metaverse environments, with the goal of advancing the capabilities of such interfaces beyond the traditional motor imagery (MI) …
• EEG-based motor execution classification of upper and lower extremities using machine learning.
  2025 · 仿生智能 · This study classifies upper- and lower-extremity motor execution from electroencephalography (EEG). We compared two feature extractors, statistical features and Common Spatial Patterns (CSP), and four classifiers: K-Near…
• Generative enhancement of non-invasive datasets for motor brain-computer interface by synthesizing task-relevant neural signals
  2025 · 仿生智能 · Abstract Despite the increasing adoption of deep neural networks (DNNs) in brain-computer interfaces (BCIs), developing high-degree-of-freedom (DOF) systems capable of decoding continuous movements, such as limb kinemati…

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