Explanipedia

Incorporation of a coding scheme based on neuronal firing patterns and distributions improves noninvasive brain control of robotic devices Open

Dong Ming, Minpeng Xu, Junyang Wang, Kun Wang, Shuang Liu , et al. · 2025

Brain–computer interfaces (BCIs) represent a breakthrough that enables individuals to restore motor function and extend their ability to interact with external environments. Although invasive BCIs have demonstrated remarkable performance i…

Optimizing discharge summary generation: fine-tuning LLMs by DoRA and iterative self-evaluation for enhanced medical text generation Open

Wenbin Li, Hui Feng, Chao Hu, Minpeng Xu, Longlong Cheng · 2025

Background The generation of discharge summaries in healthcare is crucial but labor-intensive. Purpose This study introduces a novel framework that enhances the automation of this process using advanced natural language processing (NLP) te…

Challenges and prospects of BCI-based robot systems for stroke rehabilitation Open

Kun Wang, Yupeng Wang, Minglun Li, Minpeng Xu, Dong Ming · 2025

MCEEGNet: A Multi-Cue EEG Network for Quantitative Assessment of Depression Using Emotional Stimuli-Induced EEG Signals Open

X. X. Ding, Minpeng Xu, Jinghua Zhang, Jie Zhu, Xuenan Wang , et al. · 2025

Depression significantly affects health, manifesting as alterations in typical emotional responses. Its diagnosis depends on subjective evaluations by clinicians, which are often time-intensive. Electroencephalogram (EEG) signals offer a v…

CTSSP: A Temporal-Spectral-Spatio Joint Optimization Algorithm for Motor Imagery EEG Decoding Open

Lincong Pan, Kun Wang, Weibo Yi, Yang Zhang, Minpeng Xu , et al. · 2025

Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution Open

Hao Zhang, Xue Wang, Guowei Chen, Yanqiu Zhang, Xiqi Jian , et al. · 2025

High spatiotemporal resolution of noninvasive electroencephalography (EEG) signals is an important prerequisite for fine brain–computer manipulation. However, conventional scalp EEG has a low spatial resolution due to the volume conductor …

Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain–Computer Interfaces Open

Kun Wang, Yu-Wei Liu, Feifan Tian, Weibo Yi, Yang Zhang , et al. · 2025

Neurofeedback training (NFT) has been widely used in motor rehabilitation. However, NFT combined with motor imagery-based brain-computer interface (MI-BCI) faces challenges such as mental fatigue and non-personalized training strategies. T…

High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface Open

Jiayuan Meng, Xiaoyu Li, Siqi Li, Xinan Fan, Minpeng Xu , et al. · 2025

Active brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalog…

SSVEP Enhancement in Mixed Reality Environment for Brain–Computer Interfaces Open

Jieyu Wu, Feng He, Xiaolin Xiao, Runyuan Gao, Lin Meng , et al. · 2025

Expanding the application possibilities of brain-computer interfaces (BCIs) is possible through their implementation in mixed reality (MR) environments. However, visual stimuli are displayed against a realistic scene in the MR environment,…

Enhanced Spatial Division Multiple Access BCI Performance via Incorporating MEG With EEG Open

Dengpei Ji, Yongzhi Huang, Zhi-Yuan Chen, Xiaoyu Zhou, Junyang Wang , et al. · 2025

Spatial division multiple access (SDMA) is a way of encoding BCI systems based on spatial distribution of brain signal characteristics. However, SDMA-BCI based on EEG had poor system performance limited by spatial resolution. MEG-EEG fusio…

[Current progress on characteristics of intracranial electrophysiology related to prolonged disorders of consciousness]. Open

Yongzhi Huang, Jiarou Wu, Minpeng Xu, Jianghong He, Dong Ming · 2024

Prolonged disorders of consciousness (pDOC) are pathological conditions of alterations in consciousness caused by various severe brain injuries, profoundly affecting patients' life ability and leading to a huge burden for both the family a…

Memristor chip-enabled adaptive neuromorphic decoder for co-evolutional brain-computer interfaces Open

Huaqiang Wu, Zhengwu Liu, Jie Mei, Jianshi Tang, Minpeng Xu , et al. · 2024

To fulfill complex human-machine interactions, a brain-computer interface (BCI) must not only decipher brain signals but also dynamically adapt to brain fluctuations, ultimately co-evolving with the brain. This necessitates a novel decoder…

Effect of Phase Clustering Bias on Phase-Amplitude Coupling for Emotional EEG Open

Tingyu Sheng, Qiansheng Feng, Zhiguo Luo, Shaokai Zhao, Minpeng Xu , et al. · 2024

Background: Emotions are thought to be related to distinct patterns of neural oscillations, but the interactions among multi-frequency neural oscillations during different emotional states lack full exploration. Phase-amplitude coupling is…

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents Open

Yijie Zhou, Yibo Song, Shasha Qi, Xizi Song, Minpeng Xu , et al. · 2024

Deep brain stimulation (DBS) is an effective treatment for neurologic disease and its clinical effect is highly dependent on the DBS leads localization and current stimulating state. However, standard human brain imaging modalities could n…

[Research progress of brain-computer interface application paradigms based on rapid serial visual presentation]. Open

Jingmin Sun, Jiayuan Meng, Jia You, Mingming Yang, Jing Jiang , et al. · 2023

Rapid serial visual presentation (RSVP) is a type of psychological visual stimulation experimental paradigm that requires participants to identify target stimuli presented continuously in a stream of stimuli composed of numbers, letters, w…

An Accuracy Enhanced Vision Language Grounding Method Fused with Gaze Intention Open

Junqian Zhang, Long Tu, Yakun Zhang, Liang Xie, Minpeng Xu , et al. · 2023

Visual grounding aims to recognize and locate the target in the image according to human intention, which provides a new intelligent interaction idea and method for augmented reality (AR) and virtual reality (VR) devices. However, existing…

MetaBCI: An open-source platform for brain–computer interfaces Open

Jie Mei, Ruixin Luo, Lichao Xu, Wei Zhao, Shengfu Wen , et al. · 2023

MetaBCI can greatly lower the BCI's technical threshold for BCI beginners and can save time and cost to build up a practical BCI system. The source code is available at https://github.com/TBC-TJU/MetaBCI, expecting new contributions from t…

Almost free of calibration for SSVEP-based brain-computer interfaces Open

Ruixin Luo, Xiaolin Xiao, Enze Chen, Lin Meng, Tzyy‐Ping Jung , et al. · 2023

Objective . Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) is a promising technology that can achieve high information transfer rate (ITR) with supervised algorithms such as ensemble task-related componen…

Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals Open

Lincong Pan, Kun Wang, Lichao Xu, Xinwei Sun, Weibo Yi , et al. · 2023

Objective. Brain–computer interfaces (BCIs) enable a direct communication pathway between the human brain and external devices, without relying on the traditional peripheral nervous and musculoskeletal systems. Motor imagery (MI)-based BCI…

Transcranial dipole localization and decoding study based on ultrasonic phased array for acoustoelectric brain imaging Open

Hao Zhang, Yanqiu Zhang, Xue Wang, Guowei Chen, Xiqi Jian , et al. · 2023

Objective . Neuroimaging is one of the effective tools to understand the functional activities of the brain, but traditional non-invasive neuroimaging techniques are difficult to combine both high temporal and spatial resolution to satisfy…

Editorial: The application of artificial intelligence in brain-computer interface and neural system rehabilitation Open

Fangzhou Xu, Dong Ming, Tzyy‐Ping Jung, Peng Xu, Minpeng Xu · 2023

EDITORIAL article Front. Neurosci., 27 October 2023Sec. Neuroprosthetics Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1290961

Rhythmic temporal prediction enhances neural representations of movement intention for brain–computer interface Open

Jiayuan Meng, Yingru Zhao, Kun Wang, Jinsong Sun, Weibo Yi , et al. · 2023

Objective. Detecting movement intention is a typical use of brain–computer interfaces (BCI). However, as an endogenous electroencephalography (EEG) feature, the neural representation of movement is insufficient for improving motor-based BC…

A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces Open

Xiaolin Xiao, Lijie Wang, Minpeng Xu, Kun Wang, Tzyy‐Ping Jung , et al. · 2023

Objective. Currently, steady-state visual evoked potentials (SSVEPs)-based brain-computer interfaces (BCIs) have achieved the highest interaction accuracy and speed among all BCI paradigms. However, its decoding efficacy depends deeply on …

Decoding the EEG patterns induced by sequential finger movement for brain-computer interfaces Open

Chang Liu, Jia You, Kun Wang, Shanshan Zhang, Yining Huang , et al. · 2023

Objective In recent years, motor imagery-based brain–computer interfaces (MI-BCIs) have developed rapidly due to their great potential in neurological rehabilitation. However, the controllable instruction set limits its application in dail…

脑机接口中高频稳态视觉诱发电位的识别研究 Open

Ruixin Luo, Xinyi Dou, Xiaolin Xiao, Qiaoyi Wu, Minpeng Xu , et al. · 2023

Coding with high-frequency stimuli could alleviate the visual fatigue of users generated by the brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). It would improve the comfort and safety of the system and…

Investigating EEG-based cross-session and cross-task vigilance estimation in BCI systems Open

Kangning Wang, Shuang Qiu, Wei Wei, Weibo Yi, Huiguang He , et al. · 2023

Objective . The state of vigilance is crucial for effective performance in brain-computer interface (BCI) tasks, and therefore, it is essential to investigate vigilance levels in BCI tasks. Despite this, most studies have focused on vigila…

[Research on phase modulation to enhance the feature of high-frequency steady-state asymmetric visual evoked potentials]. Open

Wei Zhao, Lichao Xu, Xiaolin Xiao, Weibo Yi, Yuanfang Chen , et al. · 2023

High-frequency steady-state asymmetric visual evoked potential (SSaVEP) provides a new paradigm for designing comfortable and practical brain-computer interface (BCI) systems. However, due to the weak amplitude and strong noise of high-fre…

Decoding and synthesizing tonal language speech from brain activity Open

Yan Liu, Zehao Zhao, Minpeng Xu, Haiqing Yu, Yanming Zhu , et al. · 2023

Recent studies have shown that the feasibility of speech brain-computer interfaces (BCIs) as a clinically valid treatment in helping nontonal language patients with communication disorders restore their speech ability. However, tonal langu…

A novel visual brain-computer interfaces paradigm based on evoked related potentials evoked by weak and small number of stimuli Open

Xiaolin Xiao, Runyuan Gao, Xiaoyu Zhou, Weibo Yi, Fangzhou Xu , et al. · 2023

Introduction Traditional visual Brain-Computer Interfaces (v-BCIs) usually use large-size stimuli to attract more attention from users and then elicit more distinct and robust EEG responses, which would cause visual fatigue and limit the l…

Modulation of rhythmic visual stimulation on left–right attentional asymmetry Open

Rong Li, Minpeng Xu, Jia You, Xiaoyu Zhou, Jiayuan Meng , et al. · 2023

The rhythmic visual stimulation (RVS)-induced oscillatory brain responses, namely steady-state visual evoked potentials (SSVEPs), have been widely used as a biomarker in studies of neural processing based on the assumption that they would …

Minpeng Xu YOU? Author Swipe