Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 8, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.5K

从大脑信号重建多次冲击的字符到可概括的手写大脑-计算机接口.

Xiaomeng Yang, Xinzhu Xiong, Xufei Li

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |November 6, 2024
    PubMed
    概括

    这项研究介绍了一种新的中文手写脑电脑接口 (BCI) 系统. 它从大脑信号中解码多次冲击轨迹,在可识别的字符中达到86%的准确性.

    相关概念视频

    您也可能阅读

    相关文章

    通过共同作者、期刊和引用图与本文相关的文章。

    排序
    Same author

    A Concise Method to Predict the Mean Dynamic Pressure on a Plunge Pool Slab.

    Entropy (Basel, Switzerland)·2022
    Same author

    Nitrogen reduction reaction on single cluster catalysts of defective PC<sub>6</sub>-trimeric or tetrameric transition metal.

    Physical chemistry chemical physics : PCCP·2022
    Same author

    Analysis of Related Factors of Tumor Recurrence or Progression After Transnasal Sphenoidal Surgical Treatment of Large and Giant Pituitary Adenomas and Establish a Nomogram to Predict Tumor Prognosis.

    Frontiers in endocrinology·2021
    Same author

    A retrospective study of electroencephalography burst suppression in children undergoing general anesthesia.

    Pediatric investigation·2021
    Same author

    Transcription factor GTF2B regulates AIP protein expression in growth hormone-secreting pituitary adenomas and influences tumor phenotypes.

    Neuro-oncology·2021
    Same author

    Enormous-sulfur-content cathode and excellent electrochemical performance of Li-S battery accouched by surface engineering of Ni-doped WS<sub>2</sub>@rGO nanohybrid as a modified separator.

    Journal of colloid and interface science·2021

    科学领域:

    • 神经科学是一个神经科学.
    • 生物医学工程 生物医学工程
    • 人与计算机的交互

    背景情况:

    • 大脑-计算机接口 (BCI) 为患者提供沟通服务.
    • 现有的英语手写BCI与复杂的多动作字符作斗争.
    • 由于其复杂性和中风数量,中文字符面临着重大挑战.

    研究的目的:

    • 开发一种能够重建多冲击轨迹的中国手写BCI系统.
    • 解码与笔写和笔举相相关的神经信号.
    • 为了提高BCI对复杂字符集的适应性.

    主要方法:

    • 在手写任务期间记录来自运动皮质的皮质神经信号.
    • 开发了一种脑中风意识的方法来单独解码脑中风写作和笔举动.
    • 利用大脑信号重建多次中文字符轨迹.

    主要成果:

    • 识别了不同的神经表征,用于笔记和笔举阶段.
    • 从大脑信号 (400个字符集) 中重建可识别的中文字符的准确率达到了86%.
    • 在5个月的时间内证明了高系统稳定性.

    结论:

    更多相关视频

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
    09:42

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

    Published on: September 1, 2023

    1.1K
    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
    06:11

    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

    Published on: April 18, 2025

    259

    相关实验视频

    Last Updated: Jun 8, 2025

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
    05:58

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

    Published on: March 11, 2021

    4.5K
    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
    09:42

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

    Published on: September 1, 2023

    1.1K
    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
    06:11

    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

    Published on: April 18, 2025

    259
    • 提出的脑中风感知方法有效地从神经信号中重建多次脑中风手写的轨迹.
    • 这种BCI系统对麻的用户提供了通用和适应性的沟通有希望.
    • 这些发现为支持复杂写作系统的先进BCI铺平了道路.