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

Eye-tracking metrics as a new tool to assess patient's adherence to robot-assisted gait training.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Assessing short- and medium-term fluctuations of EEG spectral content in Minimally Conscious State patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Graph Signal Processing as a tool for mitigating the impact of spatial blurring in EEG-based neuroelectrical imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

When losing hurt together: investigating the role of Empathy during a card game by EEG Hyperscanning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Impact of latency jitter correction on offline P300-based classification: a preliminary study for BCI applications in MCS patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Quantification of the spontaneous emergence of leader-follower dynamics in EEG hyperscanning data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

相关实验视频

Updated: Sep 16, 2025

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

1.5K

混合大脑计算机接口为基础的康复 解决中风后不适应的运动模式

J Toppi, G Savina, E Colamarino

    IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
    |July 11, 2025
    PubMed
    概括

    混合脑电脑接口 (hBCI) 通过整合大脑和肌肉信号来改善中风康复. 这项研究表明,hBCI控制的功能电刺激 (FES) 有效地减少了不正常的运动模式,如中风后的性.

    科学领域:

    • 神经科学是一个神经科学.
    • 康复医学 康复医学 康复医学
    • 生物医学工程 生物医学工程

    背景情况:

    • 卒中幸存者经常经历不适应的运动模式,包括异常的并发作和性,对运动恢复产生负面影响.
    • 混合脑电脑接口 (hBCI) 通过将大脑活动与四肢功能联系起来,为运动康复提供了一个有希望的途径.
    • 在治疗中风后特定的不适应性运动模式方面,hBCI的有效性仍未得到充分研究.

    研究的目的:

    • 评估一个月的hBCI控制的功能电刺激 (FES) 干预对中风患者皮质肌肉连贯 (CMC) 模式的影响.
    • 评估hBCI-FES在缓解适应不良运动机制,如和异常并发症等方面的潜力.
    • 研究CMC模式的变化,作为运动恢复和减少异常肌肉活动的指标.

    主要方法:

    • 脑卒中患者接受了为期1个月的康复计划,使用hBCI控制的FES.
    • 在干预期之前和之后测量了皮层-肌肉连贯性 (CMC).
    • 在hBCI-FES系统中包含了一个模块,用于在治疗期间监测非生理运动模式.

    主要成果:

    • 干预后观察到CMC模式的显著改善,这表明大脑肌肉通信得到了增强.
    • 治疗hBCI-FES的疗法在减少不适应性运动机制,包括性和异常并发症方面表现出有效性.

    更多相关视频

    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

    838
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.5K

    相关实验视频

    Last Updated: Sep 16, 2025

    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

    1.5K
    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

    838
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.5K
  • 由hBCI系统促进的患者定制干预措施有助于缓解异常运动模式.
  • 结论:

    • 控制hBCI的FES是一种有效的辅助技术,用于中风后的运动康复.
    • 这种方法成功地准并减少不适应的运动模式,改善运动结果.
    • hBCI技术可以实现个性化康复策略,以解决中风幸存者的特定运动缺陷.