Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

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

Ultra-flexible wireless endovascular stimulator for cortical simulation.

Journal of neural engineering·2026

Same author

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026

Same author

Investigation of stress hormones across multiday seizure cycles.

Brain communications·2026

Same author

Toward a fully wireless endovascular neural interface: Evaluating power transfer efficacy.

PloS one·2026

Same author

"Getting to diagnosis was an absolute nightmare": survey insights about the lived experience of spinal CSF leak in Australia and Aotearoa New Zealand.

Journal of neurology·2026

Same author

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Search research articles

相关实验视频

Updated: Jun 2, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

解码多发性硬化症患者的想象运动,用于大脑与计算机界面的翻译.

John S Russo¹, Thomas A Shiels², Chin-Hsuan Sophie Lin³

¹Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.

Journal of neural engineering

|January 14, 2025

概括

这项研究表明,脑计算机接口 (BCI) 可以解码多发性硬化症 (MS) 患者的想象运动. 这为控制设备和帮助MS患者康复提供了一种新的方式.

关键词:

大脑机器界面是大脑机器界面.大脑计算机接口电脑脑电图 (EEG) 是一种电脑电图.多发性硬化症多发性硬化症

更多相关视频

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

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

Published on: September 1, 2023

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

相关实验视频

Last Updated: Jun 2, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

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

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

Published on: September 1, 2023

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

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
康复科学康复科学康复科学

背景情况:

多发性硬化症 (MS) 是一种中枢神经系统疾病,导致疲劳和肢体损伤,影响生活质量.
目前在MS中的脑电脑接口 (BCI) 研究主要集中在P300反应或尝试运动信号上.
有限的研究存在于解码MS个体的想象运动.

研究的目的:

研究使用电脑电图 (EEG) 在MS患者中解码想象的运动的可行性.
为了比较BCI在MS个体与神经类型对照中的表现.
为了确定有效的频段和延迟来解码运动图像在MS.

主要方法:

收集了8名患有MS的参与者和10名神经类型对照者的EEG数据.
参与者在"去不去"协议下进行了想象中的手和脚的动作.
将想象的动作与静止的动作以及使用正则化线性差异分析对其他动作进行分类.

主要成果:

在所有MS参与者中,想象的运动与休息的分类准确度超过了70%.
在MS参与者和对照者之间没有发现分类准确性的显著差异.
能够解码的信息在阿尔法和β频段中被识别出来,这两个群体的延迟时间相似.

结论:

这项研究表明,使用BCI在MS患者中解码想象中的运动的可行性.
基于运动图像的BCI为MS提供了基于P300的BCI的潜在替代方案.
这些发现支持进一步研究用于MS康复和管理疾病进展的BCI.