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

Comparative Seizure Outcomes of Vagus Nerve Stimulation, Deep Brain Stimulation, and Their Combination in Lennox-Gastaut Syndrome.

Annals of neurology·2026
Same author

Thalamocortical seizure onset patterns in drug-resistant focal epilepsy.

Brain communications·2026
Same author

Ultrafast oscillations in the human brain and their functional significance.

Epilepsia·2026
Same author

A RAPID PROTOTYPING ENVIRONMENT FOR CLOSED-LOOP NEUROMODULATION USING THE BRAIN INTERCHANGE SYSTEM.

Proceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference·2026
Same author

Overnight sleep features and next-morning brain metabolism in older adults.

Sleep medicine·2026
Same author

Kainic acid pig model of hippocampal epilepsy.

Scientific reports·2026

相关实验视频

Updated: Jun 5, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

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

Published on: July 26, 2013

43.3K

一个同步的iEEG数据采集框架用于双大脑交换系统.

Amir Hossein Ayyoubi1,2, Behrang Fazli Besheli1, Chandra Prakash Swamy1

  • 1Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.

The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems
|December 5, 2024
PubMed
概括

这项研究引入了同步双脑交换 (BIC) 系统的新框架,将数据采集改进到64个道. 该系统将同步延迟降至5毫秒,确保高准确度的脑内EEG (iEEG) 记录.

关键词:
在BIC BIC中,我们可以看到.双大脑交换记录 记录 记录 记录形尖刺检测检测器 形尖刺检测器神经数据采集神经数据采集欧洲的电力.

更多相关视频

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.1K
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K

相关实验视频

Last Updated: Jun 5, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

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

Published on: July 26, 2013

43.3K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.1K
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K

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
  • 信号处理 信号处理

背景情况:

  • 同步数据采集对于先进的大脑交换 (BIC) 系统至关重要.
  • 现有系统在道容量和同步精度方面面临挑战.
  • 与临床系统同时记录内EEG (iEEG) 需要强大的框架.

研究的目的:

  • 开发和评估用于同步双BIC系统的新型数据采集框架.
  • 将数据记录能力扩大到64个频道.
  • 为了最大限度地减少后同步延迟,并确保iEEG分析的高信号质量.

主要方法:

  • 使用Simulink模型与主时钟进行同步和电子邮件警报.
  • 实现调整主时钟分辨率和数据缓冲区大小,以减少同步错误.
  • 估计单位采样频率,以提高准确性.
  • 为最佳信号质量配置了地面和参考连接.
  • 在双系统运行中研究频率干扰效应.

主要成果:

  • 实现了最多 64 个频道的数据采集能力.
  • 降低了后同步延迟,从38ms降低到5ms.
  • 在双BIC和临床脑内EEG (iEEG) 记录之间显示出超过95%的相似性.
  • 确定了信号完整性的最佳地面和参考配置.

结论:

  • 开发的框架显著增强了同步双双BIC系统的能力.
  • 该框架可实现精确,高保真的iEEG记录,同步错误最小.
  • 这一进步支持在复杂的记录场景中更可靠地分析神经活动.