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相关实验视频

Updated: Jun 8, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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运动工件受污染的多通道EEG数据集.

Sheikh Farhana Binte Ahmed1, Md Ruhul Amin1, Md Kafiul Islam2

  • 1Islamic University of Technology, Gazipur, Bangladesh.

Data in brief
|November 4, 2024
PubMed
概括

这项研究引入了一个新的开放访问数据集,该数据集是带有运动工件的脑电图 (EEG) 记录. 该资源旨在通过研究物件移除技术来推动可穿戴EEG设备的发展.

科学领域:

  • 生物医学工程 生物医学工程
  • 神经科学是一个神经科学.
  • 信号处理 信号处理

背景情况:

  • 穿戴式脑电图 (EEG) 在门诊环境中易受运动工件的影响.
  • 缺乏开放访问的数据集阻碍了强大的可穿戴EEG应用程序的开发,以删除文物.
  • 运动器件会污染EEG信号,使分析复杂化,并降低大脑活动测量的可靠性.

研究的目的:

  • 提出一个新的,多通道EEG记录的开放访问数据集.
  • 在各种物理运动期间捕获EEG数据,以模拟现实世界的门诊条件.
  • 促进关于检测和减轻可穿戴EEG运动工件的研究.

主要方法:

  • 从使用EMOTIV EPOCH耳机的单个健康男性受试者中记录了14个频道的EEG数据.
  • 收集了各种身体上部,下部和全身运动的数据,包括眼睛和头部运动,行走以及坐在和站立之间的过渡.
  • 使用MATLAB进行数据可视化和从CSV转换为.mat格式,包括运动传感器数据.

主要成果:

  • 成功生成了EEG和运动传感器记录的全面数据集.
  • 该数据集包括与门诊EEG场景相关的各种运动工件.
  • 数据结构易于访问和分析,有14个EEG频道和9个运动数据频道.
关键词:
健行式的EEG电流系统数据集数据集数据集电脑电图/电脑电图 (EEG)人类的物理运动是人类的物理运动.移动电动电动电源 (EEG) 的使用情况.运动文物 运动文物可以穿戴的EEG电图.

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结论:

  • 提出的开放访问数据集是科学界的宝贵资源.
  • 它将加速用于可穿戴EEG的先进信号处理算法的开发.
  • 这一数据集支持旨在提高移动脑电脑接口的准确性和可用性的研究.