多会话fNIRS-EEG关于中风后运动恢复的数据. 在完整和的手动中进行录音
Alexandra Medvedeva1, Nikolay Syrov2, Lev Yakovlev2,3
1Center for Bio- and Medical Technologies, Skolkovo Institute of Science and Technology, Moscow, Russia. aleksandramedvedeva206@gmail.com.
Scientific data
|February 13, 2026
概括
这项研究引入了一个新的开放访问数据集,即在康复期间从中风幸存者的同时功能近红外光谱 (fNIRS) 和电脑电图 (EEG) 记录. 这个资源有助于研究中风恢复和脑计算机接口.
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
- 康复医学 康复医学 康复医学
背景情况:
- 脑卒中恢复需要准确的诊断和监测.
- 脑血流受损是中风的一个关键特征.
- 功能性近红外光谱学 (fNIRS) 和电脑电图 (EEG) 提供了对大脑功能和血液动力学的洞察.
研究的目的:
- 为了呈现一个新的,开放的纵向数据集,同时fNIRS和EEG记录在中风后的患者.
- 促进对中风恢复机制和神经康复策略的研究.
- 支持基于fNIRS的大脑计算机接口 (BCI) 的开发.
主要方法:
- 从16名中风后患者同时获取fNIRS和EEG数据.
- 记录了84个康复课程的录音,包括用手和手完好无损的运动任务.
- 包括原始和加工信号,临床分数 (ARAT,Fugl-Meyer) 和患者人口统计数据.
主要成果:
- 现在科学界可以获得一个全面的数据集.
- 这些数据捕捉了中风幸存者的运动任务期间的神经和血管反应.
- 该数据集使得中风恢复轨迹的详细分析成为可能.
结论:
- 这一数据集是推动中风研究的宝贵资源.
- 它支持在神经康复中对多式联络神经成像的研究.
- 这种开放的数据促进了对中风患者的大脑计算机接口开发的创新.
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