基于神经信号的呼吸运动跟踪:一个概念验证研究
Xiangbin Zhang1, Wenjie Liu2, Feng Xu3
1Radiotherapy Physics and Technology Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Physics in medicine and biology
|September 8, 2023
概括
通过脑电图 (EEG) 检测到的神经信号平均在0.68秒之前的呼吸运动. 这一发现为医疗程序中实时呼吸运动跟踪提供了一个有希望的解决方案.
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.
- 医学物理 医学物理
背景情况:
- 精确的呼吸运动跟踪对于胸腔腹腔放射治疗和机器人手术至关重要.
- 传统的基于成像的技术存在系统延迟,影响治疗的精度.
- 需要先进的方法来克服这些时间滞后.
研究的目的:
- 为了研究与呼吸相关的神经信号的前体时间.
- 分析使用神经信号用于呼吸运动跟踪的潜力.
- 为了解决当前医疗技术中的系统延迟问题.
主要方法:
- 从18名健康志愿者同时获取神经信号 (256通道EEG) 和呼吸运动.
- 使用MNE Python预处理EEG数据以提取与呼吸相关的神经信号.
- 交叉相关性分析以确定前体时间和相关系数.
主要成果:
- 通过非侵入性EEG检测到与呼吸有关的神经信号,该EEG可以在实际呼吸运动之前检测到.
- 这些神经信号的平均前体时间为0.68秒.
- 交叉相关系数在0.22到0.87之间,表明存在显著的关系.
结论:
- 神经信号显示在医学线性加速器和外科手术机器人中有可能弥补系统延迟.
- 基于神经信号的呼吸运动跟踪是提高准确性的有希望的解决方案.
- 这种方法可以显著有利于胸腔腹腔放射治疗和机器人手术.
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