Mobile electroencephalography

脑电图（EEG）是一种评估大脑活动的工具。它通过放置在头皮上的许多专门的传感器来记录大脑中同步神经元的电活动。虽然脑电图相对便宜，重量轻，并且可以设计为便携性，但这项技术非常容易受到与头部和电缆相关的运动，磁干扰以及来自上身肌肉活动的其他电信号的影响。CTF MEG是一家设计和制造测量大脑活动设备的公司，该公司希望开发一种移动脑电图系统，可以在各种运动中使用，比如走路。CTF MEG在传感器设计和信号处理软件算法方面拥有专业知识，但问题是该公司没有专业知识或能力来量化运动。西蒙弗雷泽大学的丹·玛丽戈尔德博士的研究团队在理解和量化行走的神经控制方面拥有专业知识。在这个合作项目中，我们将确定在一系列运动任务中，与头部和电缆相关的运动和上身肌肉活动如何影响脑电图传感器检测到的信号质量。这将允许CTF MEG开发新的传感器和复杂的软件算法来处理这些信号污染源。这项工作有可能为基础研究（例如，大脑在控制行走中的作用）提供新的研究途径，也有可能为临床诊断（例如，脑震荡）提供技术进步。

Electroencephalography (EEG) is a tool used to assess brain activity. It records the electrical activity of**synchronized neurons in the brain through a multitude of specialized sensors placed on the scalp. Although**EEG is relatively cheap, lightweight, and can be designed for portability, this technology is highly susceptible**to head- and cable-related motion, magnetic interference, and other electrical signals stemming from upper**body muscle activity. CTF MEG--a company that designs and manufactures devices to measure brain**activity--would like to develop a mobile EEG system that can be used during a variety of movements, such as**walking. CTF MEG has expertise in sensor design and software algorithms for signal processing, but the**problem is that the company does not have the expertise or capacity to quantify movement. Dr. Dan Marigold's**research team at Simon Fraser University has expertise in the understanding and quantification of the neural**control of walking. In this collaborative project, we will determine how head- and cable-related motion and**upper body muscle activity affect the quality of the signal detected by EEG sensors during a range of**movement tasks. This will allow CTF MEG to develop new sensors and sophisticated software algorithms for**dealing with these sources of signal contamination. This work has the potential to provide new avenues of**study in basic research (e.g., the role of the brain in the control of walking), as well as technological advances**for clinical diagnoses (e.g., concussion).