论文标题
脑电图处理的简短摘要
A Brief Summary of EEG Artifact Handling
论文作者
论文摘要
由于技术能力的进步，脑电图（EEG）的应用最近已扩展到实验室和诊所。脑电图有各种优势，使其成为广泛应用的最佳方法；这是一种无创方法，它是便携式的，它提供了良好的时间分辨率和足够的空间分辨率，此外还有低成本的EEG系统可用于商业用途。自EEG早期使用以来，主要是对疾病和病理的监测，睡眠分期和与事件相关的潜在研究，因此它与我们称为文物的不希望的信号类型交织在一起。这些在基于脑电图的方法的实践中构成了巨大的挑战，例如用于监测和诊断疾病的平均方法，以及用于在脑部计算机界面中相对较新的应用的单审信号分析。但是，已经开发了许多技术并正在研究，以更好地检测和缓解这些不良事件。本简要摘要讨论了主要的人工类型及其处理。
The applications of Electroencephalogram (EEG) have been extended to out of laboratory and clinics recently due to the advancements in the technical capabilities. There are various advantageous of EEG, making it a preferable method for a wide range of applications; it is a noninvasive method, it is portable, it offers good time resolution and sufficient spatial resolution, besides there are low cost EEG systems available for a commercial use. Since the early uses of EEG, mainly as monitoring of diseases and pathologies, sleep staging and event related potential researches, it has been intertwined with undesired signal types which we call as artifacts. These pose great challenges in the practice of EEG based methods such as averaging for monitoring and diagnosis of diseases, and single-trial signal analysis for a relatively recent application in brain-computer interfaces. However, many techniques have been developed and under study for better detection and mitigation of these adverse events. The main artifact types and their handling are discussed in this brief summary.
