• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals
【2h】

Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals

机译：致力于半自动伪影剔除以改善通过脑电信号筛查阿尔茨海默氏病的方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A large number of studies have analyzed measurable changes that Alzheimer’s disease causes on electroencephalography (EEG). Despite being easily reproducible, those markers have limited sensitivity, which reduces the interest of EEG as a screening tool for this pathology. This is for a large part due to the poor signal-to-noise ratio of EEG signals: EEG recordings are indeed usually corrupted by spurious extra-cerebral artifacts. These artifacts are responsible for a consequent degradation of the signal quality. We investigate the possibility to automatically clean a database of EEG recordings taken from patients suffering from Alzheimer’s disease and healthy age-matched controls. We present here an investigation of commonly used markers of EEG artifacts: kurtosis, sample entropy, zero-crossing rate and fractal dimension. We investigate the reliability of the markers, by comparison with human labeling of sources. Our results show significant differences with the sample entropy marker. We present a strategy for semi-automatic cleaning based on blind source separation, which may improve the specificity of Alzheimer screening using EEG signals.
机译：大量研究已经通过脑电图（EEG）分析了阿尔茨海默氏病引起的可测量变化。尽管这些标记易于复制，但它们的敏感性有限，这降低了脑电图作为该病理学筛查工具的兴趣。这在很大程度上是由于EEG信号的信噪比很差：EEG录音的确通常会因伪造的脑外伪影而损坏。这些伪像导致信号质量的下降。我们研究了自动清除从阿尔茨海默氏病患者和年龄匹配的健康对照者那里收集的EEG记录数据库的可能性。我们在这里介绍了对EEG伪影的常用标记的调查：峰度，样本熵，过零率和分形维数。我们通过与人工标记来源进行比较来研究标记的可靠性。我们的结果表明与样本熵标记存在显着差异。我们提出了一种基于盲源分离的半自动清洁策略，该策略可以提高使用EEG信号进行阿尔茨海默病筛查的特异性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号