• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2013 Biomedical Sciences and Engineering Conference >Scalp EEG signal reconstruction for detection of mild cognitive impairment and early Alzheimer's disease
【24h】

Scalp EEG signal reconstruction for detection of mild cognitive impairment and early Alzheimer's disease

机译：头皮脑电信号重建，用于检测轻度认知障碍和早期阿尔茨海默氏病

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Mild cognitive impairment (MCI) is a neurological disease which is often comorbid with early stages of Alzheimer's disease (AD). This study explores the potential for detecting changes in neurological functional organization which may be indicative of MCI and early AD using neural network models for scalp EEG signal reconstruction. Resting 32-channel EEG records from 48 age-matched participants (mean age 75.7 years)—15 normal controls (NC), 16 MCI, and 17 early-stage AD—are examined. Neural network models are trained to reconstruct artificially “deleted” samples of EEG using subsets of records from NC participants. Models are applied to EEG records and quality scores are assigned to reconstructions of individual channels. Principal components of regional average reconstruction quality scores are used in a support vector machine model to discriminate between groups. Analyses demonstrate accuracies of 90.3% for MCI vs. NC (p-value<0.0005), 90.6% for AD vs. NC (p-value<0.0003), and 87.5% for AD/MCI vs. NC (p-value<0.0003). Techniques developed here may be used to detect changes in EEG activity due to neurological degeneration associated with MCI and early AD.
机译：轻度认知障碍（MCI）是一种神经系统疾病，通常与阿尔茨海默氏病（AD）的早期阶段并存。这项研究探索了使用神经网络模型重建头皮EEG信号来检测神经功能组织变化的潜力，这可能表明MCI和早期AD。检查了来自48位年龄相匹配的参与者（平均年龄75.7岁）的静息32通道EEG记录-15名正常对照（NC），16名MCI和17名早期AD。训练了神经网络模型，以使用来自NC参与者的记录子集来人工重构“删除”的EEG样本。将模型应用于EEG记录，并将质量得分分配给单个通道的重建。在支持向量机模型中使用区域平均重建质量得分的主要成分来区分群体。分析表明，MCI与NC的相对准确度为90.3％（p值<0.0005），AD与NC的相对准确度为90.6％（p值<0.0003），AD / MCI与NC相对的准确度为87.5％（p值<0.0003） ）。本文开发的技术可用于检测由于与MCI和早期AD相关的神经退行性变而导致的EEG活性变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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