在检测轻度认知障碍的可穿戴EEG设备:一个系统的审查
Chanchan He1, Xiru Yu1, Yuhe Zhang2
1School of Biomedical Engineering, Tsinghua University, Beijing, China.
NPJ digital medicine
|February 6, 2026
概括
可穿戴式脑电图 (EEG) 系统显示出对轻度认知障碍 (MCI) 查的前景. 优化设备设计和方法是准确,可访问的认知衰退早期检测的关键.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 老年学是一门学科.
背景情况:
- 可穿戴式脑电图 (EEG) 为轻度认知障碍 (MCI) 查提供了可访问的长期大脑监测.
- 在MCI检测中,可穿戴EEG的当前性能和现实应用挑战需要全面评估.
研究的目的:
- 系统地评估可穿戴EEG用于MCI检测.
- 确定优化分类性能和可用性的关键因素.
- 为有效的MCI选解决设计实施缺口.
主要方法:
- 在七个数据库中进行系统的文献搜索,选了1562条记录.
- 分析了21项涉及16种不同的可穿戴EEG设备用于MCI检测的研究.
- 对可穿戴EEG组件和数据流的系统级分析.
主要成果:
- 在不同研究中,分类准确性差异很大 (46-95%).
- 确定了七个关键因素,以优化诊断性能,可移植性和可负担性.
- 未来研究的方法建议包括标准化框架,多样化的样本和现实世界的验证.
结论:
- 可穿戴式EEG具有早期MCI检测的巨大潜力,但需要优化设计和标准化的方法.
- 关键因素包括适度的通道密度,特定的电极放置,用户友好的任务,自适应处理,集体分类器和多式联通集成.
- 解决方法上的差距将有助于将早期认知障碍查转化到社区和初级保健机构.
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