使用数字导航和步态测量早期发现导致痴呆的疾病:对证据的系统审查
Giedrė Čepukaitytė1, Coco Newton1, Dennis Chan1
1Institute of Cognitive Neuroscience, London, UK.
概括
可穿戴技术可以通过测量导航和步行来帮助早期发现痴呆症. 本次审查确定了使用这些数字工具识别患神经退行性疾病风险的个人的证据.
科学领域:
- 神经科学是一个神经科学.
- 数字健康数字健康
- 老年学是一门学科.
背景情况:
- 早期发现导致痴呆的疾病对于及时干预至关重要.
- 当前的诊断方法可能无法充分捕捉微妙的,早期的行为变化.
- 可穿戴的数字技术为日常行为进行持续,客观的测量提供了潜力.
研究的目的:
- 系统地审查使用可穿戴技术测量痴呆风险人群的导航和步态的证据.
- 确定特定的行为措施和数字量化方法,用于早期发现疾病.
- 建立一个框架,用于评估痴呆症研究中的数字行为指标.
主要方法:
- 根据系统审查和元分析 (PRISMA) 准则的首选报告项目进行了两次系统审查.
- 在PubMed和Web of Science中搜索了关于无症状和早期痴呆风险的研究.
- 使用纽卡斯尔-太华尺度评估研究偏差和方法质量.
主要成果:
- 包括27项关于导航的研究和83项关于步态的研究,分别来自316年和2086年的初始记录.
- 确定了几种可量化的导航和步态指标,这些指标可能表明痴呆风险增加.
- 突出了各种设备测量这些行为的潜力,减少了技术过时的风险.
结论:
- 穿戴式数字技术通过导航和步态分析显示出早期痴呆症检测的前景.
- 对这些行为进行量化的数字测量可以识别有风险的个人.
- 这一综述为未来对痴呆症数字行为标记的研究提供了基础.
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