重新考虑 photoplethysmogram 在自由生活环境中的信号质量评估
Yan-Wei Su1, Chia-Cheng Hao2, Gi-Ren Liu3,4
1Department of Applied Mathematics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Physiological measurement
|May 22, 2024
概括
一个新的适应性非波模型 (ANHM) 提供了一种系统的方法来评估信号质量. 这种方法超越了视觉检查,在现实环境中改进了生物医学信号处理.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 生理学 生理学 生理学
背景情况:
- 评估生物医学信号质量至关重要,但缺乏精确的模型,特别是在自由生活条件下.
- 目前用于光聚体质谱 (PPG) 信号质量评估的方法往往是主观和不足的.
- 缺乏可靠的质量评估模型阻碍了可靠的生物医学信号处理.
研究的目的:
- 提出一种新的数学模型来评估PPG信号质量.
- 通过信号分解来探索PPG信号的结构性质.
- 倡导对生物医学应用中的信号质量进行修订理解.
主要方法:
- 使用自适应非和模型 (ANHM) 建模PPG信号.
- 应用分解算法来分析PPG信号结构.
- 利用在自由生活环境中记录的真实世界数据进行验证.
主要成果:
- 证明了在PPG分析中需要重新考虑信号质量的概念.
- 突出了信号质量和信号分解技术之间的联系.
- 展示了专家标记的高质量的PPG信号用于心率推导的潜在问题.
结论:
- 除了视觉检查之外,还需要一种新的,系统的PPG信号质量评估方法.
- 拟议的ANHM模型显示出开发一种基于分解的质量评估系统的前景.
- 先进的信号处理工具与ANHM相结合,可以提高PPG衍生指标的可靠性.
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