使用补充信号处理技术,对光聚发电图信号进行高级波形分析,以提取心血管功能生物标志物
Aristide Jun Wen Mathieu1, Miquel Serna Pascual2, Peter H Charlton3
1Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, London, UK.
JRSM cardiovascular disease
|February 5, 2024
概括
信任点分析和对称投影吸引器重建从光电脉冲图 (PPG) 信号中提取心血管洞察力. 这些方法分类年龄和身体活动,但不分类性别,为健康监测提供了潜力.
科学领域:
- 生物医学工程 生物医学工程
- 心血管生理学心血管生理学
- 信号处理 信号处理
背景情况:
- 来自可穿戴设备的光电图 (PPG) 信号提供了不仅仅是心率和血氧和度.
- 从PPG中提取更深层次的心血管洞察力需要先进的信号处理.
研究的目的:
- 为了比较信任点分析和对称投射吸引器重建 (SPAR) 来从PPG信号中提取心血管信息.
- 从这些方法中识别能够根据年龄,性别和身体活动对PPG信号进行分类的指数.
主要方法:
- 使用了三个数据集:模拟的PPG,健康受试者的体内记录和单个个体的长期记录.
- 应用信托点分析和SPAR技术来提取和分析信号指数.
- 评估了确定指数的表现,根据年龄,性别和身体活动水平对参与者进行分类.
主要成果:
- 与缩增强,腹缩峰值和波形变异性相关的关键指数在数据集中一致.
- 信用点分析和SPAR指数都有效地支持了年龄和体育活动的分类.
- 两种技术都没有证明对按性别分类参与者的有用性.
结论:
- 信托点分析和SPAR对于识别个人随时间变化的心血管差异是有价值的.
- 这些技术在评估医疗保健决策的适应性和疾病方面显示出未来应用的前景.
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