基于PPG形态特征的脉冲到达时间和PPG形态特征的定量分析:糖尿病和非糖尿病组之间的比较研究
Seongryul Park1, Seungjae Lee2, Eunkyoung Park3
1Department of Electronic Engineering, Hanyang University, Seoul, 04763 South Korea.
Biomedical engineering letters
|October 24, 2023
概括
糖尿病疾病显著影响使用脉冲到达时间 (PAT) 和PPG特征的无袖血压估计. 不同的血管特性需要量身定制的模型来准确监测糖尿病患者的血压.
科学领域:
- 生物医学工程 生物医学工程
- 心血管研究研究心血管研究
- 医疗信息学 医疗信息学
背景情况:
- 使用脉冲到达时间 (PAT) 和光斑血压 (PPG) 形态特征的无袖血压 (BP) 估计正在引起人们的兴趣.
- 糖尿病等疾病对这些BP估计方法的影响尚不清楚.
研究的目的:
- 用PAT和PPG形态特征量化分析糖尿病对血压估计的影响.
- 为了比较糖尿病人和非糖尿病人的血压估计表现.
主要方法:
- 利用了来自VitalDB的112名糖尿病患者和308名非糖尿病患者的数据.
- 提取了16个特征,包括PAT,PPG形态特征和心率.
- 采用线性回归模型来比较BP估计性能和组之间的特征重要性.
主要成果:
- 基于PAT的血压估计在糖尿病组中显示出明显更高的误差 (标准偏差和平均绝对误差) (p < 0.01).
- 一组PAT和PPG形态特征的组合特征组在两组中产生了最佳的BP估计性能.
- 对于血压估计的特征的相对重要性在糖尿病和非糖尿病受试者之间有显著差异.
结论:
- 糖尿病疾病改变了血管特征,影响了无袖式血压估计的准确性.
- 对血压估计的最佳特征集根据个体血管特性而有所不同.
- 疾病特异型模型对于在不同患者群体中准确无袖血压监测至关重要.
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