基于动脉0D-1D模型的个性化无袖血压测量,带有动脉流和辐射脉冲
概括
这项研究引入了一种新的无袖血压 (BP) 模型,使用合的动脉信号进行个性化高血压管理. 创新的0D-1D模型整合了中央和外围心血管数据,提高了BP估计的准确性.
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
- 医疗器械 医疗器械
背景情况:
- 高血压管理对于预防心血管疾病至关重要.
- 无袖式血压 (BP) 监测使用光电脉冲图 (PPG) 信号显示出希望,但由于单个局部数据,面临着泛化挑战.
- 目前基于PPG的BP估计通常缺乏个性化,并与个体变异性作斗争.
研究的目的:
- 开发一个个性化的无袖血压估计模型.
- 整合中央和外周心血管信息,以提高血压测量的准确性.
- 为了验证合的动脉0D-1D模型用于手臂血压估计.
主要方法:
- 提出了一种结合的动脉0D-1D模型,其中包含动脉血流和放射性动脉PPG信号.
- 利用了代表中央和外围心血管动态的多式联络信号.
- 在脉冲波数据集上验证了模型,包括4374个样本.
主要成果:
- 达到的平均误差为1.39 ± 2.53 mmHg对于静心血压和-0.47 ± 2.39 mmHg对于心心血压.
- 与传统的机器学习模型 (如决策树和随机森林) 相比,表现出更高的性能.
- 0D-1D模型有效地集成了多式联络信号和血液流通路径信息,用于个性化血压测量.
结论:
- 合动脉0D-1D模型为准确和个性化的无袖血压估计提供了一个有希望的方法.
- 整合中央和外围心血管数据可以提高血压监测的概括性和可靠性.
- 这项技术有可能彻底改变高血压管理和心血管疾病预防.
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