可解释且准确的曲线适配方法用于动脉脉冲波建模和分解
Zhendong Chen1, Bo Peng2,3, Yuqi Zhou4
1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China.
International journal for numerical methods in biomedical engineering
|September 23, 2023
概括
这项研究引入了对动脉脉冲波的改进数学模型,通过将其分解为生理学上显著的子信号来提高解释性. 新方法提供了更高的准确性,并将参数与关键的血液动力学特征联系起来.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
- 数学建模的数学建模
背景情况:
- 动脉脉冲波形提供了重要的心血管洞察力.
- 现有的数学模型缺乏物理意义,物理模型缺乏个性.
- 需要可解释和个性化的动脉脉冲波模型.
研究的目的:
- 为了提高动脉脉冲波的数学模型的解释性.
- 开发一种新的脉冲波分解方法,具有明显的生理学意义.
- 将模型参数与血液动力学特征和临床指数联系起来.
主要方法:
- 开发了通过生理参数赋值个性化的新三项合适功能.
- 利用反射和二波的峰值时间进行参数化.
- 进行了近1万次脉冲配合实验以验证该方法.
主要成果:
- 拟议的方法在适配准确性方面明显优于标准方法.
- 该模型成功地将脉冲波分解为具有生理意义的子信号.
- 从模型中得出的参数与血液动力学特征和外周增强指数 (pAI) 相对应.
结论:
- 新方法提高了动脉脉冲波模型的个性化和准确性.
- 通过将它们与生理和临床意义联系起来,可以实现更好的参数解释性.
- 这种方法对未来的脉冲波分解研究具有价值,其中包括血液动力学特征.
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