研究肺动脉压力与心脏门振动声音之间的关系,基于模拟循环
Jiachen Mi1,2, Zehang Zhao1, Hongkai Wang1
1School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian 116024, China.
Bioengineering (Basel, Switzerland)
|August 26, 2023
概括
这项研究将心脏膜振动声音与肺动脉血压联系起来,为检测肺高血压 (PH) 提供了一种新的非侵入性方法. 门声音准确地估计了肺动脉关键压力参数.
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
- 医学声学 医学声学
背景情况:
- 心脏关闭振动是心脏机械活动的关键指标.
- 肺高血压 (PH),通常是由远端肺动脉狭窄引起的,对健康构成重大风险.
- 对于PH的非侵入性检测方法是非常理想的.
研究的目的:
- 为了研究心脏膜振动声音和肺动脉血压之间的关系.
- 探索使用门声音用于非侵入性PH检测的潜力.
- 开发一种模型,用门振动来估计肺动脉压力参数.
主要方法:
- 建立了一个肺循环模拟循环,可调节远部血管阻力,以模拟不同的肺动脉压力.
- 同步测量肺动脉血压,右心室血压和肺/三门振动声音.
- 从门声音中提取时间和频率域特征,并使用神经网络和深度学习模型来估计压力.
主要成果:
- 随着肺动脉压力的变化,观察到门声音的振幅,能量和频率特征的显著变化.
- 逆向传播神经网络和深度学习模型都成功地从门振动声音中估计了肺动脉压力参数.
- 该研究表明,门声特征与肺动脉压力之间存在强烈的相关性.
结论:
- 心脏膜振动的声音包含了评估肺动脉血压的宝贵信息.
- 使用门声音对肺动脉压力参数进行非侵入性估计是可行的.
- 这种方法对肺高血压的早期和非侵入性诊断具有前景.
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