使用卡尔曼波器检测心脏事件的心率信息检测
Onur Selim Kilic1, Afra Nawar1, Cem Okan Yaldiz1
1School of Electrical and Computer Engineering, Georgia Institute of Technology, 85 5th St NW, Atlanta, 30308, GA, USA.
Computers in biology and medicine
|June 20, 2025
概括
一种新的卡尔曼波器方法 (HIKAF) 准确地检测大动脉的打开和关闭,使用心震图,即使有噪音. 这有助于在压力测试期间改善心血管监测,帮助早期发现心力衰竭.
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:
- 准确检测大动脉的打开 (AO) 和关闭 (AC) 对于评估心室性能至关重要.
- 地震心脏图 (SCG) 不侵入性地捕捉心脏机械活动,但易受噪声的影响,特别是在压力测试期间.
- 压力测试揭示了心血管异常,包括心力衰竭,在休息时不明显.
研究的目的:
- 开发一种可靠的方法来从SCG信号中检测AO和AC信任点.
- 提高SCG分析在噪音条件下和生理压力期间的可靠性.
- 通过改进监测,增强早期检测心血管疾病,如心力衰竭.
主要方法:
- 提出了一个基于卡尔曼波器的方法,心率告知卡尔曼波器 (HIKAF).
- 杆心率 (HR) 提高了SCG中AO和AC检测的稳定性.
- 在各种生理状态中进行了结构化实验,将HIKAF与现有方法进行比较.
主要成果:
- 对于AO和AC轮班,HIKAF与手册注释有显著的相关性 (Pearson的r=0.934和0.899).
- 该方法在识别心脏事件时间方面明显优于现有的算法.
- 在中度噪音条件下,HIKAF证明了其强度,并有效地适应动态心脏变化.
结论:
- 使用SCG,HIKAF提供了一种强大而准确的方法来检测使用SCG的AO和AC信托点.
- 该方法在改善不同环境中的实时心血管监测方面具有前景.
- 这种技术可以帮助早期识别心力衰竭和其他心血管疾病.
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