在心肺复苏期间,心电图和光电图信号之间的电机械动态合在心肺复苏期间
Shuxin Chen1, Lijun Jiang2, Feng Xu2
1Institute of Intelligent Medical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China.
Computer methods and programs in biomedicine
|September 27, 2023
概括
在心肺复苏 (CPR) 过程中使用心电图 (ECG) 和光电图 (PPG) 信号调查电机机械合可以有效地表明心脏功能变化. 这种动态合为评估CPR有效性提供了一个敏感的衡量标准.
科学领域:
- 心血管生理学心血管生理学
- 生物医学信号处理
- 非线性动力学是一种非线性动力学.
背景情况:
- 心脏骤停 (CA) 对健康构成重大风险,高质量的心肺复苏 (CPR) 对生存至关重要.
- 确定可靠的生理指标来评估心血管功能在心肺复苏期间是一个关键的挑战.
研究的目的:
- 为了研究心电图 (ECG) 和光电图 (PPG) 信号之间的电机力学动态合.
- 评估这种合的实用性,作为心血管功能在心肺复苏过程中的指标.
主要方法:
- 从猪CA模型同时收集ECG和PPG信号.
- 分析使用单个信号动态的复发量分析 (RQA) 和ECG-PPG合的交叉复发量分析 (CRQA).
- 在四个时期分析信号:基线,CA,CPR和自发循环恢复 (ROSC).
主要成果:
- 心脏骤停显著改变了电力和机械活动动态及其合,通过减少 (ENTR),确定性 (DET) 和捕获时间 (TT) 表示.
- 心肺复苏参数 (RR,ENTR,DET,TT) 显著低于ROSC,但高于CA,表明对复苏工作的敏感性.
结论:
- 电机动力学合器对CPR干预很敏感.
- 这种合有效地反映了心脏功能在整个CPR过程中的变化,为CPR评估提供了潜在的新指标.
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