通过对儿科心率波动的拓数据分析揭示了心脏复杂性的年龄相关模式
Andy Domínguez-Monterroza1, Alfonso Mateos Caballero1, Antonio Jiménez-Martín1
1Department of Artificial Intelligence, Universidad Politécnica de Madrid, Madrid, Spain.
PloS one
|December 2, 2025
概括
拓数据分析揭示了心率变化 (HRV) 复杂性如何随着儿童的年龄而变化. 早期发育显示复杂的HRV,在青春期成熟到更简单的模式,有助于儿科监测.
科学领域:
- 心脏病学 心脏病学
- 发展生理学 发展生理学
- 数据科学数据科学数据科学
背景情况:
- 心率变化 (HRV) 是自主神经系统功能的一个关键指标.
- 在整个人类发展过程中,人力资源变化经历了重大变化,特别是在童年早期.
- 了解这些发育变化对于儿科健康评估至关重要.
研究的目的:
- 应用拓数据分析 (TDA) 来描述儿童群体中HRV不断变化的几何复杂性.
- 通过使用持久的同类学来研究HRV信号的年龄依赖转换.
- 探索拓 HRV 特征与传统生理学测量之间的关系.
主要方法:
- 在时间延迟嵌入式RR区间系列上利用同源维度1的持久同源.
- 分析了127名1个月至17岁的个体的数据.
- 提取了拓描述符,以量化跨发育阶段的HRV复杂性.
主要成果:
- 在HRV的拓结构中确定了统计学上显著的年龄依赖的变化.
- 在新生儿和婴儿中观察到更高的拓复杂性,表明异质的心脏控制.
- 在青少年中发现复杂性降低和度增加,这表明生理控制更加均.
- 与传统HRV指数相关的拓测量,证实了生理相关性.
结论:
- 持久的同源性为分析心脏自主调节的发育轨迹提供了一个强大的框架.
- 拓HRV分析可以提供有关儿科自主成熟的见解.
- 这种方法在儿科监测和早期发现dysautonomia方面具有潜在的应用.
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