通过模板匹配通过地震心电图信号的无心电图心跳检测
Jessica Centracchio1, Salvatore Parlato1, Daniele Esposito1
1Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
这项研究引入了一种新的,简单的方法,仅使用地震心电图 (SCG) 信号来检测心跳,从而消除了对心电图 (ECG) 的需求. 该方法实现了高精度,使可穿戴心脏监测更容易获得.
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:
- 心脏监测传统上依赖于心电图 (ECG) 和心震图 (SCG) 信号.
- 基于SCG的无心电图心跳检测是理想的,以减少侵入性,长期监测.
- 现有的无心电图的方法往往是复杂和计算密集的.
研究的目的:
- 开发和验证使用SCG信号进行无心电图心跳检测的新型,计算效率高的算法.
- 在心跳检测准确度和心跳间隔测量精度方面评估拟议的算法的性能.
- 评估算法适用于可穿戴设备中的适用性.
主要方法:
- 为SCG心跳检测开发了一种利用正常化交叉相关性的新型模板匹配方法.
- 算法使用的模板包括了缩和腹缩SCG复合体.
- 对77名患有膜心脏病的患者的SCG数据进行了评估.
主要成果:
- 该算法在心跳检测方面实现了96%的灵敏度和97%的正预测值 (PPV).
- 节拍间隔测量显示了高精度,R2>0.999,斜率为0.997,偏差最小 (±7.8 ms).
- 结果与更复杂的基于人工智能的算法相当或优于它们.
结论:
- 拟议的模板匹配算法从SCG信号提供准确可靠的无心电图心跳检测.
- 其较低的计算要求使其非常适合集成到可穿戴心脏监测设备中.
- 这种方法为长期心脏监测提供了更简单,更容易获得的替代方案.
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