运动中心率跟踪的数学建模影响了PPG信号
Shahid Ismail1, Muhammad Usman Akram2, Imran Siddiqi3
1Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, 44000, Pakistan. shahid.ismail@ceme.nust.edu.pk.
Scientific reports
|November 13, 2025
概括
这项研究引入了一种新的数学模型,用于使用光电显微镜 (PPG) 追踪心率. 新的金色种子算法有效地克服了掩盖心率信号的运动工件,从而实现了准确的实时跟踪.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 摄影电磁镜 (PPG) 广泛用于心率 (HR) 监测.
- PPG信号中的运动工件 (MA) 可以掩盖真正的HR光谱峰值,导致不准确的读数.
- 现有的方法难以可靠地区分HR峰值和MA干扰.
研究的目的:
- 从多通道PPG信号开发一种新的数学模型,用于从多通道PPG信号中强大的心率跟踪.
- 引入一个新的黄金种子 (GS) 算法,以减轻运动工件对心率光谱峰值的掩盖效应.
- 为了提高基于PPG的心率监测在运动的情况下的准确性和可靠性.
主要方法:
- 一个多通道PPG数学模型,包含固定的分辨率快里叶变换 (FFT) 和Chirplet Z变换 (CZT) 频谱.
- 使用了光谱空间限制,以前的HR数据和信号范围.
- 一个新的金色种子 (GS) 算法,采用强度分析,单一光谱分析 (SSA),光谱操纵和近距离聚类.
主要成果:
- 拟议的GS算法有效地增强了掩盖的HR峰值,提高了跟踪精度.
- 该技术的平均处理时间为21.21ms.
- 在IEEE信号处理杯2015数据集上实现了2.12的平均平均误差.
结论:
- 新的数学模型和GS算法为PPG信号的心率跟踪提供了强大的解决方案.
- 该方法的速度和准确性使其适合实时应用.
- 这种方法显著提高了基于PPG的HR监控在动态条件下的性能.
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