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保持脉冲信号的形状细节,用于基于视频的血压估计
Xuesong Han1,2, Xuezhi Yang1,2, Shuai Fang1,2
1School of Computer and Information, Hefei University of Technology, Hefei, 230009, China.
Biomedical optics express
|April 18, 2024
概括
这项研究引入了一种新的方法,通过将噪声成像光电脉冲扫描仪 (iPPG) 信号转化为更清洁的平均心脏循环 (ACC) 信号来改善非接触式血压估计,从而提高脉冲特征的准确性.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 心血管健康 心血管健康
背景情况:
- 使用成像光电脉冲扫描 (iPPG) 估计非接触式血压 (BP) 是一个不断增长的研究领域.
- 准确的BP估计依赖于精确的脉冲信号特征,这些特征在iPPG信号中经常被扭曲.
- 现有的方法在准确地转换iPPG信号以保留关键形状细节方面面临挑战.
研究的目的:
- 开发一种方法来将扭曲的iPPG脉冲信号转换为更准确的表示,以改进BP估计.
- 为了应对iPPG中形状精度的挑战,联系光电脉冲图 (cPPG) 信号转换.
- 通过提高 iPPG 信号质量来增强脉冲特征和 BP 值之间的相关性.
主要方法:
- 提出了一种使用平均心脏周期 (ACC) 作为参考信号的新型转换方法.
- 开发了一个神经网络,用于信号转换的多尺度卷积和自我注意机制.
- 在491名受试者的现实医院数据库上验证了该方法.
主要成果:
- 实现了脉冲特征和BP值之间的最大信息系数 (MIC) 的显著改善.
- 通过使用各种模型类型的转换脉冲信号,在BP估计中表现出增强的性能.
- 基于ACC的转换有效地保留了iPPG信号的基本形状细节.
结论:
- 拟议的神经网络方法有效地通过ACC转换iPPG信号,提高BP估计的脉冲特征可靠性.
- 这种方法为准确和强大的非接触式血压监测提供了有希望的解决方案.
- 这些发现表明,在利用iPPG信号用于临床应用方面取得了重大进展.
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