远程估计血压使用毫米波频率调制的连续波雷达
Lovedeep Singh1, Sungjin You2, Byung Jang Jeong2
1Department of Electrical and Computer Engineering, California State University, Fresno, CA 93740, USA.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究证明了使用毫米波雷达进行远程血压估计. 该系统分析脉冲波速度和信号形状,以准确地预测心压和腹压血压的非侵入性.
科学领域:
- 生物医学工程 生物医学工程
- 医疗器械 医疗器械
- 雷达技术 雷达技术的使用
背景情况:
- 高血压是一种主要的健康风险,通常使用繁的袖子式方法检测到.
- 连续,远程血压监测对于早期疾病检测和管理至关重要.
- 现有的方法是基于接触的,不连续的,并且对于长期使用是不方便的.
研究的目的:
- 开发一种使用毫米波雷达的非侵入性远程血压估计技术.
- 为了研究脉冲波速度 (PWV) 和血压之间的相关性.
- 探索雷达信号特征的实用性,如曲线下的面积 (AUC),用于血压评估.
主要方法:
- 使用了毫米波频率调节的连续波雷达系统.
- 通过胸部和手腕雷达信号之间的脉冲过渡时间来测量PWV.
- 分析了手腕雷达信号的脉冲波形状,并计算了曲线下的面积 (AUC).
- 使用人工神经网络与PWV和AUC作为血压预测的输入.
主要成果:
- 来自雷达时间延迟的PWV显示与血压的相关性.
- 手腕脉冲波信号的AUC特征与血压有很强的相关性.
- 人工神经网络准确地估计了静缩血压 (SBP) 和静缩血压 (DBP).
- 获得的根平均平方误差为SBP的3.33mmHg和DBP的3.14mmHg.
结论:
- 毫米波雷达为远程血压监测提供了一种可行的非侵入性方法.
- 将PWV和雷达信号分析 (AUC) 结合起来,可以提高血压估计的准确性.
- 这项技术具有持续健康监测和早期心血管疾病干预的潜力.
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