无接触测量心肺活动使用软件定义无线电
Lei Guan1, Xiaodong Yang1, Nan Zhao1
1Key Laboratory of High Speed Circuit Design and EMC of Ministry of Education, School of Electronic EngineeringXidian University Xi'an Shaanxi 710071 China.
IEEE journal of translational engineering in health and medicine
|August 19, 2024
概括
这项研究提出了一种新的无接触方法,使用通道状态信息 (CSI) 来提取呼吸和心跳等生命体征. 该技术有效地分离这些信号,为传统医疗传感器提供了一个有希望的替代方案.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 无线通信无线通信
背景情况:
- 生命体征对于患者的健康评估至关重要.
- 使用通道状态信息 (CSI) 来无接触感知心肺活动是具有挑战性的,因为信号干扰.
- 现有的方法与杂乱,直流元件和呼吸道波作斗争,阻碍了可靠的心跳检测.
研究的目的:
- 开发一种强大而新的方法,同时无接触地提取呼吸和心跳信号.
- 克服基于CSI的生命体征监测中的干扰问题.
- 为传统医疗传感器提供一种非接触式替代品.
主要方法:
- 使用软件定义无线电 (SDR) 来获取信号.
- 实施了基于单数值分解 (SVD) 的杂乱抑制技术.
- 用于直流元件估计和补偿的使用圆形配件.
- 应用修改的变量模态分解 (VMD) 进行信号分离.
主要成果:
- 从过的数据中成功分离了呼吸和心跳信号.
- 通过布兰德-阿尔特曼分析证明了与医疗传感器的良好一致.
- 在0.5米范围内精确测量心率变化 (HRV).
结论:
- 拟议的方法提供了生命体征的准确和同时的非接触式监测.
- 该系统可以作为传统基于接触的医疗传感器的可行替代方案.
- 该技术支持先进的以患者为中心的医疗保健解决方案.
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