在车辆环境中提高心率检测,使用FMCW雷达和SCR引导信号处理
Ashwini Kanakapura Sriranga1, Qian Lu1, Stewart Birrell1
1Centre for Future Transport and Cities, Coventry University, Coventry CV1 2TT, UK.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
这项研究引入了一种优化的雷达系统,用于在车辆内部无接触式监测心率 (HR) 和心率变化 (HRV). 该框架达到90%以上的准确性,为先进的驾驶员监控系统铺平了道路.
科学领域:
- 汽车工程 汽车工程
- 生物医学信号处理
- 雷达系统 雷达系统
背景情况:
- 无接触生理监测对于驾驶员在车辆中的安全和福祉至关重要.
- 现有的方法往往需要直接接触或易受动作文物.
- 频率调制连续波 (FMCW) 雷达提供了机内传感的潜力.
研究的目的:
- 开发和优化信号处理框架,以在汽车环境中使用FMCW雷达进行准确的无接触心率 (HR) 和心率变化 (HRV) 检测.
- 为了确定车辆内的最佳雷达位置,以可靠地获取生理信号.
- 根据地面真相数据和先进的传感技术验证框架的性能.
主要方法:
- 使用信号与杂乱比 (SCR) 分析与实验室和驾驶模拟器条件下的人类参与者优化了雷达位置.
- 开发了一个处理管道,包括背景减去,范围选择,带通过和相解封.
- 集成深度学习方法用于增强HR和HRV提取和对心电图 (ECG) 的基准测试.
主要成果:
- 通过SCR分析确定了车载雷达最佳位置.
- 开发的信号处理管道可靠地提取了心跳间隔和心跳峰值,没有接触.
- 雷达衍生的HR和HRV在与研究级心电图进行比较时达到90%以上的准确性,在运动条件下显示出稳健性.
结论:
- 优化的雷达定位和先进的信号处理可以实现准确的,无接触的机内生理监测.
- 拟议的框架是未来智能车辆和驾驶员监控系统的可扩展解决方案.
- 这项技术通过持续的生理评估来提高驾驶员的安全性和舒适性.
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