Driver’s heartbeat interval estimation with millimeter-wave sensor

Ryohei Fukuhara, A. Kajiwara
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Abstract

This paper presents a millimeter-wave (MMW) radar based vital-signs sensor to estimate driver’s heartbeat interval (HBI) in contact-free for comfort. The HBI is here estimated from driver’s chest surface movement using the received MMW echo. The MMW sensor is sensitive to small cardiac movement of 1mm or less because of the higher frequency and wider bandwidth available, thereby the movement would be estimated even while driving an automobile. The received MMW echo contains not only the chest surface movement, but also driver’s body movement, automotive body vibration and multipath fading. Therefore, the HBI would be extracted from the received chest surface movement data using a range-bin diversity, multi-resolution analysis, and Burg algorithm-based spectrum analysis. This paper discusses the effect of driver’s operating condition and sensor installation location on the HBI. Measurement was conducted while driving an automobile and the result is also compared with a PPG (photo-plethysmograph) sensor to verify the validity. As a result, it is found that the estimated HBI is in good agreement with the PPG.
基于毫米波传感器的驾驶员心跳间隔估计
提出了一种基于毫米波(MMW)雷达的生命体征传感器,用于估计驾驶员在无接触状态下的心跳间隔(HBI)。HBI是利用接收到的毫米波回波从驾驶员的胸部表面运动中估计出来的。毫米波传感器对1毫米或更小的心脏运动很敏感,因为可用的频率更高,带宽更宽,因此即使在驾驶汽车时也可以估计心脏运动。接收到的毫米波回波不仅包含胸部表面运动,还包含驾驶员身体运动、车身振动和多径衰落。因此,HBI将通过距离库分集、多分辨率分析和基于Burg算法的频谱分析,从接收到的胸部表面运动数据中提取。本文讨论了驾驶员操作状态和传感器安装位置对HBI的影响。在驾驶汽车时进行测量,并将结果与PPG(光电体积描记器)传感器进行比较,以验证其有效性。结果表明,估算的HBI与PPG吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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