Non-Contact Vital Signs Monitoring for Multiple Subjects Using a Millimeter Wave FMCW Automotive Radar

S. M. Islam, Naoyuki Motoyama, S. Pacheco, V. Lubecke
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引用次数: 38

Abstract

Technology for in-cabin non-contact monitoring of driver vital signs is a growing area of interest for automotive applications. This has been spurred in part by successful demonstrations of remote sensing of human physiological motion using radar, for healthcare applications. However, most reported physiological radar results have focused on the use of continuous wave radar operating between the 2.4 GHz up to 24 GHz, to monitor a single, isolated subject. There is a recent paradigm shift in the automotive radar industry towards the use of W-band frequency modulated continuous wave radar. This research investigates the feasibility of extracting vital signs information for both single and multi-subject scenarios, utilizing a newly developed 76–81 GHz FMCW single channel architecture automotive radar. Chirp parameters and signal processing steps were developed to extract phase information for signals reflected from tiny movement of a subject's chest surface. Beam steering techniques were used to isolate the respiratory signatures for individual subjects from radar signals reflected simultaneously from multiple subjects. Experimental results showed that independent respiratory signatures could be isolated and measured for subjects separated by a 30° angular discrimination limit.
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毫米波FMCW汽车雷达非接触式多主体生命体征监测
车内非接触式驾驶员生命体征监测技术是汽车应用领域日益关注的一个领域。这在一定程度上是由于医疗保健应用中使用雷达对人体生理运动进行遥感的成功演示。然而,大多数报告的生理雷达结果都集中在使用2.4 GHz至24 GHz之间的连续波雷达来监测单个孤立的受试者。最近,汽车雷达行业出现了一种范式转变,即转向使用w波段调频连续波雷达。本研究利用新开发的76-81 GHz FMCW单通道架构汽车雷达,探讨了在单一和多主体场景下提取生命体征信息的可行性。提出了啁啾参数和信号处理步骤,用于提取受试者胸部微小运动反射信号的相位信息。波束转向技术用于从多个受试者同时反射的雷达信号中分离单个受试者的呼吸特征。实验结果表明,在30°角区分限内,可以分离和测量受试者的独立呼吸特征。
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