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使用 W 波段多普勒雷达传感器进行非接触式人体呼吸和心跳测量。

Non-Contact Measurement of Human Respiration and Heartbeat Using W-band Doppler Radar Sensor.

机构信息

Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea.

出版信息

Sensors (Basel). 2020 Sep 12;20(18):5209. doi: 10.3390/s20185209.

Abstract

This paper presents a W-band continuous-wave (CW) Doppler radar sensor for non-contact measurement of human respiration and heartbeat. The very short wavelength of the W-band signal allows a high-precision detection of the displacement of the chest surface by the heartbeat as well as respiration. The CW signal at 94 GHz is transmitted through a high-gain horn antenna to the human chest at a distance of 1 m. The phase-modulated reflection signal is down-converted to the baseband by the quadrature mixer with an excellent amplitude and phase matches between I and Q channels, which makes the IQ mismatch correction in the digital domain unnecessary. The baseband I and Q data are digitized using data acquisition (DAQ) board. The arctangent demodulation with automatic phase unwrapping is applied to the low-pass filtered I and Q data to effectively solve the null point problem. A slow-varying DC component is rejected in the demodulated signal by the trend removal algorithm. Then, the respiration signal with a frequency of 0.27 Hz and a displacement of ~6.1 mm is retrieved by applying a low-pass filter. Finally, the respiration signal is removed by the band-pass filter and the heartbeat signal is extracted, showing a frequency of 1.35 Hz and a displacement of ~0.26 mm. The extracted respiration and heartbeat rates are very close to the manual measurement results. The demonstrated W-band CW radar sensors can be easily applied to find the angular location of the human body by using a phased array under a compact size.

摘要

本文提出了一种 W 波段连续波(CW)多普勒雷达传感器,用于非接触式测量人体的呼吸和心跳。W 波段信号的极短波长允许对心跳和呼吸引起的胸部表面位移进行高精度检测。94GHz 的 CW 信号通过高增益喇叭天线传输到 1m 外的人体胸部。相位调制的反射信号通过正交混频器下变频到基带,I 路和 Q 路之间具有极好的幅度和相位匹配,这使得在数字域中不需要进行 IQ 失配校正。基带 I 和 Q 数据使用数据采集(DAQ)板进行数字化。采用反正切解调并自动解缠绕对低通滤波后的 I 和 Q 数据进行解调,有效解决了零点问题。通过趋势移除算法去除解调信号中的缓慢变化的直流分量。然后,通过应用低通滤波器来获取频率为 0.27Hz、位移约 6.1mm 的呼吸信号。最后,通过带通滤波器去除呼吸信号并提取心跳信号,显示频率为 1.35Hz、位移约 0.26mm。提取的呼吸和心跳率与手动测量结果非常接近。所展示的 W 波段 CW 雷达传感器可以通过使用相控阵在紧凑尺寸下轻松应用于寻找人体的角度位置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/725e/7570872/82eb222d906e/sensors-20-05209-g001.jpg

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