基于毫米波雷达的生命体征检测

Vital Signs Detection Based on Millimeter Wave Radar

针对接触式生命体征测量工具的局限性,提出了基于毫米波雷达的非接触式生命体征检测方法。通过对混频得到的拍频信号进行距离维傅里叶变换,确定了被测目标所在的距离单元;提取被测目标所在距离单元的相位信息,对相位信号进行差分处理,去除了由于硬件条件导致的相位基线漂移;采用IIR数字滤波器实现呼吸、心跳信号的分离,通过快速傅里叶变换算法对生命体征进行预估。对雷达实测数据的处理结果表明,所提出的非接触式生命体征检测方法能够较准确地预估人体的心率和呼吸速率。

Aiming at the limitations of contact vital signs measurement tools,a non-contact vital signs detection method based on millimeter-wave radar was proposed.The range-bin of the measured target was determined by means of the range-dimensional Fourier transform of the beat signal obtained by mixing frequency.The phase information of the range-bin of the measured target was extracted,and the phase signal was processed by differential processing to eliminate the shift of phase baseline caused by hardware conditions.The respiratory and heartbeat signals were separated by IIR bandpass filter,and the heart rate and respiration rate were estimated by fast Fourier transform.The processing results of the measured radar data show that the proposed non-contact vital sign detection method can accurately predict the human heart rate and respiratory rate.