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利用 94GHz 毫米波干涉测量法对静止对象进行心率和呼吸模式的遥感。

Remote sensing of heart rate and patterns of respiration on a stationary subject using 94-GHz millimeter-wave interferometry.

机构信息

Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA.

出版信息

IEEE Trans Biomed Eng. 2011 Jun;58(6):1671-7. doi: 10.1109/TBME.2011.2111371. Epub 2011 Feb 4.

Abstract

Using continuous wave, 94-GHz millimeter-wave interferometry, a signal representing chest wall motion can be obtained that contains both the heart rate and respiration patterns of a human subject. These components have to be separated from each other in the received signal. Our method was to use the quadrature and in-phase components of the signal, after removing the mean of each, to find the phase, unwrap it, and convert it to a displacement measurement. Using this, the power spectrum was examined for peaks, which corresponded to the heart rate and respiration rate. The displacement waveform of the chest was also analyzed for discrete heartbeats using a novel wavelet decomposition technique.

摘要

利用连续波、94GHz 毫米波干涉测量技术,可以获得代表人体胸腔壁运动的信号,其中包含心率和呼吸模式。在接收到的信号中,必须将这些分量彼此分离。我们的方法是使用信号的正交和同相分量,在去除每个分量的平均值后,找到相位,展开相位,并将其转换为位移测量。使用这种方法,对功率谱进行了检查,以寻找与心率和呼吸率相对应的峰值。还使用一种新颖的小波分解技术,对胸腔的位移波形进行了离散心跳的分析。

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