基于梯度体面和扩展DACM算法的多普勒生物信号非接触检测

Qinyi Lv, T. Hu, S. Qiao, Yongzhi Sun, J. Huangfu, L. Ran
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引用次数: 10

摘要

在本文中,我们提出了一种基于多普勒雷达传感器的方法,能够检测小尺度和大尺度的生物运动。为了充分恢复后向散射微波信号的时域运动信息,利用梯度下降和扩展的DACM算法来解决直流偏移和相位包裹问题。实验结果表明,该方法可以准确地检测出人体小尺度心脏运动和大尺度步行的多普勒生物信号。该方法为生物医学和医疗保健应用中检测不同多普勒生物信号提供了一种通用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-contact detection of Doppler bio-signals based on gradient decent and extended DACM algorithms
In this paper, we present a Doppler radar sensor based approach capable of detecting both small- and large-scale biological motions. To fully recover the time domain motion information from backscattered microwave signals, the gradient descent and the extended DACM algorithms are utilized to solve the problems caused by DC offset and phase wrapping issues. Experimental results show that both Doppler bio-signals of the small-scale human cardiac motion and the large-scale human walk can be accurately detected. The proposed approach provides a generalized method for detecting different Doppler bio-signals in biomedical and healthcare applications.
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