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首页> 外文会议>4th International Symposium on Bioelectronics and Bioinformatics >Motion artefact separation in single channel Doppler radar respiration measurement
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Motion artefact separation in single channel Doppler radar respiration measurement

机译：单通道多普勒雷达呼吸测量中的运动伪影分离

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Direct conversion Doppler radar has the capability to remotely monitor human respiratory activity in a non-contact form. However, the motion or movement from the subject will degrade the acquired respiration signal. As the respiration pattern is one of the essential parameters in respiratory medicine intrinsically containing more information about the respiratory function, it is particularly important to suppress or to separate these motion artefacts in order to reconstruct the corresponding patterns. Experiment results show that EMD-ICA algorithm is capable of separating the mixed respiration signal by recovering the useful information of the breathing pattern as well as the motion signatures using only a single channel measurement when using the source separation algorithm. This reduces the complexity and the cost of the sensing system while removing the undesirable artefacts. A high correlation was also observed from the recovered respiration pattern in comparison to the standard respiration strap for both experiments setup (a seated and a supine position).
机译：直接转换多普勒雷达具有以非接触形式远程监测人类呼吸活动的能力。然而，来自对象的运动或移动将降低所获取的呼吸信号。由于呼吸模式是呼吸医学中必不可少的参数之一，本质上包含有关呼吸功能的更多信息，因此抑制或分离这些运动伪像以重建相应的模式尤为重要。实验结果表明，使用源分离算法时，EMD-ICA算法能够通过仅使用单个通道测量值来恢复呼吸模式的有用信息以及运动签名，从而分离混合呼吸信号。这减少了感测系统的复杂性和成本，同时消除了不希望的伪像。与标准呼吸带相比，在两个实验设置（坐位和仰卧位）中，从恢复的呼吸模式还观察到高度相关性。

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