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POF-based specklegram sensor post processing comparative: methods for extracting breath and heart rate

机译:基于POF的斑点传感器后处理比较:提取呼吸和心率的方法

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Continuous patient monitoring has been evidenced as very beneficious for reducing degeneration. Due to this, a POF specklegram sensor has been developed based on a previous work. This work presents a comparative between analysis methods of the specklegram signal for achieving a precise and robust non-contact monitor system. Two different techniques have been used: one based on the Fast Fourier Transform (FFT) and the other based on the Hilbert Transform (HT). Each technique has been employed with two different methods, for heart rate and breath rhythm. The different algorithms are tested on 10 volunteers of different ages and sex.
机译:连续患者监测已被证明是对减少退化的非常有益。因此,已基于以前的工作开发了POF斑块图传感器。该工作介绍了用于实现精确且坚固的非接触监控系统的斑点克朗信号的分析方法之间的比较。已经使用了两种不同的技术:基于快速傅里叶变换(FFT)和基于HILBERT变换(HT)的另一种技术。每种技术都采用两种不同的方法,用于心率和呼吸节奏。不同的算法在不同年龄和性别的10个志愿者上进行测试。

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