Li Gang, Zhou Mei, Wang Hui-quan, Xiong Chan, Lin Ling
School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2012 May;32(5):1324-8.
Dynamic spectrum method extracts the absorbance of the artery pulse blood with some wavelengths. The method can reduce some influence such as measurement condition, individual difference and spectrum overlap. It is a new way for noninvasive blood components detection However, how to choose a dynamic spectrum extraction method is one of the key links for the weak ingredient spectrum signal. Now there are two methods to extract the dynamic spectral signal-frequency domain analysis and single-trial estimation in time domain In the present research, comparison analysis and research on the two methods were carrued out completely. Theoretical analysis and experimental results show that the two methods extract the dynamic spectrum from different angles. But they are the same in essence--the basic principle of dynamic spectrum, the signal statistical and average properties. With the pulse wave of relative stable period and amplitude, high precision dynamic spectrum can be obtained by the two methods. With the unstable pulse wave due to the influence of finger shake and contact-pressure change, the dynamic spectrum extracted by single-trial estimation is more accurate than the one by frequecy domain analysis.
动态光谱法提取动脉脉搏血液在某些波长下的吸光度。该方法可以减少诸如测量条件、个体差异和光谱重叠等一些影响。它是无创血液成分检测的一种新方法。然而,如何选择动态光谱提取方法是微弱成分光谱信号的关键环节之一。目前有两种提取动态光谱信号的方法——频域分析和时域单次估计。在本研究中,对这两种方法进行了全面的比较分析和研究。理论分析和实验结果表明,这两种方法从不同角度提取动态光谱。但它们本质上是相同的——动态光谱的基本原理、信号统计和平均特性。对于具有相对稳定周期和幅度的脉搏波,这两种方法都可以获得高精度的动态光谱。对于由于手指抖动和接触压力变化而导致的不稳定脉搏波,时域单次估计提取的动态光谱比频域分析提取的更准确。