Radar-based Measurement of Pulse Wave using Fast Physiological Component Analysis

T. Sakamoto, Junya Suzuguchi
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Abstract

This study proposes a fast blind signal separation technique for human arterial pulse wave propagation measurement. One of the authors previously developed a blind signal separation method called physiological component analysis that uses mathematical modeling of the measured physiological signals, including the pulse wave propagation, and this method improves the signal separation accuracy when applied to array signal processing. Physiological component analysis, however, is known to require long computation times because it is based on high-dimensional global optimization. In this paper, we propose a method to reduce the dimensionality of the decision variables for the optimization process that uses the Schelkunoff polynomial method. Using this dimension reduction technique, we propose a new algorithm, called fast physiological component analysis, and the performance of this algorithm is evaluated using numerical simulations.
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基于快速生理成分分析的脉冲波雷达测量
提出了一种用于人体动脉脉搏波传播测量的快速盲信号分离技术。其中一位作者先前开发了一种盲信号分离方法,称为生理成分分析,该方法对测量的生理信号进行数学建模,包括脉冲波的传播,该方法在应用于阵列信号处理时提高了信号分离的精度。然而,由于生理成分分析是基于高维全局优化的,因此需要很长的计算时间。本文提出了一种利用舍尔库诺夫多项式方法对优化过程中的决策变量进行降维的方法。利用这种降维技术,我们提出了一种新的快速生理成分分析算法,并通过数值模拟对该算法的性能进行了评价。
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