Zhang Aihua, Kou Xinyu, Qi Yusheng, Wang Jingyang
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050.
Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, 730050.
Zhongguo Yi Liao Qi Xie Za Zhi. 2018 Sep 30;42(5):321-325. doi: 10.3969/j.issn.1671-7104.2018.05.003.
The collection process of the pulse signal is easily disturbed by the noise, that will reduce the quality of the signal, and affect its applications on the healthy monitoring system. In order to solve this problem, this paper analyzes the causes of the generation of interference during pulse signal acquisition and the characteristics of interference performance, and puts forward the corresponding detection algorithm for pulse signal interference section. Based on this algorithm, a Cascaded Layer-by-Layer Discrimination method is proposed to evaluate the quality of pulse signals, in which pulse signals are divided into available signals and unavailable signals. Experimental results on PC and Android platform show that the proposed algorithm can detect the interference segment accurately in the pulse signal in real time, and improve the usability of the evaluation for pulse signal.
脉搏信号的采集过程很容易受到噪声干扰，这会降低信号质量，并影响其在健康监测系统中的应用。为了解决这个问题，本文分析了脉搏信号采集过程中干扰产生的原因及干扰特性，并提出了针对脉搏信号干扰段的相应检测算法。基于该算法，提出了一种逐层级联判别方法来评估脉搏信号质量，该方法将脉搏信号分为可用信号和不可用信号。在PC和安卓平台上的实验结果表明，所提算法能够实时准确地检测出脉搏信号中的干扰段，并提高了脉搏信号评估的可用性。
