基于Android平台的脉搏信号干扰检测及其质量评估方法研究
Interference Detection and Quality Assessment of Pulse Signal on Android Platform
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摘要: 移动智能监护装置获取脉搏信号的过程易受到多种因素的干扰,导致采集的信号质量不高,影响其在健康监护管理中的使用。为此,通过分析脉搏信号采集中干扰产生的原因及表现特征,提出相应的脉搏信号干扰段检测算法。并以此为基础,提出一种级联逐层判别的方法对脉搏信号的质量进行评估,将其分为可用信号和不可用信号。通过PC及Android平台的实验测试表明,所提算法可以实时准确地检测出脉搏信号中的干扰段,并能以此为基准可靠地评估脉搏信号的可用性。Abstract: 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.