基于数据挖掘的脉搏信号干扰段检测算法

Pulse Signal Interference Detection Algorithm Based on Data Mining

脉搏信号的采集过程容易受到环境影响,进而导致采集到的信号含有干扰段。脉搏信号的干扰段,也就是脉搏信号被环境污染的噪声。为了能够客观地描述信号被污染的程度,文中提出了一种基于时间序列分段直线表示的脉搏信号干扰段检测算法,建立脉搏信号模板,通过模板信号和实际采样信号之间的匹配度(即拟合误差),从而得到一种能够客观表达脉搏信号含有干扰段程度(即信号质量)的算法。

The acquisition process of the pulse signal is easy to be influenced by the environment, thus the pulse signal interference. In other words, the pulse signal is polluted by the environment noise. In order to objectively describe the signal polluted degree, this paper proposes a piecewise linear representation of time series of the pulse signal based on the interference detection algorithm, and establishes the pulse template, the template signal and actual sampling signal between the matching degree （i. e. fitting error）, resulting in an objective expression of human pulse contains interference section level （i. e. , signal quality） algorithm.