摘要
本文介绍了在一种便携式心电监护仪器中是如何对心电数据进行预处理和智能分析的.为了适应便携式仪器的特征,我们在心电信号预处理中采用了FFT滤波和滑动平均滤波的方法去除各种干扰并使图像得以平滑,同时采用了差分阈值法提取特征点.考虑到监护仪器的实用性,在心电信号分析阶段,我们采用了分析特征间期异常情况的方法来替代对病症的智能诊断功能.
In this paper, it introduces how to accomplish the functions of ECG signal pretreatment and intelligent analysis in a new portable ECG monitor. In order to smooth the ECG data and adapt for the characters of monitor, all kinds of noises were fihered by means of FFT filtering and moving average filtering, and then difference with threshold was used to extract the EGG characters. Considering the practicability of the portable ECG monitor, means of analysis the abnormality of interval was used to accomplished the functions of EGG analysis, instead of diagnose illness directly.
出处
《现代临床医学生物工程学杂志》
2005年第4期264-267,共4页
Journal of Modern Clinical Medical Bioengineering