首页> 外文会议>Proceedings of the Third International Conference Ergo-2018: Human Factors in Complex Technical Systems and Environments >Improvement of Methods for Detection of Characteristic Points of Biomedical Signals Based on Continuous Wavelet Transformation in the Continuous Flow of Data
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Improvement of Methods for Detection of Characteristic Points of Biomedical Signals Based on Continuous Wavelet Transformation in the Continuous Flow of Data

机译:连续数据流中基于连续小波变换的生物医学信号特征点检测方法的改进

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摘要

The method of continuous wavelet transform for processing biomedical signals is considered in this paper. The algorithm of continuous wavelet transformation, based on the absence of boundary effects in the continuous data flow, is proposed. On the basis of the proposed wavelet transformation algorithm, the method for detection of complex QRS detection of ECG signal and the method for detection of normative points of pulse wave signal are presented.
机译:本文考虑了连续小波变换处理生物医学信号的方法。提出了一种基于连续数据流不存在边界效应的连续小波变换算法。在提出的小波变换算法的基础上,提出了心电信号的复杂QRS检测方法和脉搏波信号规范点检测方法。

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