小波变换在红外-超宽带雷达生命体征监测中的实现

A. Tariq, A. Zahid, U. Khan, Naeem Khan, Faheem Khan
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引用次数: 3

摘要

本文讨论了用小波变换测量心率和呼吸频率的方法。由于包括傅里叶变换在内的现有格式不适用于非平稳数据[13],小波变换是另一种补救方法。本文重点研究了利用小波变换提取光谱信息的主要问题。提出了追踪小波系数能量谱密度最大的尺度的策略。这些标度通过标度-频率对应图得到呼吸速率和心率。同时实现时间定位和光谱信息是本文的主要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Wavelet transform for monitoring of vital signs through IR-UWB Radar
In this paper, measurement of the heart rate and respiration rate using Wavelet transform has been discussed. As the existing schemes including Fourier transform are not suitable for non-stationary data [13], Wavelet transform is however an alternative remedy. Emphasis has been made on the main issue of extracting spectral information using wavelet transform in this paper. Strategy has been proposed to trace the scale at which the Wavelet coefficients have maximum energy spectral density. These scales are used to find the respiration rate and heart rate through scales-to-frequency correspondence graph. Achieving time localization and spectral information simultaneously is the main contribution of this paper.
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