Accelerometer-Based Breathing Signal Acquisition with Empirical Mode Decomposition

Bonan Yang, Cheng-Chun Chang, Yi-Hsuan Ting, Jia-Wei Liao, Hong-Li Lin, Tay-Jyi Lin, C. Yeh, Jinn-Shyan Wang
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引用次数: 1

Abstract

This paper presents an effective method based on the empirical mode decomposition (EMD) to extract driver's breathing signal from an accelerometer installed on the safety belt. The method has been verified to have consistent results with commercial belt under various driving conditions, where the acceleration from car driving or road bumps has much higher signal power than the desired breathing signal from chest movement (i.e. negative signal to noise ratio).
基于加速度计的呼吸信号采集与经验模态分解
提出了一种基于经验模态分解(EMD)的驾驶员呼吸信号提取方法。该方法已被验证在各种驾驶条件下与商用皮带的结果一致,其中汽车行驶或道路颠簸产生的加速度的信号功率远高于胸部运动产生的期望呼吸信号(即负信噪比)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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