Treffer: 基于变分模态分解的心冲击信号分析与提取实验设计.
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The ballistocardiogram (BCG) signal is an important basis for noninvasively monitoring the cardiac health. In order to obtain accurate characteristics of cardiac pulse, it is necessary to separate respiratory signal and BCG signal from the observed physiological signals. The mattress based on a piezoelectric film sensor is developed for acquiring BCG signals and the BCG signal analysis system based on the variational mode decomposition (VMD) algorithm is proposed for separating the BCG signal and the respiratory signal. The parameters of VMD are set according to the statistical characteristics so that the BCG signal and the respiratory signal can be extracted accurately at low signal-to-noise ratio. The BCG signal analysis and extraction is an experimental project of the "Random signal processing" course. By using MATLAB tool, the extraction and analysis of the BCG signals can be realized, which can promote students to master the theory of random signal processing. It is also helpful to improve students' ability to solve complex engineering problems in practical random signal processing. [ABSTRACT FROM AUTHOR]
心冲击 (BCG) 信号是无损监督心脏健康状态的重要依据, 为了获得准确的心脏搏动特征需要从采集到 的生理信号分离出心冲击信号和呼吸信号。本文设计了一个基于压电薄膜的床垫式 BCG 信号采集与分析系统, 提出基于变分模态分解（VMD）的呼吸信号与心冲击信号分离方法。该方法根据 BCG 信号的统计特征设置 VMD 分解算法参数, 使之适用于低信噪比 BCG 信号特征, 从而实现呼吸信号的分离和心冲击信号的提取。该实验为 “随机信号处理”课程实验项目, 采用 MATLAB 工具实现 BCG 信号的分析与提取, 既可促进学生对随机信号处 理理论的掌握, 也有助于提高他们解决实际随机信号处理中复杂工程问题的能力. [ABSTRACT FROM AUTHOR]
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