A Novel Heart Rate Detection Algorithm in Ballistocardiogram Based on Wavelet Transform

2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI:10.1109/WKDD.2009.98

Jingjing Jin, Xu Wang, Shilong Li, Yingnan Wu

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引用次数: 23

Abstract

The heart's mechanical activity while pumping out blood causes the vibration of physical and the object connecting with physical. The vibration is rhythmically with the heart rate and record as ballistocardiogram (BCG) on the spinal axis of the body. It is able to know human’s heart rate by measuring the vibration. BCG is weak non-stationary random signal and contains a lot of noise caused by the impact of human and equipment. So heart rate detection from the original acquisition BCG is difficult. Through discrete sequence wavelet transform, BCG is preprocessed by translation invariant method based on adaptive threshold wavelet shrinkage. Choosing proper wavelet base and adaptive threshold function, estimating the noise variance are done at the same time. The characteristics of BCG are retained while eliminating noise. Based on de-noised BCG, the heart rate of subject is detected by using pseudo-period detection method. A single channel ECG is recorded synchronously to test the veracity. The result shows that it is the same as heart rate gained from ECG.

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基于小波变换的心电图心率检测算法

心脏在泵出血液时的机械活动引起物理和与物理连接的物体的振动。这种振动与心率有节奏地结合在一起，记录在身体脊柱轴上的心电图上。它可以通过测量振动来了解人的心率。BCG是一种弱的非平稳随机信号，含有大量人为和设备影响产生的噪声。因此从原始采集的BCG中检测心率是困难的。通过离散序列小波变换，采用基于自适应阈值小波收缩的平移不变方法对BCG进行预处理。选择合适的小波基和自适应阈值函数，同时对噪声方差进行估计。在消除噪声的同时保留了BCG的特性。基于去噪卡介苗，采用伪周期检测方法检测受试者心率。同步记录单通道心电信号以检验其准确性。结果与心电测得的心率基本一致。

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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2009 Second International Workshop on Knowledge Discovery and Data Mining

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