Quantifying and Reducing Motion Artifacts in Wearable Seismocardiogram Measurements During Walking to Assess Left Ventricular Health

被引:61
作者
Javaid, Abdul Q. [1 ]
Ashouri, Hazar [1 ]
Dorier, Alexis [1 ]
Etemadi, Mozziyar [2 ]
Heller, J. Alex [2 ]
Roy, Shuvo [2 ]
Inan, Omer T. [1 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
基金
美国国家卫生研究院;
关键词
Empirical mode decomposition (EMD); seismocardiography; smart and connected health; wearable technology; EMPIRICAL MODE DECOMPOSITION; SYSTOLIC-TIME INTERVALS; MONITOR;
D O I
10.1109/TBME.2016.2600945
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Goal: Our objective is to provide a framework for extracting signals of interest from the wearable seismocardiogram (SCG) measured during walking at normal (subject's preferred pace) and moderately fast (1.34-1.45 m/s) speeds. Methods: We demonstrate, using empirical mode decomposition (EMD) and feature tracking algorithms, that the pre-ejection period (PEP) can be accurately estimated from a wearable patch that simultaneously measures electrocardiogram and sternal acceleration signals. We also provide a method to determine the minimum number of heartbeats required for an accurate estimate to be obtained for the PEP from the accelerometer signals during walking. Results: The EMD-based denoising approach provides a statistically significant increase in the signal-to-noise ratio of wearable SCG signals and also improves estimation of PEP during walking. Conclusion: The algorithms described in this paper can be used to provide hemodynamic assessment from wearable SCG during walking. Significance: A major limitation in the use of the SCG, a measure of local chest vibrations caused by cardiac ejection of blood in the vasculature, is that a user must remain completely still for high-quality measurements. The motion can create artifacts and practically render the signal unreadable. Addressing this limitation could allow, for the first time, SCG measurements to be obtained reliably during movement-aside from increasing the coverage throughout the day of cardiovascular monitoring, analyzing SCG signals during movement would quantify the cardiovascular system's response to stress (exercise), and thus provide a more holistic assessment of overall health.
引用
收藏
页码:1277 / 1286
页数:10
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