Heart Rate Extraction of Ballistocardiogram Based on Hilbert-Huang Transformation
CAO Xin-rong
GUO Hong
TANG Jin-tian
1.Department of Engineering Physics, Tsinghua University, Beijing 100091, China2.Department of Engineering Physics, Tsinghua University, Beijing 100091, China3.Department of Engineering Physics, Tsinghua University, Beijing 100091, China
摘要：Objective: Ballistocardiogram (BCG) is a kind of signal that reflects the movement of human body caused by the mechanical activity of cardiovascular system, especially during the heart contraction. Compared to other methods on assessing vascular healthy condition, the acquisition of BCG didn't need any direct contact with human body. This paper uses Hilbert-Huang transformation (HHT) to calculate the heart rate and detect the artifacts. Methods: HHT was a newly-developed method for non-linear data analysis, and ensemble empirical mode decomposition (EEMD) based HHT was a modified HHT method which used white noise to improve the analysis result. A device that could record BCG signal and ECG signal synchronously was built in our lab and 10 subjects' signals were collected and analyzed. EEMD based HHT was applied to BCG signal to calculate the heart rate. Heart rate calculated using ECG was used as a standard value to verify the result calculated from BCG. Besides, BCG was easily affected by the body movement, so we tried to use HHT to detect the artifacts in the BCG signal. Results: Our research showed that EEMD based HHT with a proper white noise level could be used to calculate the heart rate in BCG. Artifacts in the decomposition component were enhanced in the decomposition components of EEMD and became easier to detect than that in original BCG signal. Conclusion: Therefore, HHT could help to calculate the heart rate, enhance and detect artifacts caused by movements of human body in BCG signal.
机标关键词：
分类号：R318.04(医用一般科学)
论文发表日期：2019-09-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 118-124 )
英文信息