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| Heart Rate Extraction of Ballistocardiogram Based on Hilbert-Huang Transformation |
| CAO Xin-rong, GUO Hong, TANG Jin-tian |
| Department of Engineering Physics, Tsinghua University, Beijing 100091, China Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education |
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Abstract 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.
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Received: 05 June 2019
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Corresponding Authors:
TANG Jin-tian. E-mail: tangjt@mail.tsinghua.edu.cn
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[1] Deuchar. Ballistocardiography[J]. Br Heart J, 1967, 29: 285-288.
[2] Starr FC.Twenty-year studies with the ballistocardiograph: The relation between the amplitude of the first record of Healthy' adults and eventual mortality and morbidity form heart disease[J]. Circulation, 1961, 23:714-732.
[3] Huang ML, Wu SR, LongSS, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non- stationary time series analysis[J]. Proc Roy Soc Lond , 1998, 454A: 903-993.
[4] Wu Z, Huang NF.A study of the characteristics of whitenoise using the empirical mode decomposition method[J]. Proc Roy Soc London, 2004, 460A: 1597-1611.
[5] Wu Z, Huang NE.Ensemble Empirical mode decomposition: a noise-assisted data analysis method[J]. COLA Technical Report, 2005: 193.
[6] Wu Z, Huang NE.Ensemble empirical mode decomposition: a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1(1): 1-41.
[7] McKay WPS, Gregson PH, McKay BWS, et al. Sternal acceleration ballistocardiography and arterial pressure wave analysisto determine stroke volume[J]. Clin Inv Med, 1999, 22: 4-14.
[8] Koivistoinen T, Junnila S, Varri A, et al.A new method for measuring the ballistocardiogram using EMFi sensors in a normal chair[C]. Proc. 26th Annual International Conference of the IEEE EMBS,San Francisco, CA, USA, 2004: 2026-2029.
[9] Gonzalez-Landaeta R, Casas O.Heart rate detection from an electronic weighing scale[C]. Pro. of the 29th Ann. Int. Con of the IEEE EMBS Cite Internationale, Lyon, France August 23-26, 2007: 6082-6285.
[10] Inan OT, Etemadi M, Paloma A.Robust ballistocardiogram acquisition for home monitoring[J]. Phys Mea, 2009, 30: 169-185.
[11] Watanabe K, Watanabe T, Watanabe H. Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in bed via a pneumatic method[J]. IEEE Transactions on Biomedical Engineering, 2005, 52, (12): 2005.
[12] Su JW, Zhu XZ, Tang JT.Ballistocardiogram measurement system using three load-cell sensors platform in chair[C]. Proceedings of 2009 2nd International Conference on BMEI, Tianjin,China, 2009: 977-980.
[13] Zhong Ji, Shuren Qin.Principle and Realization of Weak Biomedical Signal Feature Extraction and Implementation[M]. Science Press, 2007.
[14] Paalasmaa J, Ranta M.Detecting heartbeats in the ballisto cardiogram with clustering[C]. Proc. of the ICML/UAI/COLT 2008Workshop on Machine Learning for Health-Care Applications, Helsinki, Finland, 2008.
[15] Gilaberte S, Gomez-Clapers J, Casanella R.Heart and respiratory rate detection on a bathroom scale based on the ballistocardiogram and the continuous wavelet transform[C]. 32nd Annual Internation al Conference of the IEEE EMBS, 2010:2557-2560. |
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