Abstract
Ballistocardiogram (BCG) could reflect mechanical activity of cardiovascular system instead of ECG. And it is often acquired by sensitive mattress or chair without any constraints and limitations, but it contains many noise because of the impact of body and acquired equipment, those questions make heart rate detection difficult from the original BCG. In the paper, we propose an adaptive method which is used to extract heartbeat intervals (RR), and the method acquire automatically input parameters of Ensemble Empirical Mode Decomposition (EEMD) algorithm, and then decompose BCG signal using EEMD algorithm, and select adaptively decomposition component of BCG signal, whose periodicity is in accordance with the cardiac cycle completely as the target signal. Furthermore we detect the peak points and calculate the heartbeat intervals series using the target signal. In the result, the proposed method is tested using the BCG datasets from 18 subjects, including 8 females and 10 males (age 20–72). Finally, the heart rate from BCG will be compared with ECG, and the results are satisfactory and have a high accuracy.
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References
WHO: Cardiovascular Diseases (CVDs). Geneva, Switzerland: World Health Organization (2013)
Giovangrandi, L., Inan, O.T., Wiard, R.M., et al.: Ballistocardiography—a method worth revisiting. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, pp. 4279–4282. IEEE (2011)
Junnila, S., Akhbardeh, A., Barna, L.C., et al.: A wireless ballistocardiographic chair. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBS 2006, pp. 5932–5935. IEEE (2006)
Migeotte, P.-F., Tank, J., Pattyn, N., Funtova, I., Baevsky, R., Neyt, X., Prisk, G.K.: Three dimensional ballistocardiography: methodology and results from microgravity and dry immersion. In: Proceedings of the 33rd Annual International Conference of the IEEE EMBS, Boston, MA (2011)
Chung, G.S., Lee, J.S., Hwang, S.H., Lim, Y.K., Jeong, D.-U., Park, K.S.: Wakefulness estimation only using ballistocardiogram: nonintrusive method for sleep monitoring. In: Proceedings of the 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina (2010)
Paalasmaa, J.: A respiratory latent variable model for mechanically measured heartbeats. IOP Phys. Meas. 31(10), 1331–1344 (2010)
Bruser, C., Stadlthanner, K., de Waele, S., Leonhardt, S.: Adaptive beat-to-beat heart rate estimation in ballistocardiograms. IEEE Trans. Inf. Tech. in Biomed. 15(5), 778–786 (2011)
Koivistoinen, T., Junnila, S., Varri, A., Koobi, T.: A new method for measuring the ballistocardiogram using EMFi sensors in a normal chair. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA (2004)
Postolache, O., Girao, P.S., Postolache, G., Pereira, M.: Vital Signs Monitoring System Based on EMFi Sensors and Wavelet Analysis. IEEE IMTC, Warsaw (2007)
Postolache, O., Girão, P.S., Postolache, G.: New approach on cardiac autonomic control estimation based on BCG processing. In: Canadian Conference on Electrical and Computer Engineering, 2007. CCECE 2007, pp. 876–879. IEEE (2007)
Jin, J., Wang, X., Li, S., et al.: A novel heart rate detection algorithm in ballistocardiogram based on wavelet transform. In: Second International Workshop on Knowledge Discovery and Data Mining. WKDD 2009, pp. 76–79. IEEE (2009)
Shin, J.H., Choi, B.H., Lim, Y.G., et al.: Automatic ballistocardiogram (BCG) beat detection using a template matching approach. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBS 2008, pp. 1144–1146. IEEE (2008)
Smrcka, P., Jirina, M., Trefny, Z., et al.: New methods for precise detection of systolic complexes in the signal acquired from quantitative seismocardiograph. In: 2005 IEEE International Workshop on Intelligent Signal Processing, pp. 375–380. IEEE (2005)
Akhbardeh, A., Kaminska, B., Tavakolian, K.: BSeg ++: a modified blind segmentation method for ballistocardiogram cycle extraction. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBS 2007, pp. 1896–1899. IEEE (2007)
Algunaidi, M., Ali, M.A.M.: Threshold-free detection of maternal heart rate from abdominal electrocardiogram. In: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 455–458. IEEE (2009)
Choi, B.H., Chung, G.S., Lee, J.S., et al.: Slow-wave sleep estimation on a load-cell-installed bed: a non-constrained method. Physiol. Measur. 30(11), 1163 (2009)
Singh, B., Nagarkoti, S.K., Kaushik, B.K.: A modified algorithm for maternal heart rate detection using RR interval. In: 2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), pp. 39–42. IEEE (2011)
Cao, X., Guo, H., Tang, J.: Heart rate extraction of ballistocardiogram based on hilbert-huang transformation. In: Long, M. (ed.) World Congress on Medical Physics and Biomedical Engineering, vol. 39, pp. 619–622. Springer, Berlin (2013)
Wu, Z., Huang, N.E.: Ensemble empirical mode decomposition: a noise-assisted data analysis method. Advances in adaptive data analysis 1(01), 1–41 (2009)
Postolache, O.A., Girao, P., Silva, M.B., et al.: Physiological parameters measurement based on wheelchair embedded sensors and advanced signal processing. IEEE Trans. Instrum. Measurem. 59(10), 2564–2574 (2010)
Mack, D.C., Patrie, J.T., Suratt, P.M., et al.: Development and preliminary validation of heart rate and breathing rate detection using a passive, ballistocardiography-based sleep monitoring system. IEEE Trans. Inf Technol. Biomed. 13(1), 111–120 (2009)
Krej, M., Dziuda, L., Skibniewski, F.W.: A method of detecting heartbeat locations in the ballistocardiographic signal from the fiber-optic vital signs sensor. IEEE J. Biomed. Health Inf. 19(4), 1443–1450 (2015)
Bruser, C., Kortelainen, J.M., Winter, S., et al.: Improvement of force-sensor-based heart rate estimation using multichannel data fusion]. IEEE J. Biomed. Health Inf. 19(1), 227–235 (2015)
Acknowledgments
This work was supported by the China Scholarship Council, and is supported by the Key Project of National Found of Science of China (61332013) and Fundamental Research Grant of NWPU (3102015JSJ0010).
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Ni, H., He, M., Xu, G., Song, Y., Zhou, X. (2017). Extracting Heartbeat Intervals Using Self-adaptive Method Based on Ballistocardiography(BCG). In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Enhanced Quality of Life and Smart Living. ICOST 2017. Lecture Notes in Computer Science(), vol 10461. Springer, Cham. https://doi.org/10.1007/978-3-319-66188-9_4
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DOI: https://doi.org/10.1007/978-3-319-66188-9_4
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