Design and Implementation of a Heart Rate Detection Device Based on Ballistocardiogram

Abstract:

In this study, a non-load blanket device for heart rate detection was designed, based on the function of ballistocardiogram (BCG) to characterize each heart beat. A bed blanket with underlaid pressure-sensitive cables was employed to simultaneously collect the BCGs and record the amplitude as well as frequency of heart beat in real time. The noise jamming was reasonably eliminated according to the Mallat fast algorithm with characteristics of BCG retained in the process. The obtained results of ballistocar-waveforms with obvious characters and values of cardiac rate demonstrated that good effects could be obtained by our heart beat detection device. This study proves to be a significant attempt for the BCG application on physiological parameters detections.

• Periodical: Applied Mechanics and Materials (Volumes 401-403)
• Pages: 1234-1238
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.401-403.1234
• Online since: September 2013
• Authors: Yong Bin Cheng, Li Qiang Zhu, Da Cheng Bi
• Keywords: Ballistocardiogram, Heart Rate Extraction, Mallat Fast Algorithm, Non-Load Test

References

[1] Z. Trefny. New Trends in balistocardiography, J. Measure Science Review. 3(2003) 45-48.

[2] I. Starr, E.C. WoodTwenty years studies with the ballistocardiograph, the relation between the amplitude of the first record of health, adults and eventual mortality and morbidity form heart disease, J. Circulation. 23(1961) 714-732.

DOI: 10.1161/01.cir.23.5.714

[3] M. Yu, J. Yang, Y. Zhou. Study on sleep monitering with micromovement sensitive mattress monitering system, J. Chinese journal of aerospace medicine. 10(1999) 40-45.

[4] S. Junnila. A wireless ballistocardiographic chair. Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, USA, 2006, 5932-5936.

[5] F. Jiang, X. Wang, Y. Yu, D. Yang. Automatic Detection Based on Ballistocardiogram Signal for Abnormal Heart Rate, J. Journal of Northeastern University (Natural Science) 31, (2010) 1685-1687.

[6] O. Inan, G. Kovacs, L. Giovangrandi. Evaluating the lower-body electromyogram signal acquired from the feet as a noise reference for standing ballistocardiogram measurements, J. Information Technology in Biomedicine. 14(2010) 1188-1196.

DOI: 10.1109/titb.2010.2044185

[7] J. M. Zanrtti, M. O. Poliac, R. S. Crow. Seismocardiography: waveform identification and noise analysis. Computers in Cardiology. Venice: IEEE, 1991, 49-52.

DOI: 10.1109/cic.1991.169042

[8] P. Smreka, M. Jirina, Z. Trefny. New methods for precise detection of systolic complexes in the signal acquired from quantitative seismocardiograph. IEEE International Workshop on Intelligent Signal Processing. Faro: IEEE, 2005, 375-380.

DOI: 10.1109/wisp.2005.1531688