Time-Frequency Domain for BCG Analysis

The aim of this paper is to explore the time-frequency domain for the analysis of Ballistocardiogram (BCG) signals. The BCG signal reveals the mechanical activity of the heart by representing the propagated vibrations caused the ejection of blood into the arteries. Several medical features can be extracted from this signal most notably the Heart Rate (HR). The HR can be extracted from the BCG in unobtrusive and nonintrusive way without any contact with the user. An algorithm to extract the heart rate from the BCG signal is presented in this paper. The proposed algorithm uses the time-frequency domain to extract the envelope of the signal. The validation of the proposed method on real signals shows a high performance even in the presence of noise in real conditions of use.

[1]  Chirag Sharma,et al.  Ballistocardiography signal filtering using adaptive least mean square algorithm , 2016, 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[2]  Lalu Mansinha,et al.  Localization of the complex spectrum: the S transform , 1996, IEEE Trans. Signal Process..

[3]  Dusmanta Kumar Mohanta,et al.  Power quality analysis using Discrete Orthogonal S-transform (DOST) , 2013, Digit. Signal Process..

[4]  Christian Brandt,et al.  A robust heart sounds segmentation module based on S-transform , 2013, Biomed. Signal Process. Control..

[5]  Octavian Postolache,et al.  Ballistocardiogram: Model and sensing systems , 2016, 2016 10th International Conference on Sensing Technology (ICST).

[6]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[7]  Pablo Aqueveque,et al.  BCG algorithm for unobtrusive heart rate monitoring , 2017, 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

[8]  Alain Dieterlen,et al.  A new optimized Stockwell transform applied on synthetic and real non-stationary signals , 2015, Digit. Signal Process..

[9]  O TANNENBAUM,et al.  Relationship between Ballistocardiographic Forces and Certain Events in the Cardiac Cycle , 1952, Circulation.

[10]  Omer T. Inan,et al.  Ballistocardiogram: Mechanism and Potential for Unobtrusive Cardiovascular Health Monitoring , 2016, Scientific Reports.

[11]  Jin Jiang,et al.  Heart sound analysis using the S transform , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

[12]  A Värri,et al.  Ballistocardiogaphic studies with acceleration and electromechanical film sensors. , 2009, Medical engineering & physics.

[13]  Hamid Reza Siahkoohi,et al.  S-transform with maximum energy concentration: Application to non-stationary seismic deconvolution , 2015 .

[14]  M. Ganesan,et al.  Evaluating the force of contraction of heart using ballistocardiogram , 2016, 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC).