A Review on Vibration Analysis of Seismocardiography (SCG)

  • Authors

    • Ng. Seng Hooi
    • Kamarulafizam Bin Ismail
    • M. Mailah
    • Md. Rizman
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.26.22153
  • Seismocardiography, accelerometer, heart disease, cardiovascular

  • Abstract

    This paper reviews on the non-invasive cardiac diagnostic method using accelerometer. Currently, the clinical cardiac diagnostic tools that are available are acoustic stethoscope, electrocardiogram (ECG) and echocardiography. The ECG represents cardiac electrical activities that provide important information to diagnose diseases such as myocardial ischemia, infarction and arrhythmias. However, it is not very helpful to diagnose cardiac contractility dysfunction and valvular diseases. Echocardiography provides alternative solution to the problem. Based on the principle of ultrasound imaging, it can precisely capture the heart images that works in real-time. Nevertheless, it comes with high operational cost and requires a specialist who is an expert and properly trained. It is also not immediately available in most hospital and medical institutions. This review will emphasize on the technological trends of devices that are able to capture heart related diseases. The usage of accelerometer has gained lots of attention as its ability to detect micro-vibration is outstanding. It is placed on the surface of the chest and listens to the vibrations, which are produced by the operations of the valves. The ability to pick up such information somehow depends on many factors such as the sensor sensitivity, the sensor placement method, position and the extraction algorithm used. Each of these factors will be discussed and compared. 

     

     

  • References

    1. [1] Direct, A. U. (2011). Limitation of ECG/EKG Machines. Retrieved from www.amperordirect.com: https://www.amperordirect.com/pc/help-ecg-monitor/z-ecg-limitations.html

      [2] D. H. PHAN, S. B. (2008). Estimation of respiratory waveform and heart rate using an accelerometer. IEEE EMBS Conference Vancouver (pp. 4916-4919). British Comlubia: IEEE.

      [3] MojtabaJafariTadi, T. M. (2014). Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging. International Journal of Biomedical Imaging , 1-10.

      [4] Mojtaba Jafari Tadi, E. T. (2016, September 28). A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms. Physiological Measurement, pp. 1885-1909.

      [5] Johan Vertens, F. F. (2015). Measuring Respiration and Heart Rate using Two Acceleration Sensors on
      a Fully Embedded Platform. Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support, 15-23

      [6] Fumio Nogata, Y. Y. (2011). Heart Motion Visualized From Chest Vibration Based on Multi-Channel Signal Processing. IEEE, 2218-2221.

      [7] He, F. I. (2006). Accelerometer-Based Method For Cardiac Function and Therpahy Assessment. United States Patent Application Publication, 1-9.

      [8] Lifesciences, E. (2018). heartvalves. Retrieved from YourHeartValve.com: http://www.yourheartvalve.com/heartbasics/pages/heartvalves.aspx

      [9] Zanetti J, S. a. (1991). Seismocardiography for monitoring changes in left ventricular function during ischemia Chest . CHEST, 991-993.

      [10] Miguel A García-González, A. A (2013). A Comparison of Heartbeat Detectors for the Seismocardiogram. Computing in Cardiology, pp. 461-464.

      [11] Rabbani H, M. F. (2011). R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, Hilbert transform, and adaptive thresholding. J. Med. Signals Sensors , 91-8.

      [12] Stork M. (2012, July 14-17). Hilbert–Huang transform and its applications in engineering and biomedical signal analysis. RECENT RESEARCHES in Circuit, pp. 14-7.

      [13] JIAPU PAN AND WILLIS J. TOMPKINS. (1985). A Real-Time QRS Detection Algorithm. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 230-236.

      [14] K. Pandia, O. T. Inan, G. T. A. Kovacs, and L. Giovangrandi (2012), “Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometer,†Physiological Measurement, vol.33, no.10

      [15] Prasan Kumar Sahoo, H. K. (2018). On the Design of an Efï¬cient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signal. Sensors, 1-28.

      [16] Kouhyar Tavakolian, A. P. (2010). Estimation of hemodynamic parameters from Seismocardiogram. computing in cardialogy (pp. 1-4). Canada: Kouhyar Tavakolian

      [17] Salerno, D.M. & Zanetti, J. (1990). Seismocardiography: A new technique for recording cardiac vibrations. Concept, method, and initial observations. 9. 111-118.

  • Downloads

  • How to Cite

    Seng Hooi, N., Bin Ismail, K., Mailah, M., & Rizman, M. (2018). A Review on Vibration Analysis of Seismocardiography (SCG). International Journal of Engineering & Technology, 7(4.26), 132-135. https://doi.org/10.14419/ijet.v7i4.26.22153

    Received date: 2018-11-29

    Accepted date: 2018-11-29

    Published date: 2018-11-30