The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Interpretation of HRV by the Coupled-Oscillating Cardiac Control System

가상 심장박동 발진기를 활용한 심박변이도 해석

  • Jeung, Gyeo-Wun (School of Biomedical Eng., Konkuk University) ;
  • Kim, Jeong-Hwan (School of Biomedical Eng., Konkuk University) ;
  • Lee, Jun-Woo (School of Biomedical Eng., Konkuk University) ;
  • Kim, Kyeong-Seop (School of Biomedical Eng., Research Institute of Biomedical Eng., Konkuk University)
  • Received : 2015.12.23
  • Accepted : 2016.02.12
  • Published : 2016.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

Heart Rate Variability (HRV) represents beat-to-beat fluctuations of R-R intervals in Electrocardiogram (ECG). On of the clinical applications of HRV is to assess the mental-stress state by evaluating its power spectral density distribution. This study aims at finding new discriminative role of the coupled-oscillating coupling constants, Cs and Cp in the Integral Pulse Frequency Modulation (IPFM) model. Based on comparing with power spectral density of HRV in terms of the relative ratio of the low and high-frequency power component, we can conclude the fact that the coupling parameters Cs and Cp can replace the role of HRV power spectrum interpretation for judging the mental-stress state.

Keywords

References

  1. Marek Malik, "Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use," European Heart Journal, Vol. 17, pp. 354-381, 1996. https://doi.org/10.1093/oxfordjournals.eurheartj.a014868
  2. Jieun Lee, Jung K. Kim, Amy Wachholtz, "The benefit of heart rate variability biofeedback and relaxation training in reducing trait anxiety," The Korean Journal of Health Psychology, Vol. 20, No. 2, pp. 391-405, 2015. https://doi.org/10.17315/kjhp.2015.20.2.002
  3. Markad V. Kamath, Mari A. Watanabe, Adrian R. M. Upton, "Heart Rate Variability (HRV) Signal Analysis," CRC Press, 2013.
  4. Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Andreas Voss, Marimuthu Palaniswami, Poincare Plot Methods for Heart Rate Variability Analysis, Springer, May 2013.
  5. Sang-Eun Park, Jeong-Hwan Kim, Gyeo-Wun Jeung, Kyeong-Seop Kim, "Assesment of Heart Rate Variability by Integral Pulse Frequency Modulation Model," The Transactions of the Korean Institute of Electrical Engineers, Vol. 64, No. 5, pp. 799-804, 2015. https://doi.org/10.5370/KIEE.2015.64.5.799
  6. Richard Shiavi, Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications, Elsevier & Academic Press, 2007.
  7. Mika P. Tarvainen, Perttu O. Ranta-aho, Pasi A. Karjalainen, "An Advanced Detrending Method With Application to HRV Analysis," IEEE Transactions on Biomedical Engineering, Vol. 49, No. 2, pp. 172-175, February, 2002. https://doi.org/10.1109/10.979357
  8. Breno Quintella Farah, Wagner Luiz do Prado, Thiago Ricardo dos Santos Tenorio, Raphael Mendes Ritti-Dias, "Heart rate variability and its relationship with central and general obesity in obese normotensive adolescents," Einstein (Sao Paulo), Vol. 11, No. 3, pp. 285-290, 2013. https://doi.org/10.1590/S1679-45082013000300005
  9. Kyeong-Seop Kim, Seung-Won Shin, Jeong-Whan Lee, Heejung Choi, "The Assessment of Dynamic Mental Stress with Wearable Heart Activity Monitoring System," The Transaction of the Korean Institute of Electrical Engineers, Vol. 57, No. 6, pp. 1109-1115, 2008.
  10. Gholamreza Attarodi, Nader Jafarnia Dabanloo, Zahra Abbasvandi, Nazanin Hemmati, "A New IPFM Based Model For Artifitial Generating of HRV with Random Input," International Journal of Computer Science Issues, Vol. 10, Issue 2, No. 2, March, 2013.
  11. R. W. de Boer, J. M. Karemaker, "Spectrum of a series of point events, generated by the integral pulse frequency modulation model," Medical & Biological Engineering & Computing, Vol. 23, pp. 138-142, 1985. https://doi.org/10.1007/BF02456750