0
Special Section Technical Briefs

Continuous Balance Assessment of Autonomic Nervous System Using Time-Varying Analysis of Heart Rate Variability1

[+] Author and Article Information
Ajay K. Verma, Reza Fazel-Rezai

Department of Electrical Engineering,
University of North Dakota,
Grand Forks, ND 58202

Sergio D. Cabrera

Department of Electrical and Computer Engineering,
University of Texas at El Paso,
El Paso, TX 79902

DOI: 10.1115/1.4033144Manuscript received March 1, 2016; final manuscript received March 16, 2016; published online May 12, 2016. Editor: William Durfee.

J. Med. Devices 10(2), 020933 (May 12, 2016) (2 pages) Paper No: MED-16-1065; doi: 10.1115/1.4033144 History: Received March 01, 2016; Revised March 16, 2016

First Page Preview

View Large
First page PDF preview
FIGURES IN THIS ARTICLE
Copyright © 2016 by ASME
Your Session has timed out. Please sign back in to continue.

References

Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, 1996, “ Heart Rate Variabilitiy: Standards and Measurements, Physiological Interpretation and Clinical Use,” Circulation, 93(5), pp. 1043–1065. [CrossRef] [PubMed]
Tarvainen, M. P. , Niskanen, J. , Liopponen, J. A. , Ranta-Aho, P. O. , and Karjalainen, P. A. , 2014, “ Kubios HRV-Heart Rate Variability Analysis Software,” Comput. Methods Prog. Biomed., 113(1), pp. 210–220. [CrossRef]
Kudrynski, K. , and Strumillo, P. , 2011, “ Real Time Estimation of Heart Rate Variability Parameters From Passband Filtered Interbeat Interval Series,” Computing in Cardiology Conference (CinC), Hangzhou, China, Sept. 18–21, pp. 297–300.
Tarvainen, M. P. , Georgiadis, S. , and Karjalainen, P. A. , 2005, “ Time Varying Analysis of Heart Rate Variability With Kalman Smoother Algorithm,” 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), Shanghai, China, Jan. 17–18, Vol. 3, pp. 2718–2721.
Tavakolian, K. , Dumont, G. A. , Houlton, G. , and Blaber, A. P. , 2014, “ Precordial Vibrations Provide Noninvasive Detection of Early Stage Hemorrhage,” Shock, 41(2), pp. 91–96. [CrossRef] [PubMed]
Laurin, A. , Blaber, A. , and Tavakolian, K. , 2013, “ Seismocardiograms Return Valid Heart Rate Variability Indices,” Computing in Cardiology Conference (CinC), Zaragoza, Spain, Sept. 22–25, pp. 413–416.
Verma, A. K. , Cabrera, S. D. , and Nazeran, H. , 2014, “ Spectral- and Time-Domain Analysis of Heart Rate Variability Signals From Multiple Photoplethysmographic (PPG) Sensors,” J. Mississippi Acad. Sci., 59(S1), pp. 351–354.
Verma, A. K. , 2014, “ A Robust Algorithm for Estimating the Balance of Autonomic Nervous System With Application to Mental Fatigue Detection,” M.S. thesis, The University of Texas at El Paso, El Paso, TX.
Latha, R. , Srikanth, S. , and Nissi Roja, E. D. , 2014, “ Effect of Music on Heart Rate Variability and Stress in Medical Students,” Int. J. Clin. Exp. Physiol., 1(2), pp. 131–134. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

Block diagram to compute time-varying LF/HF ratio

Grahic Jump Location
Fig. 2

Illustrations of results of Fig. 1 steps. HRV signal at 2 Hz (top left), frequency response of BP filter for LF and HF HRV component (top right), time-varying LF and HF HRV component (bottom left), and time-varying LF/HF ratio (bottom right) a marker of ANS balance.

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In