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Research Article

Sampling frequency of the RR interval time series for spectral analysis of heart rate variability

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Pages 263-272 | Published online: 09 Jul 2009

References

  • Stein, P. K., and Kleiger, R. E., 1999, Insights from the study of heart rate variability. Annual Review of Medicine, 50, 249–261.
  • Task Force of the European Society of Cardiology, and the North American Society of Pacing and Electrophy-siology, 1996, Heart rate variability-standards of measurement, physiological interpretation and clinical use. European Heart Journal, 17, 354–381.
  • Berntson, G. G., Bigger, J. T., Eckberg, D. L., Grossman, P., et al., 1997, Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34, 623–648.
  • Nabors-Oberg, R. E., Niayra, R. S., Sollers III, J. J., and Thayer, J. F., 2002, The effects of controlled smoking on heart-period variability: Investigating possible development of short-term tolerance using spectral analysis. IEEE Engineering in Medicine and Biology, 21, 65–70.
  • Thayer, J. F., and Siegle, G. J., 2002, Neurovisceral integration in cardiac and emotional regulation: A model of the central nervous system concomitants of heart-rate variability in humans. IEEE Engineering in Medicine and Biology, 21, 24–29.
  • Kallio, M., Suominen, K., Bianchi, A. M., Ma¨kikallio, T., Haapaniemi, T., Astafiev, S., Sotaniemi, K. A., Myllyla¨, V. V., and Tolonen, U., 2002, Comparison of heart rate variability analysis methods in patients with Parkinson’s disease. Medical & Biological Engineering & Computing, 40, 408–414.
  • Akselrod, S., Gordon, D., Ubel, F. A., Shanon, S. C., Barger, A. C., and Cohen, R. J., 1981, Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science, 213, 220–222.
  • Sayers, B., 1973, Analysis of heart rate variability. Ergonomics, 16, 17–32.
  • Pomeranz, B., Macaulay, R. J. B., Caudill, M. A., Kutz, I., Adam, D., Gordon, D., Kilborn, K. M., Barger, A. C., Shannon, D. C., Cohen, R. J., and Benson, H., 1985, Assessment of autonomic function in humans by heart rate spectral analysis. American Journal of Physiology, 248, H151–H153.
  • Lombardi, F., 1999, Heart rate variability: A contribution to a better understanding of the clinical role of heart rate. European Heart Journal Supplements, 1 (Suppl. H), H44–H51.
  • Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., Sanorone, G., Malfatto, G., Dell’orto, S., and Piccaluga, G., 1986, Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circulation Research, 59, 178–193.
  • DeBoer, R. W., Karemaker, J. M., and Strackee, J., 1985, Relationships between short term blood-pressure fluctuations and heart rate variability in resting subjects I: A spectral analysis approach. Medical & Biological Engineering & Computing, 23, 352–358.
  • Berger, R. D., Akselrod, S., Gordon, D., and Cohen, R. J., 1986, An efficient algorithm for spectral analysis of heart rate variability. IEEE Transactions on Biomedical Engineering, BME-33, 900–904.
  • DeBoer, R. W., Karemaker, J. M., and Strackee, J., 1984, Comparing spectra of a series of point events particularly for heart rate variability data. IEEE Transactions on Biomedical Engineering, BME-31, 384–387.
  • Lombardi, F., Colombo, A., and Fiorentini, C., 2000, Heart rate variability: a simple methodology with several unrecognized technical and methodological problems. In: Advances in Noninvasive Electrocardiographic Monitoring Techniques, edited by H.-H. Osterhues, V. Hombach and A. J. Moss (Netherlands: Kluwer Academic Publishers) pp. 289–295.
  • Hayano, J., Mukai, S., Sakakibara, M., Okada, A., Takata, K. and Fujinami, T., 1994, Effects of respiratory interval on vagal modulation of heart rate. American Journal of Physiology, 267 (Heart Circulation Physiology, 36), H33–H40.
  • Parati, G., Frattola, A., DiRienzo, M., and Mancia, G., 1996, Blood pressure variability: importance in research and in clinical hypertension. Arquivos Brasileiros de Cardiologia, 67, 131–133.
  • Tikkanen, P., 1999, Characterization and application of analysis methods for ECG and time interval variability data, PhD Dissertation, University of Oulo, Finland.
  • Keselbrener, L., and Akselrod, S., 1996, Selective discrete Fourier transform algorithm for time-frequency analysis: Method and application on simulated and cardiovascular signals. IEEE Transactions on Biomedical Engineering, 43, 789–802.
  • Altimiras, J., 1999, Understanding autonomic sympathova-gal balance from short-term heart rate variations. Are we analyzing noise? Comparative Biochemistry and Physiology. Part A, Molecular & Integrative Physiology, 124, 447–460.
  • Hilton, M. F., Bates, R. A., Godfrey, K. R., Chappell, M. J., and Cayton, R. M., 1999, Evaluation of frequency and time-frequency spectral analysis of heart rate variability as a diagnostic marker of the sleep apnea syndrome. Medical & Biological Engineering & Computing, 37, 760–769.
  • Novak, V., Novak, P., and Low, A., 1997, Time-frequency analysis of cardiovascular function and its clinical applications. In Clinical autonomic disorders, edited by P. A. Low (Philadelphia: Lippineon-Raven).
  • Head, G. A., Lukoshkova, E. V., Burke, S. L., Malpas, S. C., Lambert, E. A., and Janssen, B. J. A., 2001, Comparing spectral and invasive estimates of baroreflex gain: can power spectral analysis reproducibly estimate changes in baroreflex sensitivity? IEEE Engineering in Medicine and Biology Magazine, 20(2), 43–52.
  • Cammann, H., and Michel, J., 2002, How to avoid misinterpretation of heart rate variability power spectra? Computer Methods and Programs in Biomedicine, 68, 15–23.
  • Clifford, G. D., 2002, Signal processing methods for heart rate variability analysis. PhD Dissertation, St. Cross College, University of Oxford, UK.
  • Brown, T. E., Beightol, L. A., Koh, J., and Eckberg, D. L., 1993, Important influence of respiration on human R-R interval power spectra is largely ignored. Journal of Applied Physiology, 75, 2310–2317.
  • Saxena, S. C., Vinod, K., and Hamde, S. T., 2000, ECG data compression using non-redundant templates. IETE Technical Review, 17, 299–310.
  • Kulkarni, P. K., Vinod, K., and Verma, H. K., 1997, ECG data compression using fast Walsh transform and its clinical acceptability. International Journal of Systems Science, 28, 831–836.
  • Kulkarni, P. K., Vinod, K., and Verma, H. K., 1997, Direct data compression techniques for ECG signals: effect of sampling frequency on performance. International Journal of Systems Science, 28, 217–228.
  • Kulkarni, P. K., Vinod, K., and Verma, H. K., 1997, Diagnostic acceptability of FFT-based ECG data compression. Journal of Medical Engineering & Technology, 21, 185–189.
  • Laguna, P., Moody, G. B., and Mark, R. G., 1998, Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals. IEEE Transactions on Biomedical Engineering, 45, 698–715.
  • Moody, G. B., 1992, ECG-based indices of physical activity. Computers in Cardiology, 19, 403–406.
  • DeBoer, R. W., and Karemaker, J. M., 1985, Spectrum of a series of point events, generated by the integral pulse frequency modulation model. Medical & Biological Engineering & Computing, 23, 138–142.
  • Rompelman, O., and TenVoorde, B. J., 1995, Spectral analysis of fluctuations in heart rate and blood pressure. In Computer Analysis of Cardiovascular Signals, edited by M. DiRienzo, G. Mancia, G. Parati, A. Pedotti and A. Zanchetti (Amsterdam: IOS press), pp. 3–13.
  • Friedman, B. H., Allen, M. T., Christie, I. C., and Santucci, A. K., 2002, Validity concerns of common heart-rate variability indices: Addressing quantification issues in time-and frequency-domain measures of HRV. IEEE Engineering in Medicine and Biology Magazine, 21(4), 35–40.
  • TenVoorde, B. J., Faes, Th. J. C., and Rompelman, O., 1994, Spectra of data sampled at frequency modulated rates in application to cardiovascular signals; Part II: Evaluation of Fourier transform algorithms. Medical & Biological Engineering & Computing, 32, 71–76.
  • Harris, F. J., 1978, On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of IEEE, 66, 51–83.
  • Saxena, S. C., Vinod, K., and Hamde, S. T., 2002, QRS detection using new wavelets. Journal of Medical Engineering & Technology, 26, 7–15.
  • Vijaya, G., Vinod, K., and Verma, H. K., 1997, Artificial neural network based wave complex detection in electrocardiograms. International Journal of Systems Science, 28, 125–132.
  • Vijaya, G., Vinod, K., and Verma, H. K., 1998, ANN-based QRS-complex analysis of ECG. Journal of Medical Engineering & Technology, 22, 160–167.
  • Lyons, R. G., 1998, Understanding Digital Signal Processing. (New Delhi: Pearson Education (Singapore)).
  • Macfarlane, P. W., Coleman, E. N., Devine, B., Houston, A., McLaughlin, S. C., Aitchison, T. C., and Pomphrey, E. O., 1991, A new 12-lead pediatric ECG interpretation program. Journal of Electrocardiology, 23(Suppl.), 76–81.

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