Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/11956,
  title    = {Comparison of Detrending Methods in Spectral Analysis of Heart Rate Variability},
  author    = {Liping Li and  Changchun Liu and  Ke Li and  Chengyu Liu},
  country   = {},
  institution={},
  abstract  = {Non-stationary trend in R-R interval series is
considered as a main factor that could highly influence the evaluation
of spectral analysis. It is suggested to remove trends in order to obtain
reliable results. In this study, three detrending methods, the
smoothness prior approach, the wavelet and the empirical mode
decomposition, were compared on artificial R-R interval series with
four types of simulated trends. The Lomb-Scargle periodogram was
used for spectral analysis of R-R interval series. Results indicated that
the wavelet method showed a better overall performance than the other
two methods, and more time-saving, too. Therefore it was selected for
spectral analysis of real R-R interval series of thirty-seven healthy
subjects. Significant decreases (19.94±5.87% in the low frequency
band and 18.97±5.78% in the ratio (p},
    journal   = {International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering},  volume    = {5},
  number    = {9},
  year      = {2011},
  pages     = {398 - 402},
  ee        = {http://waset.org/publications/11956},
  url       = {http://waset.org/Publications?p=57},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 57, 2011},
}