scholarly journals Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea

2003 ◽  
Vol 50 (10) ◽  
pp. 1143-1151 ◽  
Author(s):  
T. Penzel ◽  
J.W. Kantelhardt ◽  
L. Grote ◽  
J. Peter ◽  
A. Bunde
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Sleep Apnea ◽  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Detrended Fluctuation

Relationship between detrended fluctuation analysis and spectral analysis of heart-rate variability

2002 ◽  
Vol 23 (2) ◽  
pp. 385-401 ◽  
Author(s):  
Keith Willson ◽  
Darrel P Francis ◽  
Roland Wensel ◽  
Andrew J S Coats ◽  
Kim H Parker
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Detrended Fluctuation

Detrended Fluctuation Analysis of Heart Rate Variability in Noise Exposure

2014 ◽  
Vol 1044-1045 ◽  
pp. 1129-1134 ◽  
Author(s):  
Shih Tsung Chen ◽  
Li Ho Tseng ◽  
Yuan Po Lee ◽  
Hong Zhun Wu ◽  
Chia Yi Chou
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Detrended Fluctuation Analysis ◽  
Low Frequency ◽  
Fluctuation Analysis ◽  
Frequency Noise ◽  
Cardiovascular Activity ◽  
Low Frequency Noise ◽  
Rr Intervals ◽  
Detrended Fluctuation

During the past two decades, most studies have employed questionnaires to characterize the effects of noise on behavior and health. Developments in physiological techniques have provided a noninvasive method for recording cardiovascular autonomic activity by using an electrocardiogram (ECG). We investigated cardiovascular activity changes in exposure to exposure to low-frequency noise for various noise intensities by using detrended fluctuation analysis (DFA) of heart rate variability (HRV). We hypothesized that distinct noise intensities would affect cardiovascular activity, which would be reflected in the HRV and DFA parameters. A total of 17 healthy volunteers participated in this study. The test intensities of noises were no noise, 70-dBC, 80-dBC, and 90-dBC. Each noise was sustained for 5 minutes and the ECG was recorded simultaneously. The cardiovascular responses were evaluated using DFA of the beat-to-beat (RR) intervals obtained from ECG signals. The results showed that the mean RR intervals variability and mean blood pressure did not substantially change relative to the noises. However, the short-term scaling exponent (α1) of the DFA of the background noise (no noise) condition was lower than the 70-dBC, 80-dBC and 90-dBC noises (P< 0.05, repeated measures analysis of variance). The α1of 90-dBC noise was significantly higher than the α1of BN condition according to a Mann–Whitney U test (P< 0.01). We concluded that exposure to low-frequency noise significantly affects the temporal correlations of HRV, but it does not influence RR intervals variability.

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