Title :
Detrended Fluctuation Analysis: A Suitable Long-term Measure of HRV Signals in Children with Sleep Disordered Breathing
Author :
Krishnam, R. ; Nazeran, H. ; Chatlapalli, S. ; Haltiwanger, E. ; Pamula, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX
Abstract :
On the body surface the electric field generated by the cardiac muscles consists of electric potential maxima and minima that increase and decrease during each cardiac cycle. The recording of these electric potentials as a function of time is called electrocardiography, and the resulting signal is called the electrocardiogram (ECG). The ECG signal is used extensively as a low cost diagnostic tool to provide information concerning the heart´s state of health. Reliable and accurate detection of the QRS complex and R wave peak in ECG signals is essential in computer-based ECG analysis. In this paper we evaluate the significance of detrended fluctuation analysis (DFA) for studying heart rate variability in children with sleep disordered breathing. An enhanced Hilbert transform (EHT) algorithm was used to derive the heart rate variability (HRV) signal. We compare the DFA values with approximate entropy and Poincare plots of HRV signals as these are very useful in characterization and visualization of HRV data. Our data demonstrated differences in DFA parameters between periods of normal and abnormal breathing and also between sleep stages. These results suggest that DFA is suitable for the long-term analysis of non-stationary time series such as HRV signals and may also be applied in the detection of sleep disordered breathing
Keywords :
Hilbert transforms; Poincare mapping; bioelectric potentials; electrocardiography; entropy; fluctuations; medical signal processing; muscle; paediatrics; pneumodynamics; sleep; time series; HRV signals; Poincare plots; QRS complex; R wave peak; approximate entropy; cardiac cycle; cardiac muscles; children; detrended fluctuation analysis; electric potential; electrocardiogram; electrocardiography; enhanced Hilbert transform algorithm; heart rate variability; heart rate variability signal; nonstationary time series; sleep disordered breathing; Costs; Doped fiber amplifiers; Electric potential; Electrocardiography; Fluctuations; Heart rate variability; Muscles; Pediatrics; Signal analysis; Sleep; Biomedical Signal Procssing; Detrended Fluctuation Analysis (DFA); Heart Rate Variability (HRV); Sleep Apnea;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616632