Title :
Frequency domain analysis of heart rate variability in sleep disordered breathing
Author :
Vijendra, S. ; Behbehani, K. ; Burk, J.R. ; Lucas, E.A. ; Dao, D.H. ; Nazeran, H.
Author_Institution :
Biomed. Eng. Program, Texas Univ., Fort Worth, TX, USA
Abstract :
Frequency domain analysis of the R-R intervals was performed in subjects with and without sleep disordered breathing (SDB). Data from Physionet´s Apnea-ECG database as well as data collected at our sleep disorders clinic were used for this study. 15-minute ECG epochs were selected from polysomnography data. Power spectrum analysis of the resampled R-R interval series (1.2 Hz) was performed using Welch´s averaged periodogram method. Normalized power in two bands, AB1 (0.019 to 0.071 Hz) and AB2 (0.019 to 0.036 Hz) were used to compare the impact of SDB events on the spectrum of R-R intervals. Normalized AB1 power produced a sensitivity of 76% and a specificity of 100% in the data from the Apnea-ECG database. The same parameter produced a sensitivity of 76% and specificity of 52% in the data collected at our sleep laboratory. This difference in the results may be attributed to the severity and duration of SDB events present in the two datasets.
Keywords :
electrocardiography; patient diagnosis; pneumodynamics; sleep; 15-minute ECG epochs; Physionet´s Apnea-ECG database; Welch´s averaged periodogram method; frequency domain analysis; heart rate variability; polysomnography; power spectrum analysis; sleep disordered breathing; sleep disorders; Biomedical engineering; Data analysis; Databases; Electrocardiography; Frequency domain analysis; Heart rate variability; Laboratories; Neural networks; Performance analysis; Sleep;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279572