DocumentCode :
471414
Title :
Circadian and Ultradian Rhythms in Cardiac Autonomic Modulation
Author :
Stein, Phyllis K. ; Lundequam, Eric J. ; Clauw, Daniel ; Freedland, Kenneth E. ; Carney, Robert M. ; Domitrovich, Peter P.
Author_Institution :
Washington Univ. Sch. of Med., St. Louis, MO
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
429
Lastpage :
432
Abstract :
Heart rate variability (HRV) patterns reflect the changing sympathetic and parasympathetic modulation of the autonomic nervous system. While overall and circadian heart rate (HR) and HRV are well characterized by traditional measures, ultradian cycles of HR and HRV are not. We have developed a method for capturing these rhythms during sleep and have now applied it to 24-hour recordings. HR/HRV for each 2-min was calculated using normal-to-normal (NN) interbeat intervals from 24-hour Holter recordings in 10 healthy subjects, aged 26plusmn2 yrs, 5M, 5F. HR, the standard deviation of NN intervals (SDNN2), high frequency power (HF) and the LF (low frequency power)/HF ratio were plotted. A curve-fitting algorithm, developed in MatLab, identified cyclic patterns of HR/HRV and extracted parameters to characterize them. Values were compared to those obtained in nighttime-only recordings in a set of 113 subjects, aged 58plusmn10 yrs, 65M, 48F. Cyclic ultradian cycles were observed for each HR/HRV index. They had variable correspondences with each other and none could be considered surrogates. Although the number of cycles over 24 hours was greater, the mean cycle duration/number of cycles per hour was similar in both sets of recordings. Each HR/HRV parameter has its own rhythm, and the correspondence between these rhythms varies greatly across subjects. Although further studies are needed, it appears that there are intrinsic rhythms of autonomic modulation of HR on an scale of about 50 mins that persist during both the day and nighttimes. Quantification of ultradian patterns of HRV from 24-hour recordings is feasible and could provide new insights into autonomic physiology
Keywords :
biological effects of optical radiation; cardiovascular system; circadian rhythms; curve fitting; electrocardiography; neurophysiology; sleep; 2 min; 24 hour; 50 mins; Holter recording; MatLab; autonomic nervous system; autonomic physiology; cardiac autonomic modulation; circadian rhythms; curve-fitting algorithm; cyclic ultradian cycles; heart rate variability patterns; identified cyclic patterns; intrinsic rhythms; normal-to-normal interbeat intervals; parameter extraction; parasympathetic modulation; sleep; sympathetic modulation; ultradian rhythms; Aging; Autonomic nervous system; Curve fitting; Frequency; Hafnium; Heart rate; Heart rate variability; Neural networks; Rhythm; Sleep; heart rate; heart rate variability; ultradian rhythms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259558
Filename :
4461778
Link To Document :
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