NDLI: Circadian and Ultradian Rhythms in Cardiac Autonomic Modulation

Content Provider	IEEE Xplore Digital Library
Author	Stein, P.K. Lundequam, E.J. Clauw, D. Freedland, K.E. Carney, R.M. Domitrovich, P.P.
Copyright Year	2006
Description	Author affiliation: Washington Univ. Sch. of Med., St. Louis, MO (Stein, P.K.; Lundequam, E.J.)
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
Sponsorship	IEEE EMB
Starting Page	429
Ending Page	432
File Size	254590
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.259558
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rhythm Heart rate variability Heart rate Neural networks Aging Frequency Hafnium Autonomic nervous system Sleep Curve fitting ultradian rhythms heart rate heart rate variability
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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