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Quantitative beat-to-beat analysis of heart rate dynamics during exercise
Abstract
Beat-to-beat heart rate (HR) dynamics were studied by plotting each R-R interval as a function of the previous R-R interval (Poincare plot) during incremental doses of atropine followed by exercise for 10 subjects and during exercise without autonomic blockade for 31 subjects. A quantitative two-dimensional vector analysis of a Poincare plot was used by measuring separately the standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) and the standard deviation of continuous long-term R-R interval variability (SD2) as well as the SD1/SD2 ratio. Quantitative Poincare measures were compared with linear measures of HR variability (HRV) and with approximate entropy (ApEn) at rest and during exercise. A linear progressive reduction was observed in SD1 during atropine administration, and it remained almost at the zero level during exercise after a parasympathetic blockade. Atropine resulted in more variable changes in SD2 and the SD1/SD2 ratio, but during exercise after parasympathetic blockade, a progressive increase was observed in the SD1/SD2 ratio until the end of exercise. The SD1/SD2 ratio had no significant correlations with the frequency domain measures of HRV. However, the SD1/SD2 ratio had a modest correlation with ApEn at rest (r = -0.69, P < 0.001), but not during exercise (r = 0.27, P = NS). All measures of vagal modulation of HR decreased progressively until the ventilatory threshold level was reached, when sympathetic activation was reflected as changes in the SD1/SD2 ratio. These results show that quantitative two-dimensional vector analysis of a Poincare plot can provide useful information on vagal modulation of R-R interval dynamics during exercise that are not easily detected by linear summary measures of HRV or by ApEn.
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Cited by
Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880
An overview of heart rate variability metrics and norms
Shaffer, F., & Ginsberg, J. P. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00258 · Cited by 7,185
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability
Brennan, M., Palaniswami, M., & Kamen, P. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.959330 · Cited by 1,044
Heart Rate Variability ? A Historical Perspective
Billman, G. E. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00086 · Cited by 786
“One common non-linear technique graphs the sequence of normal R–R intervals using Poincaré (return or recurrence mapping) plots, where the beat (n) is plotted against the next beat (n + 1; Woo et al., 1994; Huikuri et al., 1996; Tulppo et al., 1996).”
Method
Metadata
- Authors
- Tulppo, M. P., Makikallio, T. H., Takala, T. E., Seppanen, T., & Huikuri, H. V.
- Venue
- American Journal of Physiology-Heart and Circulatory Physiology
- Publisher
- American Physiological Society
- Published
- 1996-07-01
- Volume
- 271
- Issue
- 1
- Pages
- H244-H252
- ISSN
- 0363-6135 (ISSN-L)
- 1522-1539
- OpenAlex
- W2150789152
- Cited by
- 813
- References
- 0
- FWCI
- 4.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tulppo, M. P., Makikallio, T. H., Takala, T. E., Seppanen, T., & Huikuri, H. V. (1996). Quantitative beat-to-beat analysis of heart rate dynamics during exercise. American Journal of Physiology-Heart and Circulatory Physiology. https://doi.org/10.1152/ajpheart.1996.271.1.h244
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