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Frequency modulation between low- and high-frequency components of the heart rate variability spectrum

  • Yuru Zhong , Kung-Ming Jan and Ki H. Chon
Published/Copyright: October 25, 2006
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 4

Abstract

Interactions among physiological mechanisms are abundant in biomedical signals, and they may exist to maintain efficient homeostasis. For example, sympathetic and parasympathetic neural activities interact to either elevate or depress the heart rate to maintain homeostasis. There has been considerable effort devoted to developing algorithms that can detect interactions between various physiological mechanisms. However, methods used to detect the presence of interactions between the sympathetic and parasympathetic nervous systems, to take one example, have had limited success. This may be because interactions in physiological systems are non-linear and non-stationary. The goal of this work was to identify non-linear interactions between the sympathetic and parasympathetic nervous systems in the form of frequency and amplitude modulations in human heart-rate data (n=6). To this end, wavelet analysis was performed, followed by frequency analysis of the resultant wavelet decomposed signals in several frequency brackets we define as: very low frequency (f<0.04 Hz), low frequency (0.04–0.15 Hz) and high frequency (0.15–0.4 Hz). Our analysis suggests that the high-frequency bracket is modulated by the low-frequency bracket in the heart rate data obtained in both upright and sitting positions. However, there was no evidence of amplitude modulation among these frequencies.


Corresponding author: Ki H. Chon, Department of Biomedical Engineering, SUNY at Stony Brook, HSC T18, Rm. 030, Stony Brook, NY, 11794-8181, USA Phone: +1-631-444-7286 Fax: +1-631-444-6646

References

1 Bianchi AM, Mainardi LT, Meloni C, Chierchia S, Cerutti S. Continuous monitoring of the sympatho-vagal balance through spectral analysis. IEEE Eng Med Biol Mag1997; 16: 64–73.10.1109/51.620497Search in Google Scholar

2 Chon KH, Raghavan R, Chen YM, Marsh DJ, Yip KP. Interactions of TGF-dependent and myogenic oscillations in tubular pressure. Am J Physiol Renal Physiol2005; 288: F298–307.10.1152/ajprenal.00164.2004Search in Google Scholar

3 Davies CT, Neilson JM. Sinus arrhythmia in man at rest. J Appl Physiol1967; 22: 947–955.10.1152/jappl.1967.22.5.947Search in Google Scholar

4 Huikuri HV, Koistinen MJ, Yli-Mayry S, et al. Impaired low-frequency oscillations of heart rate in patients with prior acute myocardial infarction and life-threatening arrhythmias. Am J Cardiol1995; 76: 56–60.10.1016/S0002-9149(99)80801-7Search in Google Scholar

5 Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol1987; 59: 256–262.10.1016/0002-9149(87)90795-8Search in Google Scholar

6 Levy MN. Sympathetic-parasympathetic interactions in the heart. Circ Res1971; 29: 437–445.10.1161/01.RES.29.5.437Search in Google Scholar

7 Sosnovtseva OV, Pavlov AN, Mosekilde E, Holstein-Rathlou NH, Marsh DJ. Double-wavelet approach to study frequency and amplitude modulation in renal autoregulation. Phys Rev E Stat Nonlin Soft Matter Phys2004; 70: 031915.10.1103/PhysRevE.70.031915Search in Google Scholar PubMed

8 Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 1996; 93: 1043–1065.Search in Google Scholar

Published Online: 2006-10-25
Published in Print: 2006-10-01

©2006 by Walter de Gruyter Berlin New York

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