Affiliation:
1. Department of Cardiology, Karolinska Institutet at Karolinska Hospital, S-171 76 Stockholm, Sweden; and
2. Department of Surgery II, National Defense Medical College, Saitama 336-8522, Japan
Abstract
A salient feature of the normal sinus node activity is its prominent beat-to-beat variability, which shows self-similarity on different time scales (fractal dynamics). However, in patients with sinus node dysfunction, short-term time sinus cycles show exaggerated variability, the characteristics of which have not been analyzed. Therefore, Poincaré plots and power spectral analysis were applied to short-term variations of sinus cycles in 30 patients with and 30 patients without sinus node disease. Three patterns of behavior were observed in sick sinus patients: type 1, completely normal ( n = 3); type 2, randomlike pattern in the Poincaré plots with “white noise” power spectra ( n = 9); and type 3, a transitional pattern, characterized by remnants of normal behavior mixed with scattered points ( n = 18). In control subjects, only type 1 ( n = 27) and type 3 ( n = 3) patterns were observed, P < 0.0001. The power spectral changes in sinus node dysfunction are thus characterized by a loss of the inverse power law relationship, which both has implications for heart rate variability analysis and might offer a new diagnostic approach.
Publisher
American Physiological Society
Subject
Physiology (medical),Physiology
Cited by
41 articles.
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