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Clinical and Experimental Hypertension Volume 24, 2002 - Issue 1-2
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CORRELATION OF LORENZ SCATTERPLOTS WITH FREQUENCY-DOMAIN HEART RATE VARIABILITY

Toshiyuki Ueda Department of Internal Medicine I, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
,
Takaaki Nakatsu Division of Cardiology, Yashima General Hospital, Kagawa, Japan
,
Shinichi Yamane Division of Cardiology, Yashima General Hospital, Kagawa, Japan
,
Sekiko Kurazono Department of Medical Technology, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
,
Takashi Murakami Department of Internal Medicine I, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
,
Keiichi Mashima Division of Cardiology, Yashima General Hospital, Kagawa, Japan
,
Y. Tominaga Division of Cardiology, Yashima General Hospital, Kagawa, Japan
,
Naoki Mukouhara Department of Internal Medicine I, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
,
Shozo Kusachi Department of Internal Medicine I, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan; Department of Medical Technology, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
&
Takao Tsuji Department of Internal Medicine I, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama, 700-8558, Japan
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Pages 11-21 | Published online: 05 Jul 2002
 
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Abstract

Heart rate (HR) variability is important with respect to disease prognosis and the effects of drugs. Lorenz scatterplots provide a simple way to evaluate HR variability visually. The relation of Lorenz scatterplots to frequency-domain HR variability was examined in 75 Holter recordings and in simulated HR trends. The length of Lorenz scatterplots was double-exponentially correlated with total frequency and very-low frequency powers, with correlation coefficients (r) of 0.88. The width of Lorenz scatterplots was highly correlated with the high frequency power (r = 0.98). The sum of the width and length of Lorenz scatterplots was highly correlated with the total frequency power (r = 0.92). Identical results were obtained when simulated HR trends were used. In conclusion, Lorenz scatterplots provide a simple way to estimate the frequency-domain HR variability.

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