Correlation of Lorenz scatterplots with frequency-domain heart rate variability.
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.
Ueda
Toshiyuki
T
Department of Internal Medicine, Okayama University Medical School, Okayama, Japan.
Nakatsu
Takaaki
T
Yamane
Shinichi
S
Kurazono
Sekiko
S
Murakami
Takashi
T
Mashima
Keiichi
K
Tominaga
Y
Y
Mukouhara
Naoki
N
Kusachi
Shozo
S
Tsuji
Takao
T
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016477:Artifacts; D002303:Cardiac Output, Low / Q000503:physiopathology; D003198:Computer Simulation; D015716:Electrocardiography, Ambulatory; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D017202:Myocardial Ischemia / Q000503:physiopathology; D017711:Nonlinear Dynamics; D012016:Reference Values; D013223:Statistics as Topic / Q000379:methods*