Aim: To analyze the correlation of the Poincaré plot descriptors of RR intervals with standard measures of heart rate variability (HRV) and spontaneous baroreflex sensitivity (BRS). A physiological model of changing respiratory rates from 6 to 15 breaths/min provided a wide range of RR intervals for analysis. Material and methods: Beat-to-beat finger blood pressure, ECG, and respiratory curves were recorded noninvasively in 15 young healthy volunteers (19-25 years old; 7 females) breathing for 5 min at 4 different respiratory rates of 6, 9, 12, and 15 breaths/ min. Four descriptors of the Poincaré plot (SD1, SD2, S, and SD2/SD1), time and frequency domain HRV, and spontaneous BRS (cross-correlation method) were calculated for each 5-min recording. Results: The values of SD1 characterizing short-term HRV, SD2 describing long-term HRV, and S measuring total HRV were significantly correlated with BRS and time and frequency domain measures of short, long, and total HRV. The LF/ HF significantly correlated with SD2 and SD2/SD1 representing the balance between long-and short-term HRV. None of the Poincaré plot descriptors was correlated with the mean RR interval. The increased respiratory rate caused a significant reduction of BRS, measures of total and long-term HRV, and an increase of HF that peaked at 12 breaths/min. Conclusions: The descriptors of the Poincaré plot of RR intervals are significantly correlated with measures of BRS and time and frequency domain HRV, but not with heart rate. A faster respiratory rate reduces long-term HRV measures and temporarily increases HF.Key words: Poincaré plot, heart rate variability, baroreflex sensitivity, respiratory sinus arrhythmia, paced breathing.The measurement of heart rate variability (HRV) is a valuable tool in both clinical practice and physiological research [1,2]. The assumption is that variability is inherent in heart rate, reflecting the ability of the cardiovascular system to adapt to external and internal changes. Multiple studies show that HRV is reduced in various diseases and old age. Indeed, reduced HRV has proven valuable in predicting mortality in the survivors of myocardial infarction [2,3]. In spite of its usefulness, there is no single accepted measure of HRV [1,3].The Poincaré plot of RR intervals is one of the recent methods of HRV analysis. It has also been used to measure the autonomic modulation and randomness of the heart rate [1,[4][5][6][7][8][9][10][11][12]. The Poincaré plot is a graphical representation of temporal correlations within the RR intervals derived from ECG [4,5]. In this plot (Fig. 1), each RR interval is a function of the preceding RR interval, i.e., the duration of the current cardiac beat (RR n ) is represented on the x axis, and the duration of the following beat (RR n+1 ) on the y axis, so each point (RR n , RR n+1 ) in the plot corresponds to two successive heart beats. Various descriptors are associated with this plot, some of which have a convincing physiological interpretation [5,6].In the present study we ai...