One objective of this paper is to confirm the coupling between heart rate (HR) changes and electroencephalographic (EEG) bursts (as reported for the first time in Pfurtscheller et al. [K. Pfurtscheller, G.R. Muller-Putz, B. Urlesberger, W. Muller, G. Pfurtscheller, Relationship between slow-wave EEG bursts and heart rate changes in preterm infants, Neurosci. Lett. 385 (2) (2005) 126-130]) in a larger group of preterm infants. Other objectives are to report on semi-automatic detection of burst-to-burst intervals (BBI, time period between the onsets of 2 consecutive EEG bursts) and on correlations between BBI and HR changes. A group of 34 preterm infants with a conceptional age (CA) of 35.9+/-0.6 weeks (mean+/-S.D.) was studied. Periods with a length of about 10 min with low HR variability and discontinuous EEG were selected from long-term EEG and ECG registrations and analyzed. From the automated detection of EEG bursts, an estimate for the mean burst-to-burst interval was obtained. EEG trials with a duration of 16s and a single EEG burst in the middle, were selected and averaged together with the corresponding instantaneous HR trials. It was found that preterm infants without evidence of neurological deficit and with normal development revealed a mean BBI of 13.4+/-2.6s (mean+/-S.D.) and a HR increase of 1.7+/-0.9 bpm (mean+/-S.D.) during the occurrence of EEG bursts. This HR increase is comparable with the earlier reported increase of 1.9+/-0.8 bpm. A significant negative correlation of r=0.453 (p<0.01) was found between BBI and HR increase and a positive correlation between CA and HRV (r=0.438, p<0.01) and between CA and HRI (r=0.452, p<0.01).