title: A new technique to determine the correlation between the QT interval and heart-rate for control and SIDS babies.
abstract: The ability of the autonomic  nervous system to alter the QT interval in response to heart rate changes is essential to cardiovascular control. An accurate way to determine the relation between QT intervals and their corresponding RR intervals is described. A computer algorithm measures the RR intervals using digital filtering and cross-correlating the QRS sections of consecutive waveforms. The QT intervals is calculated by choosing a section of, the ECG that includes the T wave and cross-correlating it with all the consecutive T waves. At least 4000 pairs of QT-RR intervals are computed for each subject and a best fit correlation function determines the relations between the QT and RR intervals. This technique enables to establish a precise correlation between RR and QT in order to distinguish between control and SIDS babies.
authors.affiliation: Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA.
authors.forename: D
authors.initials: D
authors.lastname: Sadeh
authors.forename: D C
authors.initials: DC
authors.lastname: Shannon
authors.forename: S
authors.initials: S
authors.lastname: Abboud
authors.forename: S
authors.initials: S
authors.lastname: Akselrod
authors.forename: R J
authors.initials: RJ
authors.lastname: Cohen
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000209:etiology; D001341:Autonomic Nervous System / Q000473:pathology / Q000502:physiology*; D004562:Electrocardiography; D001330:Electronic Data Processing; D005583:Fourier Analysis; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D007223:Infant; D008875:Middle Aged; D008991:Monitoring, Physiologic; D012815:Signal Processing, Computer-Assisted; D013398:Sudden Infant Death / Q000175:diagnosis* / Q000209:etiology / Q000473:pathology