title: Spectral and symbolic analysis of heart rate data during the tilt test.
abstract: Spectral analysis of heart rate sequences is commonly used to investigate neuroauthonomic control of heart rate by means of two indexes, the low and the high frequency power. For tilt test data of normal subjects we compare the spectral indexes with new indexes defined within the framework of symbolic analysis. We define two classes of binary words of length 4: the first class is related to "acceleration" of heart rate and the second class to "stationary behavior." The new indexes measure the change in frequency of the two classes before and after the tilt. Data analysis of 13 normal subjects shows that the behavior of the new indexes is in agreement with that of spectral ones.
authors.affiliation: Department of Mathematics, University of Rome La Sapienza, 00185 Rome, Italy. cammar@mat.uniromal.it
authors.forename: Camillo
authors.initials: C
authors.lastname: Cammarota
authors.forename: Enrico
authors.initials: E
authors.lastname: Rogora
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D018667:Tilt-Table Test / Q000379:methods*