title: Heart rate variability on 7-day Holter monitoring using a bootstrap rhythmometric procedure.
abstract: Heart rate variability (HRV) markers have been widely used to characterize the autonomous regulation state of the heart from 24-h Holter monitoring, but long-term evolution of HRV indexes is mostly unknown. A dataset of 7-day Holter recordings of 22 patients with congestive heart failure was studied. A rhythmometric procedure was designed to characterize the infradian, circadian, and ultradian components for each patient, as well as circadian and ultradian fluctuations. Furthermore, a bootstrap test yielded automatically the rhythmometric model for each patient. We analyzed the temporal evolution of relevant time-domain (AVNN, SDNN, and NN50), frequency-domain (LF, HF, HFn, and LF/HF), and nonlinear (alpha(1) and SampEn) HRV indexes. Circadian components were the most significant for all HRV indexes, but the infradian ones were also strongly present in NN50, HFn, LF/HF, alpha(1), and SampEn indexes. Among ultradian components that one corresponding to 12 h, was the most relevant. Long-term monitoring of HRV conveys new potentially relevant rhythmometric information, which can be analyzed by using the proposed automatic procedure.
authors.affiliation: Department of Signal Theory and Communications, University Rey Juan Carlos, Fuenlabrada-28943, Madrid, Spain. rebeca.goyaesteban@urjc.es
authors.forename: Rebeca
authors.initials: R
authors.lastname: Goya-Esteban
authors.forename: Inmaculada
authors.initials: I
authors.lastname: Mora-Jiménez
authors.forename: José Luis
authors.initials: JL
authors.lastname: Rojo-Alvarez
authors.forename: Oscar
authors.initials: O
authors.lastname: Barquero-Pérez
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: Pastor-Pérez
authors.forename: Sergio
authors.initials: S
authors.lastname: Manzano-Fernández
authors.forename: Domingo A
authors.initials: DA
authors.lastname: Pascual-Figal
authors.forename: Arcadi
authors.initials: A
authors.lastname: García-Alberola
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D002940:Circadian Rhythm; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D009991:Oscillometry / Q000379:methods; D010507:Periodicity; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity