title: Detrended fluctuation analysis: a suitable method for studying fetal heart rate variability?
abstract: We evaluate the suitability of an enhanced detrended fluctuation analysis for studying fetal heart rate series involving imperfect quality of information. Our results indicate that to explore persistent long-range correlations, or fractality, the collection requirements of the data can be relaxed by allowing the possibility of using averaged fetal heart rate series. In addition, it also appears feasible to employ, without producing major alterations in the long-range scaling behaviour, fragmented fetal heart rate series involving up to 50% of random missing values, or up to 50 min of consecutive missing samples in recordings of approximately equal to 8 h length. These are crucial advantages to overcome the often variable quality of fetal data. Consequently, these findings may open the possibility of obtaining information concerning the development of neural processes from fetal heart rate series, despite their non-stationary and fragmented nature.
authors.affiliation: School of Electrical and Electronic Engineering, University of Nottingham, Nottingham, UK. jcea@xanum.uam.mx
authors.forename: J C
authors.initials: JC
authors.lastname: Echeverría
authors.forename: B R
authors.initials: BR
authors.lastname: Hayes-Gill
authors.forename: J A
authors.initials: JA
authors.lastname: Crowe
authors.forename: M S
authors.initials: MS
authors.lastname: Woolfson
authors.forename: G D H
authors.initials: GD
authors.lastname: Croaker
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005240:Feasibility Studies; D005323:Fetal Monitoring / Q000379:methods*; D017709:Fractals; D006340:Heart Rate, Fetal / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes