title: Automatic identification of fetal breathing movements in fetal RR interval time series.
abstract: Fetal breathing movements are associated with respiratory sinus arrhythmia (RSA). We present an algorithm which processes RR interval time series in the time and frequency domain, identifying spectral peaks with characteristics consistent with fetal RSA. Tested on 50 data sets from the second and third trimester, the algorithm had a sensitivity of 96.1%, false positive rate 35.7%, false negative rate 3.9%. The characteristics of automatically and visually identified episodes were very similar and corresponded the expected changes over gestation. The method is suited for easy and reliable identification of fetal breathing movements.
authors.affiliation: Department of Biomagnetism, Grönemeyer Institute for Microtherapy, University of Witten/Herdecke, Germany. petervl@microtherapy.de
authors.forename: Peter
authors.initials: P
authors.lastname: Van Leeuwen
authors.forename: Anna
authors.initials: A
authors.lastname: Voss
authors.forename: Dirk
authors.initials: D
authors.lastname: Cysarz
authors.forename: Friedrich
authors.initials: F
authors.lastname: Edelhäuser
authors.forename: Dietrich
authors.initials: D
authors.lastname: Grönemeyer
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D005260:Female; D005323:Fetal Monitoring / Q000379:methods*; D005324:Fetal Movement / Q000502:physiology*; D006801:Humans; D053798:Magnetocardiography / Q000379:methods*; D011247:Pregnancy; D015656:Respiratory Mechanics / Q000502:physiology*; D056152:Respiratory Rate; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted