title: A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings.
abstract: We propose a novel computational approach to automatically identify the fetal heart rate patterns (fHRPs), which are reflective of sleep/awake states. By combining these patterns with presence or absence of movements, a fetal behavioral state (fBS) was determined. The expert scores were used as the gold standard and objective thresholds for the detection procedure were obtained using Receiver Operating Characteristics (ROC) analysis. To assess the performance, intraclass correlation was computed between the proposed approach and the mutually agreed expert scores. The detected fHRPs were then associated to their corresponding fBS based on the fetal movement obtained from fetal magnetocardiogaphic (fMCG) signals. This approach may aid clinicians in objectively assessing the fBS and monitoring fetal wellbeing.
authors.affiliation: Graduate Institute of Technology, University of Arkansas at Little Rock, AR, USA.
authors.forename: S
authors.initials: S
authors.lastname: Vairavan
authors.affiliation: Computer Engineering Department, Akdeniz University, Antalya, Turkey.
authors.forename: U D
authors.initials: UD
authors.lastname: Ulusar
authors.affiliation: Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, AR, USA; Division of Biomedical Informatics, University of Arkansas for Medical Sciences, AR, USA.
authors.forename: H
authors.initials: H
authors.lastname: Eswaran
authors.affiliation: Division of Biomedical Informatics, University of Arkansas for Medical Sciences, AR, USA; MEG Center, University of Tubingen, Tubingen, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Preissl
authors.affiliation: Graduate Institute of Technology, University of Arkansas at Little Rock, AR, USA.
authors.forename: J D
authors.initials: JD
authors.lastname: Wilson
authors.affiliation: Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, AR, USA.
authors.forename: S S
authors.initials: SS
authors.lastname: Mckelvey
authors.affiliation: Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, AR, USA.
authors.forename: C L
authors.initials: CL
authors.lastname: Lowery
authors.affiliation: Division of Fetal and Transitional Medicine, Fetal Medicine Institute, Children׳s National Health System, 111 Michigan Ave, NW Washington, DC 20010, USA. Electronic address: rgovinda@childrensnational.org.
authors.forename: R B
authors.initials: RB
authors.lastname: Govindan
mesh_terms: D005260:Female; D005333:Fetus; D006801:Humans; D053798:Magnetocardiography / Q000379:methods*; D011247:Pregnancy; D011263:Pregnancy Trimester, Third; D012815:Signal Processing, Computer-Assisted
keywords: Fetal behavioral states; Fetal heart rate pattern; Fetal movement; Fetal, sleep-awake states