A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings. (1st February 2016)

• Record Type: Journal Article
• Authors: Vairavan, S.; Ulusar, U.D.; Eswaran, H.; Preissl, H.; Wilson, J.D.; Mckelvey, S.S; Lowery, C.L.; Govindan, R.B.
• Is Part Of: Computers in biology and medicine. Volume 69(2016)
• Page Start: 44
• Page End: 51
• Publication Date: 2016-02-01
• Subjects: Fetal behavioral states -- Fetal heart rate pattern -- Fetal movement -- Fetal, sleep-awake states; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2015.11.017
• Languages: English
• ISSNs: 0010-4825

Abstract

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.