A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings

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Vairavan S., ULUŞAR Ü. D., Eswaran H., Preissl H., Wilson J. D., Mckelvey S. S., ...Daha Fazla

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.69, ss.44-51, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 69
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.compbiomed.2015.11.017
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.44-51
  • Anahtar Kelimeler: Fetal behavioral states, Fetal heart rate pattern, Fetal movement, Fetal, sleep-awake states, HEART-RATE-VARIABILITY, MAGNETIC SENSOR SYSTEM, S-T SEGMENT, NERVOUS-SYSTEM, RISK FETUSES, DYNAMICS, MOVEMENT, PATTERNS
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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. (C) 2015 Elsevier Ltd. All rights reserved.