Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study.

Journal: BMC medical informatics and decision making
Published Date: Dec 14, 2022

Abstract

BACKGROUND: Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of high false positive result from the visual interpretation has a significant contribution to unnecessary surgical delivery or delayed intervention.

Authors

  • Yared Daniel Daydulo
    Department of Biomedical Engineering, Dilla University Referral Hospital, Dilla, Ethiopia.
  • Bheema Lingaiah Thamineni
    School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia. bheema.lingaiah@ju.edu.et.
  • Hanumesh Kumar Dasari
    Department of Electronics and Communication, Rayalaseema University, Kurnool, Andhra Pradesh, India.
  • Genet Tadese Aboye
    School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.

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