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

BMC Medical Informatics and Decision Making

Research

Yared Daniel Daydulo¹  Hanumesh Kumar Dasari²  Bheema Lingaiah Thamineni³  Genet Tadese Aboye³ 

[1] Department of Biomedical Engineering, Dilla University Referral Hospital, Dilla, Ethiopia;Department of Electronics and Communication, Rayalaseema University, Kurnool, Andhra Pradesh, India;School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia;

关键词: CTG;    FHR;    Fetal distress;    Morse wavelet;    Deep learning;    Resnet50;   

DOI  :  10.1186/s12911-022-02068-1

 received in 2022-05-24, accepted in 2022-11-28,  发布年份 2022

来源: Springer

【 授权许可】

CC BY   
© The Author(s) 2022

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