A multimodal deep learning-based algorithm for specific fetal heart rate events detection.

Journal: Biomedizinische Technik. Biomedical engineering
PMID: 39484683

Abstract

OBJECTIVES: This study aims to develop a multimodal deep learning-based algorithm for detecting specific fetal heart rate (FHR) events, to enhance automatic monitoring and intelligent assessment of fetal well-being.

Authors

  • Zhuya Huang
    School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
  • Junsheng Yu
    State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Ying Shan
    School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.

Keywords

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