Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network.

Journal: Respiratory research
Published Date: Jul 18, 2025

Abstract

BACKGROUND: The assessment of diaphragm function is crucial for effective clinical management and the prevention of complications associated with diaphragmatic dysfunction. However, current measurement methodologies rely on manual techniques that are susceptible to human error: How does the performance of an automatic diaphragm measurement system based on a segmentation neural network focusing on diaphragm thickness and excursion compare with existing methodologies?

Authors

  • Zhifei Li
    Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore; Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore; National University of Singapore (Suzhou) Research Institute, Suzhou, China.
  • Lin Mao
    Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Fan Jia
    College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
  • Shaohui Zhang
    School of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China.
  • Cuiping Han
    College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
  • Shuiqiao Fu
    Department of Surgical Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Yueying Zheng
    Department of Anesthesiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Yonghua Chu
    Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
  • Zuobing Chen
    Department of Rehabilitation Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University; The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University; Department of Rehabilitation Medicine, Taizhou Hospital Affiliated to Wenzhou Medical University; czb1971@zju.edu.cn.
  • Daming Wang
    Department of Rehabilitation Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Huilong Duan
    The College of Biomedical Engineering and Instrument Science, Zhejiang University, 310027 Hangzhou, Zhejiang, China.
  • Yinfei Zheng
    College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China. zyfnjupt@zju.edu.cn.

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