Construction and evaluation of a predictive model for the types of sleep respiratory events in patients with OSA based on hypoxic parameters.

Journal: Sleep & breathing = Schlaf & Atmung
PMID: 39207665

Abstract

OBJECTIVE: To explore the differences and associations of hypoxic parameters among distinct types of respiratory events in patients with obstructive sleep apnea (OSA) and to construct prediction models for the types of respiratory events based on hypoxic parameters.

Authors

  • Cheng Peng
    School of Electrical and Mechanical Engineering, Hefei Technology College, Hefei, China.
  • Shaorong Xu
    The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Baoyuan Chen
    Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Yu Shi
    NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois.
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhongxing Zhou
    Biomedical Engineering Department, Tulane University, New Orleans, LA, United States; Tianjin University, School of Precision Instruments and Optoelectronics Engineering, Tianjin, China.

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