Pulse wave signal-driven machine learning for identifying left ventricular enlargement in heart failure patients.

Journal: Biomedical engineering online
PMID: 38909231

Abstract

BACKGROUND: Left ventricular enlargement (LVE) is a common manifestation of cardiac remodeling that is closely associated with cardiac dysfunction, heart failure (HF), and arrhythmias. This study aimed to propose a machine learning (ML)-based strategy to identify LVE in HF patients by means of pulse wave signals.

Authors

  • Dandan Wu
    College of Life Science and Bio-Engineering, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing 100124, China.
  • Ryohei Ono
    Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
  • Sirui Wang
    Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba 263-8522, Japan.
  • Yoshio Kobayashi
    Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
  • Koichi Sughimoto
    Department of Cardiovascular Surgery, Chiba Kaihin Municipal Hospital, Chiba, Japan.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.

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