A deep learning model based on combining surface and esophageal ECG data for diagnosis of paroxysmal supraventricular tachycardia - Top-Institutions - MDSpire

A deep learning model based on combining surface and esophageal ECG data for diagnosis of paroxysmal supraventricular tachycardia

  • By

  • Shuo Li

  • Bin Fu

  • Hui Chi

  • Liuping He

  • Lian Zeng

  • Anran Zhu

  • Yanqun Hou

  • Hongbin Pan

  • Tao He

  • Guoqiang Zhong

  • June 9, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    The First Affiliated Hospital of Guangxi Medical University
    The First Affiliated Hospital of Guangxi Medical University

    Nanning, Guangxi

    Key Differentiators

    • Cardiology

  • #2

    Liuzhou Worker’s Hospital
    Liuzhou Worker’s Hospital

    Liuzhou, Guangxi

    Key Differentiators

    • Cardiology

  • #3

    Nanxishan Hospital of Guangxi Zhuang Autonomous Region
    Nanxishan Hospital of Guangxi Zhuang Autonomous Region

    Nanning, Guangxi

    Key Differentiators

    • Cardiology

Original Source(s)

A deep learning model based on combining surface and esophageal ECG data for diagnosis of paroxysmal supraventricular tachycardia

  • by Shuo Li, Bin Fu, Hui Chi, Liuping He, Lian Zeng, Anran Zhu, Yanqun Hou, Hongbin Pan, Tao He, Guoqiang Zhong

  • June 9, 2026

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