Status:

NOT_YET_RECRUITING

Deep Learning for Intelligent Identification of Arrhythmias

Lead Sponsor:

First Affiliated Hospital Xi'an Jiaotong University

Collaborating Sponsors:

521 Hospital of NORINCO Group

Shaanxi Provincial People's Hospital

Conditions:

Arrhythmia

Eligibility:

All Genders

3+ years

Brief Summary

This study aims to design and train a deep learning model for the diagnosis of different arrhythmias.

Detailed Description

This study aims to retrospectively and prospectively collect routine clinical data such as electrocardiograms from patients with arrhythmias who meet the inclusion and exclusion criteria. Then we will...

Eligibility Criteria

Inclusion

  • For retrospective study: 1.Patients with arrhythmia diagnosed by routine surface 12-lead electrocardiogram or Holter; 2.The type of arrhythmia is diagnosed by intracardiac electrophysiological examination.
  • For prospective study: 1.Patients with arrhythmia diagnosed by routine surface 12-lead electrocardiogram or Holter; 2.Intracardiac electrophysiological examination is planned.

Exclusion

  • Lack of routine surface 12-lead electrocardiogram or holter data;
  • Lack of intracardiac electrophysiological examination;
  • Patients refused to sign informed consent and refused to participate in the study.

Key Trial Info

Start Date :

December 30 2024

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

December 31 2028

Estimated Enrollment :

4000 Patients enrolled

Trial Details

Trial ID

NCT05967546

Start Date

December 30 2024

End Date

December 31 2028

Last Update

April 4 2024

Active Locations (1)

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First Affiliated Hospital of Xi'an Jiantong University

Xi'an, Shaanxi, China, 710061