Deep Learning for Intelligent Identification of Arrhythmias

NCT05967546 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000

Last updated 2024-04-04

No results posted yet for this study

Summary

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

Conditions

Interventions

OTHER

Observational

No interventions will be given to patients.

Sponsors & Collaborators

  • 521 Hospital of NORINCO Group

    collaborator OTHER
  • Shaanxi Provincial People's Hospital

    collaborator OTHER
  • Xiangyang Central Hospital

    collaborator OTHER
  • First Affiliated Hospital Xi'an Jiaotong University

    lead OTHER

Principal Investigators

  • Guoliang Li, M.D. · First Affiliated Hospital Xi'an Jiaotong University

Eligibility

Min Age
3 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-12-30
Primary Completion
2028-08-31
Completion
2028-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05967546 on ClinicalTrials.gov