Deep Learning for Intelligent Identification of Arrhythmias
NCT05967546 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000
Last updated 2024-04-04
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
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