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Deep Learning for Intelligent Identification of Arrhythmias — ECG-LEARNING  

Arrhythmia Clinical Trial

Official title:
Deep Learning for Intelligent Identification of Arrhythmias (ECG-LEARNING): an Investigator-initiated, National Multicenter, Retrospective-prospective, Cohort Study

Clinical Trial Summary

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

Clinical Trial 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 design and train a deep learning model to analyse the electrocardiographic features of the arrhythmias, and identify the types of arrhythmias and evaluate the value of the model for the diagnosis of different arrhythmias. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05967546
Study type Observational
Source First Affiliated Hospital Xi'an Jiaotong University
Contact Guoliang Li, M.D.
Phone +8613759982523
Email liguoliang_med@163.com
Status Not yet recruiting
Phase
Start date December 30, 2024
Completion date December 31, 2028
View Details
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