Clinical Trials in China / NCT05967546
Starting soon
Observational
Deep Learning for Intelligent Identification of Arrhythmias
NCT05967546 · tracked via the Priya Life Science China tracker
Condition(s) studied
Arrhythmia
Investigational drug(s) / intervention(s)
Observational
Observational: No interventions will be given to patients.
Study summary
This study aims to design and train a deep learning model for the diagnosis of different arrhythmias.
Eligibility
Inclusion Criteria:
* 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 Criteria:
* 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.
Primary outcome measure(s)
- A deep learning model designed to intelligently identify the types of arrhythmia. — 1 day after the enrollment.
The model is trained on the training set, the best model and hyperparameters are selected through the verification set, and finally the model results are tested on the test set.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| First Affiliated Hospital of Xi'an Jiantong University | Xi'an | Shaanxi |
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Official registry record
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT05967546 on ClinicalTrials.gov ↗ ← All trials in China