Deep Learning for Intelligent Identification of Arrhythmias
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Observational.
- Who it may be relevant to
- Registry conditions: Arrhythmia. Basic parameters: from 3 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Deep Learning for Intelligent Identification of Arrhythmias (ECG-LEARNING): an Investigator-initiated, National Multicenter, Retrospective-prospective, Cohort Study
Overview
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 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.
Interventions
- Other Observational
No interventions will be given to patients.
Primary outcome measures
- A deep learning model designed to intelligently identify the types of arrhythmia. [Time frame: 1 day after the enrollment.]
Secondary outcome measures (1)
- The sensitivity, specificity and accuracy of the deep learning model [Time frame: 1 day after the enrollment.]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- First Affiliated Hospital of Xi'an Jiantong University — Xi'an
Identifiers
NCT: NCT05967546 · XJTU1AF2023LSK-170