Deep Learning for Intelligent Identification of Arrhythmias

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

4000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-12-30

Study Completion Date

2028-12-31

Brief Summary

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

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Detailed Description

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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.

Conditions

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Arrhythmia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Study Groups

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Experimental Group

ECG data and clinical data from this group of arrhythmia patients will be used to build a deep learning model.

Observational

Intervention Type OTHER

No interventions will be given to patients.

Interventions

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Observational

No interventions will be given to patients.

Intervention Type OTHER

Eligibility Criteria

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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.

Minimum Eligible Age

3 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No