Ignite Creation Date:
2025-12-25 @ 3:47 AM
Ignite Modification Date:
2026-03-03 @ 10:17 AM
Study NCT ID:
NCT03662802
Status:
COMPLETED
Last Update Posted:
2020-11-06
First Post:
2018-09-05
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Development of a Novel Convolution Neural Network for Arrhythmia Classification
Sponsor:
Scripps Clinic
Organization:
Study Overview
Official Title:
Development of a Novel Convolution Neural Network for Arrhythmia Classification for Shockable Cardiac Rhythms
Status:
COMPLETED
Status Verified Date:
2020-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
AI-ECG
Brief Summary:
Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health. Recent developments in artificial intelligence and machine learning are providing new opportunities to rapidly and accurately diagnose cardiac arrhythmias and for how new mobile health and cardiac telemetry devices are used in patient care. The current investigation aims to validate a new artificial intelligence statistical approach called 'convolution neural network classifier' and its performance to different arrhythmias diagnosed on 12-lead ECGs and single-lead Holter/event monitoring. These arrhythmias include; atrial fibrillation, supraventricular tachycardia, AV-block, asystole, ventricular tachycardia and ventricular fibrillation, and will be benchmarked to the American Heart Association performance criteria (95% one-sided confidence interval of 67-92% based on arrhythmia type). In order to do so, the study approach is to create a large ECG database of de-identified raw ECG data, and to train the neural network on the ECG data in order to improve the diagnostic accuracy.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: