Video-based Detection of Atrial Fibrillation

January 10, 2023 updated by: Jean-Philippe Couderc, University of Rochester

Home-based Videoplethysmographic Detection of Atrial Fibrillation

The project focuses on the evaluation of a novel, contactless monitoring technology to measure the blood pulsatile signal based on the video recording of an individual's face. The variability of the pulse rate is computed to identify the presence of atrial fibrillation (AF). We propose to enroll 315 patients with symptomatic AF, paroxysmal or persistent, who go through successful radiofrequency ablation or electrical cardioversion. A computer tablet will be used by the subjects at home during 14 days after their procedure to read emails, browse the internet and watch videos. Facial video recordings will be automatically acquired during these daily activities by the tablet device. The subject will be wearing an ECG patch during the follow-up period. The one-lead continuous ECG will be used as a reference to verify the presence of AF rhythm during facial video recordings. The primary aim of the study is to demonstrate the validity and robustness of the video-based technology to detect the presence of AF when facial videos are acquired by the patients at home.

Study Overview

Study Type

Interventional

Enrollment (Actual)

256

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • New York
      • Rochester, New York, United States, 14642
        • Strong Memorial Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Men and women older than 18 years of age,
  • Medically-managed for symptomatic AF (persistent or paroxysmal),
  • In sinus rhythm after their ablation procedure,
  • In sinus rhythm after trans-thoracic electrical cardioversion.

Exclusion Criteria:

  • Implanted with a device (pacemaker, CRT, ICD) and a ventricular pacing requirement superior or equal to 70%,
  • Known allergic reaction to adhesives or hydrogels or with a family history of adhesive skin allergies,
  • Unable to cooperate with the protocol due to dementia, psychological, or other related reason,
  • Refusing to sign the consent for participation,
  • Unable to operate the device such as blind patients.
  • Patients with Parkinson disease (or other central nervous system disorder/Tremor) who cannot record a stable video signal of their face.
  • The subject was previously enrolled in the current study.
  • The subject wears clothing covering the face, or uses facial makeup that will interfere with the quality of facial recordings.
  • Subject does not have internet access at home and lacks the technology to participate.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: All Participants
This project proposes to evaluate a non-contact video recording technology to detect the presence of AF. The technology extracts a pulsatile signal by measuring the subtle variations in skin color of a patient's face (flushing) due to the variations of blood volume underneath the skin. The technology uses a standard web camera. This technique is videoplethysmography (VPG).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area Under the Receiver Operating Characteristic Curve (AUC) for the Detection of Atrial Fibrillation
Time Frame: 2 weeks
The outcome measure is the AUC of the curve obtained from the ROC analysis. The curve is a combination of specificity and sensitivity of detecting atrial fibrillation. The range of the curve is 0.5-1.0 where 0.5 would be random detection of atrial fibrillation and 1.0 would be perfect performance.
2 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 24, 2018

Primary Completion (Actual)

June 30, 2021

Study Completion (Actual)

June 30, 2021

Study Registration Dates

First Submitted

February 10, 2020

First Submitted That Met QC Criteria

February 10, 2020

First Posted (Actual)

February 12, 2020

Study Record Updates

Last Update Posted (Actual)

January 27, 2023

Last Update Submitted That Met QC Criteria

January 10, 2023

Last Verified

January 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 68409

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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