- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04341506
Non-contact ECG Sensor System for COVID19
September 8, 2020 updated by: Andrew Gostine, MD, Northwestern Medicine
Evaluating Non-contact ECG Sensor System for Early Detection of COVID19
The purpose of this study is two-fold.
First we would like to confirm that non-contact ECG provides equivalency to current contact methods of obtaining ECG data.
Second we would like to investigate whether non-contact ECG can detect ECG changes prior to the onset symptoms from COVID19.
Study Overview
Study Type
Observational
Enrollment (Anticipated)
100
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
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Illinois
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Chicago, Illinois, United States, 60610
- Recruiting
- Northwestern Medicine
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Contact:
- Andrew Gostine
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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
Sampling Method
Non-Probability Sample
Study Population
100 employees of Lake Forrest Memorial Hospital
Description
Inclusion Criteria:
- Any employee of Lake Forrest Memorial Hospital presenting to work
- Age greater than 18 years-old
Exclusion Criteria:
- Age less than 18 years-old
- Non-employee
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
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Participant ECG
The study has one arm, I.e., we will collect daily ECGs in 100 participants and track their ECG over three months.
We will then compare ECGs pre and post COVID-19 diagnosis in any participant diagnosed with COVID-19 to assess for any early ECG changes that may aid with diagnosing.
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A non-contact ECG will be used to detect a patient cardiac electrical activity.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
ECG changes associated with COVID-19
Time Frame: 3 months
|
Assess different ECG changes in participants diagnosed with COVID-10
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3 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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)
September 8, 2020
Primary Completion (Anticipated)
July 15, 2021
Study Completion (Anticipated)
December 15, 2021
Study Registration Dates
First Submitted
April 7, 2020
First Submitted That Met QC Criteria
April 7, 2020
First Posted (Actual)
April 10, 2020
Study Record Updates
Last Update Posted (Actual)
September 9, 2020
Last Update Submitted That Met QC Criteria
September 8, 2020
Last Verified
September 1, 2020
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 20-0407
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
product manufactured in and exported from the U.S.
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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