Validation of Software for Assessment of Atrial Fibrillation From Data Acquired by a Wearable Smartwatch
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ClinicalTrials.gov Identifier: NCT04176926 |
Recruitment Status :
Completed
First Posted : November 25, 2019
Last Update Posted : April 9, 2020
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Condition or disease | Intervention/treatment |
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Atrial Fibrillation | Diagnostic Test: Electrocardiogram |
Study Type : | Observational |
Actual Enrollment : | 472 participants |
Observational Model: | Case-Control |
Time Perspective: | Prospective |
Official Title: | Validation of Software for Assessment of Atrial Fibrillation From Data Acquired by a Wearable Smartwatch |
Actual Study Start Date : | October 29, 2019 |
Actual Primary Completion Date : | December 20, 2019 |
Actual Study Completion Date : | March 2, 2020 |

Group/Cohort | Intervention/treatment |
---|---|
Group 1: SR
Group 1: Subjects in the sinus rhythm (SR) cohort should not have any history of atrial fibrillation and should not be in atrial fibrillation or other atrial arrhythmia at the time of enrollment based on the screening ECG.
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Diagnostic Test: Electrocardiogram
Diagnostic Test: Simultaneous assessment of heart rhythm by 12-lead ECG and wearable device characterization of heart rhythm. |
Group 2: AF
Group 2: Subjects in the atrial fibrillation (AF) cohort must have a known history of AF and must be in AF at the time of enrollment based on the screening ECG.
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Diagnostic Test: Electrocardiogram
Diagnostic Test: Simultaneous assessment of heart rhythm by 12-lead ECG and wearable device characterization of heart rhythm. |
- Evaluate the software algorithm's ability to classify a heart rhythm as sinus rhythm or atrial fibrillation from a waveform equivalent to a Lead I ECG. [ Time Frame: Through study completion, an average of 4 months ]Sensitivity and specificity of the software algorithm in classifying sinus rhythm and atrial fibrillation from the equivalent of a Lead I ECG waveform, compared with physician's interpretation of a standard 12-lead ECG. Performance goals are 90% (sensitivity) and 92% (specificity)
- Confirm the software's ability to produce a waveform clinically equivalent to a Lead I ECG from a clinical reference device (12-lead ECG). [ Time Frame: Through study completion, an average of 4 months ]
Qualitative assessment of the software produced waveform to reference Lead I from 12-lead ECG. Goal is >0.80 of strips appear to overlay to the unaided eye.
Comparison of R-wave amplitudes between the Fitbit waveform and the clinical reference. Goal is >0.80 of R-wave amplitudes to be within 2mm.

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Ages Eligible for Study: | 22 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- Women and men 22 years of age or older
- Capable of giving informed consent
- Sufficient manual dexterity to capture an ECG from the Fitbit wrist-worn device.
- Subjects in the atrial fibrillation (AF) cohort must have a known history of AF and must be in -AF at the time of enrollment based on the screening ECG
Exclusion Criteria:
- Anti-arrhythmic (rhythm control) medication use (such as amiodarone or flecainide)
- Cardiac pacemaker or implantable cardioverter-defibrillator
- History of a life-threatening rhythm such as ventricular tachycardia or ventricular fibrillation
- Subjects in the sinus rhythm (SR) cohort should not have any history of atrial fibrillation and should not be in atrial fibrillation or other atrial arrhythmia at the time of enrollment based on the screening ECG

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04176926
United States, District of Columbia | |
MedStar Washington Hospital Center | |
Washington, District of Columbia, United States, 20010 | |
United States, Florida | |
Bioclinica Research Orlando | |
Orlando, Florida, United States, 32806 | |
Bioclinica Research The Villages | |
The Villages, Florida, United States, 32162 | |
United States, Illinois | |
PMG Research of Dupage | |
Winfield, Illinois, United States, 60190 | |
United States, Iowa | |
PMG Research of McFarland | |
Ames, Iowa, United States, 50010 | |
United States, North Carolina | |
PMG Research of Rocky Mount | |
Rocky Mount, North Carolina, United States, 27804 | |
PMG Research of Piedmont Healthcare | |
Statesville, North Carolina, United States, 28625 | |
PMG Research of Wilmington | |
Wilmington, North Carolina, United States, 28401 | |
United States, South Carolina | |
PMG Research of Charleston | |
Mount Pleasant, South Carolina, United States, 29407 | |
Greece | |
Onassis Cardiac Surgery Center | |
Kallithea, Greece |
Principal Investigator: | Venkatesh Raman, MD | Medstar Health Research Institute |
Responsible Party: | Fitbit Inc |
ClinicalTrials.gov Identifier: | NCT04176926 |
Other Study ID Numbers: |
129-0360-01 |
First Posted: | November 25, 2019 Key Record Dates |
Last Update Posted: | April 9, 2020 |
Last Verified: | April 2020 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Atrial Fibrillation Arrhythmias, Cardiac Heart Diseases Cardiovascular Diseases Pathologic Processes |