The purpose of this protocol is to assess the sensitivity and specificity of a photoplethysmography (PPG)-based algorithm for the detection of atrial fibrillation as compared to a gold-standard assessment (wearable ECG patch) among a population of individuals with known atrial fibrillation and without known atrial fibrillation over a 7-day study period.
Atrial fibrillation (Afib) is the most common cardiac arrhythmia in the United States, affecting up to one in four individuals across the lifespan, and is associated with substantial morbidity and mortality. Fifteen percent of strokes in the United States are attributable to Afib, and nearly 20% of these occur in individuals with no prior Afib history. Because Afib is often paroxysmal, one-time screening is unlikely to capture those at risk. Thus, there has been an increasing interest in leveraging monitoring for Afib via wearable devices, which provide a novel method to detect Afib and determine the burden of Afib in the general population. Devices such as the WHOOP 4.0 strap use advanced sensors to detect pulse rate and other physiologic metrics in real-time. Given the high degree of pulse-rate variability in Afib, it is clear that algorithms evaluating data from these devices may be able to detect asymptomatic Afib. However, the sensitivity and specificity of the algorithm operating on data from the WHOOP 4.0 strap have not been formally evaluated in a clinical setting. The WHOOP strap measures changes in blood flow via photoplethysmography (PPG), from which timing between successive heartbeats ("beat-to-beat intervals") is measured. While normal sinus rhythm tends to display beat-to-beat intervals of similar magnitude, those of cardiac arrythmias are characterized by higher variability and may follow particular patterns. The primary objective of this study is to assess the sensitivity and specificity of the WHOOP Strap ANF 1.0 classification algorithm for the detection of Afib as compared to a gold-standard assessment (one-week ECG patch monitoring using the BioTel ePatch).
Study Type
OBSERVATIONAL
Enrollment
653
Subjects will receive both the WHOOP 4.0 Strap and the BioTel ePatch and will continuously wear each for one week. Data will be collected and analyzed by the study team upon return of the both devices from the subject.
Subjects will receive both the WHOOP 4.0 Strap and the BioTel ePatch and will continuously wear each for one week. Data will be collected and analyzed by the study team upon return of the both devices from the subject.
Yale University
New Haven, Connecticut, United States
Sensitivity of the PPG-based WHOOP ANF algorithm for detection of atrial fibrillation
Sensitivity is defined as the True Positives/(True Positives + False Negatives). A "true" atrial fibrillation reading will have an ECG patch reading consistent with sustained atrial fibrillation for at least 5 continuous minutes. A WHOOP ANF diagnosis of atrial fibrillation is defined as "atrial fibrillations" being detected using the internal algorithm. A true positive is defined as the count of individuals who have at least 1 window labelled as Afib by WHOOP ANF and which has 5+ minutes of continuous Afib as determined by the BioTel recording and confirmed by tachogram adjudication. A false negative is defined as individuals who do not have any windows labelled by WHOOP-ANF as having Afib but at least one window has 5+ minutes of continuous Afib as determined by the BioTel recording.
Time frame: 7 days of continuous wear of the WHOOP 4.0 Strap and BioTel ePatch immediately post enrollment
Specificity of the PPG-based WHOOP ANF algorithm for detection of atrial fibrillation
Specificity is defined as the True Negatives/(True Negatives + False Positives). A "true" atrial fibrillation reading will have an ECG patch reading consistent with sustained atrial fibrillation for at least 5 continuous minutes. A WHOOP ANF diagnosis of atrial fibrillation is defined as "atrial fibrillations" being detected using the internal algorithm. A true negative is defined as the count of individuals who do not have any windows labelled by WHOOP ANF as having Afib and none of these windows contain 5+ minutes of continuous Afib as determined by the BioTel recording. A false positive is defined as individuals who have windows labelled as Afib by WHOOP ANF but none of these windows contain 5 minutes or greater of continuous Afib as determined by BioTel recording or have 5+ minutes of continuous Afib as determined by BioTel recording but none can be verified by tachogram adjudication.
Time frame: 7 days of continuous wear of the WHOOP 4.0 Strap and BioTel ePatch immediately post enrollment
Concordance between WHOOP ANF and BioTel ePatch via epoch assessment
Comparison of each epoch by both WHOOP ANF and the BioTel ePatch for concordance using the following definitions: True Positive: An epoch detected by WHOOP ANF as "atrial fibrillation" that has \>=5 mins of AFib as detected by the ECG patch. True Negative: An epoch that is NOT labelled as "atrial fibrillation" by the WHOOP ANF and has \< 5 mins of AFib as detected by the ECG patch. Specificity of the algorithm on the epoch level: True Negative/(True Negatives + False Positives). Sensitivity of the algorithm on the epoch level: True Positives / (True Positives + False Negatives). Positive predictive value of the algorithm on the epoch level: True Positives / (True Positives + False Positives). Negative predictive value of the algorithm on the epoch level: True Negatives / (True Negatives + False Negatives).
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Time frame: 7 days of continuous wear of the WHOOP 4.0 Strap and BioTel ePatch immediately post enrollment