This is a prospective, non-randomized study to refine the Study Watch's algorithm for AF detection within both persistent and paroxysmal AF subjects. The study will also collect data from an FDA-cleared wearable ECG sensor.
Study Type
OBSERVATIONAL
Enrollment
160
Study Watch is a miniaturized physiological data monitoring and data collection device for continuous recording of physiological and environmental data
San Diego Cardiac Center
San Diego, California, United States
Estimate of the accuracy of algorithm based PPG irregular rhythm detection in a study population with a history of paroxysmal or persistent atrial fibrillation (AF)
Sensitivity estimate for PPG irregular rhythm detection vs. a multi-lead Holter ECG rhythm
Time frame: At least 60 minutes
PPG- and ECG-based continuous AF-detection algorithms on Study Watch in a free-living (home) setting by comparing the Study Watch data with an FDA-cleared wearable ECG sensor data.
Number of AF events identified from FDA-cleared ECG Device
Time frame: 14 days
Estimate of the accuracy of algorithm based PPG irregular rhythm detection in a study population with a history of paroxysmal or persistent atrial fibrillation (AF)
Predictive value estimate for PPG irregular rhythm detection vs. a multi-lead Holter ECG rhythm
Time frame: At least 60 minutes
Spontaneously-reported participant usability feedback for Study Watch and its ECG feature in a free-living (home) setting with the target AF population.
Qualitative listing of participant-reported feedback
Time frame: 14 days
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