Accuracy of Rhythm Detection by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
- Conditions
- Atrial Fibrillation
- Interventions
- Other: AFib detection with wearable smart watch
- Registration Number
- NCT04499807
- Lead Sponsor
- Kansas City Heart Rhythm Research Foundation
- Brief Summary
It is an attempt to see the reliability of the Wearable Smart Watch in identifying atrial fibrillation and other arrhythmias compared to the data detected from ILRs.
- Detailed Description
The sensitivity, specificity, positive and negative predictive values for successful identification of normal sinus rhythm, atrial fibrillation and other rhythm disorders from the smart watch will compared to that of an ILR.
Recruitment & Eligibility
- Status
- TERMINATED
- Sex
- All
- Target Recruitment
- 16
- Age over 18 years old
- Patients who have an implantable loop recorder for heart rhythm monitoring purposes
- Having IOS iphone device that can be integrated into Apple Watch
- Willing to sign a consent form and participate in the study
- Hemodynamically unstable patients
- Over 90 years of age
- Presence of wrist tattoos
- Presence of AV fistula on the wrist on which the wearable is worn. (If the contralateral wrist is unaffected, those patients can be included)
- Presence of Implantable Cardiac Pacemaker and/or ICD
- Patients with Parkinsons disease or tremors
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Smart Watch AFib detection with wearable smart watch The patients will wear the Smart Watch to generate data to assess their rhythm as confirmed by the ILR done during the same time.
- Primary Outcome Measures
Name Time Method AFib detection with heart rate data measured by Smart Watch 5 months Heart rate data generated by Smart Watch is used to assess their rhythm as confirmed by the ILR done during the same time.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Kansas City Heart Rhythm Institute
🇺🇸Overland Park, Kansas, United States