Accuracy of Rhythm Detection by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)

Kansas City Heart Rhythm Research Foundation16 enrolled

Overview

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.

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

OTHER

Masking

NONE

Enrollment

Conditions

Atrial Fibrillation

Interventions

AFib detection with wearable smart watchOTHER

Patients will transmit two rhythm strips every day through both the devices and additional transmission whenever they have symptoms (palpitations, skipped beats, shortness of breath and chest pain). The transmitted rhythm strips are de-identified and analyzed after assigning a unique ID for research purposes.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 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 Exclusion Criteria: * 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

Locations (1)

Kansas City Heart Rhythm Institute

Overland Park, Kansas, United States

Outcomes

Primary Outcomes

AFib detection with heart rate data measured by Smart Watch

Heart rate data generated by Smart Watch is used to assess their rhythm as confirmed by the ILR done during the same time.

Time frame: 5 months

Data from ClinicalTrials.gov

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