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临床试验/NCT04176926
NCT04176926已完成不适用

Validation of Software for Assessment of Atrial Fibrillation From Data Acquired by a Wearable Smartwatch

Fitbit LLC10 个研究点 分布在 2 个国家目标入组 472 人开始时间: 2019年10月29日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
Fitbit LLC
入组人数
472
试验地点
10
主要终点
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.

研究概览

简要总结

The goal of this study is to validate the Fitbit ECG software algorithm's ability to detect atrial fibrillation using data derived from a Fitbit wrist-worn consumer device that features a single lead ECG. The performance of the software application will be measured against centralized Core Lab physician-adjudicated 12-lead ECG tracings from FDA cleared ECG monitors as reference standards. The Fitbit software is intended as a pre-screening technology. It should identify candidates who may benefit from further evaluation. The software is not intended to be a diagnostic system.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
22 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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

排除标准

  • 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

结局指标

主要结局

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.

时间窗: 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)

次要结局

  • Confirm the software's ability to produce a waveform clinically equivalent to a Lead I ECG from a clinical reference device (12-lead ECG).(Through study completion, an average of 4 months)

研究者

发起方
Fitbit LLC
申办方类型
Industry
责任方
Sponsor

研究点 (10)

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