NL-OMON56279尚未招募不适用
Machine Learning and Artificial Intelligence for Early Detection of Stroke and Atrial Fibrillation - MAESTRIA-AFNET 10
Kompetenznetz Vorhofflimmern e.V./Atrial Fibrillation NETwork (AFNET)0 个研究点目标入组 150 人开始时间: 待定最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 150
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18 至 99（—）
入选标准
- •1. Patients with paroxysmal AF (clinically defined as AF episodes less than one
- •patients with persistent AF (clinically defined as AF episodes longer than one
- •or patients with permanent AF (no documented sinus rhythm or possibility to
- •restore sinus rhythm by any means).
- •2. Patient (or legally acceptable representative if applicable) provides
- •written Informed Consent to participate in the study. The patient has the
- •option to give separate consent to donate extra volume of blood during routine
- •blood collection, that can be used for biomedical research.
- •3. Patient is at least 18 years of age.
- •4. Patient must own a Smartphone with Apple iOS Version 14.5 (or higher) or
- •with Android Version 8.0 (or higher).
排除标准
- •1. Any disease that limits life expectancy to less than 1 year.
- •2. All persons unable to provide informed consent.
- •3. All persons exempt from participation in a study or trial by law.
- •4. Any medical or psychiatric condition which, in the Investigator*s opinion,
- •would preclude the participant from adhering to the protocol or completing the
- •study per protocol.
研究者
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