Machine Learning in Atrial Fibrillation
Recruiting
Observational Study
Atrial Fibrillation
Arrhythmias, Cardiac
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 22 – 80
- Sex
- Any
- Study type
- Observational
- Participants needed
- 120 (estimated)
- Sponsor
- Stanford University · Other
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
Check Your Eligibility
About This Trial
Atrial fibrillation is a serious public health issue that affects over 5 million Americans (Miyazaka, Circulation 2006) in whom it may cause skipped beats, dizziness, stroke and even death. Therapy for AF is currently suboptimal, in part because AF represents several disease states of which few have been delineated or used to successfully guide management. This study seeks to clarify this delineat…
Trial Locations
Loading…
Loading trial locations…
Eligibility Criteria
Inclusion Criteria:
* undergoing ablation at Stanford of (a) paroxysmal AF (self-terminates \< 7 days), or (b) persistent AF (requires cardioversion to terminate).
* Per our clinical practice and guidelines (Calkins et al, Heart Rhythm 2012), patients will have failed or be intolerant of ≥ 1 anti-a…
Contacts