Deep learning to recognize heart rhythm problems from heart tests
Part of Heart & circulation clinical trials.
This study uses “deep learning” (a type of computer pattern-finding) to identify different heart rhythm problems. It looks at results from routine heart rhythm recordings and, in some cases, a more detailed heart test to better label the rhythm.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have had an arrhythmia diagnosed on a 12-lead ECG or a Holter monitor
- You also have an intracardiac electrophysiology exam result (or one is planned)
- You have the routine 12-lead ECG or Holter recording available for review
- Your records include the intracardiac electrophysiology exam information
- You are willing to sign consent to participate (for studies needing consent)
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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