AI analyzes your ECG to help in high-risk heart rhythm cases
Part of Heart & circulation clinical trials.
This trial uses an AI program to review ECG heart-tracing data collected from short-term monitoring devices. It aims to see whether the AI can better detect concerning heart rhythm patterns in people who are high risk for heart rhythm or heart problems.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have had a concerning heart rhythm or ECG pattern, such as fast rhythms, abnormal ECG findings, or dangerous rhythm issues (or a related high-risk heart situation).
- You have a suspected or known heart problem (for example heart failure, past rhythm problems, coronary artery disease, cardiomyopathy, or you have a pacemaker/ICD).
- You have an ECG recording from a short-term medical heart monitor that includes at least one signal channel.
- You must be able to export your ECG tracing as raw data (the exact recording data), not just a summary.
- The ECG raw data you have must be available and of good enough quality for analysis, and you must agree to participate (or have a legal representative sign if you cannot 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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