Sleep ECGs may help predict heart risks
A study found that ECGs taken during sleep, combined with sleep stage data, may be used to assess future heart risks. The model was trained on data from sleep studies and showed potential for early detection.
This could help identify heart risks in people without known conditions, though more research is needed.
- sponsor
- the National Institutes of Health
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What was measured
The model used ECG data collected during sleep and paired it with information about sleep stages to predict future cardiac events.
Study type
The research was supported by the NIH and used data from sleep studies, though the exact number of participants was not specified.
Common questions
Can this model be used for heart risk screening?
The model is still in research and has not been validated for use in clinical screening.
Who might benefit from this research?
People with no known heart conditions but who may be at risk could potentially benefit from early detection methods.
Sources
- Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes MedicalXpress · medicalxpress.com
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