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AI forecasts heart risks via sleep ECG
A study has found that the electrical activity of the heart during the early stages of sleep, when the nervous system changes rapidly, can be used to identify future risks of cardiovascular diseases. The study is based on recording data from a single electrode attached to the chest during sleep, and employs artificial intelligence to analyze this data and predict the likelihood of a person developing arrhythmias, stroke, heart failure, or death within the next ten years. Experts have confirmed that this approach could potentially identify at-risk individuals before clinical symptoms appear, representing an important step toward improving methods of health risk prediction.
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