Aug 31, 2024 8:11 pm
Highlights
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A machine learning strategy is proposed for predicting cardiac function based on peripheral pulse waves.
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Two high-quality datasets are created for health- and cardiovascular disease-subject groups.
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The model enables the prediction of three cardiac function parameters fast and accurately.
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The model is validated through consistency analysis and comparison with clinical measurements.
https://www.sciencedirect.com/science/article/abs/pii/S0169260722000499