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Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network.

Hye-Mee KwonWoo-Young SeoJae-Man KimWoo-Hyun ShimSung-Hoon KimGyu Sam Hwang
Published in: Sensors (Basel, Switzerland) (2021)
We developed a new CNN deep-learning model to estimate SVV. Our CNN model seems to be a viable alternative when the necessary medical device is not available, thereby allowing a wider range of application and resulting in optimal patient management.
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