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August 30, 2024Physiological Measurement

Predicting stroke volume variation using central venous pressure waveform: a deep learning approach

Insun Park Jae Hyon Park Bonwook Koo Jinhee Kim Young Tae Jeon Hyo‐Seok Na Ah‐Young Oh

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Abstract

This study evaluated the predictive performance of a deep learning approach to predict stroke volume variation (SVV) from central venous pressure (CVP) waveforms.

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Cite This Study

Park et al. (2024) studied this question.

synapsesocial.com/papers/68e5a3f8b6db64358753e307 https://doi.org/10.1088/1361-6579/ad75e4

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Networkother · 2021 · 16 citations
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