Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology
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2023
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oai:localhost:PNK-71332023-03-24T04:07:01Z Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology Johannes, Enevoldsen Gavin L., Simpson Simon T., Vistisen Generalized additive models cardiac and respiratory cycles. CC BY Common physiological time series and waveforms are composed of repeating cardiac and respiratory cycles. Often, the cardiac effect is the primary interest, but for, e.g., fluid responsiveness prediction, the respiratory effect on arterial blood pressure also convey important information. In either case, it is relevant to disentangle the two effects. Generalized additive models (GAMs) allow estimating the effect of predictors as nonlinear, smooth functions. These smooth functions can represent the cardiac and respiratory cycles’ effects on a physiological signal. We demonstrate how GAMs allow a decomposition of physiological signals from mechanically ventilated subjects into separate effects of the cardiac and respiratory cycles. 2023-03-24T04:07:01Z 2023-03-24T04:07:01Z 2023 Book https://link.springer.com/article/10.1007/s10877-022-00873-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7133 en application/pdf Springer |
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Generalized additive models cardiac and respiratory cycles. |
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Generalized additive models cardiac and respiratory cycles. Johannes, Enevoldsen Gavin L., Simpson Simon T., Vistisen Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
description |
CC BY |
format |
Book |
author |
Johannes, Enevoldsen Gavin L., Simpson Simon T., Vistisen |
author_facet |
Johannes, Enevoldsen Gavin L., Simpson Simon T., Vistisen |
author_sort |
Johannes, Enevoldsen |
title |
Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
title_short |
Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
title_full |
Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
title_fullStr |
Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
title_full_unstemmed |
Using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
title_sort |
using generalized additive models to decompose time series and waveforms, and dissect heart–lung interaction physiology |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s10877-022-00873-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7133 |
_version_ |
1761278340474339328 |
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8.891695 |