Early prediction of hemodynamic shock in pediatric intensive care units with deep learning on thermal videos

V Vats, A Nagori, P Singh, R Dutt, H Bandhey… - Frontiers in …, 2022 - frontiersin.org
Shock is one of the major killers in intensive care units, and early interventions can
potentially reverse it. In this study, we advance a noncontact thermal imaging modality for
continuous monitoring of hemodynamic shock working on 1, 03,936 frames from 406 videos
recorded longitudinally upon 22 pediatric patients. Deep learning was used to preprocess
and extract the Center-to-Peripheral Difference (CPD) in temperature values from the
videos. This time-series data along with the heart rate was finally analyzed using Long-Short …

Early Prediction of Hemodynamic Shock in the Intensive Care Units with Deep Learning on Thermal Videos

V Vats, A Nagori, P Singh, R Dutt, H Bandhey… - medRxiv, 2020 - medrxiv.org
Shock is one of the major killers in Intensive Care Units and early interventions can
potentially reverse it. In this study, we advance a non-contact thermal imaging modality to
continuous monitoring of hemodynamic shock working on 103,936 frames from 406 videos
recorded longitudinally upon 22 patients. Deep learning was used to preprocess and extract
the Center-to-Peripheral Difference (CPD) in temperature values from the videos. This time-
series data along with heart rate was finally analyzed using Long-Short Term Memory …
以上显示的是最相近的搜索结果。 查看全部搜索结果