AIMC Topic: Lower Body Negative Pressure

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Prediction of Occult Hemorrhage in the Lower Body Negative Pressure Model: Initial Validation of Machine Learning Approaches.

Military medicine Jul 3, 2024
INTRODUCTION: Detection of occult hemorrhage (OH) before progression to clinically apparent changes in vital signs remains an important clinical problem in managing trauma patients. The resource-intensiveness associated with continuous clinical patie...
Humans Machine Learning Hemorrhage Lower Body Negative Pressure
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1D Convolutional Neural Networks for Estimation of Compensatory Reserve from Blood Pressure Waveforms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose a Deep Convolutional Neural Network (CNN) architecture for computing a Compensatory Reserve Metric (CRM) for trauma victims suffering from hypovolemia (decreased circulating blood volume). The CRM is a single health indicator value that ra...
Humans Neural Networks, Computer Blood Pressure Hemorrhage Hypovolemia Blood Volume Lower Body Negative Pressure
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Detecting central hypovolemia in simulated hypovolemic shock by automated feature extraction with principal component analysis.

Physiological reports Nov 1, 2018
Assessment of the volume status by blood pressure (BP) monitoring is difficult, since baroreflex control of BP makes it insensitive to blood loss up to about one liter. We hypothesized that a machine learning model recognizes the progression of centr...
Humans Machine Learning Female Adult Male Principal Component Analysis Blood Pressure Hypovolemia Shock, Hemorrhagic Lower Body Negative Pressure
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