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Titlebook: Hemodynamic Monitoring; Michael R. Pinsky,Jean-Louis Teboul,Jean-Louis Vin Textbook 2019 European Society of Intensive Care Medicine 2019

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21#
發(fā)表于 2025-3-25 07:17:06 | 只看該作者
Clinical Assessment of Hemodynamic Instabilityrly resolution of the cause and adequate timely treatment of the circulatory failure and thus prevents further organ damage and improves the chances of survival..In the early days of trauma and shock, doctors had very few tools to make a correct diagnosis. They used the basic skills of listening to
22#
發(fā)表于 2025-3-25 08:28:45 | 只看該作者
Assessment of the?Microcirculationn critically ill patients, the development of small handheld microscopes has allowed to demonstrate microvascular alterations, characterized by a decrease in vessel density, stopped flow or intermittent flow in capillaries, and heterogeneity between areas close by a few microns. The consequences of
23#
發(fā)表于 2025-3-25 13:00:19 | 只看該作者
SvO2/ScvO2mentation, urine output, and pulse quality can tell us a lot about the patient’s hemodynamic status. However, some very important features remain hidden even from the most experienced observer or become obvious only at their extremes. These are bicarbonate and lactate levels, hydrogen ion concentrat
24#
發(fā)表于 2025-3-25 17:30:42 | 只看該作者
25#
發(fā)表于 2025-3-25 23:22:40 | 只看該作者
26#
發(fā)表于 2025-3-26 01:38:55 | 只看該作者
27#
發(fā)表于 2025-3-26 05:56:29 | 只看該作者
Jukka Takalaated static multi-camera environment. It is based on particle filter methods using color features. The major contributions of the method are: multi-resolution tracking to handle strong and non-biased object motion by short term particle filters; stratified model consistency check by Kolmogorov-Smirn
28#
發(fā)表于 2025-3-26 11:13:54 | 只看該作者
29#
發(fā)表于 2025-3-26 13:14:18 | 只看該作者
30#
發(fā)表于 2025-3-26 17:50:16 | 只看該作者
Hollmann D. Aya,Maurizio Cecconion of the systems functionality. The EU project ASCENS has developed a comprehensive suite of foundational theories and methods for building autonomic systems. In this paper we specialise the EDLC process model of ASCENS to deal with planning and reinforcement learning techniques. We present the “AI
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