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Hypovolemia

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The effects of sternal intraosseous and intravenous administration of amiodarone in a hypovolemic swine cardiac arrest model.

American journal of disaster medicine
OBJECTIVE: This study compared the effects of amiodarone via sternal intraosseous (SIO) and intravenous (IV) routes on return of spontaneous circulation (ROSC), time to ROSC, concentration maximum (C), time to maximum concentration (T), and mean conc...

The effects of tibial intraosseous versus intravenous amiodarone administration in a hypovolemic cardiac arrest procine model.

American journal of disaster medicine
OBJECTIVE: This study compared the effects of amiodarone via tibial intraosseous (TIO) and intravenous (IV) routes on return of spontaneous circulation (ROSC), time to ROSC, maximum drug concentration (Cmax), time to maximum concentration (Tmax), and...

The comparison of humeral intraosseous and intravenous administration of vasopressin on return of spontaneous circulation and pharmacokinetics in a hypovolemic cardiac arrest swine model.

American journal of disaster medicine
INTRODUCTION: The American Heart Association (AHA) recommends intravenous (IV) or intraosseous (IO) vasopressin in Advanced Cardiac Life Support (ACLS). Obtaining IV access in hypovolemic cardiac arrest patients can be difficult, and IO access is oft...

A machine-learning based analysis for the recognition of progressive central hypovolemia.

Physiological measurement
OBJECTIVE: Traditional patient monitoring during surgery includes heart rate (HR), blood pressure (BP) and peripheral oxygen saturation. However, their use as predictors for central hypovolemia is limited, which may lead to cerebral hypoperfusion. Th...

Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

PloS one
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...

Detecting central hypovolemia in simulated hypovolemic shock by automated feature extraction with principal component analysis.

Physiological reports
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...

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
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...

AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.

Sensors (Basel, Switzerland)
The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to com...