AIMC Topic: Hypovolemia
Clear Filters Showing 1 to 10 of 11 articles
AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.
Sensors (Basel, Switzerland)
Mar 30, 2022
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...
Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.
PloS one
Mar 29, 2018
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 ...
A machine-learning based analysis for the recognition of progressive central hypovolemia.
Physiological measurement
Aug 21, 2017
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...
DETECTION OF HYPOVOLEMIA BY THE HYPOTENSION PREDICTION INDEX IS ASSOCIATED WITH GASTROINTESTINAL MICROCIRCULATION DYSFUNCTION IN A PORCINE MODEL OF HEMORRHAGE.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: Postoperative gastrointestinal (GI) dysfunction is a common complication following critical illness. The splanchnic circulation is sensitive to changes in volume status and is unduly impacted by volume loss compared to other organ systems...
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...
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...
The effects of sternal intraosseous and intravenous administration of amiodarone in a hypovolemic swine cardiac arrest model.
American journal of disaster medicine
Jan 1, 2016
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
Jan 1, 2016
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
Jan 1, 2016
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...
Effects of tibial intraosseous and intravenous administration of Hextend on time of administration and hemodynamics in a hypovolemic swine model.
American journal of disaster medicine
Jan 1, 2016
OBJECTIVE: To determine if there were significant differences between the tibial intraosseous (TIO) and intravenous (IV) administration of Hextend relative to time and in hemodynamics in a hypovolemic model.
Prospective Studies
Animals
Male
Stroke Volume
Swine
Hemodynamics
Time Factors
Cardiac Output
Systole
Sus scrofa
Shock
Plasma Substitutes
Hydroxyethyl Starch Derivatives
Tibia
Hypovolemia
Arterial Pressure
Treatment Outcome
Infusions, Intraosseous
Random Allocation
Diastole
Infusions, Intravenous
Fluid Therapy
Heart Rate
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823