Publications associées à Critical care nursing

Quantitative T2 Mapping of Acute Pancreatitis

Background: Quantification of the T2 signal by means of T2 mapping in acute pancreatitis (AP) has the potential to quantify the parenchymal edema. Quantitative T2 mapping may overcome the limitations of previously reported scoring systems for reliable asse ...

Wiley2024

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Nahal Mansouri, Sahand Jamal Rahi

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objecti ...

FRONTIERS MEDIA SA2022

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

Henry Markram, Emmanuelle Logette, Samuel Claude Kerrien, Enrico Scantamburlo, Daniel Keller, Jay Coggan, Cyrille Pierre Henri Favreau, Francesco Casalegno, Mohameth François Sy, Anna-Kristin Kaufmann, Pierre-Alexandre Fonta, Marine Laure Bertschy

SARS-CoV-2 started spreading toward the end of 2019 causing COVID-19, a disease that reached pandemic proportions among the human population within months. The reasons for the spectrum of differences in the severity of the disease across the population, an ...

FRONTIERS MEDIA SA2021

In vivo application and validation of a novel noninvasive method to estimate the end-systolic elastance

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Accurate assessment of the left ventricular (LV) systolic function is indispensable in the clinic. However, estimation of a precise index of cardiac contractility, i.e., the end-systolic elastance (E-es), is invasive and cannot be established as clinical r ...

2021

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Alexandre Massoud Alahi

Early and frequent patient mobilization substantially mitigates risk for post-intensive care syndrome and long-term functional impairment. We developed and tested computer vision algorithms to detect patient mobilization activities occurring in an adult IC ...

Springer2019

Noninvasive measurement of stroke volume changes in critically ill patients by means of electrical impedance tomography

Jean-Philippe Thiran, Fabian Braun, Mathieu Lemay, Martin Proença

Previous animal experiments have suggested that electrical impedance tomography (EIT) has the ability to noninvasively track changes in cardiac stroke volume (SV). The present study intended to reproduce these findings in patients during a fluid challenge. ...

SPRINGER HEIDELBERG2020

Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients

Yun Wang, Christine Choirat

Importance: Hospitals that serve poorer populations have higher readmission rates. It is unknown whether these hospitals effectively lowered readmission rates in response to the Hospital Readmissions Reduction Program (HRRP). Objective: To compare pre-post ...

2019

Music in premature infants enhances high-level cognitive brain networks

Dimitri Nestor Alice Van De Ville, Djalel Eddine Meskaldji, François Lazeyras

Neonatal intensive care units are willing to apply environmental enrichment via music for preterm newborns. However, no evidence of an effect of music on preterm brain development has been reported to date. Using resting-state fMRI, we characterized a circ ...

National Academy of Sciences2019

Contactless Respiration Monitoring in Real-Time via a Video Camera

Alia Lemkaddem, Martin Bertschinger, Olivier Grossenbacher

Until today, vital signs monitoring in neonatal intensive care units (NICUs) is based on wired sensors, known to cause discomfort and false alarms. In view of overcoming such issues we investigate a contactless method for respiration monitoring by means of ...

SPRINGER-VERLAG SINGAPORE PTE LTD2018

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Sibylle Fallet

Photoplethysmography (PPG)-based monitoring devices will probably play a decisive role in healthcare environment of the future, which will be preventive, predictive, personalized and participatory. Indeed, this optical technology presents several practical ...

EPFL2018

Noninvasive Stroke Volume Monitoring by Electrical Impedance Tomography

Fabian Braun

In clinical practice it is of vital importance to track the health of a patient's cardiovascular system via the continuous measurement of hemodynamic parameters. Cardiac output (CO) and the related stroke volume (SV) are two such parameters of central inte ...

EPFL2018

Paradigm-Shifting Players for IoT: Smart-Watches for Intensive Care Monitoring

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Eleonora Lavalle

Wearable devices, e.g. smart-watches, are gaining popularity in many fields and in wellness monitoring too. In this paper we propose an IoT application to alert the medical doctor assigned to a critical unit by using a smart-watch. The wearable device impr ...

2016

Wireless Monitoring of Endogenous and Exogenous Biomolecules on an Android Interface

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Irene Taurino, Cristina Boero, Camilla Baj-Rossi, Grégoire Casimir Joseph Surrel, Stefano Riario

Monitoring patients in intensive care units is generally expensive and time consuming. A prompter medical intervention for those critical patients is a key factor for their safety. Therefore, a system that offers immediate visualization of the monitored da ...

Institute of Electrical and Electronics Engineers2016

Patient MoCap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications

Alexandru Eugen Ichim, Huseyin Coskun

Motion analysis is typically used for a range of diagnostic procedures in the hospital. While automatic pose estimation from RGB-D input has entered the hospital in the domain of rehabilitation medicine and gait analysis, no such method is available for be ...

2016

Wireless Monitoring in Intensive Care Units by a 3D-Printed System with Embedded Electronics

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Irene Taurino, Danilo Demarchi, Stefano Riario, Flavia Basilotta

The design, realization, and preliminary test of a portable wireless system for measuring key metabolites (e.g., glucose, lactate, calcium, potassium, etc..) in intensive cure monitoring is presented. The system is composed by a 3D-Printed case, which incl ...

2015

First in vivo application and evaluation of a novel method for non-invasive estimation of cardiac output

Nikolaos Stergiopoulos, Orestis Vardoulis

Surgical or critically ill patients often require continuous assessment of cardiac output (CO) for diagnostic purposes or for guiding therapeutic interventions. A new method of non-invasive CO estimation has been recently developed, which is based on press ...

Elsevier2014

Predicting Acute Hypotensive Episodes

Jean-Marc Vesin, Mathieu Lemay, Florian Jousset

The goal of the challenge 2009 is to predict which patients will experience acute hypotensive episode (AHE) within a forecast window. AHE may result in dangerous complications and even death. Predicting the onset of AHE would be of clear benefit to a patie ...

2009