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http://dx.doi.org/10.1016/j.accpm.2015.02.003 | DOI Listing |
ERJ Open Res
November 2024
Anaesthesia and Intensive Care Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University, Catanzaro, Italy.
Introduction: High-frequency percussive ventilation (HFPV) is a ventilation mode characterised by high-frequency breaths. This study investigated the impact of HFPV on gas exchange and clinical outcomes in acute respiratory failure (ARF) patients during spontaneous breathing, noninvasive ventilation (NIV) and invasive mechanical ventilation (iMV).
Methods: This systematic review included randomised and nonrandomised studies up to August 2023.
Pediatr Pulmonol
January 2025
Division of Respiratory Care, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.
Children (Basel)
October 2024
Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, and New York Medical College, Valhalla, NY 10595, USA.
Pediatr Crit Care Med
September 2024
Ann and Robert H. Lurie Children's Hospital, Chicago, IL.
Objectives: Transcutaneous carbon dioxide (Tc co2 ) monitoring can noninvasively assess ventilation by estimating carbon dioxide ( CO2 ) levels in the blood. We aimed to evaluate the accuracy of Tc co2 monitoring in critically ill children by comparing it to the partial pressure of arterial carbon dioxide (Pa co2 ). In addition, we sought to determine the variation between Tc co2 and Pa co2 acceptable to clinicians to modify patient care and to determine which patient-level factors may affect the accuracy of Tc co2 measurements.
View Article and Find Full Text PDFHeliyon
August 2024
Computer Engineering Department, Istanbul Technical University, Maslak, 34467 Sarıyer, Istanbul, Turkey.
Intelligent robotic systems for patients with motor impairments have gained significant interest over the past few years. Various sensor types and human-machine interface (HMI) methods have been developed; however, most research in this area has focused on eye-blink-based binary control with minimal electrode placements. This approach restricts the complexity of HMI systems and does not consider the potential of multiple-activity decoding via static ocular activities.
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