Results 101 to 110 of about 296,332 (357)
Novel imaging revealing inner dynamics for cardiovascular waveform analysis via unsupervised manifold learning [PDF]
arXiv, 2019 Cardiovascular waveforms contain information for clinical diagnosis. By "learning" and organizing the subtle change of waveform morphology from large amounts of raw waveform data, unsupervised manifold learning helps delineate a high-dimensional structure and display it as a novel three-dimensional (3D) image.
arxiv
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction [PDF]
arXiv, 2021 The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. Machine learning techniques using clinical data such as chest X-rays have been used to predict which patients are most at risk of deterioration.
arxiv
Advanced Intelligent Systems, EarlyView.A robotic stylet is proposed based on a multisegment continuum mechanism for specialized assisting endotracheal intubation. Its geometric parameters are designed based on medical images and kinematic is derived. A prototype is fabricated, and its kinematics and application are experimentally verified. These robotic systems can improve accurate, secure,
Jiangzhen Guo +8 more
wiley +1 more source
Indian Journal of Anaesthesia, 2018 Background and Aims: The sniffing position has been most commonly used for positioning of the head and neck to facilitate tracheal intubation. However, the optimum degree of head elevation for the optimal laryngeal view is not well studied, especially in
Mridul Dhar +5 more
doaj +1 more source
Intubation and mechanical ventilation of patients with COVID-19: what should we tell them?
Monaldi Archives for Chest Disease, 2020 Severe COVID-19 illness is characterised by the development of Acute Respiratory Distress Syndrome (ARDS), for which the mainstay of treatment is represented by mechanical ventilation. Mortality associated with ARDS due to other causes is in the range of
Nicholas Zareifopoulos +4 more
doaj +1 more source
Comparison of Fentanyl and Clonidine for Attenuation of the Haemodynamic Response to Laryngocopy and Endotracheal Intubation [PDF]
Journal of Clinical and Diagnostic Research, 2013 Introduction: Laryngoscopy and tracheal intubation after the induction of anaesthesia, are nearly always associated with a sympathetic hyperactivity.
Sameenakousar, Mahesh, K.V. Srinivasan
doaj +1 more source
A Case Report of Angioedema and Anaphylactic Shock Induced by Ingestion of Polyethylene Glycol [PDF]
, 2020 Introduction: We report one of few documented cases of a severe anaphylactic reaction with angioedema to polyethylene glycol (PEG).Case Report: The patient presented 30 minutes after onset of his symptoms and quickly developed hypoxia and hypotension ...
Osborn, Lesley, Rossi, Amy
core
Management of Mechanical Ventilation in Decompensated Heart Failure. [PDF]
, 2016 Mechanical ventilation (MV) is a life-saving intervention for respiratory failure, including decompensated congestive heart failure. MV can reduce ventricular preload and afterload, decrease extra-vascular lung water, and decrease the work of breathing ...
Adams, Jason Y +4 more
core +4 more sources
Personalized Kirigami Strain Sensors for in vivo Applications
Advanced Intelligent Systems, EarlyView.Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You +7 more
wiley +1 more source
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data [PDF]
arXiv, 2019 Chest radiographs are frequently used to verify the correct intubation of patients in the emergency room. Fast and accurate identification and localization of the endotracheal (ET) tube is critical for the patient. In this study we propose a novel automated deep learning scheme for accurate detection and segmentation of the ET tubes.
arxiv