Objectives: Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital.
Design: Single-site, observational cohort study.
Recent advances in remote-photoplethysmography (rPPG) have enabled the measurement of heart rate (HR), oxygen saturation (SpO), and blood pressure (BP) in a fully contactless manner. These techniques are increasingly applied clinically given a desire to minimize exposure to individuals with infectious symptoms. However, accurate rPPG estimation often leads to heavy loading in computation that either limits its real-time capacity or results in a costly setup.
View Article and Find Full Text PDFObjective: The primary purpose of this study was to compare the percentage of return of spontaneous circulation of in-flight cardiac arrest (IFCA) patients on admission to the emergency department (ED) who received in-flight standard cardiopulmonary resuscitation (s-CPR) versus automated cardiopulmonary resuscitation (a-CPR).
Setting: EMS helicopter (HEMS) service in Midwest USA.
Methods: This was a prospective, consecutive case series of adult patients who had IFCA of any cause managed with a-CPR between October 1, 2012, and February 8, 2016 (40 months), at a helicopter emergency medical service (HEMS) in the Midwestern United States.