Towards Contactless Patient Positioning

摘要: The ongoing COVID-19 pandemic, caused by the highly contagious SARS-CoV-2 virus, has overwhelmed healthcare systems worldwide, putting medical professionals at a high risk of getting infected themselves due to global shortage personal protective equipment. This in-turn led understaffed hospitals unable handle new patient influx. To help alleviate these problems, we design and develop contactless positioning system that can enable scanning patients in completely remote fashion. Our key objective is reduce physical contact time with as much possible, which achieve our workflow. comprises automated calibration, positioning, multi-view synthesis components scan without proximity. calibration routine ensures all times be executed any manual intervention. novel robust dynamic fusion (RDF) algorithm for accurate 3D body modeling. With its multi-modal inference capability, RDF trained once used across different applications (without re-training) having various sensor choices, feature deployment scale. synthesizer visualization technician verify accuracy prior initiating scan. We conduct extensive experiments publicly available proprietary datasets demonstrate efficacy. already been used, had positive impact on, technicians on front lines expect see use increase substantially globally.