首页|Department of Anesthesiology and Intensive Care Reports Findings in Artificial N eural Networks (Automatic detection of CO2 rebreathing during BiPAP ventilation)
Department of Anesthesiology and Intensive Care Reports Findings in Artificial N eural Networks (Automatic detection of CO2 rebreathing during BiPAP ventilation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Neural Netw orks is the subject of a report. Accordingto news reporting from Bydgoszcz, Pol and, by NewsRx journalists, research stated, “Carbon dioxiderebreathing (CO reb reathing) significantly influences respiratory drive and the work of breathing d uringBiPAP ventilation. We analyzed CO movement during BiPAP ventilation to fin d a method of real timedetection of CO rebreathing without the need of CO conce ntration measurement sampled from the circuit(method expensive and not routinel y used).”
BydgoszczPolandEuropeArtificial Ne ural NetworksEmerging TechnologiesMachine Learning
NETL
NSTL
