Deep learning-enabled robust regional lung function assessment in mechanically ventilated AECOPD patients using EIT

Shuyang Jiang1, Liuqing Jiang2, Yiyao Chen1

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou, People's Republic of China.

Summary

A new deep learning tool, EITRE, reliably identifies optimal breaths for lung function assessment in mechanically ventilated patients. This improves measurement consistency for electrical impedance tomography (EIT) in acute exacerbations of chronic obstructive pulmonary disease (AECOPD).