HIWI - Optimal PEEP finding from EIT

HIWI-Optimal PEEP finding from EIT is the python code for the HIWI. The main task is to evaluate the recruitable alveolar collapse and hyperdistension by electrical impedance tomography (Costa, 2009) and find the optimal PEEP for the patient. To generate the required EIT data for the evaluation, user have to run the Holoshed alogorithm then extract the data manually and store as the .txt file.

Author: Wei-Teng Kao, [email protected]

Required library

• Open source:
  1. vtk
  2. numpy
  3. pandas
  4. scipy

Use the package manager pip to install open source library.

pip install vtk

• Self-written library
  1. PEEP_Ppleateau_detect_lib
  2. OptimalPEEP_lib

Generate EIT.txt data from HoloShed algorithm

• EIT ReadMe

Example

• SMART2 CASE

Reference

Costa EL, Borges JB, Melo A, Suarez-Sipmann F, Toufen C Jr, Bohm SH, Amato MB. Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography. Intensive Care Med. 2009 Jun;35(6):1132-7. doi: 10.1007/s00134-009-1447-y. Epub 2009 Mar 3. PMID: 19255741.