Wearable sensors for patient -specific boundary shape estimation
Andrew Tizzard, Joo Moy Khor, Andreas Demosthenous, Richard H Bayford · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · 2014
It has been shown that accurate boundary form of the forward model is important to minimise artefacts in reconstructed EIT images. This paper presents a proposal for a wearable device based on a network of flexible sensors to evaluate patient-specific boundary form of the forward model for lung EIT. Simulation of approaches using ideal sensors are presented that reconstruct boundaries with low shape error.