Evaluating EIT, hdEEG, and iPhone Electrode Localization for Stroke Applications.

Abstract

This paper summarizes preliminary findings from a pilot study investigating the utility of combining electrical impedance tomography (EIT) with high-density electroencephalography (hdEEG) for aiding in the diagnosis or monitoring of stroke. A major effort in the work was developing a computational framework to produce high-fidelity subject-specific meshes with accurately registered electrode locations mapping the 256-electrode cap. Data was collected on seven acute stroke patients shortly after stabilization. We describe the workflow, registration, electrode-to-mesh and mesh-to-mesh errors, and initial EIT image reconstructions. Given the current computational complexities of the workflow, long-term stroke monitoring appears to be the best direction for further study.