Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis.
Journal:
Physiological measurement
Published Date:
Aug 11, 2020
Abstract
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfully applied to identify the aetiology of stroke with the aid of machine learning.