Advances in electrical impedance tomography-based brain imaging

XY Ke, W Hou, Q Huang, X Hou, XY Bao… - Military Medical …, 2022 - Springer
Novel advances in the field of brain imaging have enabled the unprecedented clinical
application of various imaging modalities to facilitate disease diagnosis and treatment …

A review of EMG-, FMG-, and EIT-based biosensors and relevant human–machine interactivities and biomedical applications

Z Zheng, Z Wu, R Zhao, Y Ni, X Jing, S Gao - Biosensors, 2022 - mdpi.com
Wearables developed for human body signal detection receive increasing attention in the
current decade. Compared to implantable sensors, wearables are more focused on body …

Capacitively coupled electrical impedance tomography for brain imaging

YD Jiang, M Soleimani - IEEE transactions on medical imaging, 2019 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is considered as a potential candidate for brain
stroke imaging due to its compactness and potential use in bedside and emergency settings …

Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis

B McDermott, A Elahi, A Santorelli… - Physiological …, 2020 - iopscience.iop.org
Objective: Multi-frequency symmetry difference electrical impedance tomography (MFSD-
EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an …

Electrical Impedance tomography–recent applications and developments

S Mansouri, Y Alharbi, F Haddad… - Journal of Electrical …, 2021 - sciendo.com
Electrical impedance tomography (EIT) is a low-cost noninvasive imaging method. The main
purpose of this paper is to highlight the main aspects of the EIT method and to review the …

Residual convolutional neural network-based stroke classification with electrical impedance tomography

Y Shi, Z Tian, M Wang, Y Wu, B Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is an emerging technique for medical imaging.
According to reconstructed images, the human disease can be identified. Note that the …

Classification of stroke using neural networks in electrical impedance tomography

JP Agnelli, A Cöl, M Lassas, R Murthy… - Inverse …, 2020 - iopscience.iop.org
Electrical impedance tomography (EIT) is an emerging non-invasive medical imaging
modality. It is based on feeding electrical currents into the patient, measuring the resulting …

ACT5 electrical impedance tomography system

OR Shishvan, A Abdelwahab… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: This article introduces the Adaptive Current Tomograph 5 (ACT5) Electrical
Impedance Tomography (EIT) system. ACT5 is a 32 electrode applied-current multiple …

Neural networks for classification of strokes in electrical impedance tomography on a 3D head model

V Candiani, M Santacesaria - arXiv preprint arXiv:2011.02852, 2020 - arxiv.org
We consider the problem of the detection of brain hemorrhages from three dimensional (3D)
electrical impedance tomography (EIT) measurements. This is a condition requiring urgent …

Applied machine learning for stroke differentiation by electrical impedance tomography with realistic numerical models

J Culpepper, H Lee, A Santorelli… - Biomedical Physics & …, 2023 - iopscience.iop.org
Electrical impedance tomography (EIT) may have potential to overcome existing limitations
in stroke differentiation, enabling low-cost, rapid, and mobile data collection. Combining …