Conductive Hydrogel Electrodes for Delivery of Long-Term High Frequency Pulses von Staples, Naomi A, Goding, Josef A, Gilmour, Aaron D, Aristovich, Kirill Y, Byrnes-Preston, Phillip, Holder, David S, Morley, John W, Lovell, Nigel H, Chew, Daniel J, Green, Rylie A

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Investigation of potential artefactual changes in measurements of impedance changes during evoked activity: implications to electrical impedance tomography of brain function von Aristovich, Kirill Y, Dos Santos, Gustavo S, Holder, David S

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Imaging fast electrical activity in the brain with electrical impedance tomography von Aristovich, Kirill Y., Packham, Brett C., Koo, Hwan, Santos, Gustavo Sato dos, McEvoy, Andy, Holder, David S.

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A method for reconstructing tomographic images of evoked neural activity with electrical impedance tomography using intracranial planar arrays von Aristovich, Kirill Y, Santos, Gustavo Sato dos, Packham, Brett C, Holder, David S

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Beneficial techniques for spatio-temporal imaging in electrical impedance tomography von Boyle, Alistair, Aristovich, Kirill, Adler, Andy

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Noise-based correction for electrical impedance tomography von Mason, Kai, Maurino-Alperovich, Florencia, Holder, David, Aristovich, Kirill

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Bi-frequency symmetry difference electrical impedance tomography a novel technique for perturbation detection in static scenes von McDermott, Barry, Avery, James, O'Halloran, Martin, Aristovich, Kirill Y, Porter, Emily

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Non-invasive imaging of neural activity with magnetic detection electrical impedance tomography (MDEIT): a modelling study von Mason, Kai, Aristovich, Kirill Y, Holder, David S

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Solution of the Forward Problem in Magnetic-Field Tomography (MFT) Based on Magnetoencephalography (MEG) von Khan, S.H., Aristovich, K.Y., Borovkov, A.I.

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Overcoming temporal dispersion for measurement of activity-related impedance changes in unmyelinated nerves von Tarotin, Ilya, Mastitskaya, Svetlana, Ravagli, Enrico, Perkins, Justin D, Holder, David S, Aristovich, Kirill Y

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Solution of the Forward Problem in Magnetic-Field Tomography (MFT) Based on Magnetoencephalography (MEG) von KHAN, Sanowar H, ARISTOVICH, Kirill Y, BOROVKOV, Alexey I

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