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Автор Andy Adler
Автор Pascal Gaggero
Автор Yasheng Maimaitijiang
Дата выпуска 2010-04-01
dc.description In this paper we propose a novel formulation for the distinguishability of conductivity targets in electrical impedance tomography (EIT). It is formulated in terms of a classic hypothesis test to make it directly applicable to experimental configurations. We test to distinguish conductivity distributions σ<sub>2</sub> from σ<sub>1</sub>, from which EIT measurements are obtained with added white Gaussian noise with covariance Σ<sub>n</sub>. In order to distinguish the distributions, we must reject the null hypothesis , which has a probability based on the z-score: . This result shows that distinguishability is a product of the impedance change amplitude, the measurement strategy and the inverse of the noise amplitude. This approach is used to explore different current stimulation strategies.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт © 2010 IOP Publishing Ltd
Название Distinguishability in EIT using a hypothesis-testing model
Тип paper
DOI 10.1088/1742-6596/224/1/012056
Electronic ISSN 1742-6596
Print ISSN 1742-6588
Журнал Journal of Physics: Conference Series
Том 224
Первая страница 12056
Последняя страница 12059
Выпуск 1

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