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 |