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2021_Seyffer_Investigating the precision of an induction-based localization system for medical applications.aux 22KB

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  187. \newlabel{fig:estimation_scaling_factor_1}{{14}{22}}
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  192. \newlabel{fig:estimation_scaling_factor_2}{{15}{23}}
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  200. \newlabel{sec:K-nearest interpolation test}{{5.2.2}{26}}
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  220. \newlabel{sub@fig:estimation_noise_2}{{(b)}{b}}
  221. \@writefile{lof}{\contentsline {figure}{\numberline {25}{\ignorespaces Investigating the localization error due to noise in the receiving coils for 2000 samples. P13 was attempted to localize which lies almost exactly in the centre of the localization area ($\pm 1 \textit {m}m$).\relax }}{31}\protected@file@percent }
  222. \@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {The localization object was placed in P13 (green). 2000 samples were recorded with the IndLoc system, resulting in 2000 slightly different positions, due to noise (black). The mean error is $\mu = 1.73\textit {m}m$.}}}{31}\protected@file@percent }
  223. \@writefile{lof}{\contentsline {subfigure}{\numberline{(b)}{\ignorespaces {A magnified view of the 2000 IndLoc positions shows how noise affects the localization. The positions lie within a $\Delta x = 0.253\textit {m}m$ by $\Delta y = 0.358\textit {m}m$ rectangle. The standard deviation is $\sigma = 0.04\textit {m}m$.}}}{31}\protected@file@percent }
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  227. \newlabel{fig:estimation_k_nearest_3}{{26}{32}}
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  229. \@writefile{toc}{\contentsline {section}{\numberline {7}DISCUSSION}{34}\protected@file@percent }
  230. \@writefile{toc}{\contentsline {section}{\numberline {8}SUMMARY, OUTLOOK INTO THE FUTURE}{35}\protected@file@percent }
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