Abstract
This paper addresses the feasibility of transportable stroke detection devices based on Ultra-Wideband radar imaging. Advanced artefact removal and processing algorithms have been recently proposed for the specific application of stroke detection. However, their performance have been assessed using a simplified head model. This paper assess the performance of these algorithms using a more accurate 3D head model. Comparisons with other state-of-the-art algorithms confirm the effectiveness of these novel algorithms both in terms of accuracy of stroke localization and amount of artefacts not completely removed.
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