Automatic Drawing Analysis Of Figures Included In Neuropsychological Tests For The Assessment And Diagnosis Of Mild Cognitive Impairment

This proposal is framed within the group's general working line of applying artificial intelligence techniques to advance in early mild cognitive impairment diagnosis. If impairment in semantic production was studied in previous works, now we rely on the reduced ability to reproduce or copy simple figures, part of standardized neuropsychological tests designed to assess mild cognitive impairment. Although the long-term goal of this project is to work with all figures from these tests, in this paper we will focus on the automatic analysis of the alternating graphs figure. We develop a quantitative descrition of different features that appear to be very abstract in the test norms and define new features that are not considered so far. Results with just one figure are quite promising (77.7% precision and 77.1 recall).