Computer Aided Feature Extraction in the Paper Version of Luria’s Alternating Series Test in Progressive Supranuclear Palsy

Luria’s Alternating Series Test (AST) is a popular bedside graphomotor task used to assess set-shifting both in patients with focal brain damage and with neurodegenerative disease. Several approaches to automate its assessment are available, yet they require digitizers or other electronic devices. However, archived data from the past 60 years are stored only on paper. This pilot study concerns the extraction of the features from the paper version of AST using image processing algorithms.