Computer Aided Feature Extraction in the Paper Version of Luria’s Alternating Series Test in Progressive Supranuclear Palsy
| Autor: | Dariusz Wieczorek, Jarosław Sławek, Magda Dąbrowska, Emilia J. Sitek, Paula Stępień, Jacek Kawa |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
Speech recognition Feature extraction Paper version medicine.disease 030227 psychiatry Progressive supranuclear palsy 03 medical and health sciences Alternating series test 0302 clinical medicine Digital image processing Computer-aided medicine In patient 030217 neurology & neurosurgery |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319912103 ITIB |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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