• DocumentCode
    2498766
  • Title

    Automated scoring of a neuropsychological test: the Rey Osterrieth complex figure

  • Author

    Canham, R.O. ; Smith, S.L. ; Tyrrell, A.M.

  • Author_Institution
    Dept. of Electron., York Univ., UK
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    406
  • Abstract
    The Rey Osterrieth Complex Figure (ROCF) is a widely used neuropsychological test for visual perception and long term visual memory. Many scoring systems are used to quantify the accuracy of the drawings; these are currently implemented by hand in a subjective manner. The paper gives details of the current progress of a novel technique to locate the scoring sections of the most common of these systems (the Osterrieth Scoring System), with the ultimate goal of automating the scoring system. High levels of distortion are possible, making this an extremely difficult task; however location and perceptual grading of the basic geometric features (triangles, rectangles and diamonds) have been most successful. All but one section in the test data was located (99.3% success) and 78% of the perceptual grades calculated were within 5% of grades generated by independent raters. Unary spatial metrics have been implemented to reduce the possible section candidates by an average of 75% without the loss of a single section
  • Keywords
    medical information systems; patient care; psychology; testing; visual perception; ROCF; Rey Osterrieth complex figure; automated scoring; distortion levels; geometric features; independent raters; long term visual memory; neuropsychological test; perceptual grades; perceptual grading; scoring sections; scoring systems; unary spatial metrics; visual perception; Automatic testing; Data engineering; Dementia; Electronic equipment testing; Laser sintering; Lesions; Magnetic resonance imaging; Medical treatment; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Euromicro Conference, 2000. Proceedings of the 26th
  • Conference_Location
    Maastricht
  • ISSN
    1089-6503
  • Print_ISBN
    0-7695-0780-8
  • Type

    conf

  • DOI
    10.1109/EURMIC.2000.874519
  • Filename
    874519