Automated scoring of a neuropsychological test: The Rey Osterrieth Complex Figure.

R O Canham; S L Smith; A M Tyrrell

Automated scoring of a neuropsychological test: The Rey Osterrieth Complex Figure.

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. This paper gives details of the current progress of a novel technique to locate the scoring sections of the most common of these system (the Osterrieth Scoring System), with the ultimate goal to 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.

Original language	English
Title of host publication	PROCEEDINGS OF THE 26TH EUROMICRO CONFERENCE, VOLS I AND II
Editors	F Vajda
Place of Publication	LOS ALAMITOS
Publisher	IEEE Computer Society
Pages	A406-A413
Number of pages	8
ISBN (Print)	0-7695-0781-6
Publication status	Published - 2000
Event	26th Euromicro Conference - MAASTRICHT Duration: 5 Sep 2000 → 7 Sep 2000

Conference

Conference	26th Euromicro Conference
City	MAASTRICHT
Period	5/09/00 → 7/09/00

Keywords

SYSTEM
RELIABILITY
PRODUCTIONS

Cite this

@inproceedings{b5ea3f4d7edc4c78bfac58818cd93e0b,

title = "Automated scoring of a neuropsychological test: The Rey Osterrieth Complex Figure.",

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. This paper gives details of the current progress of a novel technique to locate the scoring sections of the most common of these system (the Osterrieth Scoring System), with the ultimate goal to 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 = "SYSTEM, RELIABILITY, PRODUCTIONS",

author = "Canham, {R O} and Smith, {S L} and Tyrrell, {A M}",

year = "2000",

language = "English",

isbn = "0-7695-0781-6",

pages = "A406--A413",

editor = "F Vajda",

booktitle = "PROCEEDINGS OF THE 26TH EUROMICRO CONFERENCE, VOLS I AND II",

publisher = "IEEE Computer Society",

address = "United States",

note = "26th Euromicro Conference ; Conference date: 05-09-2000 Through 07-09-2000",

}

TY - GEN

T1 - Automated scoring of a neuropsychological test: The Rey Osterrieth Complex Figure.

AU - Canham, R O

AU - Smith, S L

AU - Tyrrell, A M

PY - 2000

Y1 - 2000

N2 - 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. This paper gives details of the current progress of a novel technique to locate the scoring sections of the most common of these system (the Osterrieth Scoring System), with the ultimate goal to 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.

AB - 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. This paper gives details of the current progress of a novel technique to locate the scoring sections of the most common of these system (the Osterrieth Scoring System), with the ultimate goal to 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.

KW - SYSTEM

KW - RELIABILITY

KW - PRODUCTIONS

M3 - Conference contribution

SN - 0-7695-0781-6

SP - A406-A413

BT - PROCEEDINGS OF THE 26TH EUROMICRO CONFERENCE, VOLS I AND II

A2 - Vajda, F

PB - IEEE Computer Society

CY - LOS ALAMITOS

T2 - 26th Euromicro Conference

Y2 - 5 September 2000 through 7 September 2000

ER -