Authors:
Sibylle Robens
1
;
Thomas Ostermann
1
;
Sebastian Unger
1
;
Petra Heymann
2
;
Stephan Müller
3
;
Christoph Laske
3
and
Ulrich Elbing
2
Affiliations:
1
Department of Psychology and Psychotherapy, Witten/Herdecke University, Witten and Germany
;
2
Institut for Research and Development in Arts Therapies, Nürtingen-Geislingen University, Nürtingen and Germany
;
3
Department of Psychiatry and Psychotherapy, Eberhard Karls University, Tübingen and Germany
Keyword(s):
Gray Level Co-occurrence Matrix, Digital Device, Alzheimer’s Disease Screening.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition and Machine Learning
;
Software Engineering
;
Therapeutic Systems and Technologies
Abstract:
Gray level co-occurrence texture characteristics of digital drawings were compared between persons with early dementia of Alzheimer’s disease and healthy controls. It was hypothesized that texture characteristics contribute to the differentiation between these subject groups. The study population consisted of 67 healthy subjects and 56 patients with early dementia of Alzheimer’s type. Between subject groups comparisons of texture entropy, homogeneity, correlation and image size were conducted with Mann-Whitney-U tests. The diagnostic power of combining all texture features as explanatory variables was analysed with a logistic regression model and the area under curve (AUC) of the corresponding receiver operating control (ROC) curve was calculated. The gray level co-occurrence characteristics differed significantly between healthy and demented subjects and the logistic regression model resulted in an AUC of 0.86 (95% CI [0.80, 0.93], sensitivity=.80, specificity=.79).