A Quantitative, Digital Method to Analyze Human Figure Drawings as a Tool to Assess Body Representations Distortions in Stroke Patients.

Details

Serval ID
serval:BIB_55E38568FE68
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A Quantitative, Digital Method to Analyze Human Figure Drawings as a Tool to Assess Body Representations Distortions in Stroke Patients.
Journal
IEEE open journal of engineering in medicine and biology
Author(s)
Martinelli I., Konik S., Guanziroli E., Tharayil J., Foglia C., Alemu M.M., Colombo M., Specchia A., Serino A., Molteni F., Bassolino M.
ISSN
2644-1276 (Electronic)
ISSN-L
2644-1276
Publication state
Published
Issued date
2023
Peer-reviewed
Oui
Volume
4
Pages
278-283
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Human figure drawings are widely used in clinical practice as a qualitative indication of Body Representations (BRs) alterations in stroke patients. The objective of this study is to present and validate the use of a new app called QDraw for the quantitative analysis of drawings and to investigate whether this analysis can reveal distortions of BRs in chronic stroke patients.
QDraw has proven to generate reliable data as compared to manual scoring and in terms of inter-rater reliability, as shown by the high correlation coefficients. Moreover, human figure drawings from chronic stroke patients demonstrated a distortion of upper limb perception, as shown by a significantly higher arm length asymmetry compared to legs, whereas no difference was found in healthy controls.
The present study supports the use of quantitative, digital methods (the QDraw app) to analyze human figure drawings as a tool to evaluate BRs distortions in stroke patients.
Keywords
Body representations, drawings, human figure, sensorimotor deficits, stroke
Pubmed
Web of science
Open Access
Yes
Create date
12/01/2024 10:51
Last modification date
27/01/2024 8:36
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