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Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease

Parkinson’s disease (PD) and progressive supranuclear palsy (PSP) are neurodegenerative movement disorders associated with cognitive dysfunction. The Luria’s Alternating Series Test (LAST) is a clinical tool sensitive to both graphomotor problems and perseverative tendencies that may suggest the dys...

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Autores principales: Stępień, Paula, Kawa, Jacek, Sitek, Emilia J., Wieczorek, Dariusz, Sikorski, Rafał, Dąbrowska, Magda, Sławek, Jarosław, Pietka, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880639/
https://www.ncbi.nlm.nih.gov/pubmed/35214587
http://dx.doi.org/10.3390/s22041688
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author Stępień, Paula
Kawa, Jacek
Sitek, Emilia J.
Wieczorek, Dariusz
Sikorski, Rafał
Dąbrowska, Magda
Sławek, Jarosław
Pietka, Ewa
author_facet Stępień, Paula
Kawa, Jacek
Sitek, Emilia J.
Wieczorek, Dariusz
Sikorski, Rafał
Dąbrowska, Magda
Sławek, Jarosław
Pietka, Ewa
author_sort Stępień, Paula
collection PubMed
description Parkinson’s disease (PD) and progressive supranuclear palsy (PSP) are neurodegenerative movement disorders associated with cognitive dysfunction. The Luria’s Alternating Series Test (LAST) is a clinical tool sensitive to both graphomotor problems and perseverative tendencies that may suggest the dysfunction of prefrontal and/or frontostriatal areas and may be used in PD and PSP assessment. It requires the participant to draw a series of alternating triangles and rectangles. In the study, two clinical groups—51 patients with PD and 22 patients with PSP—were compared to 32 neurologically intact seniors. Participants underwent neuropsychological assessment. The LAST was administered in a paper and pencil version, then scanned and preprocessed. The series was automatically divided into characters, and the shapes were recognized as rectangles or triangles. In the feature extraction step, each rectangle and triangle was regarded both as an image and a two-dimensional signal, separately and as a part of the series. Standard and novel features were extracted and normalized using characters written by the examiner. Out of 71 proposed features, 51 differentiated the groups (p < 0.05). A classifier showed an accuracy of 70.5% for distinguishing three groups.
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spelling pubmed-88806392022-02-26 Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease Stępień, Paula Kawa, Jacek Sitek, Emilia J. Wieczorek, Dariusz Sikorski, Rafał Dąbrowska, Magda Sławek, Jarosław Pietka, Ewa Sensors (Basel) Article Parkinson’s disease (PD) and progressive supranuclear palsy (PSP) are neurodegenerative movement disorders associated with cognitive dysfunction. The Luria’s Alternating Series Test (LAST) is a clinical tool sensitive to both graphomotor problems and perseverative tendencies that may suggest the dysfunction of prefrontal and/or frontostriatal areas and may be used in PD and PSP assessment. It requires the participant to draw a series of alternating triangles and rectangles. In the study, two clinical groups—51 patients with PD and 22 patients with PSP—were compared to 32 neurologically intact seniors. Participants underwent neuropsychological assessment. The LAST was administered in a paper and pencil version, then scanned and preprocessed. The series was automatically divided into characters, and the shapes were recognized as rectangles or triangles. In the feature extraction step, each rectangle and triangle was regarded both as an image and a two-dimensional signal, separately and as a part of the series. Standard and novel features were extracted and normalized using characters written by the examiner. Out of 71 proposed features, 51 differentiated the groups (p < 0.05). A classifier showed an accuracy of 70.5% for distinguishing three groups. MDPI 2022-02-21 /pmc/articles/PMC8880639/ /pubmed/35214587 http://dx.doi.org/10.3390/s22041688 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stępień, Paula
Kawa, Jacek
Sitek, Emilia J.
Wieczorek, Dariusz
Sikorski, Rafał
Dąbrowska, Magda
Sławek, Jarosław
Pietka, Ewa
Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title_full Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title_fullStr Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title_full_unstemmed Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title_short Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson’s Disease
title_sort computer aided written character feature extraction in progressive supranuclear palsy and parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880639/
https://www.ncbi.nlm.nih.gov/pubmed/35214587
http://dx.doi.org/10.3390/s22041688
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