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Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review

Applied sciences, 2019-11, Vol.9 (21), p.4666 [Peer Reviewed Journal]

2019 by the author. 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 (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9214666

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  • Title:
    Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review
  • Author: Vessio, Gennaro
  • Subjects: Age ; Alzheimer's disease ; Biomarkers ; Brain research ; Classification ; Cognitive ability ; Diagnosis ; Handwriting ; handwriting analysis ; Interdisciplinary research ; Interdisciplinary studies ; Medical research ; Monitoring ; Neurodegeneration ; neurodegenerative diseases ; New technology ; Older people ; Parkinson's disease ; Physicians ; Static characteristics ; survey ; Telemedicine ; Writing
  • Is Part Of: Applied sciences, 2019-11, Vol.9 (21), p.4666
  • Description: Studying the effects of neurodegeneration on handwriting has emerged as an interdisciplinary research topic and has attracted considerable interest from psychologists to neuroscientists and from physicians to computer scientists. The complexity of handwriting, in fact, appears to be sensitive to age-related impairments in cognitive functioning; thus, analyzing handwriting in elderly people may facilitate the diagnosis and monitoring of these impairments. A large body of knowledge has been collected in the last thirty years thanks to the advent of new technologies which allow researchers to investigate not only the static characteristics of handwriting but also especially the dynamic aspects of the handwriting process. The present paper aims at providing an overview of the most relevant literature investigating the application of dynamic handwriting analysis in neurodegenerative disease assessment. The focus, in particular, is on Parkinon’s disease (PD) and Alzheimer’s disease (AD), as the two most widespread neurodegenerative disorders. More specifically, the studies taken into account are grouped in accordance with three main research questions: disease insight, disease monitoring, and disease diagnosis. The net result is that dynamic handwriting analysis is a powerful, noninvasive, and low-cost tool for real-time diagnosis and follow-up of PD and AD. In conclusion of the paper, open issues still demanding further research are highlighted.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2076-3417
    EISSN: 2076-3417
    DOI: 10.3390/app9214666
  • Source: ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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