skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Dynamic Handwriting Analysis for the Assessment of Neurodegenerative Diseases: A Pattern Recognition Perspective

IEEE reviews in biomedical engineering, 2019-01, Vol.12, p.209-220 [Peer Reviewed Journal]

ISSN: 1937-3333 ;EISSN: 1941-1189 ;DOI: 10.1109/RBME.2018.2840679 ;CODEN: IRBECO

Digital Resources/Online E-Resources

Citations Cited by
  • Title:
    Dynamic Handwriting Analysis for the Assessment of Neurodegenerative Diseases: A Pattern Recognition Perspective
  • Author: Impedovo, Donato ; Pirlo, Giuseppe
  • Subjects: Alzheimer's disease (AD) assessment ; Data acquisition ; Diseases ; Feature extraction ; Kinematics ; motor control ; online handwriting analysis ; Parkinson's disease (PD) assessment ; Spirals ; Task analysis ; Writing
  • Is Part Of: IEEE reviews in biomedical engineering, 2019-01, Vol.12, p.209-220
  • Description: Neurodegenerative diseases, for instance Alzheimer's disease (AD) and Parkinson's disease (PD), affect the peripheral nervous system, where nerve cells send messages that control muscles in order to allow movements. Sick neurons cannot control muscles properly. Handwriting involves cognitive planning, coordination, and execution abilities. Significant changes in handwriting performance are a prominent feature of AD and PD. This paper addresses the most relevant results obtained in the field of online (dynamic) analysis of handwritten trials by AD and PD patients. The survey is made from a pattern recognition point of view, so that different phases are described. Data acquisition deals not only with the device, but also with the handwriting task. Feature extraction can deal with function and parameter features. The classification problem is also discussed along with results already obtained. This paper also highlights the most profitable research directions.
  • Publisher: IEEE
  • Language: English
  • Identifier: ISSN: 1937-3333
    EISSN: 1941-1189
    DOI: 10.1109/RBME.2018.2840679
    CODEN: IRBECO
  • Source: IEEE Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait