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Development of a Dementia-Specific Gait Profile: A Computational Approach

[+] Author Affiliations
Tasos Karakostas

Children’s Memorial Hospital, Chicago, IL; Medical University of South Carolina, Charleston, SC

Simon Hsiang

North Carolina State University, Raleigh, NC

Boyd Davis

University of North Carolina at Charlotte, Charlotte, NC; Medical University of South Carolina, Charleston, SC

Dena Shenk

University of North Carolina at Charlotte, Charlotte, NC

Margaret Maclagan

University of Canterbury, Christchurch, New Zealand

Paper No. IMECE2011-63588, pp. 195-196; 2 pages
  • ASME 2011 International Mechanical Engineering Congress and Exposition
  • Volume 2: Biomedical and Biotechnology Engineering; Nanoengineering for Medicine and Biology
  • Denver, Colorado, USA, November 11–17, 2011
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5488-4
  • Copyright © 2011 by ASME


The rate at which elderly are being diagnosed with dementia has accelerated over the recent years and it is alarming [1]. They are three times more likely to fall and over three times more likely to have severe injury compared to cognitively unimpaired elderly [2]. Consequently, recently there is an interest in the identification of biomarkers that can contribute towards, or establish, early detection and diagnosis of dementia.

Copyright © 2011 by ASME



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