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Measuring Finger Movement in Arthritic Patients Using Wearable Glove Technology

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Condell, Joan, Curran, Kevin, Quigley, Terry, Gardiner, Philip, McNeill, Michael, Winder, John, Xie, Ermai and Zhang, Qi (2010) Measuring Finger Movement in Arthritic Patients Using Wearable Glove Technology. In: Wearable and Autonomous Biomedical Devices and Systems for Smart Environments. Springer-Verlag, pp. 391-406. ISBN 978-3-642-15686-1 [Book section]

Full text not available from this repository.

DOI: 10.1007/978-3-642-15687-8

Abstract

This paper outlines the initial ideas and results surrounding the development of an accurate hand movement measurement tool. This tool will assist medical clinicians, specifically rheumatologists and orthopeadic hand surgeons, with measuring the loss of movement in the human hand. This has many direct applications within medical practice including diagnosis, prognosis and recovery assessment of patients with conditions specific to the hand e.g. to measure how far a patient can close their fingers (with a flare up in arthritis patients may not be able to make a fist). Current measurement techniques available to clinicians are either invasive (x-rays) or rely heavily on manual evaluation such as vision and touch which are dependent on training and experience and results often vary between observers. Measuring tape is commonly used to measure distances e.g. between palm and fingertip which also leads to issues with accuracy, as well as patient self questionnaires which allow for interpretation.

Item Type:Book section
Faculties and Schools:Faculty of Arts
Faculty of Life and Health Sciences
Faculty of Arts > School of Creative Arts and Technologies
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Art and Design Research Institute
Computer Science Research Institute
Art and Design Research Institute > Future and Virtual Worlds
Computer Science Research Institute > Intelligent Systems Research Centre
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:17387
Deposited By:Dr Joan Condell
Deposited On:07 Mar 2011 13:38
Last Modified:19 Apr 2013 12:23

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