UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Validity of a sensor-based table-top platform to measure upper limb function
  • Publication Type:
    Conference
  • Authors:
    Mace M, Guy S, Hussain A, Diane Playford E, Ward N, Balasubramanian S, Burdet E
  • Publication date:
    20/08/2017
  • Pagination:
    652, 657
  • Published proceedings:
    IEEE International Conference on Rehabilitation Robotics
  • ISBN-13:
    9781538622964
  • Status:
    Published
  • Print ISSN:
    1945-7898
Abstract
© 2017 IEEE. Objective measurement is an essential part of the assessment process in neurological dysfunction such as stroke. However, current clinical scores are insensitive and based on subjective observation from experts. Technology provides an opportunity for enhanced accuracy and specificity of objective measurement. This study describes the use of an interactive force-sensitive table-top platform for the assessment of reach in post-stroke patients, admitted as part of a three week intensive upper limb training programme. Objective measures from the reachable workspace were extracted and included normalised reach distance, normalised reached speed and reach dragging. The data was compared to standardised Fugl-Meyer (FM) clinical scores, recorded at admission (FMPRE) and discharge (FMPOST). Results indicate strong relationships between the three objective measures and subjective FM scores, with significant Spearman correlations found in all cases (|ρ| > 0.5, p < 0.05). The results highlight the validity for a sensor-based table-top system to provide a simple, flexible, and objective platform for assessment of impaired upper limb motor function.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Clinical and Movement Neurosciences
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by