MURAL - Maynooth University Research Archive Library

    Towards Enhanced Biofeedback Mechanisms for Upper Limb Rehabilitation in Stroke

    Dormer, C. and Ward, Tomas E. and McLoone, Seamus (2008) Towards Enhanced Biofeedback Mechanisms for Upper Limb Rehabilitation in Stroke. In: 6th European Symposium on Biomedical Engineering, 19th-21st June 2008, Crete, Greece.

    [img] Download (171kB)

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    This paper highlights a progressive rehabilitation strategy which details the development of a suite of biomedical feedback sensors to promote enhanced rehabilitation after stroke. The strategy involves promoting total upper limb recovery by focusing on aspects of each stage of post-stroke rehabilitation. For a patient with a complete absence of movement in the affected upper limb, brain signals will be acquired using ear-Infrared Spectroscopy (IRS) combined with motor imagery to move a robotic splint. Once residual movement has returned, EMG signals from the muscles will be detected and used to power a robotic splint. For later stages and continuous enhanced rehabilitation of the upper limb, a Sensor Glove will be used for intense rehabilitation exercises of the hand. These combined techniques cover all levels of ability for total upper limb rehabilitation and will be used to provide positive feedback and motivation for patients.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Biofeedback Mechanisms; Upper Limb Rehabilitation; Stroke;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 1303
    Depositing User: Dr Tomas Ward
    Date Deposited: 13 Mar 2009 14:37
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page


      Downloads per month over past year

      Origin of downloads