Electrical stimulation and iterative learning control for functional recovery in the upper limb post-stroke
Meadmore, Katie, Exell, Timothy, Hughes, Ann-Marie, Hallewell, E., Freeman, Christopher, Kutlu, Mustafa, Burridge, Jane and Rogers, E. (2013) Electrical stimulation and iterative learning control for functional recovery in the upper limb post-stroke. In, International Conference on Rehabilitation Robotics 2013, Seattle, US, 24 - 26 Jun 2013. (doi:10.1109/ICORR.2013.6650359).
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Therapies using functional electrical stimulation (FES) in conjunction with practice of everyday tasks have proven effective in facilitating recovery of upper limb function following stroke. The aim of the current study is to develop a multi-channel electrical stimulation system that precisely controls the assistance provided in goal-orientated tasks through use of advanced model-based ‘iterative learning control’ (ILC) algorithms to facilitate functional motor recovery of the upper limb post-stroke. FES was applied to three muscle groups in the upper limb (the anterior deltoid, triceps and wrist extensors) to assist hemiparetic, chronic stroke participants to perform a series of functional tasks with real objects, including closing a drawer, turning on a light switch and repositioning an object. Position data from the participants’ impaired upper limb was collected using a Microsoft Kinect® and was compared to an ideal reference. ILC used data from previous attempts at the task to moderate the FES signals applied to each muscle group on a trial by trial basis to reduce performance error whilst supporting voluntary effort by the participant. The clinical trial is on-going. Preliminary results show improvements in performance accuracy for each muscle group, demonstrating the feasibility of applying precisely controlled FES to three muscle groups in the upper limb to facilitate functional reach and grasp movements post stroke.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RT Nursing
|Divisions:||Faculty of Health Sciences > Physical & Rehabilitation Health
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||10 Apr 2013 16:07|
|Last Modified:||12 May 2014 13:56|
Restoration of Reach and Grasp in Stroke Patients using Electrical Stimulation and Haptic Feedback
Funded by: EPSRC (EP/I01909X/1)
Led by: E Rogers
1 April 2011 to 30 September 2014
|Further Information:||Google Scholar|
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