Dubey, V. N., Klopot , W. and Skupin, P., 2010. Implementation of Virtual Control Strategies for Natural Rehabilitation of Arm with Visual and Force Feedback. In: IEEE International Conference on Robotics and Biomimetics (ROBIO 2010), 14-18 December 2010, Tianjin, China.
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Robotic training following stroke is an emerging rehabilitation technique to facilitate neuromuscular plasticity for regaining functional movements. Most existing training robots follow a defined task-based trajectory in assistive or resistive mode. Whilst this approach may be effective in certain cases it does not allow training of arm or leg in a natural way as the motion is precisely guided by the robot or exoskeleton. The ideal training would be to allow arm/leg follow a trajectory naturally without any augmented support and bring it back when the limb is diverted significantly from the goal. This paper presents implementation of this approach in a virtual environment using a simple force feedback joystick. This will guide the arm within a tunnel of trajectory by providing assistance or resistance depending on location of the arm. The technique can be extended for 3-dimensoional arm movement which can help learn neural plasticity naturally.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||Technology > Engineering > General Engineering|
|Group:||School of Design, Engineering & Computing > Smart Technology Research Centre|
|Deposited By:||Dr Venky Dubey|
|Deposited On:||14 Apr 2011 10:56|
|Last Modified:||07 Mar 2013 15:43|
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