rehabilitation engineering


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rehabilitation engineering

[‚rē·ə‚bil·ə′tā·shən ‚en·jə‚nir·iŋ]
(engineering)
The use of technology to make disabled persons as independent as possible by providing assistive devices to compensate for disability.
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The study was published online in the journal of IEEE Transactions on Neural Systems and Rehabilitation Engineering.
The therapists will be certified according to the Rehabilitation Engineering and Assistive Technology Society of North America, the internationally recognised certifying body for assistive technology professionals.
However, rehabilitation science is a wide-ranging discipline and also includes physical medicine and rehabilitation, rehabilitation engineering, rehabilitation nursing, assistive technology, rehabilitation counselling, disability studies, orthotics and prosthetics.
Lorna Tasker, head of rehabilitation engineering at Morriston Hospital, said: "Jonathan's work represents the exciting developments that technology offers us to provide more personalised devices to our patients."
MADA Center on Tuesday launched the Arabic version of Assistive Technology Professionals (ATP) test from Rehabilitation Engineering and Assistive Technology Society of North America (RESNA), which is a first of its kind global initiative by the centre.
Dr Chris Daniel, head of rehabilitation Engineering at Bryn Y Neuadd, said: "I'm proud of the part my team has played in the creation of the BabySaver and to be able to bring the vision of Andrew and his team to life.
Further information on health-self management, transition planning and mobile technology: The University of Michigan's Rehabilitation Engineering Research Center website at http://cthi.medicine.umich.edu/resources
She holds a Professional Certification in Assistive Technology through the Rehabilitation Engineering and Assistive Technology Society of North America.
His research interests are bone mechanics, biomaterials, orthopedic and dental implants, drug delivery systems, rehabilitation engineering, and bioethics.
Katyal et al., "Demonstration of a semi-autonomous hybrid brain-machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb prosthetic," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.

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