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Task-oriented training with computer gaming in people with rheumatoid arthritis or osteoarthritis of the hand: study protocol of a randomized controlled pilot trial

Overview of attention for article published in Trials, March 2013
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Title
Task-oriented training with computer gaming in people with rheumatoid arthritis or osteoarthritis of the hand: study protocol of a randomized controlled pilot trial
Published in
Trials, March 2013
DOI 10.1186/1745-6215-14-69
Pubmed ID
Authors

Cynthiav Swarnalatha Srikesavan, Barbara Shay, David B Robinson, Tony Szturm

Abstract

Significant restriction in the ability to participate in home, work and community life results from pain, fatigue, joint damage, stiffness and reduced joint range of motion and muscle strength in people with rheumatoid arthritis or osteoarthritis of the hand. With modest evidence on the therapeutic effectiveness of conventional hand exercises, a task-oriented training program via real life object manipulations has been developed for people with arthritis. An innovative, computer-based gaming platform that allows a broad range of common objects to be seamlessly transformed into therapeutic input devices through instrumentation with a motion-sense mouse has also been designed. Personalized objects are selected to target specific training goals such as graded finger mobility, strength, endurance or fine/gross dexterous functions. The movements and object manipulation tasks that replicate common situations in everyday living will then be used to control and play any computer game, making practice challenging and engaging.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 <1%
Brazil 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 266 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 16%
Student > Bachelor 36 13%
Researcher 23 8%
Student > Ph. D. Student 23 8%
Student > Doctoral Student 17 6%
Other 53 19%
Unknown 77 28%
Readers by discipline Count As %
Medicine and Dentistry 50 18%
Nursing and Health Professions 42 15%
Psychology 23 8%
Sports and Recreations 12 4%
Computer Science 9 3%
Other 46 17%
Unknown 90 33%