Game-Based Assessment of Upper-limb Movement in Children with Hemiparetic Cerebral Palsy

There are limitations with assessment used for evaluating hand and arm movement function. Most of these are not objective and require long administration times. Using everyday common technology, the goal of this project is to develop a mobile health system to quickly and efficiently assess arm and hand movements children, particularly those with movement impairments, in any environment.

In collaboration with the UbiComp Lab at Marquette University, we have developed a gamified mobile application that tests various aspects of hand and arm movements. In this project, we will determine if this is a valid and usable approach.

DOI 10.17605/OSF.IO/74DJM

Validating assessments that could extend into the home or other environments offers potential for measuring real-world performance that is not captured from existing clinical measures. Such assessment technology could be implemented in future work to expand the current knowledge of how children with hemiparetic cerebral palsy develop and respond to rehabilitation interventions.

  • Dr. Sheikh Iqbal Ahamed, Department of Computer Science, Marquette University

    Dr. Julius Dewald, Department of Physical Therapy and Human Movement Science, Northwestern University

    Dr. Karin Goodfriend, Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin

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