A testing and treatment system model for unilateral neglect patient based on visual feedback training

Abstract

Thanks to the development of the IT convergence technology, the healthcare and wellness industry have been being developed to provide effective healthcare services. In particular, smart devices such as tablet PC or smart phone may be used for rehabilitation of the unilateral neglect patient after stroke. However, existing methods such as Albert Test, Line-bisection Test, and Star-Cancellation Test have been used in healthcare industry even though they have some disadvantages. Thus, we propose a testing and treatment system model for unilateral neglect patient based on smart devices that are portable and are easy to use anytime, anywhere. Particularly, we try to improve the existing evaluation models by developing digital testing methods to mobile applications. Based on visual feedback training methods, we try to develop three treatment models such as card flipping, obstacle avoidance, and human balance.