tailieunhanh - Báo cáo khoa hoc:" Exploring the bases for a mixed reality stroke rehabilitation system, Part II: Design of Interactive Feedback for upper limb rehabilitation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Exploring the bases for a mixed reality stroke rehabilitation system, Part II: Design of Interactive Feedback for upper limb rehabilitation | Lehrer et al. Journal of NeuroEngineering and Rehabilitation 2011 8 54 http content 8 1 54 Iril JOURNAL OF NEUROENGINEERING NCR AND REHABILITATION METHODOLOGY Open Access Exploring the bases for a mixed reality stroke rehabilitation system Part II Design of Interactive Feedback for upper limb rehabilitation 1 z-1 1 12 1 Nicole Lehrer Yinpeng Chen Margaret Duff1 Steven L Wolf1 and Thanassis Rikakis Abstract Background Few existing interactive rehabilitation systems can effectively communicate multiple aspects of movement performance simultaneously in a manner that appropriately adapts across various training scenarios. In order to address the need for such systems within stroke rehabilitation training a unified approach for designing interactive systems for upper limb rehabilitation of stroke survivors has been developed and applied for the implementation of an Adaptive Mixed Reality Rehabilitation AMRR System. Results The AMRR system provides computational evaluation and multimedia feedback for the upper limb rehabilitation of stroke survivors. A participant s movements are tracked by motion capture technology and evaluated by computational means. The resulting data are used to generate interactive media-based feedback that communicates to the participant detailed intuitive evaluations of his performance. This article describes how the AMRR system s interactive feedback is designed to address specific movement challenges faced by stroke survivors. Multimedia examples are provided to illustrate each feedback component. Supportive data are provided for three participants of varying impairment levels to demonstrate the system s ability to train both targeted and integrated aspects of movement. Conclusions The AMRR system supports training of multiple movement aspects together or in isolation within adaptable sequences through cohesive feedback that is based on formalized compositional design principles. From preliminary analysis of the data