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Báo cáo khoa hoc:" Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation | Cameirão et al. Journal of NeuroEngineering and Rehabilitation 2010 7 48 http www.jneuroengrehab.eom content 7 1 48 l dl JOURNAL OF NEUROENGINEERING NCR AND REHABILITATION RESEARCH Open Access Neurorehabilitation using the virtual reality based Rehabilitation Gaming System methodology design psychometrics usability and validation Mónica S Cameirão1 Sergi Bermudez i Badia1 Esther Duarte Oller2 Paul FMJ Verschure1 3 Abstract Background Stroke is a frequent cause of adult disability that can lead to enduring impairments. However given the life-long plasticity of the brain one could assume that recovery could be facilitated by the harnessing of mechanisms underlying neuronal reorganization. Currently it is not clear how this reorganization can be mobilized. Novel technology based neurorehabilitation techniques hold promise to address this issue. Here we describe a Virtual Reality VR based system the Rehabilitation Gaming System RGS that is based on a number of hypotheses on the neuronal mechanisms underlying recovery the structure of training and the role of individualization. We investigate the psychometrics of the RGS in stroke patients and healthy controls. Methods We describe the key components of the RGS and the psychometrics of one rehabilitation scenario called Spheroids. We performed trials with 21 acute subacute stroke patients and 20 healthy controls to study the effect of the training parameters on task performance. This allowed us to develop a Personalized Training Module PTM for online adjustment of task difficulty. In addition we studied task transfer between physical and virtual environments. Finally we assessed the usability and acceptance of the RGS as a rehabilitation tool. Results We show that the PTM implemented in RGS allows us to effectively adjust the difficulty and the parameters of the task to the user by capturing specific features of the movements of the arms. The results reported here also show a consistent transfer of movement kinematics .