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Evaluation criteria and data analysis of interactive design of virtual reality training system for upper limb rehabilitation of stroke patients

Zixuan Xu,Xingsong Wang,Mengqian Tian

2023 · DOI: 10.1145/3617695.3617725
International Conference on Big Data and Internet of Things · 0 Citations

TLDR

The aim is to evaluate whether the interaction design of the virtual reality training system meets the rehabilitation needs of stroke patients, and to provide a useful reference for the analysis of the experimental results.

Abstract

With the development of virtual reality technology, its application in the field of medical rehabilitation has become more and more extensive, and it has gradually penetrated into the medical research on the rehabilitation of stroke patients. This paper proposes a set of evaluation criteria and rehabilitation data analysis methods for the interactive design of the upper limb rehabilitation virtual reality training system for stroke patients. Firstly, the characteristics and needs of upper limb rehabilitation of stroke patients are analyzed. Secondly, according to the characteristics of virtual reality technology, the evaluation criteria of interaction design are proposed. Finally, the method of training system rehabilitation data analysis is proposed based on hypothesis testing. The aim is to evaluate whether the interaction design of the virtual reality training system meets the rehabilitation needs of stroke patients, and to provide a useful reference for the analysis of the experimental results.