Development of a multimodal virtual reality training system for trauma rehabilitation with a long cycle
创伤康复周期过长问题的多模态虚拟现实训练系统开发

摘要

创伤患者康复周期长，效率低下是目前康复医学面临的共同困境，这主要受传统路径低效实施，生理心理双重延滞和资源配置不均等因素制约。为应对上述挑战，本文提出并设计了一套多模态虚拟现实训练系统，融合感知交互、动作捕捉与智能反馈机制，构建个体化、动态适配的康复方案。该系统在数据驱动康复路径调控下实现了实时训练优化和神经-运动功能重塑等功能，有效地促进了康复效率的提高和周期的缩短。研究证明该体系在功能集成，智能响应及个体适配等方面有显著优势，并为今后智能康复的发展方向提供一条可行路径。

Abstract

The long rehabilitation cycle and low efficiency of trauma patients are common challenges faced by current rehabilitation medicine. This is mainly constrained by the inefficient implementation of traditional approaches, dual delays of physiological and psychological factors, and uneven resource allocation. To address these challenges, this paper proposes and designs a multimodal virtual reality training system that integrates perceptual interaction, motion capture, and intelligent feedback mechanisms to construct individualized and dynamically adaptable rehabilitation plans. Under the regulation of data-driven rehabilitation paths, this system achieves real-time training optimization and functions such as neural-motor function remodeling, effectively promoting the improvement of rehabilitation efficiency and shortening the cycle. Research has proved that this system has significant advantages in functional integration, intelligent response, and individual adaptation, and provides a feasible path for the future development of intelligent rehabilitation.