Chronic neck and shoulder pain (CNSP) is a major global public health issue. Traditional treatments like physiotherapy and rehabilitation have drawbacks, including high costs, low precision, and user discomfort. This paper presents an interactive system based on Cognitive Therapy Theory (CBT) for CNSP treatment. The system includes a pain detection module using EMG and IMU to monitor pain and optimize data with Rough Set theory, and a cognitive therapy module that processes this data further for CBT-based interventions, including massage and heating therapy. An experimental plan is outlined to evaluate the system's effectiveness and performance. The goal is to create an accessible device for CNSP therapy. Additionally, the paper explores the system's application in a metaverse environment, enhancing treatment immersion and personalization. The metaverse platform simulates treatment environments and responds to real-time patient data, allowing for continuous monitoring and adjustment of treatment plans.

翻译：慢性颈肩痛(CNSP)是全球主要的公共卫生问题。物理治疗和康复等传统疗法存在成本高、精度低及用户不适等缺陷。本文提出一种基于认知行为疗法(CBT)的交互式系统用于CNSP治疗。该系统包含疼痛检测模块和认知治疗模块：前者利用EMG和IMU监测疼痛状态，并通过粗糙集理论优化数据；后者对数据进行进一步处理，实施基于CBT的干预措施（包括按摩和热疗）。本文概述了评估系统有效性与性能的实验方案，旨在创建一种便捷的CNSP治疗设备。此外，论文探讨了该系统在元宇宙环境中的应用，通过模拟治疗场景并响应患者实时数据，增强了治疗的沉浸感与个性化水平。元宇宙平台可模拟治疗环境并对患者实时数据作出响应，实现治疗计划的持续监测与动态调整。