基于物联网的实时多维度监测系统，助力肌营养不良症个性化管理
Predictive Modeling For Real-Time Personalized Health Monitoring in Muscular Dystrophy Management
- 构建物联网系统实现远程、多维度患者数据采集
- 提供实时健康状态更新，支持临床决策
- 适合慢病管理与远程医疗研究者参考
肌营养不良症（Muscular Dystrophy, MD）是一组遗传性疾病，会逐步影响肌肉力量和功能，全球影响数百万人。由于其终身进展特性，需持续随访护理。本文提出一种基于物联网（IoT）的系统，通过远程、多维度监测患者，实现实时健康状态更新。传统方法难以提供实时可行动态数据，限制了医疗人员基于证据的决策能力。亟需技术驱动方案以深入洞察疾病进展与患者健康状况。该系统旨在优化治疗策略，帮助患者更好地管理病情，增强医护人员决策信心。
原文摘要 · Abstract (English)
Muscular Dystrophy is a group of genetic disorders that progressively affect the strength and functioning of muscles, thereby affecting millions of people worldwide. The lifetime nature of MD requires continuous follow-up care due to its progressive nature. This conceptual paper proposes an Internet of Things-based system to support the management of MD through remote, multi-dimensional monitoring of patients in order to provide real-time health status updates. Traditional methods have failed to give actionable data in real time, hence denying healthcare providers the opportunity to make evidence-based decisions. Technology-driven approaches are urgently needed to provide deep insights into disease progression and patient health. It aims to enhance treatment strategies, enabling patients to better manage their condition and giving healthcare professionals more confidence in their management decisions.
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