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柔性电子技术的快速发展推动了可穿戴呼吸监测设备的革新，但其在医疗级肺功能定量评估中的精准性仍面临挑战。本研究通过融合水分子响应型柔性传感技术、可穿戴设备与云端智能分析平台，成功开发出首个医疗级柔性呼吸传感系统（SFMS）。该系统基于仿生微腔压差传感与湿度敏感界面的协同作用，结合压差-通量动态模型，实现了呼气峰值流速（PEF）和用力肺活量（FVC）的同步解析，精准提取FEV1/FVC等核心肺功能指标。通过454例临床验证，系统与金标准肺功能仪的检测结果高度一致（组内相关系数ICC=0.93-0.97），在慢性阻塞性肺疾病（COPD）与哮喘鉴别诊断中展现出89.7%的敏感性和92.3%的特异性。技术层面，本研究突破传统肺功能检测对专业操作人员的依赖，首创医疗级柔性传感定量检测技术，通过嵌入式边缘计算架构实现实时数据云端交互，并建立多生理参数关联分析的疾病特征谱。应用价值上，系统兼具低成本、便携性和操作简便性，可无缝融入基层医疗场景与家庭健康管理，为慢性呼吸道疾病的分级诊疗提供技术工具。其技术路径直接响应WHO呼吸健康行动计划需求，通过普适化监测推动疾病早筛与长期管理，具有显著的临床转化潜力，为构建呼吸系统疾病全域防控体系提供了创新解决方案。The rapid advancement of flexible electronics has driven innovation in wearable respiratory monitoring devices, yet challenges remain in achieving medical-grade precision for quantitative pulmonary function assessment. This study integrates water molecule-responsive flexible sensing technology, wearable devices, and a cloud-based intelligent analysis platform to develop the first medical-grade flexible respiratory sensing system (SFMS). By leveraging the synergistic effect of bionic microcavity differential pressure sensing and humidity-sensitive interfaces, combined with a pressure difference-flux dynamic model, the system enables simultaneous resolution of peak expiratory flow (PEF) and forced vital capacity (FVC), accurately deriving core pulmonary function indicators such as FEV1/FVC. Clinical validation across 454 cases demonstrated high consistency with gold-standard spirometry (intraclass correlation coefficient [ICC] = 0.93–0.97), with 89.7% sensitivity and 92.3% specificity in differentiating chronic obstructive pulmonary disease (COPD) from asthma. Technologically, this work pioneers medical-grade flexible sensing for quantitative pulmonary testing, eliminating dependence on specialized operators through an embedded edge computing architecture that supports real-time cloud data interaction. The system establishes disease-specific profiles through multi-parametric physiological correlation analysis. Practically, its low cost, portability, and user-friendly operation facilitate seamless integration into primary healthcare and home health management, providing technical tools for hierarchical diagnosis and treatment of chronic respiratory diseases. Aligned with WHO's Respiratory Health Action Plan, this innovation enables universal monitoring to advance early screening and long-term disease management. With significant clinical translation potential, it offers a groundbreaking solution for building a comprehensive prevention and control framework for respiratory diseases.
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Keywords:
- flexible sensing /
- respiratory waves /
- quantitative monitoring /
- lung diseases
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