Percutaneous insertion of central catheter (PICC) puncture point skin image monitoring method and system

The PICC puncture point skin monitoring method, which utilizes adaptive polarization imaging and individual skin color baseline modeling, addresses the shortcomings of subjectivity and temporal tracking in existing PICC puncture point skin monitoring technologies. It enables early microerythema identification and individualized early warning, thereby improving monitoring accuracy and consistency.

CN122398199APending Publication Date: 2026-07-17SICHUAN CANCER HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN CANCER HOSPITAL
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, skin monitoring at the PICC puncture site relies on visual observation, which is highly subjective, cannot accurately quantify the size of erythema, and cannot achieve time-series tracking of inflammation progression and individualized risk warning, making it difficult to identify catheter-related bloodstream infections in the early stages.

Method used

Adaptive polarization imaging technology is used to eliminate specular reflection on the skin. Combined with individual skin color baseline modeling and adaptive segmentation algorithm, erythema is accurately segmented and quantified in multiple dimensions. An infection risk scoring model is constructed using multi-feature time series datasets for individualized early warning.

Benefits of technology

It achieves highly accurate, standardized, and quantitative monitoring of skin inflammation at the PICC puncture site, accurately identifies early microerythema, dynamically tracks the progression of inflammation, provides individualized graded early warning, improves monitoring accuracy and consistency, and supports clinical intervention decisions.

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Abstract

本发明公开了PICC置管穿刺点皮肤图像监测方法及系统,方法通过自适应偏振成像技术,基于镜面反射残留度闭环优化偏振光照参数,消除皮肤表面镜面反射,获取高质量穿刺点皮肤原始图像;经置管导向的自适应坐标系构建、畸变校正与像素‑物理尺寸标定,得到标准化感兴趣区域图像;基于患者个体健康肤色基线建模完成背景抑制与红斑精准分割,提取炎症多维度量化指标;构建多特征时序数据集分析指标演化特征,通过多特征融合风险评分模型实现导管相关血流感染的个体化分级预警。本发明实现了PICC穿刺点炎症的标准化、定量化、全周期监测,大幅提升早期感染识别的灵敏度与特异性,可广泛应用于PICC置管后的院内护理与居家监测场景。
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