基于节律特征的多维夜尿行为监控系统
The multidimensional nocturia behavior monitoring system based on rhythm characteristics solves the problems of accuracy and real-time intervention in traditional nocturia monitoring methods, realizes a high degree of digitalization and refined characterization of nocturia symptoms, and provides personalized disease screening and management methods.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NORDAS (HANGZHOU) TECHNOLOGY CO LTD
- Filing Date
- 2026-03-20
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional methods of monitoring nocturia cannot characterize the structure of urination rhythms, lack calculable digital phenotypes, and cannot be deeply integrated with AI. Existing devices ignore fine-grained features of nocturia rhythms, resulting in inaccurate monitoring and an inability to achieve real-time intervention and early disease screening.
A multidimensional nocturia behavior monitoring system based on rhythm features is adopted, including modules for data acquisition, rhythm feature extraction, urine volume dynamics modeling, cluster monitoring, and real-time feedback. Data is collected in real time through IoT devices, calculating the nocturia frequency index, time concentration, and urine volume acceleration index. Individual automatic clustering is performed using a Gaussian mixture model, and real-time feedback and hierarchical alarms are achieved through radar charts and indicator cards.
It achieves a highly digitized and refined representation of nocturia behavior, provides a dynamic basis for clinical judgment, automatically identifies people with significant clinical characteristics, improves the efficiency of early disease screening and chronic disease management, and provides immediate behavioral suggestions or medical warnings.
Smart Images
Figure CN121867795B_ABST