一种血压监测方法及系统
By combining bioimpedance signal processing and scene recognition with pharmacokinetic models, the problems of insufficient scene recognition and inaccurate medication recommendations in existing blood pressure monitoring technologies have been solved, enabling personalized blood pressure monitoring and early warning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JINAN UNIVERSITY
- Filing Date
- 2026-01-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack sufficient scene recognition accuracy in dynamic blood pressure monitoring, cannot accurately distinguish resting scenes with similar physiological states, and lack physiological model support for medication recommendations, thus failing to provide precise chronotherapy recommendations.
By acquiring the user's bioimpedance signal, performing bandpass filtering and continuous wavelet transform, calculating the energy ratio of the low-frequency band to the high-frequency band, identifying scenarios such as deep sleep at night, light sleep, and post-exercise recovery period, building a drug dosage recommendation model, outputting the next morning drug dosage recommendation, and providing blood pressure warnings based on blood pressure values and scenario recognition results.
It enables more accurate personalized blood pressure risk warnings and medication dosage recommendations, improves the accuracy of blood pressure characteristic analysis, and reduces model errors and false alarms.
Smart Images
Figure CN121647624B_ABST