Multi-mode physical sign restraint strap remote monitoring system

By using a multimodal vital sign restraint remote monitoring system, combined with the DTW algorithm and linear regression model, the fragmentation problem of data collection and management for special patients was solved, enabling accurate assessment of drug effects and dosage adjustment, and improving medication safety and effectiveness.

CN120932805AInactive Publication Date: 2025-11-11天津市安定医院
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Patent Information

Application Number
CN202511097511.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-06
Publication Date
2025-11-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In traditional medical monitoring, data collection and management for special patients who are agitated, have suicidal tendencies, or have impaired consciousness suffers from fragmented data, missing information, and reliance on manual intervention. This affects the accuracy of drug efficacy assessment and treatment plans, and increases the workload of medical staff.

Method used

Design a multimodal vital sign restraint remote monitoring system that integrates data acquisition, temporal correlation construction, intelligent analysis, and medication decision-making modules. The system constructs the temporal correlation trend of drug-vital sign response through the DTW algorithm and linear regression model, enabling multidimensional assessment of drug effects and dynamic dose adjustment.

Benefits of technology

It enables precise assessment of drug effects and dosage adjustment, improves the safety and effectiveness of medication, reduces human intervention, ensures the authenticity and continuity of data, and adapts to the needs of individualized drug therapy.

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Abstract

The invention discloses a multi-mode physical sign restraint strap remote monitoring system, and relates to the technical field of medical monitoring, the system is composed of a plurality of functional modules, and the system comprises a data acquisition module for acquiring monitoring data of a patient in real time, the monitoring data comprising physical sign data and medication data of the patient; the time sequence association construction module is used for preprocessing the monitoring data to obtain an effective physical sign data subset, performing dynamic time warping on the effective physical sign data subset based on a DTW algorithm to obtain an optimal time sequence anastomosis path, performing parameter estimation on the optimal time sequence anastomosis path by utilizing a linear regression model, and constructing a time sequence association trend of medicine-physical sign response; the intelligent analysis module is used for marking key nodes based on the time sequence correlation trend of the drug-physical sign response and performing multi-dimensional evaluation on the drug effect to obtain a drug effect evaluation value; and the drug use decision module is used for respectively carrying out transverse comparison and longitudinal analysis based on the drug effect evaluation value.
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