Intelligent data analysis method for pension information service system

By monitoring the elderly’s heart rate and movement speed in real time and combining behavioral stage analysis, an index of reaction intensity and recovery intensity is constructed, which solves the problem that existing technologies cannot quantify long-term changes in the elderly’s physical functions and enables a comprehensive assessment and early warning of the elderly’s physical functions.

CN121890971APending Publication Date: 2026-04-21JIANGSU SURFING SOFTWARE TECH CO LTD
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Patent Information

Application Number
CN202610035807.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-12
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing technologies cannot effectively monitor and quantify long-term changes in the physical functions of the elderly, nor can they provide a comprehensive assessment of physical functions in elderly care information service systems.

Method used

By acquiring the elderly’s heart rate and movement speed in real time, and combining time-labeled analysis, behavioral stages are identified and scored, and indicators of reaction intensity, calming intensity and changes in cardiac function are constructed. Thresholds are set to remind the elderly to have physical examinations.

Benefits of technology

It enables quantitative assessment of changes in the elderly's physical functions, provides comprehensive monitoring and early warning of physical condition, and helps caregivers understand the overall health status of the elderly.

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Abstract

The invention provides an intelligent data analysis method for a pension information service system, relates to the technical field of physiological data processing, and aims to judge behavior stages according to the daily moving speed of the elderly and the continuity of the speed in time, select stable effective behavior stages through deterministic scores, and improve the accuracy of the behavior stages. Judging a corresponding behavior state according to the change characteristic of the heart rate in the effective behavior stage, identifying the body function expression of the old person in the corresponding state according to the change rate characteristic of the central rate of each behavior state, and judging the reaction intensity in the first behavior state and the flat intensity in the second behavior state; and a heart function change index is constructed by combining the long-term comprehensive expression of the reaction intensity, the flat intensity and the heart rate in the third behavior state, so that the overall body function change characteristics are reflected and quantified, and a guardian can conveniently know the overall body condition change of the old.
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