CN-122016062-A - Real-time monitoring and early warning method and system for infant body temperature

CN122016062ACN 122016062 ACN122016062 ACN 122016062ACN-122016062-A

Abstract

The invention provides a real-time monitoring and early warning method and a real-time monitoring and early warning system for body temperature of an infant, and relates to the technical field of infant monitoring, wherein the method comprises the steps of continuously collecting body surface temperature data and environment temperature data of the infant in real time, preprocessing the body surface temperature data, and obtaining a preprocessed body surface temperature sequence; the method comprises the steps of determining a dynamic body temperature baseline of an individual based on a body surface temperature sequence, dynamically compensating an early warning threshold value by combining real-time environmental temperature data to obtain an environment self-adaptive dynamic early warning threshold value, calculating a comprehensive early warning index reflecting multidimensional characteristics of body temperature change based on the body surface temperature sequence and the dynamic early warning threshold value, triggering corresponding grading early warning according to the value of the comprehensive early warning index, and dynamically adjusting monitoring parameters based on an early warning result. The invention can integrally solve the problems of inaccurate early warning, untimely early warning and poor adaptability in the prior art.

Inventors

HUANG XIA
XU YAN
CHEN XU
LI SIPENG
HUANG JING

Assignees

四川卫生康复职业学院

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. The real-time infant body temperature monitoring and early warning method is characterized by comprising the following steps of: step S1, continuously acquiring body surface temperature data and environment temperature data of an infant in real time, and preprocessing the body surface temperature data to obtain a preprocessed body surface temperature sequence; Step S2, determining a dynamic body temperature baseline of an individual based on the body surface temperature sequence, and dynamically compensating an early warning threshold value by combining real-time environment temperature data to obtain an environment-adaptive dynamic early warning threshold value; Step S3, calculating a comprehensive early warning index reflecting multidimensional characteristics of body temperature change based on the body surface temperature sequence and the dynamic early warning threshold; And S4, triggering corresponding grading early warning according to the value of the comprehensive early warning index, and dynamically adjusting monitoring parameters based on an early warning result.
2. The method according to claim 1, wherein in step S1, the preprocessing includes smoothing the raw body surface temperature data using a moving average filtering algorithm.
3. The method according to claim 1, wherein in step S2, the determining the baseline of the body temperature is determined based on statistical characteristics of the body surface temperature sequence within a preset period.
4. The method according to claim 1, wherein in step S2, the obtained environment-adaptive dynamic early warning threshold is calculated based on the dynamic body temperature baseline, the real-time environment temperature, and a preset ideal environment temperature and an environment compensation coefficient.
5. The method according to claim 4, wherein in step S3, before calculating the comprehensive early warning index, trend indexes including a body temperature change rate, a body temperature change acceleration and a body temperature duration exceeding integral are calculated.
6. The method according to claim 5, wherein in step S3, the comprehensive early warning index is obtained by normalizing and weighting the body temperature change rate, the body temperature change acceleration, the body temperature continuous superscript integral, and the difference between the instantaneous body temperature and the dynamic early warning threshold.
7. The method for real-time monitoring and early warning of infant body temperature according to claim 6, wherein in the step S4, the step of step S4 is specifically to preset a plurality of incremental early warning thresholds, and trigger early warning of different levels of emergency intervention observed from prompt according to different threshold intervals where the comprehensive early warning index is located.
8. The method for real-time monitoring and early warning of infant body temperature according to claim 7, wherein the dynamically adjusting the monitoring parameters comprises automatically increasing the collection frequency of body surface temperature data after triggering early warning, and/or optimizing the environmental compensation coefficient according to historical environmental temperature data and early warning records.
9. The infant body temperature real-time monitoring and early warning method according to claim 1, characterized in that the infant body temperature real-time monitoring and early warning method further comprises: and S5, synchronously and visually displaying, archiving and storing the body surface temperature sequence, the dynamic early warning threshold value, the environment temperature data and the comprehensive early warning index.
10. An infant body temperature real-time monitoring and early warning system for implementing the method according to any one of claims 1-9, comprising: the temperature acquisition terminal is used for continuously acquiring body surface temperature data and environment temperature data of the infants in real time; The data processing and early warning module is configured to preprocess the body surface temperature data, calculate a dynamic early warning threshold value of individual dynamic body temperature baseline and environment self-adaption, calculate a comprehensive early warning index and trigger hierarchical early warning according to the index; The user interaction terminal is used for receiving and displaying the early warning information and related data; The communication module is used for transmitting data among the temperature acquisition terminal, the data processing and early warning module and the user interaction terminal; The data processing and early warning module is integrated with the temperature acquisition terminal.

Description

Real-time monitoring and early warning method and system for infant body temperature Technical Field The invention relates to the technical field of infant monitoring, in particular to a real-time infant body temperature monitoring and early warning method and system. Background Infant body temperature monitoring is a key link for guaranteeing healthy development of infants. Traditionally, depending on parents or medical staff to make intermittent manual measurements using tools such as thermometers, ear thermometer guns, etc., this approach is not only inefficient, but also difficult to capture continuous dynamic changes in body temperature. With the development of the internet of things and intelligent hardware technology, continuous body temperature monitoring schemes have appeared in the prior art. According to the scheme, the sensor nodes attached to the body surface of the infant are used for collecting body temperature data, the body temperature data are transmitted to the intelligent terminal in a wireless mode to be displayed, an alarm is sent when the body temperature is detected to exceed a preset fixed threshold value, and continuous acquisition and preliminary early warning of the data are achieved to a certain extent. However, the above prior art solutions still have significant limitations. Firstly, a single and static body temperature alarm threshold is adopted, so that the influence of environmental temperature change on body surface temperature measurement cannot be adapted, and false alarm or missing alarm is easily caused in a high-temperature or low-temperature environment. Secondly, the early warning logic is usually lack of comprehensive analysis on the body temperature change rate, duration and trend direction only according to whether the instantaneous body temperature value exceeds a threshold value, so that complex abnormal modes such as slow temperature rise, repeated low heat and the like are difficult to timely and accurately identify, and the early warning timeliness and accuracy are insufficient. In addition, most of the existing systems are single in function, lack the ability to dynamically adjust the monitoring strategy according to individual differences and historical data, and the level of intelligence is to be improved. Disclosure of Invention In order to solve the problems in the related art, the invention provides a real-time infant body temperature monitoring and early warning method and system. In order to achieve the above purpose, the technical scheme adopted by the invention comprises the following steps: According to a first aspect of the invention, a real-time infant body temperature monitoring and early warning method is provided, which comprises the following steps: step S1, continuously acquiring body surface temperature data and environment temperature data of an infant in real time, and preprocessing the body surface temperature data to obtain a preprocessed body surface temperature sequence; Step S2, determining a dynamic body temperature baseline of an individual based on the body surface temperature sequence, and dynamically compensating an early warning threshold value by combining real-time environment temperature data to obtain an environment-adaptive dynamic early warning threshold value; Step S3, calculating a comprehensive early warning index reflecting multidimensional characteristics of body temperature change based on the body surface temperature sequence and the dynamic early warning threshold; And S4, triggering corresponding grading early warning according to the value of the comprehensive early warning index, and dynamically adjusting monitoring parameters based on an early warning result. Optionally, in the step S1, the preprocessing includes smoothing the raw body surface temperature data with a moving average filtering algorithm. Optionally, in the step S2, the determining a dynamic body temperature baseline of the individual is determined based on a statistical feature of the body surface temperature sequence within a preset period. Optionally, in the step S2, the obtained adaptive dynamic early warning threshold is calculated based on the dynamic body temperature baseline, the real-time environmental temperature, and a preset ideal environmental temperature and an environmental compensation coefficient. Optionally, in the step S3, before calculating the comprehensive early warning index, trend indexes including a body temperature change rate, a body temperature change acceleration and a body temperature duration exceeding integral are calculated. Optionally, in the step S3, the comprehensive early warning index is obtained by normalizing and weighting and fusing the body temperature change rate, the body temperature change acceleration, the body temperature continuous superscript integral and the difference between the instantaneous body temperature and the dynamic early warning threshold. Optionally, in the step S4, the step of gradi