CN-122004885-A - Health state assessment and early warning method and system based on biosensor

CN122004885ACN 122004885 ACN122004885 ACN 122004885ACN-122004885-A

Abstract

The invention provides a health state assessment and early warning method and system based on a biosensor, which relate to the technical field of health assessment and early warning, and are characterized in that physiological information data acquisition and processing are carried out through the biosensor to obtain physiological data acquisition and processing information, health feature processing analysis is carried out according to the physiological data acquisition and processing information to obtain health feature processing analysis data, health state assessment analysis is carried out according to the health feature processing analysis data to obtain health state assessment analysis data, risk early warning analysis is carried out according to the health state assessment analysis data to obtain risk early warning analysis data, differential early warning feedback is carried out according to the risk early warning analysis data to obtain assessment early warning information.

Inventors

WANG JINQIANG
CHENG CHUANJING

Assignees

浙江康略软件有限公司

Dates

Publication Date: 20260512
Application Date: 20260325

Claims (10)

1. The health state assessment and early warning method based on the biosensor is characterized by comprising the following steps of: s1, acquiring and processing physiological information data through a biosensor to obtain physiological data acquisition and processing information; S2, carrying out health feature processing analysis according to the physiological data acquisition and processing information to obtain health feature processing analysis data, and carrying out health state evaluation analysis according to the health feature processing analysis data to obtain health state evaluation analysis data; And S3, performing risk early warning analysis according to the health state evaluation analysis data to obtain risk early warning analysis data, and performing differential early warning feedback according to the risk early warning analysis data to obtain evaluation early warning information.
2. The biosensor-based health status assessment and pre-warning method according to claim 1, wherein S1 comprises: combining a plurality of preset acquisition sensors to obtain a biosensor; acquiring physiological data through a biosensor to obtain physiological acquisition data; performing time sequence division on the physiological acquisition data to obtain time sequence physiological division data; performing time sequence physiological abnormality analysis according to the time sequence physiological partition data to obtain time sequence physiological abnormality analysis data; according to the time sequence physiological abnormality analysis data, the physiological sensor acquisition frequency is adjusted, and frequency adjustment information is obtained; and carrying out updating acquisition and preprocessing of physiological data according to the frequency adjustment information to obtain physiological data acquisition processing information.
3. The method for evaluating and pre-warning health status based on a biosensor according to claim 2, wherein the performing the time-series physiological abnormality analysis according to the time-series physiological partition data to obtain time-series physiological abnormality analysis data comprises: acquiring preset time sequence physiological standard data, and determining a preset time sequence physiological standard curve according to the preset time sequence physiological standard data; Determining a time sequence physiological actual curve according to the time sequence physiological partition data; comparing the time sequence physiological standard curve with the time sequence physiological actual curve to obtain a time sequence physiological comparison curve; Acquiring a time sequence physiological difference maximum value and a time sequence physiological difference minimum value according to a time sequence physiological comparison curve; calculating the difference value between the maximum value of the time sequence physiological difference and the minimum value of the time sequence physiological difference to obtain time sequence physiological fluctuation data; Comparing the time sequence physiological fluctuation data with a preset time sequence physiological fluctuation threshold value to obtain fluctuation comparison data; Comparing the time sequence physiological fluctuation data with a preset time sequence time fluctuation threshold value to obtain time comparison data; and combining the fluctuation comparison data with the time comparison data to judge the time sequence physiological abnormality, thereby obtaining time sequence physiological abnormality analysis data.
4. The biosensor-based health status assessment and pre-warning method according to claim 1, wherein S2 comprises: Information feature extraction and time sequence feature extraction are carried out on the physiological data acquisition and processing information, and information feature extraction data and time sequence feature extraction data are obtained; Correspondingly combining the information feature extraction data and the time sequence feature extraction data to obtain feature combination data; performing feature health association analysis according to the feature combination data to obtain feature health association analysis data; Carrying out health combination analysis on the characteristic combination data according to the characteristic health association analysis data to obtain health combination analysis data; and carrying out user health state analysis according to the health combination analysis data to obtain health state evaluation analysis data.
5. The method for evaluating and pre-warning health status based on a biosensor according to claim 4, wherein the performing feature health association analysis based on the feature combination data to obtain feature health association analysis data comprises: Constructing a health feature association database, and determining a health feature association relation according to the health feature association database; Calculating the association degree of each feature association relation to obtain feature association degree data; comparing the feature association degree data with a preset feature association threshold value to obtain a feature association comparison result; combining the features corresponding to the feature association relation according to the feature association comparison result to obtain key feature combination data; Determining a feature combination association relation according to the key feature combination data and the health feature association database; Calculating the association degree of each characteristic combination association relation to obtain combination association degree data; Comparing the combination association degree data with a preset combination association threshold value to obtain a combination association comparison result; And integrating the characteristic association comparison result with the combined association comparison result to obtain characteristic health association analysis data.
6. The method for evaluating and pre-warning health status based on a biosensor according to claim 4, wherein the performing the health combination analysis on the feature combination data according to the feature health association analysis data to obtain health combination analysis data comprises: acquiring the ratio of time sequence physiological abnormal analysis data to time sequence physiological normal analysis data of the characteristic health associated analysis data according to the physiological data acquisition and processing information to obtain a characteristic associated health evaluation coefficient; performing health association grouping according to the characteristic health association analysis data to obtain health association analysis data; Comparing the characteristic associated health evaluation coefficient with a preset characteristic associated health evaluation threshold value to obtain associated health evaluation comparison data; and judging the health state of the characteristic combination data according to the associated health evaluation comparison data to obtain health combination analysis data.
7. The method for evaluating and pre-warning health status based on a biosensor according to claim 4, wherein the analyzing health status of a user based on the health combination analysis data to obtain health status evaluation analysis data comprises: acquiring preset health combination weights corresponding to the health combination analysis data; calculating the product of the health combination analysis data and the preset health combination weight to obtain weight combination analysis data; calculating the average value of weight combination analysis data of all the health combination analysis data to obtain the health state coefficient of the user; and comparing the health state coefficient of the user with a preset health state threshold value to obtain health state evaluation analysis data.
8. The biosensor-based health status assessment and pre-warning method according to claim 1, wherein S3 comprises: Acquiring user personalized basic information, and carrying out combination analysis on the user personalized basic information and health state evaluation analysis data to acquire personalized health combination analysis data; Determining a user health reference value and a user health state value according to the personalized health combination analysis data; Comparing the user health reference value with the user health state value to obtain health comparison data; And carrying out corresponding intensity early warning according to the health comparison data to obtain evaluation early warning information.
9. The method for evaluating and pre-warning health status based on a biosensor according to claim 8, wherein the acquiring the user-personalized basic information, and performing a combination analysis on the user-personalized basic information and the health status evaluation analysis data to obtain personalized health combination analysis data, comprises: Acquiring user personalized basic information, preprocessing the user personalized basic information, and acquiring personalized processing information; The health characteristic association database carries out association matching on personalized processing information and health state evaluation analysis data to obtain personalized association matching information; Adjusting the preset health combination weight according to the personalized association matching information to obtain an adjustment weight; And updating the health state evaluation analysis data according to the adjustment weight to obtain personalized health combination analysis data.
10. A biosensor-based health status assessment and early warning system, the system comprising: the acquisition processing module is used for acquiring and processing physiological information data through the biological sensor to obtain physiological data acquisition processing information; the feature analysis module is used for carrying out health feature processing analysis according to the physiological data acquisition processing information to obtain health feature processing analysis data, and carrying out health state evaluation analysis according to the health feature processing analysis data to obtain health state evaluation analysis data; The state evaluation module is used for carrying out risk early warning analysis according to the health state evaluation analysis data to obtain risk early warning analysis data, and carrying out differential early warning feedback according to the risk early warning analysis data to obtain evaluation early warning information.

Description

Health state assessment and early warning method and system based on biosensor Technical Field The invention provides a health state assessment and early warning method and system based on a biosensor, relates to the technical field of health assessment and early warning, and particularly relates to the technical field of health state assessment and early warning of the biosensor. Background With the development of wearable monitoring equipment and health management technology, human health state monitoring based on a biosensor is widely applied to the scenes of daily health monitoring, chronic disease management, sudden disease early warning and the like. The traditional health monitoring mode adopts a single sensor to collect physiological data, and simple comparison and judgment are carried out through a fixed threshold, so that the problems of single physiological information collection dimension, low data utilization rate and the like exist, and comprehensive health state of a human body is difficult to reflect comprehensively. Meanwhile, the existing method generally adopts fixed sampling frequency and unified judgment standard, does not combine the time sequence change characteristics of physiological signals to carry out dynamic analysis, is easy to be interfered by instantaneous fluctuation, and has higher abnormal identification misjudgment rate and insufficient early warning accuracy. In addition, most health evaluation systems do not fully consider individual differences such as age, medical history, life habits and the like, and personalized state judgment cannot be realized by adopting a generalized evaluation model and an early warning rule, so that the defects of one-sided evaluation result, single early warning mode and the like exist. In addition, the prior art lacks systematic processing flow in aspects of feature screening, multi-index fusion analysis and the like, is difficult to accurately identify and timely early warn potential health risks, and cannot meet the requirements of efficient, accurate and personalized health state assessment and early warn. Disclosure of Invention The invention provides a health state assessment and early warning method and system based on a biosensor, which are used for solving the problems: The invention provides a health state assessment and early warning method and system based on a biosensor, wherein the method comprises the following steps: s1, acquiring and processing physiological information data through a biosensor to obtain physiological data acquisition and processing information; S2, carrying out health feature processing analysis according to the physiological data acquisition and processing information to obtain health feature processing analysis data, and carrying out health state evaluation analysis according to the health feature processing analysis data to obtain health state evaluation analysis data; And S3, performing risk early warning analysis according to the health state evaluation analysis data to obtain risk early warning analysis data, and performing differential early warning feedback according to the risk early warning analysis data to obtain evaluation early warning information. Further, the system comprises: the acquisition processing module is used for acquiring and processing physiological information data through the biological sensor to obtain physiological data acquisition processing information; the feature analysis module is used for carrying out health feature processing analysis according to the physiological data acquisition processing information to obtain health feature processing analysis data, and carrying out health state evaluation analysis according to the health feature processing analysis data to obtain health state evaluation analysis data; The state evaluation module is used for carrying out risk early warning analysis according to the health state evaluation analysis data to obtain risk early warning analysis data, and carrying out differential early warning feedback according to the risk early warning analysis data to obtain evaluation early warning information. The method has the beneficial effects that the technical problems that the flow of the traditional health monitoring method is fragmented, each link is disjointed, and the whole flow closed-loop monitoring cannot be realized are solved, and the defect that the traditional method can only realize single physiological index monitoring and cannot finish the integrated processing from data acquisition to early warning feedback is overcome. The health state evaluation and early warning integrated system has the advantages of realizing full-process automation and integrated treatment of health state evaluation and early warning, completing complete operation from physiological data acquisition to early warning information pushing without manual intervention, improving continuity and integrity of health monitoring, ensuring that physiological data ca