Human health evaluation method and evaluation system based on sleep big data

Abstract

The invention discloses a human health evaluation method and evaluation system based on sleep big data. The health big data research refers to stably obtaining human vital sign data for a long-term ina continuous growth manner, and adopting the advanced data mining technology to be clearly describe the physical state of a human individual and predict the future of the health of the human individual. The human health evaluation method includes: acquiring physiological data of the human body during sleep and storing the physiological data in a cloud server through a sensor mounted on a bed; andusing an artificial intelligence learning model to obtain human physiological evaluation indexes and generate a human health state analysis report. The data of the sensor mounted on the bed is acquired, artificial intelligence learning model data training is performed, the model can automatically learn features associated with the human health, and then the time cost of manually selecting and constructing features can be saved, the purpose of accurately predicting diseases can be achieved, and a disease type can be directly acquired in the health evaluation report by training a classifier model.

Description

Technical field [0001] The invention relates to the technical field of sleep health data analysis and management, in particular to a human health evaluation method and evaluation system based on sleep big data. Background technique [0002] At present, people’s common physical health assessment methods mainly include questionnaire surveys, testing various physical indicators with the help of medical devices, and wearing wearable devices with physiological data for daily wear and so on. Among them, the questionnaire survey is a health assessment questionnaire provided by the users participating in the survey for medical staff, combined with their daily physical status to answer the questionnaire, and the medical staff collects the questionnaire filled by the user and evaluates the user's health status. To detect physiological data through medical devices or wearable devices, it is necessary to record the test results regularly, and discover health problems in time based on the rec...

AI Technical Summary

Problems solved by technology

However, the method of measuring brain waves, myocardium, etc., requires electrodes to be attached to the subject's body, and the burden on the experimenter is very heavy.

Therefore, it is impossible to measure brainwaves and myocardium etc. in general households

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