Intelligent blood pressure management and analysis system based on LSTM model

Abstract

The invention provides an intelligent blood pressure management and analysis system based on an LSTM model. The intelligent blood pressure management and analysis system comprises a hardware platform,a cloud platform and a data analysis platform which are connected in sequence, wherein the hardware platform is used for measuring blood pressure and pulse and uploading measurement results and measurement time data to the cloud platform; the cloud platform is used for storing the measurement results and the measurement time transmitted by the hardware platform; and the data analysis platform isused for analyzing and comparing the measurement results. A curve graph can be formed by fitting according to the blood pressure and pulse data, and an exclusive blood pressure prediction model is established for each user by using the machine learning LSTM model, so that early warning prompt can be effectively carried out; and the evaluation indexes such as the blood pressure dynamic mean value,the blood pressure load value and the night blood pressure drop rate of the user and the users of the same age group are compared, so that the users can know the health conditions of the users of thesame kind and improve the health conditions of the users according to the health conditions.

Description

technical field [0001] The invention belongs to the medical field, and in particular relates to an intelligent blood pressure management analysis system based on an LSTM model. Background technique [0002] Blood pressure is a very important health indicator of the human body. Only by maintaining a normal blood pressure can the physiological activities of the human body be guaranteed. The number of people with high blood pressure in my country is huge. The number of known hypertensive patients in my country has reached 270 million, and the number of hypertensive patients in the world has exceeded 1.1 billion. The prevalence of hypertension is about 20%, and the number of hypertensive patients is still on the rise. , and concentrated in the middle-aged and elderly groups, the prevalence of hypertension is also increasing year by year. [0003] Blood pressure is a long-term changing process. The blood pressure cannot be measured by just one or two groups of data, but a long-te...

AI Technical Summary

Problems solved by technology

At present, domestic hospitals and family individuals analyze blood pressure status basically by testing one or two sets of data, which cannot fully reflect a person's health status such as blood pressure fluctuations

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