Wearable device and method for intelligent monitoring and early warning of chronic diseases

Abstract

The invention discloses a wearable device and method for intelligent monitoring and early warning of chronic diseases. The device includes a wearable equipment terminal, a user mobile terminal and a cloud server; the wearable equipment terminal transmits collected physiological signals, motion data and location information processed through a data signal processing module to the user mobile terminal through the wireless communication module; the user mobile terminal includes a wireless communication module, a data storage module and a data processing module; the data processing module is internally provided with an evaluation and prediction model, data in the data storage module is called for evaluating and predicting chronic diseases of users through the evaluation and prediction model in real time, and the evaluation and prediction result is sent to a user interaction interface; the cloud server includes a cloud database and an evaluation and prediction model update module, the cloud database is used for storing the data evaluation and prediction result sent from the user mobile terminal, and an updated personalized evaluation and prediction model is sent to the user mobile terminal to update the evaluation and prediction model.

Description

technical field [0001] The invention belongs to the technical field of smart medical care, and relates to a wearable chronic disease intelligent monitoring and early warning device and method. Background technique [0002] According to the data of the 4th my country National Health Service Survey in 2008, the prevalence of chronic diseases among Chinese residents has reached 20%. In 2012, the number of patients with chronic diseases diagnosed in my country has exceeded 260 million, and the deaths caused by chronic diseases accounted for 85% of the total number of deaths. With the increasing population aging and the deteriorating living environment, chronic diseases have become a major public health and social problem in my country. Not only that, according to the report of the World Health Organization, in 2008, about 36 million people died of chronic diseases in the world, accounting for about 63% of all deaths. It can be seen that chronic diseases have become the leading...

AI Technical Summary

Problems solved by technology

This kind of prediction is not real-time, and each index of the patient needs to be collected separately. This kind of prediction method cannot monitor the heart activity in real time and predict the risk of cardiovascular disease attack in real time.

Images