An intelligent health service system and a reliable detection method for an alarm

Abstract

The invention discloses an intelligent health service system and an alarming reliable detection method. The method comprises a falling detection method and a platform alarming method. The falling detection method comprises the following steps: collecting an accelerated speed and angular speed data of a wearer at fixed time, monitoring a parameter and recording a changing data sequence; judging if a falling process exceeds a falling threshold value thereof; if the falling process exceeds the falling threshold value, judging if heart rate is abnormal, and if the heart rate belongs to an abnormal scope, setting a high-risk-level falling alarm; otherwise, setting a medium-risk-level falling alarm; if the falling process does not exceed the falling threshold value, setting a low-risk-level falling alarm; sending a falling alarm event and a physiological sign data of the wearer to a cloud health service platform. An intelligent wearing device provided by the invention can accurately confirm if a serious falling event occurs, a mistakenly reported and low-influence falling event is effectively filtered, and the alarm answering and processing pressures of the cloud health service platform and seat mould are reduced.

Description

technical field [0001] The invention relates to the technical field of smart wearable devices, in particular to an intelligent health service system and a reliable alarm detection method. Background technique [0002] At present, the total number of elderly people over the age of 60 in the world has reached 600 million, and the elderly population in more than 60 countries has reached or exceeded 10% of the total population, and has entered the ranks of the population aging society. In the 21st century, aging will become the world's most one of the serious problems. China's existing elderly population has exceeded 160 million, and it is increasing at a rate of nearly 8 million every year. Experts predict that by 2050, China's elderly population will reach one-third of the total population. With the rapid increase of the elderly population, especially the average annual growth rate of 1 million elderly people over 80 years old and disabled elderly people, the demand for life ...

AI Technical Summary

Problems solved by technology

However, the existing patented technologies and products have the following main disadvantages: 1. The reliability of the safety and health detection methods is poor, and the rate of false positives and false negatives is high; 2. The measurement function needs to be manually started by the user through a small screen. Low degree of modernization, poor human-computer interaction, and poor operability; 3. No consideration of the convenience needs of the elderly; 4. Non-systematic closed-loop solutions, poor evaluability and traceability of health treatment programs; 5. No attention to the elderly spiritual needs, etc.

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