Sign abnormity warning method and intelligent mattress system

Abstract

An embodiment of the invention provides a sign abnormity warning method and an intelligent mattress system. The sign abnormity warning method comprises the steps of pre-determining a sign parameter over-slow threshold and a sign parameter over-fast parameter of each user according to first sign data of each user in a first preset period; acquiring second sign data of each user in a second preset period, and determining a second sign mean value of each user according to the second sign data; and if a fact that the second sign mean value of the user is higher than the sign parameter over-fast threshold of the user or the second sign mean value is lower than the sign parameter over-slow threshold of the user is determined, generating the sign abnormity alarm information of the user. Accordingto the sign abnormity warning method, different sign thresholds are set for each user according to the sign data of the user in the preset period; because the threshold value is set according to theself condition of the user and is updated according to the preset period, higher reasonability in setting the threshold value is realized, thereby improving alarm information detection rate and reducing the number of false alarms.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of the Internet of Things, and in particular to a method for warning of abnormal signs and an intelligent mattress system. Background technique [0002] Smart mattresses are non-wearable vital sign monitoring devices that are widely used in the smart elderly care market to provide safe care services for elderly users. Its working principle is: the mattress device collects the user's weak vibration and calculates the corresponding heart rate / breathing value, and then uploads the user's vital signs data to the cloud platform server every few seconds. The user's vital signs data include heart rate, respiration, body movement and in-bed / out of bed status, etc. [0003] The smart mattress judges the collected user's physical signs data. If the average value of the physical sign data exceeds the preset threshold within a period, an alarm is generated to attract the attention of the use...

AI Technical Summary

Problems solved by technology

[0004] However, the over-slow and over-speed thresholds in the current intelligent mattress alarm method cannot be applied to all users. Taking elderly users as an example, the physical signs of healthy elderly, long-term bedridden elderly, and centenarians have great differences. If a fixed Threshold, it is easy to lead to a low detection rate of abnormal signs or a high false alarm rate; in addition, even for the same user, as the age increases and the level of health care changes, the judgment threshold always maintains the same fixed threshold, which cannot be guaranteed at the same time. High detection rate of disease early warning and minimize the number of false alarms

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