Smart monitoring system for physiological signal sensing data

Abstract

The invention provides a smart monitoring system for physiological signal sensing data. The system includes a sensor monitoring device, a data preprocessing device and a monitoring terminal. The sensor monitoring device collects physiological signal sensing data in real time and transmits the physiological signal sensing data to the data preprocessing device for preprocessing. The data preprocessing device transmits physiological signal sensing data subjected to processing to the monitoring terminal for comprehensive analysis. According to the invention, real time monitoring of the physiological signal sensing data of different types is realized and monitoring is convenient and flexible.

Description

technical field [0001] The invention relates to the medical field, in particular to an intelligent monitoring system for physiological signal sensing data. Background technique [0002] The human physiological signal sensing data monitoring system of wireless sensor technology has developed rapidly, but generally it can only monitor fixed physiological signal sensing data (such as a single parameter such as heart rate, pulse, etc.), and has not formed a monitoring system for physiological signal sensing data. It is impossible to make comprehensive judgments and give accurate conclusions on whether the human body is in a normal physiological state; and once the monitoring plan is changed, it needs to be redesigned or purchased, resulting in idle equipment and waste of resources. Therefore, it cannot meet the needs of individualized physiological condition monitoring of subjects in different environments such as families, hospitals, and communities. Contents of the invention...

AI Technical Summary

Problems solved by technology

[0002] The human physiological signal sensing data monitoring system of wireless sensor technology has developed rapidly, but generally it can only monitor fixed physiological signal sensing data (such as a single parameter such as heart rate, pulse, etc.), and has not formed a monitoring system for physiological signal sensing data. The network cannot make comprehensive judgments and give accurate conclusions on whether the human body is in a normal physiological state; and once the monitoring plan is changed, it needs to be redesigned or purchased, resulting in idle equipment and waste of resources

Therefore, it cannot meet the needs of individualized physiological condition monitoring of subjects in different environments such as families, hospitals, and communities.

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