Research Of Multi-parameter Human Physiological Signals Dynamic Detection

In recent years, along with the accelerating pace of modernization, the quality of life has improved significantly, people now pay more attention to their own general level of the health. Because of its natural and healthy way, movement health care becomes the first choice of most people. Then the devices with step funciton such as Smart bracelet and Smartphone pedometer appeared. But such devices only can simply record one’s exercise amount, when it comes to detect the physiological parameters which truly reflect a person’s health status, they often become incapable. For example, most devices now can’t monitor oxygen saturation, body temperature, pulse and sports energy. So a miniaturized, portable device which can real-time monitor one’s physiological parameters and directly viewed by the users is very important for people’s health care. Response to these circumstances, a multi-parameter physiological signal monitoring system was presented in this paper.In this paper, based on the analysis of existing portable physiological parameter monitoring technology, a multi-parameter human physiological signals dynamic detection system was studied. The system contains a lot performances, such as low power consumption, small size, portable, etc. The headband structure of this system was used to reduce the effect caused by poor contact and motion disturbances. The changes of a person’s physiological signal in motion state were also achieved by this system. The main contents of the paper are as follow:Firstly, measuring principle of human physiological signal and system structure. Through the analysis of a large number of literature, the systemizing cognition of the method of physiological signal detection was deeply get. On the basis of the work done by predecessors, according to the system functional requirements, an overall design scheme for the physiological detection apparatus was designed. Each circuit module of the system such as microprocessor module, signal acquisition module, WiFi communication module and power module were designed.Secondly, software design of embedded physiological signal detection device. The physiological signal was sampled, handled and calculated by STM32, and transferred from the microprocessor to the WiFi communication module by serial port. The data communications between the lower computer and the PC terminal is through WiFi communication mechanism, and the processed and calculated physiological data was transmitted to the host terminal.Thirdly, the PC software system design. The Qt was used for PC terminal development, in one hand, the lower computer module was controlled by the host terminal. On the other hand, the function of physiological signals real-time display and data storage was realized, so it can give a convenience for the user observing and further data analysis.Finally, through the analysis of system testing and experimental results of the device, it was verified that the physiological signal could be real-time monitored in a dynamic environment. And the obtained physiological data was also verifed to be high accuracy, the desired results is achieved.