Motion sensing net perception terminal system, perception node and perception method

Abstract

The invention discloses a motion sensing net perception terminal system, a perception node, and a perception method. When the motion sensing net perception terminal system is achieved, a SoC is adopted to achieve the perception node. Compared with an analogy circuit adopted in the prior art, the motion sensing net perception terminal system has the advantages of being portable, low in power consumption, small in size, and multiple in mode for collecting physiological signals. When the human body physiological signals are collected, simulative human body physiological signals and digital human body physiological signals are respectively collected, and noise wave filtering, amplifying sampling, and transition are conducted to the simulative human body physiological signals so that the digital human body physiological signals are formed. When data are transmitted, the data are transmitted between the perception node and a terminal through an established motion sensing net transmission protocol based on the connection of Bluetooth with low power consumption, and therefore signal quality is good, and transmission is continuous. Therefore, the perception node is portable, low in power consumption, small in size, and multiple in mode for collecting the physiological signals, and when the data are transmitted, the signal quality is good and the transmission is continuous.

Description

technical field [0001] The invention relates to the field of mobile health, in particular to a somatosensory network sensing terminal system, a sensing node and a sensing method. Background technique [0002] With the development of high-tech such as mobile communication, somatosensory network and sensors, the technical field of mobile health has increasingly shown broad market prospects. Among them, the somatosensory network sensing terminal system is an important part of the mobile health field, including various wearable sensing nodes that automatically collect physiological signals of the human body, such as ECG, blood pressure, exercise and other physiological parameters, and perform front-end signal processing, data fusion and feature extracted, and finally transmitted to the terminal used by the user through wireless communication. The terminal used by the user can further transmit the data to the remote health care service provider through the wireless network. [...

AI Technical Summary

Problems solved by technology

[0019] However, because Bluetooth low energy and ordinary Bluetooth are different in modulation mode, channel allocation and control mode, the existing designs cannot be compatible with low energy Bluetooth technology, and low energy Bluetooth technology cannot be directly applied to the nodes of the somatosensory network. , requires special circuit design and somatosensory network transmission control protocol design

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