Body sensor network system based on compressed sensing

Abstract

The invention discloses a body sensor network system based on compressed sensing. The body sensor network system comprises sensor nodes, a wireless receiving module, a PC communication module, a signal reconstruction module, a data display module and a data analysis module, wherein each sensor node comprises a sensor module, a compressive sampling module and a wireless transmission module; the compressive sampling modules comprise random projection pulse-train generators, integrators, electronic switches and analog-digital conversion modules; the compressive sampling modules are suitable for signals of different frequencies, and meet collection requirements of signals of different frequencies by adjusting the parameters of the random projection pulse-train generators and the integrators; the compressive sampling modules achieve different compression ratios and different compression degrees of original signals by adjusting the parameters of the electronic switches. Based on a compressed sensing technology, the invention provides the novel body sensor network system and method which can achieve the purpose of compressing and sampling synchronously, and sampling and transmitting power consumption of the nodes in a body sensor network can be reduced effectively.

Description

technical field [0001] The invention relates to a body sensor network system, in particular to a body sensor network system based on compressed sensing. Background technique [0002] As an important branch of the Internet of Things, the body sensor network (also known as "body sensor network", "wearable sensor network", etc.) has been widely used in recent years, such as physiological parameter monitoring, chronic disease management, health watch, fall monitoring etc. However, in scenarios where real-time continuous acquisition is required, how to reduce the sampling and transmission power consumption of wireless sensor nodes and prolong the working time of sensor nodes has always been a bottleneck problem that needs to be overcome urgently. [0003] The theory of compressed sensing provides an effective solution to this problem. Compressed sensing theory breaks through the requirements of the traditional Shannon / Nyquist sampling theorem. It can use a sampling rate far low...

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Problems solved by technology

[0008] The disadvantage of this patent is that, on the one hand, the FPGA chip used in this patent is not suitable for the sensor nodes in the body sensor network due to its large size and high power consumption; on the other hand, the patent does not consider multiple Wireless Networking Problems of Sensor Nodes

[0010] The shortcoming of this patent is that it does not consider the specific implementation methods of analog signals of different frequencies and different compression ratios, so the scope of application of this patent is limited, only for specific analog signals, and cannot be extended to wider applications

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