Body area network energy-saving method based on sparse representation and compressed sensing

A technology of compressed sensing and body area network, applied in the field of body area network, can solve problems such as difficult frequent replacement, limited energy of body area network nodes, and high hardware configuration

Inactive Publication Date: 2017-04-05
HUBEI UNIV OF ARTS & SCI
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Problems solved by technology

[0005] The energy of body area network nodes is very limited, and it is not easy to replace them frequently, while the central base station nodes usually have high hardware configuration, and the battery is easy to

Method used

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  • Body area network energy-saving method based on sparse representation and compressed sensing
  • Body area network energy-saving method based on sparse representation and compressed sensing
  • Body area network energy-saving method based on sparse representation and compressed sensing

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment, as figure 1 , figure 2 and image 3 As shown, a body area network energy-saving method based on sparse recognition and compressed sensing, the specific steps are,

[0029] Step 1: Build a complete dictionary

[0030] There are two ways to construct a dictionary. One is to directly construct a dictionary from existing training samples through a mathematical model. This method cannot guarantee that the signal is sufficiently sparse; the second is to obtain a dictionary that adapts to the characteristics of the signal by learning the training samples. Dictionary learning constantly updates the sparse representation coefficients and dictionary atoms, and finds a new dictionary that can make the signal the sparsest, thereby improving the recognition rate and calculation rate. The over-complete dictionary D constructed from training samples has a large am...

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Abstract

The invention discloses a body area network energy-saving method based on sparse representation and compressed sensing. The method specifically includes: performing normal and abnormal classification and coding on sample data in an existed database and establishing an over-complete dictionary D, performing dimension reduction processing on a test sample y and the dictionary D by employing a sub-Gaussian random matrix, calculating the sparse representation sparsity shown in the description of a compression signal shown in the description by employing a sparse representation-based algorithm, then determining whether the test sample is an effective signal shown in the description, if not, directly filtering the signal and re-starting sampling by a node, if yes, calculating the signal minimum residual error position i through residual error identification, performing marking and checking with the database, directly entering a sleep state by the node if the signal is a normal signal, transmitting the compression signal shown in the description to a central base station for node reconstruction by the node if the signal is an abnormal signal, and finally sending a reconstruction signal y' to a remote medical center for diagnosis and analysis and taking first aid measures. According to the method, the body area network node sleep energy saving and data compression transmission energy saving are realized, and the energy consumption of the body area network is reduced.

Description

technical field [0001] The invention relates to the technical field of body area networks, in particular to a body area network energy-saving method based on sparse recognition and compressed sensing. Background technique [0002] The wireless body area network is centered on the human body and aims to collect various physiological parameters of the human body. It is a wireless communication network composed of sensors distributed on the surface of the human body or implanted inside the human body and personal data collection and processing terminals. my country is a country with a large population. People's requirements for health care are constantly increasing, but medical resources are limited. It is impossible for everyone to have a doctor. With the aging of the population, cardiovascular diseases are increasing, and many diseases occur suddenly and many potential diseases. The disease was not discovered in time, and the best time for treatment was missed. With the rapid...

Claims

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Application Information

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IPC IPC(8): H04W4/00H04W52/02
CPCH04W4/38H04W4/80H04W52/0225Y02D30/70
Inventor 周岳斌陈家顺马贺贺程昊
Owner HUBEI UNIV OF ARTS & SCI
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