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Multi-channel electroencephalogram signal compression method based on correlation function

A technology of EEG signal and compression method, which is applied in complex mathematical operations, medical science, sensors, etc., can solve the problems of large size of measurement equipment, reduced portability, etc., to achieve dynamic range and energy reduction, and reduce transmission power consumption. and storage consumption, the effect of reducing the amount of data

Active Publication Date: 2020-07-14
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, due to the long-term measurement and recording of EEG signals will generate a large amount of data, the current measurement equipment needs to design a storage space with sufficient capacity to store all the large amounts of data, which will lead to the volume of the portable measurement equipment Larger, reducing its portability

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  • Multi-channel electroencephalogram signal compression method based on correlation function
  • Multi-channel electroencephalogram signal compression method based on correlation function
  • Multi-channel electroencephalogram signal compression method based on correlation function

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Embodiment Construction

[0039] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0040] The basic ideas of the present invention include: for multi-channel EEG signals, first calculate the autocorrelation function of each channel and the cross-correlation function between any two channels, and then calculate the differential signal between any two channels according to the autocorrelation and cross-correlation functions The energy difference with the original signal, and then sort all the energy differences in ascending order, and adjust the corresponding reference channel and encoding channel seq...

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Abstract

The invention belongs to the technical field of electroencephalogram signal processing, and discloses a multi-channel electroencephalogram signal compression method based on a correlation function. The method comprises the steps that an autocorrelation function of each channel and a cross-correlation function between any two channels are calculated; the energy difference value of a differential signal and an original signal of any two channels is calculated by using the autocorrelation function and the cross-correlation function; a reference / coding channel sequence table is obtained based on the energy difference value; according to the reference / coding channel sequence table, a unique reference channel is designated for each channel, and a differential coding tree is constructed; differential operation is carried out on each channel based on the differential coding tree to obtain a differential signal of each channel; and Huffman coding is carried out on the data contained in the differential signal to obtain compressed data. According to the multi-channel electroencephalogram signal compression method, the compression rate of electroencephalogram signals can be improved, so thatthe transmission power consumption and the storage consumption are reduced.

Description

technical field [0001] The present invention relates to electroencephalogram signal processing technology, in particular to a multi-channel electroencephalogram signal compression method based on correlation function. Background technique [0002] With the development of microelectronics, biomedicine, brain-computer interface and other fields, the wireless body area network (Wireless Body Area Network, WBAN) is the center, and the remote physiological signal monitoring of the target object, including the electroencephalogram signal (EEG), ECG, etc. Signal (ECG) and so on are gradually becoming the norm. EEG signals can reflect the neural electrical activity of the brain and are not camouflaged. They are often used in the diagnosis of epilepsy and other brain diseases, as well as in the recognition of emotions and identity of the human body. In the above fields, it is usually necessary to perform multi-channel and long-term measurement of EEG signals to obtain a large amount...

Claims

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Application Information

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IPC IPC(8): A61B5/0476G06F17/15
CPCA61B5/316A61B5/369G06F17/15
Inventor 欧阳洪浩贺小勇
Owner SOUTH CHINA UNIV OF TECH
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