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Electrocardiogram data compression method and decoding method based on optimum time frequency space structure code

A compression method and electrocardiographic data technology, applied in the field of biomedical engineering, can solve the problems of mass data storage and transmission, reduction of information entropy and redundancy by compression ratio, and achieve the effect of monitoring and recording

Inactive Publication Date: 2008-01-09
TIANJIN UNIV
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Problems solved by technology

[0012] The gist of the present invention is to propose a method for compressing ECG data, in order to break through the compression ratio bottleneck of traditional wavelet domain embedded coding, and further reduce the information entropy and redundancy after compression, so as to solve the problem of mass data storage in remote ECG monitoring and transmission issues

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  • Electrocardiogram data compression method and decoding method based on optimum time frequency space structure code
  • Electrocardiogram data compression method and decoding method based on optimum time frequency space structure code
  • Electrocardiogram data compression method and decoding method based on optimum time frequency space structure code

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Embodiment Construction

[0043] Aiming at the problems of massive data storage and real-time transmission in the remote ECG monitoring system, the present invention tries to find out an efficient ECG compression algorithm from the perspective of theoretical analysis and practical demonstration. First, by comparing the characteristics of the time-domain compression algorithm and the transform-domain compression algorithm, the research on the wavelet domain expansion algorithm with time-frequency resolution advantages is determined. Then, according to the characteristics of the information entropy of the ECG signal in the time domain and the frequency domain, the bottleneck problem of the compression ratio existing in the traditional wavelet domain compression method is theoretically found out, and it is proposed to implement embedded coding by constructing an optimal time-frequency space structure code to realize ECG Efficient compression of data while implementing progressive transfer coding with scala...

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Abstract

The present invention belongs to the field of biomedical engineering technology, relates to a cardiac electric data compression method. Said method includes the following main steps: according to the time-domain autocorrelation characteristics of collected electrocardiosignal making multifragment optimum time-base decomposition of signal, then for every time base fragment respectively constructing low redundant mapping relationship under the optimum wavelet packet base, so that it can obtain optimum time frequency space structure code of whole electrocardiosignal, then according to said structure code making embedded encoding algorithm to implement high-effective compression of cardiac electric data.

Description

technical field [0001] The invention relates to a method for compressing electrocardiographic data, which belongs to the technical field of biomedical engineering. Background technique [0002] In recent years, ECG monitoring has developed from non-real-time off-line monitoring to remote ECG monitoring based on mobile communication network. The monitoring terminal can not only record data, but also have the ability to transmit data in real time. As a result, two key technical issues need to be solved urgently: one is to have a mass storage device to meet the long-term data recording requirements; the other is to have high-speed and accurate data transmission performance to realize the online monitoring of the disease. For this reason, it is necessary to efficiently compress the ECG data. [0003] At present, the ECG data compression algorithm is mainly divided into two categories, one is the time domain compression algorithm, and the most widely used one is the polyline fi...

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Application Information

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IPC IPC(8): A61B5/0402G06F17/00
Inventor 周仲兴明东万柏坤程龙龙
Owner TIANJIN UNIV
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