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Physiological electric signal entropy analysis method based on de-trending terms

An analysis method and detrending technology, applied in the field of signal processing, can solve problems such as no good filtering method

Inactive Publication Date: 2019-11-22
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For the problem of removing the trend item, there is currently no good filtering method to eliminate the internal frequency aliasing phenomenon

Method used

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  • Physiological electric signal entropy analysis method based on de-trending terms
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  • Physiological electric signal entropy analysis method based on de-trending terms

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Embodiment Construction

[0074] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0075] In either embodiment, if figure 1 Shown, a kind of physiological electrical signal entropy analysis method based on detrending term of the present invention, comprises the following steps:

[0076] Step 1, selecting an appropriate signal sequence;

[0077] Step 2, preprocessing the signal sequence: the extracted RR interval signal has components such as ectopic pacing points and artifacts. Before the experiment, the data is preprocessed, and the signals...

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Abstract

The invention discloses physiological electric signal entropy analysis method based on de-trending terms. The method can determine trend term components corresponding to different frequencies according to a one-to-one numerical relationship between cut-off frequencies and characteristic value parameters of trend terms, which is an advantage that wavelet analysis and ensemble empirical mode decomposition methods do not have. Secondly, trend terms of different components are superposed on the HRV signals under the circadian rhythm of a healthy person in the standard database to enable the HRV signals to present a single or mixed trend to a certain extent, then he trend terms of the HRV signals are eliminated by using a smooth prior method, and finally entropy values under different trends before and after detrending are respectively calculated by using approximate entropy and fuzzy entropy. The two entropy analysis methods can identify two groups of samples under different trend interferences, so that the two entropies have the advantage of trend or noise existing in processing signals, and another important way is opened up for nonlinear signal processing and characteristic value selection.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for analyzing the entropy of physiological electrical signals based on detrending items. Background technique [0002] The latest survey shows that about 4 million people die of various cardiovascular diseases in my country every year. At present, the number of patients with various cardiovascular diseases in my country has reached 290 million. At the same time, due to the irregular work of young people and the increasing amount of overtime, heart disease patients have shown a trend of younger age. These phenomena all show that heart disease has become the most common disease that hinders human health. Therefore, the effective prevention, diagnosis and treatment of cardiovascular dysfunction is the primary problem facing the medical field today, and it has also become an important research topic for many scholars. At present, the research on the output signal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62A61B5/00
CPCA61B5/7235G06F18/211
Inventor 冯鑫涛彭世伟万蕾陈晨李鑫钊廖旭东
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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