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Method and system for extracting electrocardiosignal characteristic

An electrocardiographic signal and feature extraction technology, which is applied in the fields of bioelectrical signal measurement, electrocardiography, medical science, etc., and can solve the problems of poor robustness, low accuracy, and high storage space requirements.

Active Publication Date: 2010-09-15
SHENZHEN UNIV
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Problems solved by technology

[0019] The technical problem to be solved by the present invention is to provide a method and system for extracting ECG signal features in view of the above-mentioned defects of low accuracy, large amount of calculation, poor robustness, and high storage space requirements in the prior art

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Embodiment Construction

[0095] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0096] figure 2 It is a schematic flowchart of a method for extracting ECG signal features according to an embodiment of the present invention. figure 2 The illustrated method 200 is used for feature extraction of R-waves of ECG signals.

[0097] In step 201, multiple wavelet transformations are performed on the sampled ECG signal x(n) based on an adaptive lifting method until reaching a preset scale value;

[0098] In step 202, the threshold is calculated according to the wavelet coefficient d(n);

[0099] In step 203, the position of the R wave in the ECG signal is detected according to the ...

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Abstract

The invention relates to a method and a system for extracting an electrocardiosignal characteristic. The method comprises the following steps of: A, performing wavelet transformation on a sampled electrocardiosignal x(n) for multiple times until a preset scale value is reached based on an adaptive lifting method; B, calculating a threshold value according to a wavelet coefficient d(n); C, detecting the position of an R wave in the electrocardiosignal according to the threshold value; and D, judging whether the position of the R wave is correct or not according to a scale coefficient c(n) and if the position of the R wave is not correct, adjusting the threshold value according to a preset step length and returning to the step C. The invention also relates to a system for extracting the electrocardiosignal characteristic. The system comprises a wavelet transforming unit, a threshold value calculating unit, a detecting unit and a judging unit. The characteristic extracting method has the advantages of high correctness, higher anti-jamming capability, low operation amount, independence of Fourier transform, capability of effectively saving system resource and contribution to the functional expansion of an electrocardiosignal processing system.

Description

technical field [0001] The present invention relates to electrocardiographic signal analysis technology, more specifically, to a method and system for extracting electrocardiographic signal features. Background technique [0002] Electrocardiogram (electrocardiogram) is recorded by body surface electrodes over time, reflecting the recording of cardiac electrical activity, and is the earliest bioelectrical signal studied and applied clinically. Because ECG has important clinical applications in the diagnosis of cardiovascular diseases and the evaluation of drug efficacy, it is still a research hotspot in the medical and biomedical engineering fields. ECG can be used to diagnose arrhythmia, reflect electrolyte disturbance, and judge blood potassium and blood calcium concentration. Evaluate the working condition of the pacemaker, check the heart condition after operation and prompt the necessary drug treatment, etc. A standard ECG such as figure 1 shown. ECG signal is compo...

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Application Information

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IPC IPC(8): A61B5/0456A61B5/0472A61B5/0452A61B5/352A61B5/366
CPCA61B5/726A61B5/0456A61B5/352
Inventor 纪震李琰李蓁储颖
Owner SHENZHEN UNIV
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