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Heart disease computer-aided classification method based on continuous coherence and Fourier transform

A Fourier transform, computer-aided technology, used in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as strong parameter dependence, poor interpretability, and damage to signal structure information, and achieve wide application prospects, The effect of reducing the amount of calculation and maintaining accuracy

Pending Publication Date: 2022-04-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies in the prior art and to solve technical problems such as the destruction of signal structure information, poor interpretability, and strong parameter dependence faced by computer-aided diagnosis systems in electrocardiogram classification, and to creatively propose a A computer-aided classification method for heart disease based on continuous homology and Fourier transform

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  • Heart disease computer-aided classification method based on continuous coherence and Fourier transform
  • Heart disease computer-aided classification method based on continuous coherence and Fourier transform
  • Heart disease computer-aided classification method based on continuous coherence and Fourier transform

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Embodiment Construction

[0028] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] Such as figure 1 As shown, a computer-aided classification method for heart disease based on continuous homology and Fourier transform, including the following steps:

[0030] Step 1: If figure 2 As shown, the method of the present invention mainly assists in the classification of electrocardiographic signals such as health, left bundle branch block, ventricular flutter and ventricular premature beats.

[0031] The continuous ECG signal is preprocessed by interpolation and filtering.

[0032] Think of the ECG as a one-dimensional time series signal. Since the frequency of AC power used by power supply equipment in our country is 50Hz, and the power frequency interference generated by power supply equipment has a great influence on the ECG, therefore, butterworth filters can be used first to filter and reduce the noise of the ECG frequ...

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Abstract

The invention relates to a heart disease computer-aided classification method based on continuous coherence and Fourier transform, and belongs to the technical field of computer-aided diagnosis and signal processing. According to the method, the electrocardiogram is regarded as a one-dimensional time sequence signal, the signal is converted into the point cloud through Fourier transform, and the overall structural difference of the point cloud is researched through continuous homology extraction of topological characteristics, so that original signals are classified, the application effect is ensured, and the defects that information is lost and the method is easily interfered by fine factors are overcome. Fourier transform is a powerful tool for analyzing periodic signals, and due to completeness of a standard orthogonal basis, information of the signals can be completely converted into information of point clouds. The method can keep the accuracy, can greatly reduce the calculation amount, is based on the topological characteristics of the signals, does not depend on adjustment parameters, and has remarkable advantages. The method has a wide application prospect in the fields of biomedicine, signal processing and the like besides the field of electrocardiosignal classification.

Description

technical field [0001] The invention relates to a computer-aided classification method for pre-classifying abnormal conditions of heart disease based on continuous coherence and Fourier transform, and belongs to the technical field of computer-aided diagnosis and signal processing. Background technique [0002] As one of the diseases with the highest fatality rate in the world, heart disease is a great threat to human health and safety. Facing the ever-increasing incidence population, judging, predicting and timely preventing heart disease are of great significance for protecting life and realizing personalized medicine. The traditional method of diagnosing heart disease is mainly to observe the electrocardiogram which records the electrical activity of the heart contraction. However, the interpretation of ECG requires professional medical personnel and detailed medical background knowledge. Manual interpretation by medical personnel will not fully guarantee the life and he...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/346A61B5/00
Inventor 倪寅孙华飞孙福鹏罗翼昊向政瑞
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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