Automatic denoising method of electrocardiogram signals

An automatic ECG signal technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of loss of useful information of ECG signals, difficulty in obtaining absolutely clean signals, and difficulty in removing overlapping noises

Inactive Publication Date: 2019-08-27
HEBEI UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to provide an automatic denoising method for ECG signals, so as to solve the problems of existing methods that it i

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  • Automatic denoising method of electrocardiogram signals
  • Automatic denoising method of electrocardiogram signals
  • Automatic denoising method of electrocardiogram signals

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings, and those skilled in the art can realize the present invention from the contents disclosed in this specification.

[0030] Such as figure 1 Shown, the implementation process of the present invention is as follows:

[0031] A) Building a lossless constrained autoencoder

[0032] ① Input signal X n It is the original noisy signal. After random mapping, according to a certain destruction rate, randomly select nodes to set to zero to obtain the artificially destroyed signal The corrupted signal is used as the final input signal of the network. The input layer to the hidden layer adopts the Sigmoid function, then the output feature vector of the hidden layer is Where W is the weight matrix of the coding part, b is the bias vector, and the two together constitute the network parameters {W, b} of the coding part.

[0033] ②The principle of the decoding part is ...

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Abstract

The invention relates to an automatic denoising method of electrocardiogram signals, and the method comprises the following steps: a. obtaining electrocardiogram signals from a human body, determiningthe length of network input samples, artificially destroying the sample data, obtaining destroyed electrocardiogram signal samples and constructing a training set and a test set; b. pre-training a denoising auto-encoder using untagged noise-containing electrocardiogram signal samples in the training set to obtain initialized network parameters; c. after the pre-training, tuning the overall network parameters using tagged noise-containing electrocardiogram signal samples in the training set, and making the network parameters meet the requirements of reconstruction error; and d. inputting the test set into a stack network structure of the lossless constraint denoising auto-encoder to obtain clean electrocardiogram signals. Through the treatment by the method in the invention, the clean electrocardiogram signals after denoising do not only effectively filter out noises, but also restore low-frequency characteristic waves of the electrocardiogram signals, so as to retain the effective information of the electrocardiogram signals.

Description

technical field [0001] The invention relates to an automatic detection and analysis technology of electrocardiographic signals, in particular to an automatic noise reduction method for electrocardiographic signals. Background technique [0002] In recent years, the morbidity and mortality of cardiovascular and cerebrovascular diseases in my country rank first among all kinds of diseases, and have become the number one killer of human health. Among the top ten causes of death in the world, the number of ischemic heart disease ranks first. For the detection of ECG signals, ECG is undoubtedly the most effective means of diagnosing cardiovascular diseases. However, continuous information may be missed in just a few minutes in the hospital, resulting in misdiagnosis. Therefore, the long-term dynamic electrocardiogram can fully reflect the changes of the patient's ECG signal. [0003] Different from the static collection data of the hospital, the long-term dynamic electrocardiogr...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7203A61B5/7267A61B5/318
Inventor 刘秀玲李鑫熊鹏刘明杜海曼杨建利张杰烁
Owner HEBEI UNIVERSITY
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