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A three-lead method for reconstructing twelve-lead ECG signals

A technology of electrocardiogram and electrical signals, applied in the field of medical devices, can solve the problems of lack of convenience and accuracy, influence, and poor control of patients' conditions.

Inactive Publication Date: 2017-05-03
ZHEJIANG MEDZONE BIOMEDICINE VENTURE INVESTMENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, allowing patients to wear a 12-lead electrocardiogram at home naturally lacks convenience and accuracy. Due to too many lead wires, it will also have a certain impact on daily life. This situation is very important for the patient's condition control. Adverse

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  • A three-lead method for reconstructing twelve-lead ECG signals
  • A three-lead method for reconstructing twelve-lead ECG signals
  • A three-lead method for reconstructing twelve-lead ECG signals

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Embodiment Construction

[0033] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] Such as figure 1 As shown, the three-lead method of the present invention reconstructs twelve-lead electrocardiographic signals, comprising the following steps:

[0035] (1) Simplify the establishment of output channels and databases.

[0036] In the case of using the three-lead ECG signal acquisition equipment and the twelve-lead acquisition equipment correctly, the three-lead ECG signals of the three-channel group m and the twelve-lead ECG signals of the twelve-channel group m are collected synchronously , m is a natural number greater than 1; the three-lead electrocardiographic signals of group m are used as the characteristic sequence, and the electrocardiographic signals of eight independent leads in the twelve-lead group of m (that is, I, II...

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Abstract

The invention discloses a method for reconstructing twelve-lead electrocardiographic signals with three leads. The method uses an artificial neural network learning algorithm to accurately establish a reconstruction model in an optimized manner of Levenberg-Marquardt, and restores the system model. , Realized the use of three-lead monitoring data to accurately reconstruct twelve-lead data. The present invention is significantly different from the existing twelve-lead reconstruction method. The existing twelve-lead reconstruction method uses some of the standard twelve-lead leads to reconstruct the remaining leads; and the method of the present invention is The standard 12-lead signal is reconstructed with the Holter three-lead signal which is completely irrelevant to the standard 12-lead, so the present invention effectively combines the advantages of the 12-lead and three-lead, making it easier for patients and doctors to accept , and can accurately diagnose.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to a method for reconstructing ECG signals of twelve leads with three leads. Background technique [0002] According to the "China Cardiovascular Disease Report 2012" data released by the National Center for Cardiovascular Diseases, the number of patients with cardiovascular diseases in China has reached 290 million, that is, 2 out of every 10 adults suffer from cardiovascular diseases, about 350 per year. Ten thousand people die of cardiovascular disease, which means that one person dies of cardiovascular disease every 10 seconds. Another clinical study conducted by the National Center for Cardiovascular Diseases and Fuwai Cardiovascular Disease Hospital showed that in China, the number of hospitalized patients with cardiovascular diseases more than quadrupled between 2001 and 2010. In 2001, the average number of hospitalizations due to heart disease was 3.7 pe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/10G06F2218/02
Inventor 赵晓鹏姚剑何挺挺姚志邦
Owner ZHEJIANG MEDZONE BIOMEDICINE VENTURE INVESTMENT