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Electrocardiogram data augmentation method, device, electronic equipment and medium

An electrocardiogram and data technology, applied in the medical field, can solve the problems of inapplicable electrocardiogram data augmentation, damage to the medical significance of electrocardiogram, and the inability to actively use machine learning models to achieve the effect of improving performance and increasing the amount of data

Active Publication Date: 2021-08-10
BIOISLAND LAB +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the use of conventional data augmentation methods such as flipping, rotating, and cropping will destroy the medical significance of ECG and cannot play a positive role in the training of machine learning models. The data augmentation methods of ordinary image processing cannot be applied to ECG. Data Augmentation of Signals

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  • Electrocardiogram data augmentation method, device, electronic equipment and medium
  • Electrocardiogram data augmentation method, device, electronic equipment and medium
  • Electrocardiogram data augmentation method, device, electronic equipment and medium

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Embodiment Construction

[0052] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

[0053] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or a plurality of other features, numbers, steps, acts, parts, parts or combinations thereof exist or are added.

[0054] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings...

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Abstract

The embodiment of the present disclosure discloses an electrocardiogram data augmentation method, device, electronic equipment and medium. The electrocardiogram data augmentation method includes: obtaining electrocardiogram data; processing the electrocardiogram data to obtain a plurality of heart beat data; and generating augmented data based on at least two heart beat data in the plurality of heart beat data, so that the electrocardiogram data can be Data augmentation can increase the amount of data in the training set, which in turn can fully train the machine learning model and improve the performance of the model.

Description

technical field [0001] The present disclosure relates to the field of medical technology, and in particular to an electrocardiogram data augmentation method, device, electronic equipment and medium. Background technique [0002] Data augmentation is one of the commonly used techniques in deep learning. It is mainly used to increase the training data set and make the data set as diverse as possible, so that the trained model has stronger generalization ability. In practical applications, not all augmentation methods are applicable to the current training data, and it is necessary to determine which data augmentation methods should be used according to the characteristics of the dataset. At present, data augmentation mainly includes: horizontal / vertical flip, rotation, scaling, cropping, shearing, translation, contrast, color dithering, noise, etc. [0003] The electrocardiogram is to use the electrocardiograph to record the electrical activity change pattern produced by each...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/318A61B5/352A61B5/00G06K9/00G06N20/00
CPCA61B5/725A61B5/7267A61B5/7225A61B5/7203G06N20/00G06F2218/06
Inventor 王景峰黄凯陈样新张玉玲郭思璐宋日辉赵宝泽张恒非
Owner BIOISLAND LAB