Electrocardiogram image recognition method and device and service terminal

An image recognition device and service terminal technology, applied in the field of electrocardiogram image recognition methods, devices and service terminals, can solve the problems of inconvenient data accumulation and heavy workload, and achieve the effect of accumulating data and reducing workload

Inactive Publication Date: 2017-05-31
BEIJING ZHIGUANG BOYUAN SCI & TECH
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Problems solved by technology

[0003] With the rapid development of medical imaging technology, medical image analysis has entered the era of big data. The medical image mainly refers to the electrocardiogram. In the e

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  • Electrocardiogram image recognition method and device and service terminal
  • Electrocardiogram image recognition method and device and service terminal
  • Electrocardiogram image recognition method and device and service terminal

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[0055]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0056] It should be noted that like numerals and lett...

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Abstract

The invention relates to the technical field of electrocardiogram analysis, in particular to an electrocardiogram image recognition method and device and a service terminal. The electrocardiogram image recognition method is applied to the service terminal. The service terminal comprises an electrocardiogram deep learning model and at the same time, is used for inputting electrocardiogram images. The electrocardiogram image recognition method comprises the steps that the input electrocardiogram images are divided into a plurality of image segments, features of the plurality of image segments are extracted by the usage of the electrocardiogram deep learning model, according to the extracted features, the electrocardiogram deep learning model is used for recognizing every image segment in the plurality of image segments to obtain the input electrocardiogram image information, and therefore automatic recognition of the input electrocardiogram images is achieved, the data amount is accumulated, and at the same time, the workload of workers is reduced.

Description

technical field [0001] The present invention relates to the technical field of electrocardiogram analysis, in particular to an electrocardiogram image recognition method, device and service terminal. Background technique [0002] Deep learning is a new field in machine learning research, and its motivation is to establish and simulate the human brain for analytical learning. Deep learning is a data-driven model that can simulate the visual mechanism of the human brain to automatically learn abstract features at all levels of data. [0003] With the rapid development of medical imaging technology, medical image analysis has entered the era of big data. The medical image mainly refers to the electrocardiogram. In the existing technology, different types of electrocardiograms are mainly analyzed manually to diagnose diseases, and the workload is very large. , and it is not convenient to accumulate data. Therefore, the use of deep learning methods to analyze a large number of ...

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Application Information

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IPC IPC(8): G06K9/00G06F19/00
CPCG16H50/70G06V2201/03G06F2218/08G06F2218/12
Inventor 马兆远李蕊殷小雷
Owner BEIJING ZHIGUANG BOYUAN SCI & TECH
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