ECG signal detection method, device, computer equipment and storage medium

A detection method and computer program technology, applied in the computer field, can solve the problems of low diagnosis speed and low diagnosis efficiency, and achieve the effect of saving manpower and material cost.

Inactive Publication Date: 2018-12-04
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] The main purpose of this application is to provide a detection method, device, computer equipment and storage medium of an ECG signal to overcome the defects of low diagnosis speed and low diagnosis efficiency when manually diagnosing arrhythmia

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  • ECG signal detection method, device, computer equipment and storage medium
  • ECG signal detection method, device, computer equipment and storage medium
  • ECG signal detection method, device, computer equipment and storage medium

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Embodiment Construction

[0033] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0034] refer to figure 1 , a method for detecting an ECG signal is provided in the embodiment of the present application, comprising the following steps:

[0035] Step S1, inputting the first ECG signal of the known signal rhythm type into the convolutional neural network for training, training the corresponding training parameters, and using the convolutional neural network with the training parameters as the detection model of the ECG signal;

[0036] In this step S1, the ECG signal usually includes 14 signal rhythm types, including 12 abnormal rhythms, a sinus rhythm a...

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Abstract

The invention provides an ECG signal detection method, a detection device, computer equipment and a storage medium. The detection method comprises the following steps: inputting and training a first ECG signal of a known signal rhythm type in a convolutional neural network so as to obtain corresponding training parameters, and using the convolutional neural network from which the training parameters are obtained as an ECG signal detection model; and inputting and computing a second to-be-detected ECG signal in the ECG signal detection model, and outputting and obtaining a signal rhythm type ofthe second ECG signal. The ECG signal detection model, which undergoes training, can replace medical specialists to complete full automatic detection of signal rhythm types in the ECG signals of a patient, so that a great amount of human and material costs can be saved; and meanwhile, the accuracy of detecting the signal rhythm types in the ECG signals can reach, and even exceed, that of the specialists.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a detection method, device, computer equipment and storage medium of an ECG signal. Background technique [0002] Arrhythmia refers to various symptoms caused by abnormalities in the electrical conduction system of the heart, including irregular, fast, or slow heartbeats. It is an important group of diseases in cardiovascular diseases. It can occur alone or be associated with other cardiovascular diseases. The proportion of patients with arrhythmia ranks in the top two of various cardiovascular diseases all the year round, which seriously endangers the health of Chinese residents. Therefore, fast and accurate arrhythmia detection technology is extremely important. [0003] Due to the diversity of electrocardiogram signals (ECG signals, Electrocardiogram) and the existence of noise, there are large errors in machine detection. At present, the mainstream arrhythmi...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7267A61B5/318
Inventor 王健宗吴天博刘新卉刘莉红马进肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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