Computer device, heart sound recognition device, method, model training device and storage medium

A technology of computer equipment and recognition models, applied in stethoscopes, etc., can solve problems such as low recognition accuracy, inability to learn accurate and targeted local information by extracting feature values, difficulty in learning deep networks, etc., and achieve the effect of high accuracy

Active Publication Date: 2019-08-16
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
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Problems solved by technology

[0003] The existing heart sound recognition or classification methods are roughly divided into two categories, classification methods based on traditional machine learning and classification methods based on neural network learning; among them, the former is based on manually extracted feature value learning, which cannot truly and comp...

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  • Computer device, heart sound recognition device, method, model training device and storage medium
  • Computer device, heart sound recognition device, method, model training device and storage medium
  • Computer device, heart sound recognition device, method, model training device and storage medium

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Embodiment Construction

[0061]The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0062] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation. In addition, although the functional modules are divided in the schematic diagram of the device, in some cases, they m...

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Abstract

The present application relates to the field of intelligent decision making, which integrates the local features of each phase of a heart sound cycle and the global features of a heart sound signal toidentify the heart sound signal, and the recognition accuracy is higher. The invention discloses a computer device, a heart sound recognition device, a method, a model training device, and a storagemedium; the computer device includes a memory and a processor, and the processor is configured to execute a computer program stored in the memory and implement the computer program: the acquired heartsound signal is pre-processed; a first heart sound data, a systolic data, a second heart sound data, and a diastolic data are obtained from the pre-processed heart sound signal; the first heart sounddata, the systole data, the second heart sound data, and the diastolic data are processed according to processing rules to obtain local features; the global characteristics of the pre-processed heartsound signal are obtained according to a trained neural network model; based on the trained heart sound recognition model, the type of the heart sound signal is identified according to the local feature and the global feature.

Description

technical field [0001] The present application relates to the technical field of health detection, and in particular to a computer device, a heart sound recognition device, a method, a model training device and a storage medium. Background technique [0002] Heart sound is a kind of sound signal, which contains important information about the health status of the human body. By extracting this information and effectively identifying it, objective digital heart sound auscultation can be achieved, thereby providing reliable diagnostic results for patients; therefore, the phonocardiogram It has unique significance in the determination of cardiac function and the diagnosis of certain cardiovascular diseases. [0003] The existing heart sound recognition or classification methods are roughly divided into two categories, classification methods based on traditional machine learning and classification methods based on neural network learning; among them, the former is based on manua...

Claims

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Application Information

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IPC IPC(8): A61B7/04
CPCA61B7/04
Inventor 康延妮李响贾晓雨绳立淼
Owner PING AN TECH (SHENZHEN) CO LTD
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