Newborn congenital heart disease intelligent screening algorithm and automatic upgrading system based on big data

An automatic upgrade, congenital heart disease technology, applied in the fields of medical science, stethoscope, diagnosis, etc., can solve the problem of not forming the theory or principle of selection, and achieve the effect of improving the accuracy of screening, realizing integration, and promoting promotion and application.

Pending Publication Date: 2022-08-02
CHILDRENS HOSPITAL OF FUDAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

At present, wavelet denoising research on heart sound signals is carried out around these three aspects, but there is no general selection theory or principle, and each scholar chooses according to their own research purposes.

Method used

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  • Newborn congenital heart disease intelligent screening algorithm and automatic upgrading system based on big data
  • Newborn congenital heart disease intelligent screening algorithm and automatic upgrading system based on big data
  • Newborn congenital heart disease intelligent screening algorithm and automatic upgrading system based on big data

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Effect test

Embodiment 1

[0036] see Figure 1-Figure 3 The present invention provides a big data-based intelligent screening algorithm for neonatal congenital heart disease and an automatic upgrade system, wherein the technical scheme is as follows: including a heart sound data module, a heart sound data processing module, a blood oxygen data module, a blood oxygen data processing module, and a network upgrade module , database, intelligent analysis module and congenital heart disease screening result evaluation module;

[0037] The heart sound data module is used to collect various data of neonatal heart sounds for centralized processing;

[0038] The heart sound data processing module is used to process the data in the heart sound data module, and extract the characteristic parameters of the heart sound;

[0039] The blood oxygen data module is used to collect various data of the neonatal blood oxygen in two parts for centralized processing;

[0040] The blood oxygen data processing module is used t...

Embodiment 2

[0054] see figure 1 The present invention provides a big data-based intelligent screening algorithm for neonatal congenital heart disease and an automatic upgrade system, wherein the technical scheme is as follows: including a heart sound data module, a heart sound data processing module, a blood oxygen data module, a blood oxygen data processing module, and a network upgrade module , database, intelligent analysis module and congenital heart disease screening result evaluation module;

[0055] The heart sound data module is used to collect various data of neonatal heart sounds for centralized processing;

[0056] The heart sound data processing module is used to process the data in the heart sound data module, and extract the characteristic parameters of the heart sound;

[0057] The blood oxygen data module is used to collect various data of the neonatal blood oxygen in two parts for centralized processing;

[0058] The blood oxygen data processing module is used to proces...

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Abstract

The invention discloses a newborn congenital heart disease intelligent screening algorithm and automatic upgrading system based on big data. According to the technical scheme, the newborn congenital heart disease intelligent screening algorithm comprises a heart sound data module, a heart sound data processing module, a blood oxygen data module, a blood oxygen data processing module, a network upgrading module, a database, an intelligent analysis module and a congenital heart disease screening result evaluation module. The heart sound data module is used for collecting various data of the heart sound of the newborn and performing centralized processing; the heart sound data processing module is used for processing data in the heart sound data module, the intelligent screening instrument is more intelligent and accurate through an artificial neural network algorithm, a support vector machine algorithm, an HMM algorithm and a k-nearest neighbor algorithm, meanwhile, continuous learning and continuous updating iteration can be conducted through a machine according to the continuously accumulated data, and the accuracy of the intelligent screening instrument is improved. And a foundation is laid for realizing integration, automation, intelligence and homogenization of neonatal congenital heart disease'double-index method 'screening with high accuracy.

Description

technical field [0001] The invention relates to the technical field of congenital heart disease screening, in particular to an intelligent screening algorithm and an automatic upgrade system for neonatal congenital heart disease based on big data. Background technique [0002] Congenital heart disease is the most common type of congenital malformations, accounting for about 28% of all congenital malformations. The channel that should be automatically closed later fails to close (normal in the fetus). The incidence of congenital heart disease should not be underestimated, accounting for 0.4% to 1% of living babies; [0003] At present, newborn congenital heart disease screening has always been carried out manually. With the development of artificial intelligence technology, the digital upgrading of traditional medical devices has continuously promoted the development of clinical medicine. During the development of the prototype of the screening instrument, the synchronizati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/02A61B5/145A61B7/04
CPCA61B5/7264A61B5/7267A61B5/726A61B5/7203A61B5/725A61B5/7235A61B5/02A61B5/14542A61B7/04A61B2503/045A61B2505/03A61B2562/0204A61B5/14552A61B5/7282A61B5/0022G16H50/20G16H50/70G16H50/30G16H40/40A61B5/02028A61B5/14551A61B5/0205A61B5/145A61B7/00
Inventor 黄国英张成强王春宇胡晓静
Owner CHILDRENS HOSPITAL OF FUDAN UNIV
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