Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Disease detection method based on cough sound recognition and related equipment thereof

A detection method and sound recognition technology, applied in the field of target detection, can solve the problems of insufficient real-time detection, low definition of fingerprint trace detection, slow detection speed, etc. The effect of simple operation

Inactive Publication Date: 2021-03-12
TIANJI MEDICAL ROBOT TECH QINGYUAN CO LTD
View PDF9 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to provide a disease detection method based on cough sound recognition, a fingerprint detection device and a computer-readable storage medium, which solve the problems of low resolution of fingerprint trace detection, slow detection speed and insufficient to meet the needs of real-time detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Disease detection method based on cough sound recognition and related equipment thereof
  • Disease detection method based on cough sound recognition and related equipment thereof
  • Disease detection method based on cough sound recognition and related equipment thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042]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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] see Figure 1-2 Shown, the present invention provides a kind of disease detection method based on cough sound recognition, and this method comprises the following steps:

[0044] Step S1, acquiring the sound information to be tested in real time, and extracting the characteristic Mel-frequency cepstral coefficients of the sound information to be tested; wherein, the sound information to be tested is emitted by the detected object;

[0045] Step S2, acco...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a disease detection method based on cough sound recognition, which comprises the following steps of: acquiring sound information to be detected or training sound information, and extracting a characteristic Mel-frequency cepstrum coefficient of the sound information to be detected or extracting a training Mel-frequency cepstrum coefficient of the training sound information;drawing a characteristic Mel spectrogram by taking time and frequency as axes according to the characteristic Mel frequency cepstrum coefficient, or respectively drawing a plurality of training Mel spectrograms by taking time and frequency as axes according to the plurality of training Mel frequency cepstrum coefficients; and training the plurality of training Mel spectrograms through a preset convolutional neural network to obtain a feature convolutional neural network model. Compared with the prior art, the method has the advantages that the detection process of related diseases is simple, and the detection efficiency is high.

Description

【Technical field】 [0001] The invention relates to the field of target detection, in particular to a disease detection method based on cough sound recognition and related equipment. 【Background technique】 [0002] Because infectious diseases cause great harm to people and involve a wide range of people, the public pays more and more attention to the prevention and treatment of infectious diseases, especially for highly contagious infectious diseases. The rapid detection of infectious diseases can help individuals, hospital personnel and the country to take the most effective and fastest protective measures. Therefore, how to realize the rapid detection of infectious diseases has become an important research direction in the medical and health field, especially in the outbreak of Covid-19 in 2019. -In the COVID-19 epidemic, rapid detection technology for Covid-19 is particularly important. [0003] The detection methods for Covid-19 symptoms in the related art are mainly X-ra...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08G01H17/00G06K9/62G06N3/04G06N3/08G16H50/20
CPCA61B5/0823G16H50/20G06N3/08G01H17/00G06N3/045G06F18/241
Inventor 魏敢潘丹邓健蔡重芪
Owner TIANJI MEDICAL ROBOT TECH QINGYUAN CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products