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Diagnose low-cost diseases by mapping the heart sounds

 Last Update: 2022-09-08
 Source: Internet
 Author: User

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In the Journal of Applied Physics, published by AIP, researchers from the University of Kerala in India and Nova Gorica University in Slovenia developed a method to identify valve dysfunction through complex network analysis that is accurate, simple to use and inexpensive

"Many rural health centres do not have the necessary technology to analyze this type of disease," said Ms.

This diagnostic tool works based on the sounds

Swapna and her team used heart sound data collected over 10 minutes to create a graph, or a complex network

In a healthy heart, this graph shows two different sets of points, many of which are unconnected

"In the case of aortic stenosis, there is no separation

The researchers used machine learning to examine charts and identify those with and without disease, achieving 100 percent classification accuracy

So far, this approach has only been tested on data and not in a

"The method can be extended to any type of heart signal, lung signal or cough signal

Journal Reference:

Vijayan Vijesh, Mohanachandran Nair Sindhu Swapna, Krishan Nair Satheesh Kumar, Sankaranarayana Iyer Sankararaman.

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