FORMATION OF A DATABASE OF LUNG DISEASE SOUND SIGNALS

This work is focused on the formation of a database of lung disease sound signals. The main stages and tasks of collecting, recording, processing, and classifying sound signals are presented. Methods of processing and analyzing sound signals based on neural networks provide the capabilities to obtain acceptable databases for automating disease diagnostics, making them more reliable compared to human knowledge.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-02
DOI
https://doi.org/10.5281/zenodo.13880716
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

FORMATION OF A DATABASE OF LUNG DISEASE SOUND SIGNALS

Zenodo (CERN European Organization for Nuclear Research)
Phonocardiography and Auscultation Techniques
article

FORMATION OF A DATABASE OF LUNG DISEASE SOUND SIGNALS

article en

Abstract

This work is focused on the formation of a database of lung disease sound signals. The main stages and tasks of collecting, recording, processing, and classifying sound signals are presented. Methods of processing and analyzing sound signals based on neural networks provide the capabilities to obtain acceptable databases for automating disease diagnostics, making them more reliable compared to human knowledge.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 44%
Phonocardiography and Auscultation Techniques
DOIOpen Access PDFOpenAlex
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FORMATION OF A DATABASE OF LUNG DISEASE SOUND SIGNALS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS