Open AccessDevelopment of algorithm for analysis of sound fragments in medical information systems
Author(s) -
Г. В. Абрамов,
Lyudmila Korobova,
Irina Matytsina
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1479/1/012095
Subject(s) - sound (geography) , computer science , sound analysis , process (computing) , algorithm , speech recognition , medicine , data mining , pattern recognition (psychology) , artificial intelligence , acoustics , physics , operating system
The article is devoted to the recognition of sound signals, including cough jerks, using various mathematical methods. The paper presents an information system for the diagnosis of patients with pulmonary diseases. The main problem of this system is to determine the parameters of cough fragments in the monitoring record recorded with a dictaphone. Criteria of recognition of cough moments are given, the analysis of processing of sound record is carried out and results of research are systematized. This system can be used by doctors to diagnose the condition of patients, as well as to monitor the treatment process.