Medical Scientific Bulletin of Central Chernozemye (Naučno-medicinskij vestnik Centralʹnogo Černozemʹâ)

1990-472X

Федеральное государственное бюджетное образовательное учреждение высшего образования "Воронежский государственный медицинский университет имени Н.Н. Бурденко" Министерства здравоохранения Российской Федерации

11009

10.18499/1990-472X-2025-26-3-50-58

The value of spectral analysis of cough sounds in the diagnosis of pneumonia

Budnevsky

Andrey Valerievich

Doctor of Medical Sciences, Professor, Head of the Department of Faculty Therapybudnev@list.ruOvsyannikov

Evgeniy Sergeevich

Doctor of Medical Sciences, Associate Professor, Professor of the Department of Faculty Therapyovses@yandex.ruКитоян

Avag Gnuniovich

Postgraduate student of the Faculty Therapy Departmentavkfam@inbox.ru

N.N. Burdenko Voronezh State Medical University of the Russian Ministry of Health

10112025

2635058

02102025

2025

Community-acquired pneumonia (CAP) is a global healthcare problem and one of the leading causes of death and hospitalization among respiratory diseases. Cough is the most common symptom of pneumonia. One of the objective indicators for assessing cough is its sound. Objective. To determine the significance of spectral analysis of cough sounds in patients with pneumonia. Materials and Methods. A systematic review of more than 80 publications was conducted to assess the potential of spectral analysis of cough sounds for the diagnosis of pneumonia and other respiratory diseases. The sources of information included peer-reviewed domestic and international publications indexed in the eLibrary and PubMed databases from 2000 to 2024.The inclusion criteria for the review were as follows: Publications containing information on methods of recording and spectral analysis of cough sounds in patients with confirmed pneumonia of various etiologies; Articles published in English or Russian; Studies involving at least 50 patients with confirmed pneumonia; Research focused on the application of artificial intelligence, machine learning algorithms, and neural networks in the analysis of cough sounds. Results and Conclusion. Spectral analysis of cough sounds using signal processing methods can serve as a supplementary rapid diagnostic tool and assist in the differential diagnosis of productive and dry cough. It also enables the identification of bronchial asthma (BA), chronic obstructive pulmonary disease (COPD), COVID-19, whooping cough, and pneumonia, and holds significant prognostic value.

pneumonia, cough, spectral analysis, cough sounds.

пневмония, кашель, спектральный анализ, звуки кашля

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