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Spectral analysis of cough sounds of patients with COVID-19

https://doi.org/10.18093/0869-0189-2022-32-6-834-841

Abstract

Cough is a frequent manifestation  of COVID-19  (COronaVIrus Disease 2019), therefore,  it has an important  diagnostic value. There is little information  about the characteristics  of cough of COVID-19  patients in the literature.  To perform a spectral analysis of cough sounds in COVID-19 patients in comparison  with induced cough of healthy individuals. Methods. The main group consisted of 218 COVID-19  patients (48.56% – men, 51.44% – women, average age 40.2 (32.4; 50.1) years). The comparison group consisted of 60 healthy individuals (50.0% men, 50.0% women, average age 41.7 (31.2; 53.0) years) who were induced to cough. Each subject had a cough sound recorded,  followed by digital processing using a fast Fourier transform algorithm. The temporal-frequency parameters of cough sounds were evaluated: duration (ms), the ratio of the energy of low and medium frequencies (60 – 600 Hz) to the energy of high frequencies (600 – 6 000 Hz), the frequency of the maximum sound energy (Hz). These parameters  were determined  in relation  to both the entire cough and individual phases of the cough sound. Results. Significant differences were found between some cough parameters  in the main group and in the comparison  group. The total duration  of the coughing act was significantly shorter in patients with COVID-19, in contrast to the induced cough of healthy individuals (T = 342.5 (277.0; 394.0) – in the main group; T (c) = 400.5 (359.0; 457.0) – in the comparison  group; p = 0.0000). In addition,  it was found that the cough sounds of COVID-19  patients are dominated by the energy of higher frequencies as compared  to the healthy controls (Q = 0.3095 (0.223; 0.454) – in the main group; Q (c) = 0.4535 (0.3725; 0.619) – in the comparison  group; p = 0.0000). The maximum frequency of cough sound energy in the main group was significantly higher than in the comparison  group (Fmax = 463.0 (274.0; 761.0) – in the main group; Fmax = 347 (253.0; 488.0) – in the comparison  group; p = 0.0013). At the same time, there were no differences between the frequencies of the maximum energy of cough sound of the individual phases of cough act and the duration of the first phase. Conclusion. The cough of patients with COVID-19 is characterized  by a shorter duration and a predominance of high-frequency energy compared to the induced cough of healthy individuals.

About the Authors

A. V. Budnevsky
Voronezh State Medical University named after N.N. Burdenko, Ministry of Public Health of the Russian Federation
Russian Federation

Andrey V. Budnevsky - Doctor of Medicine, Professor, Head of the Department of Faculty Therapy, Voronezh State Medical University named after N.N. Burdenko, Ministry of Health  of the Russian Federation.

Studencheskaya ul. 10, Voronezh, 394622

tel.: (473) 263-81-30


Competing Interests:

The authors report that there is no conflict of interest



S. N. Avdeev
I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
Russian Federation

Sergey N. Avdeev - Doctor  of Medicine,  Professor, Academician  of Russian Academy of Sciences, Head of the Department of Pulmonology, N.V. Sklifosovsky Institute of Clinical Medicine,  I.M. Sechenov First Moscow State Medical University of the Ministry of Health  of the Russian Federation (Sechenov University).

Trubetskaya ul. 8, build. 2, Moscow, 119991

tel.: (495) 708-35-76

SPIN-code: 1645-5524


Competing Interests:

The authors report that there is no conflict of interest



E. S. Ovsyannikov
Voronezh State Medical University named after N.N. Burdenko, Ministry of Public Health of the Russian Federation
Russian Federation

Evgeniy S. Ovsyannikov - Doctor of Medicine, Professor, Department of Faculty Therapy,  Voronezh State Medical  University named  after N.N. Burdenko, Ministry of Health  of the Russian Federation.

Studencheskaya ul. 10, Voronezh, 394622

tel.: (473) 263-81-30


Competing Interests:

The authors report that there is no conflict of interest



S. N. Feygelman
Voronezh State Medical University named after N.N. Burdenko, Ministry of Public Health of the Russian Federation
Russian Federation

Sofia N. Feygelman - Ordinator, Department of Faculty Therapy,  Voronezh State Medical University named after N.N. Burdenko, Ministry of Health of the Russian Federation.

Studencheskaya ul. 10, Voronezh, 394622

tel.: (473) 263-81-30


Competing Interests:

The authors report that there is no conflict of interest



O. N. Choporov
Voronezh State Medical University named after N.N. Burdenko, Ministry of Public Health of the Russian Federation
Russian Federation

Oleg N. Choporov - Doctor of Engineering, Professor, Vice-Rector for Digital Transformation, Voronezh State Medical University named after N.N. Burdenko, Ministry of Health of the Russian Federation.

Studencheskaya ul. 10, Voronezh, 394622

tel.: (473) 210-49-71


Competing Interests:

The authors report that there is no conflict of interest



A. V. Maximov
Voronezh State University, Ministry of Education and Science of the Russian Federation
Russian Federation

Alexey V. Maximov - Senior Lecturer,  Department of Digital Technologies, Voronezh State University,  Ministry of Education and Science of the Russian Federation.

Universitetskaya pl. 1, Voronezh, 394018

tel.: (473) 220-83-84 


Competing Interests:

The authors report that there is no conflict of interest



A. V. Pertsev
Voronezh State Medical University named after N.N. Burdenko, Ministry of Public Health of the Russian Federation
Russian Federation

Alexander V. Pertsev - Candidate of Medicine, Assistant, Department of Faculty Therapy,  Voronezh State Medical  University named  after N.N. Burdenko, Ministry of Health  of the Russian Federation.

Studencheskaya ul. 10, Voronezh, 394622

tel.: (473) 263-81-30


Competing Interests:

The authors report that there is no conflict of interest



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Supplementary files

Review

For citations:


Budnevsky A.V., Avdeev S.N., Ovsyannikov E.S., Feygelman S.N., Choporov O.N., Maximov A.V., Pertsev A.V. Spectral analysis of cough sounds of patients with COVID-19. PULMONOLOGIYA. 2022;32(6):834-841. (In Russ.) https://doi.org/10.18093/0869-0189-2022-32-6-834-841

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ISSN 0869-0189 (Print)
ISSN 2541-9617 (Online)