Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization
The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary disease. From a physician’s point of view, monophon...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/7258 |
| Acceso en línea: | https://doi.org/10.3390/s21051661 https://www.mdpi.com/1424-8220/21/5/1661 https://hdl.handle.net/10953/7258 |
| Access Level: | acceso abierto |
| Palabra clave: | monophonic polyphonic wheezing non-negative matrix factorization spectral pattern spectrogram constraint low-rank asthma chronic obstructive pulmonary disease 004.855 534 616 |
| id |
ES_eb521e735ea2db5009bf6d433563cea3 |
|---|---|
| oai_identifier_str |
oai:ruja.ujaen.es:10953/7258 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix FactorizationDe La Torre Cruz, JuanCañadas Quesada, Francisco JesúsRuiz Reyes, NicolásGarcía Galán, SebastiánCarabias Orti, Julio JoséPérez Chica, Gerardomonophonicpolyphonicwheezingnon-negative matrix factorizationspectral patternspectrogramconstraintlow-rankasthmachronic obstructive pulmonary disease004.855534616The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary disease. From a physician’s point of view, monophonic and polyphonic wheezing classification is still a challenging topic in biomedical signal processing since both types of wheezes are sinusoidal in nature. Unlike most of the classification algorithms in which interference caused by normal respiratory sounds is not addressed in depth, our first contribution proposes a novel Constrained Low-Rank Non-negative Matrix Factorization (CL-RNMF) approach, never applied to classification of wheezing as far as the authors’ knowledge, which incorporates several constraints (sparseness and smoothness) and a low-rank configuration to extract the wheezing spectral content, minimizing the acoustic interference from normal respiratory sounds. The second contribution automatically analyzes the harmonic structure of the energy distribution associated with the estimated wheezing spectrogram to classify the type of wheezing. Experimental results report that: (i) the proposed method outperforms the most recent and relevant state-of-the-art wheezing classification method by approximately 8% in accuracy; (ii) unlike state-of-the-art methods based on classifiers, the proposed method uses an unsupervised approach that does not require any training.This work was supported by the Programa Operativo FEDER Andalucia 2014–2020 under the project with Reference 1257914 and the Ministry of Economy, Knowledge and University, Junta de Andalucia under Project P18-RT-1994.MDPIMDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND202620262021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/s21051661https://www.mdpi.com/1424-8220/21/5/1661https://hdl.handle.net/10953/7258reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésSENSORSAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/72582026-06-24T12:41:07Z |
| dc.title.none.fl_str_mv |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| title |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| spellingShingle |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization De La Torre Cruz, Juan monophonic polyphonic wheezing non-negative matrix factorization spectral pattern spectrogram constraint low-rank asthma chronic obstructive pulmonary disease 004.855 534 616 |
| title_short |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| title_full |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| title_fullStr |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| title_full_unstemmed |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| title_sort |
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization |
| dc.creator.none.fl_str_mv |
De La Torre Cruz, Juan Cañadas Quesada, Francisco Jesús Ruiz Reyes, Nicolás García Galán, Sebastián Carabias Orti, Julio José Pérez Chica, Gerardo |
| author |
De La Torre Cruz, Juan |
| author_facet |
De La Torre Cruz, Juan Cañadas Quesada, Francisco Jesús Ruiz Reyes, Nicolás García Galán, Sebastián Carabias Orti, Julio José Pérez Chica, Gerardo |
| author_role |
author |
| author2 |
Cañadas Quesada, Francisco Jesús Ruiz Reyes, Nicolás García Galán, Sebastián Carabias Orti, Julio José Pérez Chica, Gerardo |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
monophonic polyphonic wheezing non-negative matrix factorization spectral pattern spectrogram constraint low-rank asthma chronic obstructive pulmonary disease 004.855 534 616 |
| topic |
monophonic polyphonic wheezing non-negative matrix factorization spectral pattern spectrogram constraint low-rank asthma chronic obstructive pulmonary disease 004.855 534 616 |
| description |
The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary disease. From a physician’s point of view, monophonic and polyphonic wheezing classification is still a challenging topic in biomedical signal processing since both types of wheezes are sinusoidal in nature. Unlike most of the classification algorithms in which interference caused by normal respiratory sounds is not addressed in depth, our first contribution proposes a novel Constrained Low-Rank Non-negative Matrix Factorization (CL-RNMF) approach, never applied to classification of wheezing as far as the authors’ knowledge, which incorporates several constraints (sparseness and smoothness) and a low-rank configuration to extract the wheezing spectral content, minimizing the acoustic interference from normal respiratory sounds. The second contribution automatically analyzes the harmonic structure of the energy distribution associated with the estimated wheezing spectrogram to classify the type of wheezing. Experimental results report that: (i) the proposed method outperforms the most recent and relevant state-of-the-art wheezing classification method by approximately 8% in accuracy; (ii) unlike state-of-the-art methods based on classifiers, the proposed method uses an unsupervised approach that does not require any training. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://doi.org/10.3390/s21051661 https://www.mdpi.com/1424-8220/21/5/1661 https://hdl.handle.net/10953/7258 |
| url |
https://doi.org/10.3390/s21051661 https://www.mdpi.com/1424-8220/21/5/1661 https://hdl.handle.net/10953/7258 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
SENSORS |
| dc.rights.none.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
MDPIMDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND |
| publisher.none.fl_str_mv |
MDPIMDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND |
| dc.source.none.fl_str_mv |
reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén instname:Universidad de Jaén |
| instname_str |
Universidad de Jaén |
| reponame_str |
RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| collection |
RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869423217337171968 |
| score |
15,81155 |