Cargando…
Wheezing Sound Separation Based on Informed Inter-Segment Non-Negative Matrix Partial Co-Factorization
Wheezing reveals important cues that can be useful in alerting about respiratory disorders, such as Chronic Obstructive Pulmonary Disease. Early detection of wheezing through auscultation will allow the physician to be aware of the existence of the respiratory disorder in its early stage, thus minim...
Autores principales: | De La Torre Cruz, Juan, Cañadas Quesada, Francisco Jesús, Ruiz Reyes, Nicolás, Vera Candeas, Pedro, Carabias Orti, Julio José |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249056/ https://www.ncbi.nlm.nih.gov/pubmed/32397155 http://dx.doi.org/10.3390/s20092679 |
Ejemplares similares
-
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization
por: De La Torre Cruz, Juan, et al.
Publicado: (2021) -
Evaluation of features for classification of wheezes and normal respiratory sounds
por: Pramono, Renard Xaviero Adhi, et al.
Publicado: (2019) -
Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children
por: Habukawa, Chizu, et al.
Publicado: (2020) -
Distance-Based Detection of Cough, Wheeze, and Breath Sounds on Wearable Devices
por: Xue, Bing, et al.
Publicado: (2022) -
Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
por: Li, Shih-Hong, et al.
Publicado: (2017)