Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone

In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were designed, or chosen, to deal with the stationary nois...

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Detalles Bibliográficos
Autores principales: Alvarado, Eduardo, Grágeda, Nicolás, Luzanto, Alejandro, Mahu, Rodrigo, Wuth, Jorge, Mendoza, Laura, Yoma, Néstor Becerra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007248/
https://www.ncbi.nlm.nih.gov/pubmed/36904646
http://dx.doi.org/10.3390/s23052441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007248/
https://www.ncbi.nlm.nih.gov/pubmed/36904646
http://dx.doi.org/10.3390/s23052441

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