Fernandez, Sara; Ramos, Karen; Ramirez, David; Villamarin, Julián; Spatti, Danilo Hernane 
Source: Proceedings. Conference titles: International Congress of Biomedical Engineering and Bioengineering - CIIBBI. Unidade: ICMC
Subjects: TRANSTORNOS RESPIRATÓRIOS, PROCESSAMENTO DE SINAIS, VOZ
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FERNANDEZ, Sara et al. Implementation of a computational intelligence system to identify respiratory distress from digital signal processing of voice. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/CIIBBI63846.2024.10784704. Acesso em: 03 jan. 2026.APA
Fernandez, S., Ramos, K., Ramirez, D., Villamarin, J., & Spatti, D. H. (2024). Implementation of a computational intelligence system to identify respiratory distress from digital signal processing of voice. In Proceedings. Piscataway: IEEE. doi:10.1109/CIIBBI63846.2024.10784704NLM
Fernandez S, Ramos K, Ramirez D, Villamarin J, Spatti DH. Implementation of a computational intelligence system to identify respiratory distress from digital signal processing of voice [Internet]. Proceedings. 2024 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/CIIBBI63846.2024.10784704Vancouver
Fernandez S, Ramos K, Ramirez D, Villamarin J, Spatti DH. Implementation of a computational intelligence system to identify respiratory distress from digital signal processing of voice [Internet]. Proceedings. 2024 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/CIIBBI63846.2024.10784704
