Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians

We hypothesized that an automated speech- recognition-inspired classification algorithm could differentiate between the heart sounds in subjects with and without pulmonary hypertension (PH) and outperform physicians. Heart sounds, electrocardiograms, and mean pulmonary artery pressures (mPAp) were r...

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Detalles Bibliográficos
Autores principales: Kaddoura, Tarek, Vadlamudi, Karunakar, Kumar, Shine, Bobhate, Prashant, Guo, Long, Jain, Shreepal, Elgendi, Mohamed, Coe, James Y, Kim, Daniel, Taylor, Dylan, Tymchak, Wayne, Schuurmans, Dale, Zemp, Roger J., Adatia, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016849/
https://www.ncbi.nlm.nih.gov/pubmed/27609672
http://dx.doi.org/10.1038/srep33182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016849/
https://www.ncbi.nlm.nih.gov/pubmed/27609672
http://dx.doi.org/10.1038/srep33182

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