Supervised Learning Classifiers for Electrical Impedance-based Bladder State Detection

Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary incontinence by alerting the user before voiding occurs. To this end, the objective...

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Detalles Bibliográficos
Autores principales: Dunne, Eoghan, Santorelli, Adam, McGinley, Brian, Leader, Geraldine, O’Halloran, Martin, Porter, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876381/
https://www.ncbi.nlm.nih.gov/pubmed/29599451
http://dx.doi.org/10.1038/s41598-018-23786-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876381/
https://www.ncbi.nlm.nih.gov/pubmed/29599451
http://dx.doi.org/10.1038/s41598-018-23786-5

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