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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| 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 |