Prediction of gastrointestinal functional state based on myoelectric recordings utilizing a deep neural network architecture

Functional and motility-related gastrointestinal (GI) disorders affect nearly 40% percent of the population. Disturbances of GI myoelectric activity have been proposed to play a significant role in these disorders. A significant barrier to usage of these signals in diagnosis and treatment is the lac...

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Detalles Bibliográficos
Autores principales: Elkhadrawi, Mahmoud, Akcakaya, Murat, Fulton, Stephanie, Yates, Bill J., Fisher, Lee E., Horn, Charles C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374095/
https://www.ncbi.nlm.nih.gov/pubmed/37498882
http://dx.doi.org/10.1371/journal.pone.0289076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374095/
https://www.ncbi.nlm.nih.gov/pubmed/37498882
http://dx.doi.org/10.1371/journal.pone.0289076

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