Classification of Bladder Emptying Patterns by LSTM Neural Network Trained Using Acoustic Signatures

(1) Background: Non-invasive uroflowmetry is used in clinical practice for diagnosing lower urinary tract symptoms (LUTS) and the health status of a patient. To establish a smart system for measuring the flowrate during urination without any temporospatial constraints for patients with a urinary dis...

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Detalles Bibliográficos
Autores principales: Jin, Jie, Chung, Youngbeen, Kim, Wanseung, Heo, Yonggi, Jeon, Jinyong, Hoh, Jeongkyu, Park, Junhong, Jo, Jungki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400043/
https://www.ncbi.nlm.nih.gov/pubmed/34450769
http://dx.doi.org/10.3390/s21165328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400043/
https://www.ncbi.nlm.nih.gov/pubmed/34450769
http://dx.doi.org/10.3390/s21165328

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