CNN-based diagnosis model of children's bladder compliance using a single intravesical pressure signal.
Comput Methods Biomech Biomed Engin
; : 1-12, 2024 Jan 09.
Article
en En
| MEDLINE
| ID: mdl-38193146
ABSTRACT
Bladder compliance assessment is crucial for diagnosing bladder functional disorders, with urodynamic study (UDS) being the principal evaluation method. However, the application of UDS is intricate and time-consuming in children. So it'S necessary to develop an efficient bladder compliance screen approach before UDS. In this study, We constructed a dataset based on UDS and designed a 1D-CNN model to optimize and train the network. Then applied the trained model to a dataset obtained solely through a proposed perfusion experiment. Our model outperformed other algorithms. The results demonstrate the potential of our model to alert abnormal bladder compliance accurately and efficiently.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
Idioma:
En
Revista:
Comput Methods Biomech Biomed Engin
Asunto de la revista:
ENGENHARIA BIOMEDICA
/
FISIOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
China