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

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...

Full description

Bibliographic Details
Main Authors: Jie Jin, Youngbeen Chung, Wanseung Kim, Yonggi Heo, Jinyong Jeon, Jeongkyu Hoh, Junhong Park, Jungki Jo
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
acoustic signal
classification
flowrate prediction
lower urinary tract symptoms
long short-term memory
Online Access:https://www.mdpi.com/1424-8220/21/16/5328

Internet

https://www.mdpi.com/1424-8220/21/16/5328

Similar Items