Title
Real-Time Classification of Bladder Events for Effective Diagnosis and Treatment of Urinary Incontinence.
Abstract
Diagnosis of lower urinary tract dysfunction with urodynamics has historically relied on data acquired from multiple sensors using nonphysiologically fast cystometric filling. In addition, state-of-the-art neuromodulation approaches to restore bladder function could benefit from a bladder sensor for closed-loop control, but a practical sensor and automated data analysis are not available. We have ...
Year
DOI
Venue
2016
10.1109/TBME.2015.2469604
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Bladder,Sensors,Approximation methods,Approximation algorithms,Sensitivity,Hardware,Real-time systems
Biomedical engineering,Overactive bladder,Urinary incontinence,Remote patient monitoring,Computer science,Implant device,Artificial intelligence,Thresholding,Urinary bladder,Urinary system,Real time classification,Computer vision,Pattern recognition
Journal
Volume
Issue
ISSN
63
4
0018-9294
Citations 
PageRank 
References 
1
0.45
4
Authors
7
Name
Order
Citations
PageRank
Robert Karam16612.19
Dennis Bourbeau232.33
Steve J. A. Majerus3376.06
iryna makovey420.90
Howard B. Goldman510.45
Margot S. Damaser6195.39
Swarup Bhunia71952168.49