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Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression. IEEE Trans Neural Syst Rehabil Eng 2018 Aug;26(8):1636-1644

Date

07/14/2018

Pubmed ID

30004881

Pubmed Central ID

PMC6531051

DOI

10.1109/TNSRE.2018.2854675

Scopus ID

2-s2.0-85049801947 (requires institutional sign-in at Scopus site)   5 Citations

Abstract

Bladder overactivity and incontinence and dysfunction can be mitigated by electrical stimulation of the pudendal nerve applied at the onset of a bladder contraction. Thus, it is important to predict accurately both bladder pressure and the onset of bladder contractions. We propose a novel method for prediction of bladder pressure using a time-dependent spectrogram representation of external urethral sphincter electromyographic (EUS EMG) activity and a least absolute shrinkage and selection operator regression model. There was a statistically significant improvement in prediction of bladder pressure compared with methods based on the firing rate of EUS EMG activity. This approach enabled prediction of the onset of bladder contractions with 91% specificity and 96% sensitivity and may be suitable for closed-loop control of bladder continence.

Author List

Rutter EM, Langdale CL, Hokanson JA, Hamilton F, Tran H, Grill WM, Flores KB

Author

James A. Hokanson PhD Assistant Professor in the Biomedical Engineering department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Algorithms
Animals
Computer Simulation
Electromyography
Female
Models, Theoretical
Muscle Contraction
Pudendal Nerve
Rats
Rats, Wistar
Urethra
Urinary Bladder
Urinary Incontinence