Next Article in Journal
Entropy-Assisted Computing of Low-Dissipative Systems
Next Article in Special Issue
Multiscale Entropy Analysis on Human Operating Behavior
Previous Article in Journal
Evolution Characteristics of Complex Fund Network and Fund Strategy Identification
Previous Article in Special Issue
Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations
Article Menu

Export Article

Open AccessArticle
Entropy 2015, 17(12), 8089-8098; doi:10.3390/e17127863

Multiscale Entropy Analysis of Surface Electromyographic Signals from the Urethral Sphincter as a Prognostic Indicator for Surgical Candidates with Primary Bladder Neck Obstruction

1
Department of Electrical Engineering, National Dong Hwa University, Hualien 97401, Taiwan
2
Department of Urology, Buddhist Tzu Chi General Hospital and Buddhist Tzu Chi University, Hualien 956, Taiwan
3
Department of Neurology, Buddhist Tzu Chi General Hospital and Buddhist Tzu Chi University, Hualien 956, Taiwan
4
Department of Emergency Medicine, E-Da Hospital, I-Shou University School of Medicine for International Students, Kaohsiung 82445, Taiwan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Anne Humeau-Heurtier
Received: 30 August 2015 / Revised: 22 November 2015 / Accepted: 30 November 2015 / Published: 8 December 2015
(This article belongs to the Special Issue Multiscale Entropy and Its Applications in Medicine and Biology)
View Full-Text   |   Download PDF [429 KB, uploaded 8 December 2015]   |  

Abstract

To explore information hidden in the electromyographic (EMG) signals of the urethral sphincter that may be of prognostic significance for patients with primary bladder neck obstruction (PBNO), 41 patients with voiding difficulty were divided into four groups: 1) patients with primary bladder neck obstruction (PBNO) with successful (Group 1, n = 14) and 2) unsuccessful (Group 2, n = 8) surgical outcomes, 3) patients with detrusor overactivity (Group 3, n = 7), and 4) patients with detrusor-external sphincter dyssynergia (Group 4, n = 12). All patients underwent baseline urodynamic studies (preoperative for Group 1 and Group 2) for comparison. The results demonstrated that, despite no significant difference in urodynamic parameters between Group 1 and Group 2, the large-scale multiscale entropy (MSE) of preoperative EMG (i.e., MSELS(EMG)) of Group 1 was significantly higher than that of Group 2 without notable difference between Group 1 and Group 3 (i.e., patients with normal sphincter function). Moreover, the MSELS(EMG) and small-scale MSE of preoperative EMG (i.e., MSESS(EMG)) of Group 2 were notably higher than those of Group 4 (i.e., patients with abnormal sphincter function), while both MSELS(EMG) and MSESS(EMG) of Group 3 were notably higher than those of Group 2. In conclusion, using MSE analysis for assessing preoperative urethral sphincter EMG signals successfully distinguished between PBNO patients with subsequent successful surgery from those with surgical failure possibly due to subtle functional impairment of the urethral sphincter that cannot be detected by routine urodynamic studies. The results, therefore, highlight the potential clinical significance of this analytical tool in guiding urologists regarding their choice of medical versus surgical treatment for this patient population. View Full-Text
Keywords: urodynamics; external urethral sphincter (EUS); electromyography (EMG); multiscale entropy (MSE) urodynamics; external urethral sphincter (EUS); electromyography (EMG); multiscale entropy (MSE)
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wu, H.-T.; Jiang, Y.-H.; Liu, A.-B.; Liu, C.-W.; Ou, Y.-N.; Kuo, H.-C.; Sun, C.-K. Multiscale Entropy Analysis of Surface Electromyographic Signals from the Urethral Sphincter as a Prognostic Indicator for Surgical Candidates with Primary Bladder Neck Obstruction. Entropy 2015, 17, 8089-8098.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top