Adaptive closed-loop bladder neuromodulation

Wendy Y.X. Peh, Marlena N. Raczkowska, Yuni Teh, Monzurul Alam, Nitish V Thakor, Shih Cheng Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Urinary retention affects millions of people, and is characterized by a weak flow of urine or high post-void residual urine volume in the bladder. In severe neurogenic bladder conditions, such as that resulting from spinal cord injury, sensation from the bladder and voluntary control of micturition are lost. Micturition can be driven by using the sacral anterior root stimulator (SARS). However, commercially available SARS devices are not equipped with a closed-loop regulator for adaptive and automated control of bladder contractions. In this study, we developed a closed-loop control strategy for bladder emptying in a rat model, achieving 86% void efficiency. Our results provide a basis for developing an implantable closed-loop neural prosthesis for treating underactive bladder in the future.

Original languageEnglish (US)
Title of host publication2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781509058037
DOIs
StatePublished - Mar 23 2018
Event2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Torino, Italy
Duration: Oct 19 2017Oct 21 2017

Other

Other2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017
CountryItaly
CityTorino
Period10/19/1710/21/17

Keywords

  • adaptive stimulation
  • bladder
  • closed-loop neuromodulation
  • pelvic nerve

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Instrumentation

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  • Cite this

    Peh, W. Y. X., Raczkowska, M. N., Teh, Y., Alam, M., Thakor, N. V., & Yen, S. C. (2018). Adaptive closed-loop bladder neuromodulation. In 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings (Vol. 2018-January, pp. 1-4). [8325202] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIOCAS.2017.8325202