Restoring the sense of bladder fullness for spinal cord injury patients

Daniel D. Fong, Xiaofan Yu, Jiageng Mao, Mahya Saffarpour, Prashant Gupta, Rami Abueshsheikh, Alejandro Velazquez Alcantar, Eric A Kurzrock, Soheil Ghiasi

Research output: Contribution to journalArticle

Abstract

Spinal cord injuries (SCI) have vast effects on day-to-day life, including the loss of sensation and control of the bladder. Since elevated bladder pressures from urine production and storage can be detrimental to renal functionality, urologists recommend performing clean-intermittent catheterization (CIC) every two to four hours throughout the day. However, limitations in mobility make the high frequency of these trips to the bathroom prohibitive. Sometimes a patient׳s bladder fills to capacity before performing CIC and eventually leaks urine, causing unnecessary embarrassment. As such, continence is the primary concern of most SCI patients. The issue in performing CIC is that it is a time-based approach, whereas urine production does not occur at a constant rate. A demand-based ’bladder almost-full’ warning system would provide more useful notifications and help SCI patients plan their bathroom trips accordingly. In this work, we explore using near-infrared light to create a discrete, wearable, non-invasive bladder state estimation system using machine learning to determine urine volume in the bladder to provide continuous monitoring for a patient throughout the day. We do this through proof-of-concept evaluation studies using Monte Carlo simulations and describe our bladder state estimation system. We also highlight some preliminary results using the system and distinguish differences in light intensity between a full and empty bladder on a volunteer.

Original languageEnglish (US)
Pages (from-to)12-22
Number of pages11
JournalSmart Health
Volume9-10
DOIs
StatePublished - Dec 1 2018

Fingerprint

Spinal Cord Injuries
Urinary Bladder
State estimation
Intermittent Urethral Catheterization
Toilet Facilities
Alarm systems
Urine
Learning systems
Infrared radiation
Monitoring
Mobility Limitation
Light
Physiologic Monitoring
Volunteers
Kidney
Pressure

Keywords

  • Bladder volume
  • Body sensor networks and wearable sensor systems
  • Design of wearable devices
  • Digital health
  • Neurogenic bladder dysfunction
  • Personalized Medicine
  • Spinal cord injuries
  • Urology

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Informatics
  • Computer Science Applications
  • Information Systems
  • Health Information Management

Cite this

Fong, D. D., Yu, X., Mao, J., Saffarpour, M., Gupta, P., Abueshsheikh, R., ... Ghiasi, S. (2018). Restoring the sense of bladder fullness for spinal cord injury patients. Smart Health, 9-10, 12-22. https://doi.org/10.1016/j.smhl.2018.07.014

Restoring the sense of bladder fullness for spinal cord injury patients. / Fong, Daniel D.; Yu, Xiaofan; Mao, Jiageng; Saffarpour, Mahya; Gupta, Prashant; Abueshsheikh, Rami; Velazquez Alcantar, Alejandro; Kurzrock, Eric A; Ghiasi, Soheil.

In: Smart Health, Vol. 9-10, 01.12.2018, p. 12-22.

Research output: Contribution to journalArticle

Fong, DD, Yu, X, Mao, J, Saffarpour, M, Gupta, P, Abueshsheikh, R, Velazquez Alcantar, A, Kurzrock, EA & Ghiasi, S 2018, 'Restoring the sense of bladder fullness for spinal cord injury patients', Smart Health, vol. 9-10, pp. 12-22. https://doi.org/10.1016/j.smhl.2018.07.014
Fong DD, Yu X, Mao J, Saffarpour M, Gupta P, Abueshsheikh R et al. Restoring the sense of bladder fullness for spinal cord injury patients. Smart Health. 2018 Dec 1;9-10:12-22. https://doi.org/10.1016/j.smhl.2018.07.014
Fong, Daniel D. ; Yu, Xiaofan ; Mao, Jiageng ; Saffarpour, Mahya ; Gupta, Prashant ; Abueshsheikh, Rami ; Velazquez Alcantar, Alejandro ; Kurzrock, Eric A ; Ghiasi, Soheil. / Restoring the sense of bladder fullness for spinal cord injury patients. In: Smart Health. 2018 ; Vol. 9-10. pp. 12-22.
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