Estimating flow rate and total volume of simulated urine flow noninvasively from a monocular camera

Atsushi Isomura, Md Shoaib Bhuiyan, Haruki Kawanaka, Eiichi Watanabe, Koji Oguri

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

5 Citations (Scopus)

Abstract

Urodynamics measurement tools in practical use carry the risk of nosocomial infection and invasiveness. Our study proposes a new method for urinary flow estimation. We propose multiple cylindrical model to estimate the amount of liquid volume from images taken by a monocular camera. This model is based on the idea of calculating the total volume of cylinder extracted from each image. First, images of liquid simulating male urination are binarized to derive features for the model. Each volume of cylinder is calculated by the initial velocity and diameter of liquid in each image. We conducted experiments to evaluate the model by comparing our estimated volume and flow rate to the data acquired from uroflowmeter in practical use. As a result, estimation was within the accuracy of ±10% which is enough accuracy of actual uroflowmeter being used in Japanese hospitals for practical use.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages751-754
Number of pages4
ISBN (Electronic)9781424492718
DOIs
Publication statusPublished - 04-11-2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: 25-08-201529-08-2015

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/TerritoryItaly
CityMilan
Period25-08-1529-08-15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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