Image measurement for velocity and flow volume of simulated urination based on multiple cylindrical model

Atsushi Isomura; Haruki Kawanaka; Eiichi Watanabe; Koji Oguri

doi:10.11239/jsmbe.52.O-420

Image measurement for velocity and flow volume of simulated urination based on multiple cylindrical model

Atsushi Isomura, Haruki Kawanaka, Eiichi Watanabe, Koji Oguri

Research output: Contribution to journal › Article › peer-review

Abstract

This study proposes a new method of urine flow measurement by image processing. There are problems of existing uroflowmeters such as the high price and the possibility of nosocomial infection when using cups. This study aims to estimate the flow rate and volume of urine simulated liquid discharged in air by using only one camera. Continuous pictures of liquid were imaged for extracting parameters including initial velocity of liquid. We estimated the volume of liquid based on multiple cylindrical model. From the experiment, the average estimation accuracy was within the range of 3%. This result showed the possibility of applying this method for urine volume estimation. Furthermore, this method includes the output of urinary flow rate curve. This study proposed a new method of simple urine flow management.

Original language	English
Pages (from-to)	O-420-O-421
Journal	Transactions of Japanese Society for Medical and Biological Engineering
Volume	52
DOIs	https://doi.org/10.11239/jsmbe.52.O-420
Publication status	Published - 17-08-2014
Externally published	Yes

All Science Journal Classification (ASJC) codes

Biomedical Engineering

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10.11239/jsmbe.52.O-420

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title = "Image measurement for velocity and flow volume of simulated urination based on multiple cylindrical model",

abstract = "This study proposes a new method of urine flow measurement by image processing. There are problems of existing uroflowmeters such as the high price and the possibility of nosocomial infection when using cups. This study aims to estimate the flow rate and volume of urine simulated liquid discharged in air by using only one camera. Continuous pictures of liquid were imaged for extracting parameters including initial velocity of liquid. We estimated the volume of liquid based on multiple cylindrical model. From the experiment, the average estimation accuracy was within the range of 3%. This result showed the possibility of applying this method for urine volume estimation. Furthermore, this method includes the output of urinary flow rate curve. This study proposed a new method of simple urine flow management.",

author = "Atsushi Isomura and Haruki Kawanaka and Eiichi Watanabe and Koji Oguri",

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doi = "10.11239/jsmbe.52.O-420",

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AU - Isomura, Atsushi

AU - Kawanaka, Haruki

AU - Watanabe, Eiichi

AU - Oguri, Koji

PY - 2014/8/17

Y1 - 2014/8/17

N2 - This study proposes a new method of urine flow measurement by image processing. There are problems of existing uroflowmeters such as the high price and the possibility of nosocomial infection when using cups. This study aims to estimate the flow rate and volume of urine simulated liquid discharged in air by using only one camera. Continuous pictures of liquid were imaged for extracting parameters including initial velocity of liquid. We estimated the volume of liquid based on multiple cylindrical model. From the experiment, the average estimation accuracy was within the range of 3%. This result showed the possibility of applying this method for urine volume estimation. Furthermore, this method includes the output of urinary flow rate curve. This study proposed a new method of simple urine flow management.

AB - This study proposes a new method of urine flow measurement by image processing. There are problems of existing uroflowmeters such as the high price and the possibility of nosocomial infection when using cups. This study aims to estimate the flow rate and volume of urine simulated liquid discharged in air by using only one camera. Continuous pictures of liquid were imaged for extracting parameters including initial velocity of liquid. We estimated the volume of liquid based on multiple cylindrical model. From the experiment, the average estimation accuracy was within the range of 3%. This result showed the possibility of applying this method for urine volume estimation. Furthermore, this method includes the output of urinary flow rate curve. This study proposed a new method of simple urine flow management.

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Image measurement for velocity and flow volume of simulated urination based on multiple cylindrical model

Abstract

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