Flow Estimation Algorithm from Simulated Urination by Image Processing

Isomura, Atsushi; Kawanaka, Haruki; Watanabe, Eiichi; Oguri, Kazuta

doi:10.1541/ieejeiss.136.1194

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…In another study, Hitt et al [4] investigated the potential of obtaining urinary ow measurements from acoustic signatures of the urine stream produced by impact on a liquid-free surface. Isomura et al [5] developed a voided volume estimation system for males that installs a camera on a urinal. Since these methods record sounds and images during excretion in the toilet, i.e., in a private space, whether people will accept these measurement devices in household toilets remains questionable.…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Study on a Voided Volume Measuring Method Using Noncontact Temperature Sensors under the Toilet Seat

Fujita

Kanayama

Kim

et al. 2019

ABE

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Some systems to measure voided volume and ow rate have been developed. Clinically, urination parameters are measured using uro owmeters that have special receivers such as cups or bowls. Since these uro owmeters were developed for clinical use, home use is dif cult and inconvenient. Many of these devices require equipment cleaning; additionally, most are too expensive for home use. To address these problems, we developed a method to measure voided volume by noncontact matrix temperature sensors that are installed under a toilet seat. The basic concept is as follows. Urine is excreted at core temperature of 37 C. The heat radiated from urine during excretion is measured by noncontact matrix temperature sensors, and the measured radiated heat is converted to urination volume. A preliminary study was conducted to estimate the voided volume using an actual toilet bowl. The noncontact matrix temperature sensors simultaneously measure the temperature of falling water at 37 C in 16 areas using a matrix of four lines and four rows. Four noncontact matrix temperature sensors were installed at the front, rear, left and right of the underside of a toilet seat. The toilet seat equipped with the four sensors was installed on a toilet bowl. The position of the falling water was xed at 120 mm from the front sensor. Water volumes of 100, 200 and 300 ml were passed vertically at ow rates of 10, 20, 30 and 40 ml/s. As a result, the surface of the toilet bowl was slightly heated from the heat of the falling water, and the toilet bowl retained the heat after the water had fallen. To eliminate overestimation of heat from the toilet bowl, we proposed two analytical methods: a bias temperature elimination method and a time limitation method. For all four ow rates, the variation of U with a proportional volume obtained by the time limitation method was smaller than that by the bias temperature elimination method.

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Section: Introductionmentioning

confidence: 99%

A Preliminary Study on a Voided Volume Measuring Method Using Noncontact Temperature Sensors under the Toilet Seat

Fujita

Kanayama

Kim

et al. 2019

ABE

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カラー水平切断光を用いたビジュアルウロフロメトリーの研究

ABURATANI,

HAMATO,

AJIKI

et al. 2024

TVSJ

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This paper presents a visual uroflowmetry to evaluate morphological information on male urination using a color video camera and color laser-light sheets. The most notable feature of this method is its ability to obtain the measurements on urinary morphology, such as total sectional area, spatial dispersion, and number of splits in the urinary streamline, in addition to the information on voiding time, voiding volume, and flow rate obtained by conventional uroflowmetry. Since lower urinary tract symptoms (LUTS) are related to morphology of urination according to the cause of disease, it is expected that the evaluation of morphological information on urination enables urologists to better understand the symptom of their patients. For the present method, the authors experimentally evaluate the measurement accuracy of urine flow rate for three different models of urination, for example benign prostatic hyperplasia (BPH). Furthermore, the present method is applied to the morphological measurement of the urine flow divided into two parts to demonstrate that it successfully obtains morphological information of urination.

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Flow Estimation Algorithm from Simulated Urination by Image Processing

Cited by 2 publications

References 9 publications

A Preliminary Study on a Voided Volume Measuring Method Using Noncontact Temperature Sensors under the Toilet Seat

A Preliminary Study on a Voided Volume Measuring Method Using Noncontact Temperature Sensors under the Toilet Seat

カラー水平切断光を用いたビジュアルウロフロメトリーの研究

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