Validation of a novel digital health monitoring system to measure the volume of voided urine

Abstract

Aim To validate a novel digital health monitoring system to measure the volume of voided urine. Methods Micturition volume was calculated using our novel digital self‐health monitoring system of urine excretion (s‐HMSU) in 18 participants (16 women and 2 men; average age, 40.8 years), without a history of voiding symptoms. Participants completed a self‐reported questionnaire regarding their medical history and water intake during the period of observation, as well as the Core Lower Urinary Tract Symptom Score (CLSS) questionnaire. To assess the reliability of the voided volumes measured using the s‐HMSU, the intraclass correlation coefficient (ICC) was calculated between the volume and the change in body weight before and after micturition. Results The CLSS questionnaire confirmed the absence of urinary system diseases in all participants. The medical history was also negative with the exception of hypertension in one participant. The ICC (1,1) between the measured volume of urine excretion using the s‐HMSU and the change in body weight was 0.972 (95% confidence interval, 0.957‐0.982). Conclusions The s‐HMSU system provides a reliable measure of voiding volume and is appropriate for home use. It has the potential to facilitate large‐scale clinical research to examine the relationship between medical diseases and voiding dysfunction.

Effect of a mobile digital intervention to enhance physical activity in individuals with metabolic disorders on voiding patterns measured by 24-h voided volume monitoring system: Kumejima Digital Health Project (KDHP)

“…The sensor is installed on the toilet itself and calculates the volume of urine excreted using a fluid model, including the shape of the toilet bowl and the known volume and temperature of the water in the bowl. We have previously validated the measured voided volume of the s-HMSU system and confirmed reliable and high resolutions (intraclass correlation 0.972) [ 8 ]. Each participant could be recognized by an identification card, and the voiding volume of excreted urine for each participant was automatically recorded.…”

“…The s-HMSU was developed to provide a reliable alternative to paper-based frequency-volume charts to measure the volume of urine excretion. We have previously validated the measured voided volume of the s-HMSU system using the change in body weight and confirmed that this volume measurement was reliable (intraclass correlation = 0.972, coefficient of determination = 0.94) [ 8 ]. Automatically accumulated urine volume data provide several advantages, as individuals do not require data input and rapid transfer, such as by cloud, can make early clinical decision-making and feedback more accessible.…”

“…The digital self-health monitoring system to measure the volume of voided urine (s-HMSU) for home use was originally developed as an alternative to paper-based frequency-volume charts. We previously validated the measured voided volume of the s-HMSU system and confirmed its high reliability in the Kumejima Digital Health Project (KDHP) [ 8 ]. Automatically collected data include night-time frequency, maximal bladder capacity, and hours of undisturbed sleep (HUS) [ 9 ].…”

Obesity and Voiding Parameters in a Community-Based Population of Okinawa, Japan: Kumejima Digital Health Project (KDHP)

“…However, paper-based FVC is annoying and time-consuming for patients with nocturia, and is usually difficult to complete. We recently developed the digital self-health monitoring system of urine excretion (s-HMSU) as an alternative to FVC [ 13 , 14 ]. We believe that the s-HMSU’s ability to automatically record each voiding time and measure the volume of voided urine might be useful in the development of digital health approaches.…”

Personal Identification Using a Ballistocardiogram During Urination Obtained from a Toilet Seat

“…Symax Inc. (Tokyo, Japan) has developed a service that allows toilet users to collect personal urine statistics and urinalysis results by simply installing a sensor inside their household toilet [4]. In a study conducted by Symax Inc., participants were assigned identi cation cards and the volume of excreted urine for each individual was automatically recorded over the period of observation.…”