ArticleSensors (Basel, Switzerland)2020
Boxer Underwear Incorporating Textile Moisture Sensor to Prevent Nocturnal Enuresis.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Micro-CT-Based Experimental Study on the 3D Structure-Electrical Conductivity Relationship of Metal-Coated Woven Fabrics.Materials (Basel, Switzerland) · 2026Article
- Review
- Review
- Bibliometric and visual analysis of nocturnal enuresis from 1982 to 2022.Frontiers in pediatrics · 2022Review
- Silver Conductive Threads-Based Embroidered Electrodes on Textiles as Moisture Sensors for Fluid Detection in Biomedical Applications.Materials (Basel, Switzerland) · 2021Article
- Textile-Based Sensors for Biosignal Detection and Monitoring.Sensors (Basel, Switzerland) · 2021Review
- Conception of a Phantom in Agar-Agar Gel with the Same Bio-Impedance Properties as Human Quadriceps.Sensors (Basel, Switzerland) · 2021Article
- E-Textile Systems Reliability Assessment-A Miniaturized Accelerometer Used to Investigate Damage during Their Washing.Sensors (Basel, Switzerland) · 2021Article
- In Situ Detection of Water Leakage for Textile-Reinforced Composites.Sensors (Basel, Switzerland) · 2020Article
- Interdigital Capacitor-Based Passive LC Resonant Sensor for Improved Moisture Sensing.Sensors (Basel, Switzerland) · 2020Article
- Wearable Textile UHF-RFID Sensors: A Systematic Review.Materials (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Around 15% of children still wet their bed after five years old. Although bedwetting alarms have proven to be effective to achieve nighttime dryness, they are cumbersome so children could be reluctant to use them. Therefore, the moisture sensor and wire were made unobtrusive by seamlessly integrated them into fully textile underwear by using conductive yarns. Consequently, the alarm acceptability should be enhanced by improving children's comfort. Three conductive textile metallic yarns, made of silver or stainless steel, were considered to fabricate the urine leakage sensor. Silver-plated-nylon yarn, which showed the highest electrical conductivity, outperformed the stainless-steel yarns regarding its ability to detect urine leakage as well as its detection speed. Furthermore, it was proven to withstand multiple urine soakings and the following machine-washings, even at high temperature (60 °C). However, the electrical current, necessary to detect the leakage, tends to corrode the silver. Therefore, the detection circuit was adapted. Eventually, the designed leakage sensor was seamlessly integrated into a child's trunk underwear, into which a miniaturized alarm can be plugged. The resulting textile underwear aims at replacing the rigid alarm system currently available, hence improving the quality of life of enuretic children and help them achieving nighttime dryness.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.