2021
DOI: 10.1109/jsen.2021.3080824
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A Smart Textile System to Detect Urine Leakage

Abstract: In this paper a wearable system with a sensor embroidered on a textile substrate to detect urine leaks is presented. The system consists of a moisture textile capacitive sensor together with the signal conditioning and its wireless transmission to the cloud. The proposed system has been integrated on underwear and hospital sheet to detect the urine leakage on the diaper users and critical ill patient, respectively. The methodology used by the microcontroller to measure the sensor value is a charge/discharge me… Show more

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Cited by 8 publications
(10 citation statements)
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“…One of the sensor sides has two snap connections where the sensor is connected to the microcontroller, which measures the sensor value. The microcontroller performs a common charge-discharge method to evaluate the capacitance value of the sensor; this method has been further explained and studied in previous works [4]. To manufacture the textile capacitive sensor, the interdigital structure was built during the weave process of the fabric using a Dornier LWV8/J 71 weaving machine moved by a Jacquard Stäubli LX1600B.…”
Section: Methodsmentioning
confidence: 99%
“…One of the sensor sides has two snap connections where the sensor is connected to the microcontroller, which measures the sensor value. The microcontroller performs a common charge-discharge method to evaluate the capacitance value of the sensor; this method has been further explained and studied in previous works [4]. To manufacture the textile capacitive sensor, the interdigital structure was built during the weave process of the fabric using a Dornier LWV8/J 71 weaving machine moved by a Jacquard Stäubli LX1600B.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, textile microfluidics, which is often integrated into wearable devices, extends the reach of point-of-care diagnostics. These “smart” textiles incorporate microfluidic channels that collect and analyze bodily fluids such as sweat, 71 urine, 72 and blood. 73 In the process, the automation through microfluidics ensures seamless data collection, while the integration into clothing offers non-invasive and continuous health monitoring in real time.…”
Section: Applications In Biomedical Researchmentioning
confidence: 99%
“…where N X , N C1, and N C2 are the number of charge transfer cycles needed for C X , C C1, and C C2, respectively. This method can obtain maximum errors of 0.8% FSR for the range 100 pF -1 nF [32], but, unfortunately, calibration processes are also needed (in [33], an application of the methods proposed in [29]- [32] to detect urine leakage is shown).…”
Section: State Of the Artmentioning
confidence: 99%