We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Diapers with Test Strips Help Spot Developing Disease

By HospiMedica International staff writers
Posted on 24 Jul 2013
Print article
Image: Smart diapers and the accompanying app (Photo courtesy of Pixie Scientific).
Image: Smart diapers and the accompanying app (Photo courtesy of Pixie Scientific).
Sophisticated diapers with built-in test strips could alert to medical conditions that require immediate attention.

Smart diapers are an unobtrusive method of tracking a child’s health via home urinalysis. As the child urinates, the liquid makes contact with a square QR code that has test strips surrounding it; there is also a neutral white square, to more easily check for color changes in the other squares. Once the colors have settled, a picture is taken of the strips and QR code. A complimentary smartphone app automatically recognizes the colors and their location relative to the code, and provides output on any potential medical conditions, including urinary tract infections, prolonged dehydration, or signs of kidney problems.

All these conditions that often affect babies can be detected through the use of urine test strips, but such strips are cumbersome to use, especially with babies, who do not urinate on command. By using the Smart diaper, parents do not have wait for the child to pee, or go through the unpleasant task of squeezing urine drops out of soiled diapers onto test strips. The diapers can also help parents track a sick child's health for months or years, automatically looking for emerging trends.

The test pad area contains reagents that interact with leukocytes and nitrites generated by bacteria. The reagents and the dyes formed as a result of reaction with urine content are not toxic and never come in direct contact with the child’s skin, since they are positioned over the absorbent core and the inner layer of the diaper, which does not let liquid back in. The Smart Diaper is under development by Pixie Scientific (New York, NY, USA), and is expected to be tested at Benioff Children’s Hospital (San Francisco, CA, USA) in September 2013.

“I was driving with my wife and daughter one day, when my wife asked if the baby had wet herself; I realized she was sitting in data,” said Yaroslav Faybishenko, Pixie’s founder. “We could use special engineered diapers and require data before the visible symptoms set in and to try to understand the onset of any chronic conditions before simply before the symptoms are visible.”

Related Links:
Pixie Scientific
Benioff Children’s Hospital

Gold Member
12-Channel ECG
CM1200B
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Portable HF X-Ray Machine
PORTX
New
Mattress
Powered Therapeutic Mattress

Print article

Channels

Critical Care

view channel
Image: Tracking levels of glucose in the blood helps researchers learn more about the biology of diabetes (Photo courtesy of 123RF)

AI Predicts and Identifies Subtypes of Type 2 Diabetes from Continuous Blood Glucose Monitor

Diabetes has traditionally been classified into two types — Type 1, which typically develops in childhood, and Type 2, which is often linked to obesity and tends to occur later in life. However, scientists... Read more

Surgical Techniques

view channel
Image: Vapor can be seen exiting the Vanquish Water Vapor Ablation System (Photo courtesy of Francis Medical)

Water Vapor Therapy Offers Alterative to Surgery or Radiation for Treating Prostate Cancer

Intermediate-risk prostate cancer, in which the tumor remains confined to the prostate gland and does not spread to other organs, makes up about one-third of all localized prostate cancers.... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.