MedPath

Using the Smart Underwear Device to Determine a Baseline of Flatus Activity Normalized to Fiber Intake

Not yet recruiting
Conditions
All Health Backgrounds to Determine a Baseline of Flatus Activity
Registration Number
NCT07134543
Lead Sponsor
University of Maryland, College Park
Brief Summary

The goal of this observational study is to quantify the typical frequency of flatulence in healthy adults, normalized by fiber intake, using the Smart Underwear device. The study will enroll a maximum of 500 adults across the United States who will wear the device for three consecutive days while continuing their usual daily activities.

The main questions it aims to answer are:

* What is the average frequency of flatus events in a general adult population?

* How does dietary fiber intake influence flatus frequency and microbiome activity?

Researchers will collect gas sensor data from the Smart Underwear device alongside dietary information logged in a mobile app to assess the relationship between diet and microbiome activity.

Participants will:

* Complete an online eligibility survey, consent form, and background questionnaire.

* Wear the Smart Underwear device for at least 12 hours per day for three consecutive days.

* Log all meals with photos using a custom smartphone app.

* Complete a short post-wear survey about device comfort and usability.

All study procedures will be conducted remotely. Data will be analyzed in de-identified form to evaluate baseline flatulence patterns, normalized to fiber intake, in the general adult population.

Detailed Description

Not available

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
500
Inclusion Criteria
  • 18 years old or older
  • Lives in the US
  • Is not pregnant or lactating
  • Is willing to wear the Smart Underwear device as instructed in the study procedures
Exclusion Criteria
  • Younger than 18 years old
  • Lives outside the US
  • Is pregnant or lactating
  • Is not willing to wear the Smart Underwear device as instructed in the study procedures

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Microbiome Activity Index12 hours each day for 3 days

The Microbiome Activity Index is a composite measure reflecting gut microbiome activity, calculated from both flatus frequency and hydrogen gas concentration. The index uses the absolute value of the first derivative of the hydrogen sensor signal to better capture flatus intensity, reduce baseline noise, and mitigate sensor saturation at high hydrogen levels. This composite approach ensures a more accurate representation of gut microbiome activity than relying on flatus count or hydrogen concentration alone. Data are collected using a wearable device ("Smart Underwear") and uploaded to the Human Flatus Atlas app.

Secondary Outcome Measures
NameTimeMethod
Fiber-Normalized Flatus Frequency12 hours each day for 3 days

The participant's flatus frequency (events/day) normalized by self-reported dietary fiber intake (grams/day). Normalization will allow assessment of typical adult flatulence frequency in relation to fiber consumption.

Total flatus count12 hours each day for 3 days

The total number of flatus events detected by the wearable device. Detection is based on hydrogen gas concentration changes and signal rate-of-change analysis.

Flatus Per Hour12 hours each day for 3 days

The rate of flatus events normalized per hour, calculated from the total number of events and the total monitored time.

Microbiome Activity Index Comparative Score12 hours each day for 3 days

A relative score comparing the participant's Microbiome Activity Index to aggregated anonymized results from other individuals in the Human Flatus Atlas study. Presented as a percentile rank or standardized score.

Trial Locations

Locations (1)

Bioscience Research Building

🇺🇸

College Park, Maryland, United States

Bioscience Research Building
🇺🇸College Park, Maryland, United States
Brantley Hall, PhD
Contact
5407978040
brantley@umd.edu

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.