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Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
Led by University of Illinois at Urbana-Champaign · Updated on 2025-08-06
240
Participants Needed
1
Research Sites
56 weeks
Total Duration
On this page
Sponsors
U
University of Illinois at Urbana-Champaign
Lead Sponsor
N
National Institutes of Health (NIH)
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are evaluating the accuracy of new wearable alcohol biosensors that measure blood alcohol concentration (BAC) through the skin. This study focuses on adults who drink alcohol at least twice a week and aims to understand how well these transdermal sensors estimate alcohol consumption and drinking risk levels in real-world and controlled laboratory settings. The study also uses machine learning to improve sensor readings by accounting for environmental factors that may affect measurements. Participants will undergo three laboratory alcohol-administration sessions spaced one week apart, where they will consume alcohol at different doses targeting peak BAC levels of .03%, .06%, and .09%. The rate of alcohol consumption is varied between participants, with some drinking faster and others slower. During these sessions, participants will wear transdermal devices and provide breathalyzer readings every 10 minutes. They will also experience environmental tests such as exposure to common alcohol-containing products, light exercise to induce sweating, and arm movements to assess sensor accuracy. Alongside, participants will wear biosensors continuously for 14 days in their daily lives, providing breathalyzer readings prompted randomly and by themselves via smartphone. Throughout the 14-day ambulatory period, participants will be trained on device use and standard drink reporting. Final laboratory visits include equipment return and questionnaires about the sensor experience and willingness to use such technology in the future. Researchers will collect data on transdermal estimates of alcohol consumption, drinking risk, and BAC over the study period. The total participation includes orientation, three lab sessions, ambulatory monitoring, and study close-out over two weeks.
CONDITIONS
Brief Title
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 21 years or older
- Drink alcohol at least 2 times weekly
You will not qualify if you...
- Psychological or medical conditions that might contraindicate alcohol administration
- History of adverse reaction to the type and amount of beverage used in the study
- Currently seeking treatment for alcohol use disorder
- Does not drink alcohol regularly
- Taking drugs or medications for which alcohol consumption would be contraindicated
- Women who are pregnant or are attempting to become pregnant
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - 2 weeks
Participants attend three laboratory sessions to consume alcohol at different doses and rates while wearing transdermal sensors and undergoing environmental manipulations to test device accuracy.
3 visits (in-person) at day 0, day 7, and day 14
Duration - 14 days
Participants wear transdermal devices and provide breathalyzer readings in everyday settings, responding to random and user-initiated prompts via smartphones.
Continuous monitoring with multiple breathalyzer readings prompted during this period
Duration - 1 day
Participants return study equipment and complete questionnaires reflecting on their experience using the transdermal sensors.
1 visit (in-person) on day 14
Trial Site Locations
Total: 1 location
1
University of Illinois at Urbana-Champaign
Champaign, Illinois, United States, 61820
Actively Recruiting
Research Team
C
Catharine Fairbairn, PhD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0