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A Machine Learning Approach for Inferring Alcohol Intoxication Levels From Gait Data

NCT03246490 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 141

Last updated 2020-04-07

No results posted yet for this study

Summary

This study aims to develop a phone app to assess gait differences at different levels of alcohol intoxication.

Conditions

  • Alcohol Drinking

Interventions

OTHER

All Participants

all participants will participate in the same protocol involving drinking alcohol to a .08 g% blood alcohol level

Sponsors & Collaborators

  • Butler Hospital

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
21 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-12-12
Primary Completion
2019-07-31
Completion
2019-07-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03246490 on ClinicalTrials.gov