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Wearable Sensors and Artificial Intelligence for Carbohydrate Counting

NCT05335889 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 12

Last updated 2024-04-12

No results posted yet for this study

Summary

This is a one-group pilot study where Chinese immigrants who are English speaking with T2D from NYU Langone Health and NYU Brooklyn Family Health Center (Sunset Park) will be recruited.

Conditions

Interventions

DEVICE

eButton

The eButton is a wearable camera that takes pictures every 6 seconds of whatever is in front of participants. The recorded data are processed by algorithms to determine food names, volumes, and nutrient value of the consumed food (e.g., grams of carbohydrates). The eButton is a wearable device containing a multicore microprocessor, a rechargeable battery capable of 10-15 hours of continuous operation (upon a flexible choice of battery capacity), a miniSD card for data storage.

DEVICE

Continuous Glucose Monitoring (CGM)

The use of this device provides ambulatory glucose profiles, giving graphic and quantitative information on 24-hour glucose patterns. It does not require finger-prick testing for calibration. The system consists of a reader and a sensor (35 mm x 5 mm). The sensor is applied to the back of a person's arm. The sensor automatically measures interstitial glucose at 15-minute intervals during daily activities like work, sleep, eating, and exercise. It is able to store blocks of glucose data for 14 days.

Sponsors & Collaborators

Principal Investigators

  • Yaguang Zheng, PhD, RN · NYU Langone Health

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-18
Primary Completion
2023-09-22
Completion
2023-09-22

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

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 NCT05335889 on ClinicalTrials.gov