Trials / Completed
CompletedNCT05335889
Wearable Sensors and Artificial Intelligence for Carbohydrate Counting
Feasibility of Using Wearable Sensors and Artificial Intelligence for Carbohydrate Counting in Chinese Americans With Type 2 Diabetes
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 12 (actual)
- Sponsor
- NYU Langone Health · Academic / Other
- Sex
- All
- Age
- 18 Years – 99 Years
- Healthy volunteers
- Not accepted
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.
Detailed description
To evaluate the estimation accuracy using eButton, researchers will collect carbohydrate data via weighing food by registered dietitian nutritionist (RDN) ("gold standard") (2 days/week at research labs) and food diaries by participants (2 days/week at research labs and 3 days/ week at participant home). Then, the estimated carb grams will be compared head to head among each other. Assessment will be at 0 and 2 weeks, including surveys and qualitative audio interview.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| 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. |
Timeline
- Start date
- 2022-07-18
- Primary completion
- 2023-09-22
- Completion
- 2023-09-22
- First posted
- 2022-04-20
- Last updated
- 2024-04-12
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT05335889. Inclusion in this directory is not an endorsement.