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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yaguang Zheng, PhD, RN
- Phone Number: 212-998-5170
- Email: yaguang.zheng@nyu.edu
Study Locations
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New York
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New York, New York, United States, 10016
- NYU Langone Health
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- ≥18 years old
- Diagnosed with T2D at least one year prior
- Self-identified as first- or second-generation Chinese immigrants
- Feel comfortable communicating in English, the reason is that the questionnaires/surveys are validated in English
- Have a computer and internet connection
Exclusion Criteria:
- Plan frequent travel or vacations or plan to relocate in the next five weeks
- Have serious diabetes-related complications, physical illness, or mental illness (e.g., schizophrenia, bipolar disorder, or substance abuse) that would preclude participation
- Have severe cognitive impairments (e.g., dementia, intellectual disability)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
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Type 2 Diabetes group
Participants with Type 2 Diabetes will wear eButton and Continuous Glucose Monitoring (CGM) for 2 weeks and complete food diaries to record carb grams.
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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.
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.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Accuracy of Carbohydrate Counting using eButton (absolute error)
Time Frame: Day 14
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The estimated carb grams using the eButton, gold standard, and participants' food diaries will be compared head to head among each other.
The absolute error will be computed: the difference between the estimated value and the gold standard (estimated - gold standard).
Bland-Altman plots will be used to examine the level of agreement between eButton and gold standard measurements.
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Day 14
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Accuracy of Carbohydrate Counting using eButton (relative error)
Time Frame: Day 14
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The estimated carb grams using the eButton, gold standard, and participants' food diaries will be compared head to head among each other.
The relative error will be computed: the percentage difference between the estimated value relative to the gold standard.
Relative errors will be reported using boxplots to allow visual comparison of the distribution and variability in errors across all methods.
Bland-Altman plots will be used to examine the level of agreement between eButton and gold standard measurements.
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Day 14
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Proportion of participants who are fully compliant with eButton use
Time Frame: Day 14
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Proportion of participants who are fully compliant with eButton use and proportion of meals evaluated using eButton, with 95% confidence intervals will be qualitatively reported.
Perceived usefulness and perceived ease of use will be summarized as mean and standard deviation.
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Day 14
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Yaguang Zheng, PhD, RN, NYU Langone Health
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 21-01714
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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