Translating Biometric Data Into Blood Glucose Levels
NCT04946188 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 14
Last updated 2021-07-22
Summary
This study is designed to assist with the development of a first, truly non-invasive technology for blood glucose monitoring, which will have the potential to eliminate the need for painful finger pricking or expensive continuous blood glucose monitor use. The purpose of this study is to collect biometric data, such as bioimpedance (how well the body impedes electric current flow), from participants who are living with type 2 diabetes. A proof-of-concept prototype (non-invasive continuous glucose monitor; NI-CGM) will be used to collect this biometric data. The data will then be used to develop and refine a computer model that can be used to predict blood glucose levels (BGLs). Individuals with diabetes experience a great range of blood BGLs throughout their daily life and activities, therefore it is essential to gather biometric data corresponding to this large range to build a computer model, to ensure model reliability.
Conditions
- Diabetes Type 2
Interventions
- DEVICE
-
Opuz NICGM
A wearable and non-invasive prototype device that allows for measurement of bioimpedance data with the aim to help develop a mathematical model to predict blood glucose levels.
Sponsors & Collaborators
-
Scimita Operations Pty Ltd.
lead INDUSTRY
Principal Investigators
-
Thomas Telfer, PhD (Med) · Scimita Operations
-
Farid Sanai, PhD (Med) · Scimita Operations
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-07-21
- Primary Completion
- 2020-12-14
- Completion
- 2020-12-14
Countries
- Australia
Study Locations
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