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Database and Calibration of a Non-invasive Glucose Monitoring Device

Database and Calibration of a Non-invasive Glucose Monitoring Device

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03362528
Enrollment
12
Registered
2017-12-05
Start date
2017-09-25
Completion date
2019-01-28
Last updated
2019-12-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes

Brief summary

This clinical study has been launched to collect spectral raman data paired with validated glucose reference values in private homes of subjects.

Detailed description

Subjects will collect 2-4 daily optical raman readings paired with capillary Blood Glucose comparator in own home with maintaining usual routines. Subjects will either collect data for 30 days during a 60 days period or collect data for 90 days during 6 months.

Interventions

DEVICEWM3.4NR

Investigational Medical Device collecting spectral raman data from tissue.

Sponsors

RSP Systems A/S
Lead SponsorINDUSTRY

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Male and female subjects 18 years of age or older * Diabetic (all types) patients

Exclusion criteria

* Pregnant women * Subjects not able to understand and read Danish * In investigator's opinion, subject is not able to follow instructions as specified in the protocol * Subjects not able to hold hand/arm steadily * Extensive skin changes, tattoos or diseases on probe application site * Rejection by prescreening optical measurements * Known allergy to medical grade alcohol used to disinfect skin

Design outcomes

Primary

MeasureTime frameDescription
Generation and validation of predictive algorithms for determining blood glucose levels7 monthsCollected spectral raman data will found the development of predictive algorithms for glucose determination. Performance of predictive models will be evaluated using the consensus error grid

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026