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Study on the correlation between the spectroscopic information and the invasive blood glucose values in order to develop the non-invasive blood glucose measurement calibration model mainly for the self monitoring blood glucose monitoring of diabetics.

Study on the correlation between the spectroscopic information and the invasive blood glucose values in order to develop the non-invasive blood glucose measurement calibration model mainly for the self monitoring blood glucose monitoring of diabetics. - Spectroscopic study on the non-invasive measurement of blood glucose based on the optical information, the reference blood glucose values, and the calibration method.

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000001898
Enrollment
150
Registered
2009-04-20
Start date
2009-05-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

diabetics

Interventions

Invasive blood glucose measurement would be carried out each subject by the AntsenseII of which values would be used as the reference method values.

Sponsors

Shinshu university
Lead Sponsor
NEC SystemTechnologies, Ltd Nishizawa Electric Meters Manufacturing Co.Ltd
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Grouwn-up, who would give their consent to this study after understanding the object, method, and the risk management of this study.

Exclusion criteria

Exclusion criteria: Under age person

Design outcomes

Primary

MeasureTime frame
1.Relative error of the calibration model 2.Error Grid analysis for the for the evaluation of the clinical implications

Secondary

MeasureTime frame
Efficiency of the measurement

Countries

Japan

Contacts

Public ContactIshizawa Hiroaki

Shinshu University Faculty of Textile Science and Technology

zawa@shinshu-u.ac.jp0268-21-5400

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026