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In-vivo, non-invasive detection of hyperglycemic states in animal models using mm-wave spectroscopy

View Article: PubMed Central - PubMed

ABSTRACT

Chronic or sustained hyperglycemia associated to diabetes mellitus leads to many medical complications, thus, it is necessary to track the evolution of patients for providing the adequate management of the disease that is required for the restoration of the carbohydrate metabolism to a normal state. In this paper, a novel monitoring approach based on mm-wave spectroscopy is comprehensively described and experimentally validated using living animal models as target. The measurement method has proved the possibility of non-invasive, in-vivo, detection of hyperglycemia-associated conditions in different mouse models, making possible to clearly differentiate between several hyperglycemic states.

No MeSH data available.


Block diagram of the measurement set-up.SG, Signal Generator; Atenn, Variable Attenuator; PD, Power Divider; AFM, Active Frequency Multiplier; DC, Directional Coupler; Sample; Skin sample (animal); HMR, W-Band Receiver; HS4, Acquisition Hardware. The blue wires represent base band signals (12.5–18.5 GHz), the red wires high frequency signals (75–111 GHz) and the green wires represent intermediate frequency signals (9 MHz).
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f6: Block diagram of the measurement set-up.SG, Signal Generator; Atenn, Variable Attenuator; PD, Power Divider; AFM, Active Frequency Multiplier; DC, Directional Coupler; Sample; Skin sample (animal); HMR, W-Band Receiver; HS4, Acquisition Hardware. The blue wires represent base band signals (12.5–18.5 GHz), the red wires high frequency signals (75–111 GHz) and the green wires represent intermediate frequency signals (9 MHz).

Mentions: A mm-wave spectroscopic instrument working in the W-band was used for the experiment, which is tuned from 75 to 110 GHz in steps of 1.5 GHz acquiring at every point the amplitude and phase of the signal transmitted through and reflected from the skin samples. The simplified block diagram of the set-up employed in the measurements is shown in Fig. 6 and a photograph of the instrument in Fig. 7.


In-vivo, non-invasive detection of hyperglycemic states in animal models using mm-wave spectroscopy
Block diagram of the measurement set-up.SG, Signal Generator; Atenn, Variable Attenuator; PD, Power Divider; AFM, Active Frequency Multiplier; DC, Directional Coupler; Sample; Skin sample (animal); HMR, W-Band Receiver; HS4, Acquisition Hardware. The blue wires represent base band signals (12.5–18.5 GHz), the red wires high frequency signals (75–111 GHz) and the green wires represent intermediate frequency signals (9 MHz).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5037419&req=5

f6: Block diagram of the measurement set-up.SG, Signal Generator; Atenn, Variable Attenuator; PD, Power Divider; AFM, Active Frequency Multiplier; DC, Directional Coupler; Sample; Skin sample (animal); HMR, W-Band Receiver; HS4, Acquisition Hardware. The blue wires represent base band signals (12.5–18.5 GHz), the red wires high frequency signals (75–111 GHz) and the green wires represent intermediate frequency signals (9 MHz).
Mentions: A mm-wave spectroscopic instrument working in the W-band was used for the experiment, which is tuned from 75 to 110 GHz in steps of 1.5 GHz acquiring at every point the amplitude and phase of the signal transmitted through and reflected from the skin samples. The simplified block diagram of the set-up employed in the measurements is shown in Fig. 6 and a photograph of the instrument in Fig. 7.

View Article: PubMed Central - PubMed

ABSTRACT

Chronic or sustained hyperglycemia associated to diabetes mellitus leads to many medical complications, thus, it is necessary to track the evolution of patients for providing the adequate management of the disease that is required for the restoration of the carbohydrate metabolism to a normal state. In this paper, a novel monitoring approach based on mm-wave spectroscopy is comprehensively described and experimentally validated using living animal models as target. The measurement method has proved the possibility of non-invasive, in-vivo, detection of hyperglycemia-associated conditions in different mouse models, making possible to clearly differentiate between several hyperglycemic states.

No MeSH data available.