Paper
1 March 2013 A device to improve the SNR of the measurement of the positional floating reference point
Jingying Jiang, Xuzheng Rong, Hao Zhang, Kexin Xu
Author Affiliations +
Abstract
Previous studies have preliminarily validated the floating reference method and shown that it has the potential to improve the accuracy of non-invasive blood glucose sensing by Near-Infrared Spectroscopy. In order to make this method practical, it is necessary to precisely verify and measure the existence and variation features of the positional floating reference point. In this talk, a device which can precisely verify and measure the positional floating reference point is built. Since the light intensity of diffuse reflectance from the tested sample is very weak, a multipath detecting fibers system was built to improve signal-to-noise ratio. In this system, the fibers encircle the light source fiber which is regarded as the reference center of detecting fibers while they are moving. In addition, the position of each fiber is accurately controlled by manual translation stage to keep all detecting fibers always in the same radius around light source fiber. This ensures that received signal is coming from the same radial distance of light source. The variation of signal-to-noise ratio along with the different radial distance was investigated based on experiments. Results show that the application of this device could improve signal-to-noise ratio, and provide a new experimental method for the further study of positional floating reference point.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingying Jiang, Xuzheng Rong, Hao Zhang, and Kexin Xu "A device to improve the SNR of the measurement of the positional floating reference point", Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 858019 (1 March 2013); https://doi.org/10.1117/12.2001764
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Cited by 4 scholarly publications.
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KEYWORDS
Signal to noise ratio

Optical fibers

Light sources

Diffuse reflectance spectroscopy

Glucose

Computing systems

Near infrared spectroscopy

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