Application of time-resolved glucose concentration photoacoustic signals based on an improved wavelet denoising

Zhong Ren; Guodong Liu; Zhen Huang

doi:10.1117/12.2070843

29 October 2014 Application of time-resolved glucose concentration photoacoustic signals based on an improved wavelet denoising

Zhong Ren, Guodong Liu, Zhen Huang

Author Affiliations +

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92733G (2014) https://doi.org/10.1117/12.2070843
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Real-time monitoring of blood glucose concentration (BGC) is a great important procedure in controlling diabetes mellitus and preventing the complication for diabetic patients. Noninvasive measurement of BGC has already become a research hotspot because it can overcome the physical and psychological harm. Photoacoustic spectroscopy is a well-established, hybrid and alternative technique used to determine the BGC. According to the theory of photoacoustic technique, the blood is irradiated by plused laser with nano-second repeation time and micro-joule power, the photoacoustic singals contained the information of BGC are generated due to the thermal-elastic mechanism, then the BGC level can be interpreted from photoacoustic signal via the data analysis. But in practice, the time-resolved photoacoustic signals of BGC are polluted by the varities of noises, e.g., the interference of background sounds and multi-component of blood. The quality of photoacoustic signal of BGC directly impacts the precision of BGC measurement. So, an improved wavelet denoising method was proposed to eliminate the noises contained in BGC photoacoustic signals. To overcome the shortcoming of traditional wavelet threshold denoising, an improved dual-threshold wavelet function was proposed in this paper. Simulation experimental results illustrated that the denoising result of this improved wavelet method was better than that of traditional soft and hard threshold function. To varify the feasibility of this improved function, the actual photoacoustic BGC signals were test, the test reslut demonstrated that the signal-to-noises ratio(SNR) of the improved function increases about 40-80%, and its root-mean-square error (RMSE) decreases about 38.7-52.8%.

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Zhong Ren, Guodong Liu, and Zhen Huang "Application of time-resolved glucose concentration photoacoustic signals based on an improved wavelet denoising", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733G (29 October 2014); https://doi.org/10.1117/12.2070843

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KEYWORDS

Wavelets

Denoising

Photoacoustic spectroscopy

Interference (communication)

Signal to noise ratio

Glucose

Blood

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