OCT无创血糖检测图像处理最优化方法研究
[3] FAN Y Q, GAO F, WANG M, et al. Recent development of wearable microfluidics applied in body fluid testing and drug delivery[J]. Chinese Journal of Analytical Chemistry, 2017, 45(3): 455-463(in Chinese).
[4] SHOKREKHODAEI M, QUINONES S. Review of non-invasive glucose sensing techniques: Optical, electrical and breath acetone [J]. Sensors, 2020, 20(5): 1251.
[5] LARIN K V, ELEDRISI M S, MOTAMEDI M, et al. Noninvasive blood glucose monitoring with optical coherence tomography: A pilot study in human subjects [J]. Diabetes Care, 2002, 25(12): 2263-2267.
[6] KURANOV R V, SAPOZHNIKOVA V V, PROUGH D S, et al. Prediction capability of optical coherence tomography for blood glucose concentration monitoring [J]. Journal of Diabetes Science and Technology, 2007, 1(1): 470-477.
[7] LARIN K V, MOTAMEDI M, ASHITKOV T V, et al. Specificity of noninvasive blood glucose sensing using optical coherence tomography technique: A pilot study [J]. Physics in Medicine and Biology, 2003, 48(10): 1371-1390.
[8] HE R Y, WEI H J, GU H M, et al. Effects of optical clearing agents on noninvasive blood glucose monitoring with optical coherence tomography: A pilot study [J]. Journal of Biomedical Optics, 2012, 17(10): 101513.
[9] MARUO K, OOTA T, TSURUGI M, et al. Noninvasive near-infrared blood glucose monitoring using a calibration model built by a numerical simulation method: Trial application to patients in an intensive care unit [J]. Applied Spectroscopy, 2006, 60(12): 1423-1431.
[10] RAMASAHAYAM S, ARORA L, CHOWDHURY S R, et al. FPGA based system for blood glucose sensing using photo plethysmography and online motion arifact correction using adaline [C]//Proceedings of the 9th International Conference on Sensing Technology. New York, USA: IEEE, 2015: 1-21.
[11] KATRUI N B, NUR A T, MOHD H H, et al. PLS predictive model for in-vivo non-invasive finger touch blood glucose NIR spectrosensor [C]//Regional Symposium on Micro and Nanoelectronics (RSM). New York, USA: IEEE, 2021: 88-91.
[12] ARIF A Y, NOREHA A M, ZAHIRUL A H M, et al. Continuous non-invasive blood glucose level measurement using near-infrared LEDs [C]//8th International Conference on Computer and Communication Engineering (ICCCE). New York, USA: IEEE, 2021: 32-37.
[13] YU Y, HUANG J P, ZHU J, et al. An accurate noninvasive blood glucose measurement system using portable near-infrared spectrometer and transfer learning framework [J]. IEEE Sensors Journal, 2021, 21(3): 3506-3519.
[14] GOETZ M J, COTE G L, ERCKENS R, et al. Application of a multivariate technique to Raman spectra for quantification of body chemicals [J]. IEEE Transactions on Biomedical Engineering, 1995, 42(7): 728-731.
[15] ENEJDER A M K, SCECINA T G, OH J, et al. Raman spectroscopy for noninvasive glucose measurements [J]. Journal of Biomedical Optics, 2005, 10(3): 031114.
[16] GOLPARVAR A, BOUKHAYMA A, LOAYZA T, et al. Very selective detection of low physiopathological glucose levels by spontaneous Raman spectroscopy with univariate data analysis [J]. Biological Nano Science, 2021, 11: 871-877.
[17] DEEPAK K P, HARDIK L K, PARIDHI S, et al. Overview of Raman spectroscopy: Fundamental to applications [J]. Modern Techniques of Spectroscopy, 2021, 13: 145-184.
[18] GLADKOVA N D, PETROVA G A, NIKULIN N K, et al. In vivo optical coherence tomography imaging of human skin: Norm and pathology [J]. Skin Research and Technology, 2000, 6(1): 6-16.
[19] DREZEK R, DUNN A, RICHARDS K R. Light scattering from cells: Finite-difference time-domain simulations and goniometric measurements [J]. Applied Optics, 1999, 38(16): 3651-3661.
[20] SU Y, YAO X S, LI Z, et al. Measurement of the thermal coefficient of optical attenuation at different depth regions of in vivo human skins using optical coherence tomography: A pilot study[J]. Biomedical Optics Express, 2015, 6(2): 500-513.
[21] SU Y, YAO X S, WEI C J, et al. Determination of the pressure coefficient of optical attenuation in differernt layers of in-vivo human skins with optical coherence tomography[J]. IEEE Photonics Journal, 2016, 8(1): 3800110.
[22] SOLANKI J, SEN P, ANDREWS J T, et al. Blood glucose monitoring in human subjects using optical coherence tomography [J]. Journal of Optics, 2012, 41(3): 127-133.
[23] KURANOV R V, SPAOZHNIKOVA V V, PROUGH D S, et al. In vivo study of glucose-induced changes in skin properties assessed with optical coherence tomography[J]. Physics in Medicine and Biology, 2006, 51(16): 3885-3900.
[24] YASUAKI H, YOSHIAKI Y. Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography [J]. Optics Express, 2006, 14(5): 1862-1877.
[25] BHANDARI A, HAMRE B, FRETTE B, et al. Modeling optical properties of human skin using Mie theory for particles with different size distributions and refractive indices[J]. Optics Express, 2011, 19(15): 14549-14567.
刘逸飞, 苏亚, 姚晓天, 崔省伟, 杨丽君, 周聪聪, 何松. OCT无创血糖检测图像处理最优化方法研究[J]. 激光技术, 2023, 47(2): 178. LIU Yifei, SU Ya, YAO Xiaotian, CUI Shengwei, YANG Lijun, ZHOU Congcong, HE Song. An optimization method of image processing for OCT non-invasive blood glucose detection[J]. Laser Technology, 2023, 47(2): 178.