Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy
Previous results show that the floating reference theory (FRT) is an effective tool to reduce the influence of interference factors on noninvasive blood glucose sensing by near-infrared spectroscopy (NIRS). It is the key to measure the floating reference point (FRP) precisely for the application of...
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doaj-a904b399bb8d4970b14b89da77e9284d2020-11-25T00:24:02ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052017-03-011021650041-11650041-1210.1142/S179354581650041310.1142/S1793545816500413Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopyCongcong Ma0Jia Qin1Qi Zhang2Junsheng Lu3Kexin Xu4Jingying Jiang5Tianjin Key Laboratory of Biomedical, Detecting Techniques and Instruments, College of Precision Instruments & Opto-electronics Engineering, Tianjin University (TU), 92# Weijin Road, Nankai District, Tianjin 300072, P. R. ChinaSan Francisco, Ophthalmology, University of California, 480 North Civic Drive 106, Walnut Creek, California 94596, United StatesTianjin Key Laboratory of Biomedical, Detecting Techniques and Instruments, College of Precision Instruments & Opto-electronics Engineering, Tianjin University (TU), 92# Weijin Road, Nankai District, Tianjin 300072, P. R. ChinaTianjin Key Laboratory of Biomedical, Detecting Techniques and Instruments, College of Precision Instruments & Opto-electronics Engineering, Tianjin University (TU), 92# Weijin Road, Nankai District, Tianjin 300072, P. R. ChinaState Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instruments & Opto-electronics Engineering, Tianjin University (TU), 92# Weijin Road, Nankai District, Tianjin 300072, P. R. ChinaTianjin Key Laboratory of Biomedical, Detecting Techniques and Instruments, College of Precision Instruments & Opto-electronics Engineering, Tianjin University (TU), 92# Weijin Road, Nankai District, Tianjin 300072, P. R. ChinaPrevious results show that the floating reference theory (FRT) is an effective tool to reduce the influence of interference factors on noninvasive blood glucose sensing by near-infrared spectroscopy (NIRS). It is the key to measure the floating reference point (FRP) precisely for the application of FRT. Monte Carlo (MC) simulation has been introduced to quantitatively investigate the effects of positioning errors and light source drifts on measuring FRP. In this article, thinning and calculating method (TCM) is proposed to quantify the positioning error. Meanwhile, the normalization process (NP) is developed to significantly reduce the error induced by light source drift. The results according to TCM show that 7μm deviations in positioning can generate about 10.63% relative error in FRP. It is more noticeable that 1% fluctuation in light source intensity may lead to 12.21% relative errors. Gratifyingly, the proposed NP model can effectively reduce the error caused by light source drift. Therefore, the measurement system for FRPs must meet that the positioning error is less than 7μm, and the light source drift is kept within 1%. Furthermore, an improvement for measurement system is proposed in order to take advantage of the NP model.http://www.worldscientific.com/doi/pdf/10.1142/S1793545816500413Thinning and calculating methodMonte Carlo simulationnoninvasive blood glucose sensingfloating reference theorypositioning errorlight source drift |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Congcong Ma Jia Qin Qi Zhang Junsheng Lu Kexin Xu Jingying Jiang |
spellingShingle |
Congcong Ma Jia Qin Qi Zhang Junsheng Lu Kexin Xu Jingying Jiang Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy Journal of Innovative Optical Health Sciences Thinning and calculating method Monte Carlo simulation noninvasive blood glucose sensing floating reference theory positioning error light source drift |
author_facet |
Congcong Ma Jia Qin Qi Zhang Junsheng Lu Kexin Xu Jingying Jiang |
author_sort |
Congcong Ma |
title |
Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
title_short |
Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
title_full |
Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
title_fullStr |
Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
title_full_unstemmed |
Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
title_sort |
monte carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy |
publisher |
World Scientific Publishing |
series |
Journal of Innovative Optical Health Sciences |
issn |
1793-5458 1793-7205 |
publishDate |
2017-03-01 |
description |
Previous results show that the floating reference theory (FRT) is an effective tool to reduce the influence of interference factors on noninvasive blood glucose sensing by near-infrared spectroscopy (NIRS). It is the key to measure the floating reference point (FRP) precisely for the application of FRT. Monte Carlo (MC) simulation has been introduced to quantitatively investigate the effects of positioning errors and light source drifts on measuring FRP. In this article, thinning and calculating method (TCM) is proposed to quantify the positioning error. Meanwhile, the normalization process (NP) is developed to significantly reduce the error induced by light source drift. The results according to TCM show that 7μm deviations in positioning can generate about 10.63% relative error in FRP. It is more noticeable that 1% fluctuation in light source intensity may lead to 12.21% relative errors. Gratifyingly, the proposed NP model can effectively reduce the error caused by light source drift. Therefore, the measurement system for FRPs must meet that the positioning error is less than 7μm, and the light source drift is kept within 1%. Furthermore, an improvement for measurement system is proposed in order to take advantage of the NP model. |
topic |
Thinning and calculating method Monte Carlo simulation noninvasive blood glucose sensing floating reference theory positioning error light source drift |
url |
http://www.worldscientific.com/doi/pdf/10.1142/S1793545816500413 |
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