CN109475329A - 基于ts模糊控制的非侵入性医疗分析方法 - Google Patents
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- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims abstract description 14
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Abstract
本发明涉及一种检测血液中葡萄糖及其他指标的高精度非侵入性的方法。所述方法基于TS模糊模型，以实现血液中每一指标的模型化。所述模型确定每一指标的吸收度，以更精确地检测葡萄糖浓度。所述方法采用蒙特卡洛模拟法，以检测不同组织中光子路径长度。本发明基于TS模糊模型开发了一种改进的蒙特卡洛算法。采用所述方法可确定血液中几种指标的浓度。另一方面，本发明公开了一种检测不同血液指标浓度的新颖的激光二极管。所述二极管通过分解多工方法将入射光分解成多个波长，根据熊朗伯定律确定血液中各指标的浓度。这实现上述目的，本发明采用了两种方法：绝缘体上硅法及光子晶体法。本发明基于上述方法的一种开发了多工器/分解多工器以将入射光分解成系统所需的波长。本发明的第三方面涉及基于TS模糊模型的改进回归方法以更精确地检测血液中葡萄糖水平。所述回归法为线性回归和最小二乘回归。
Description
发明背景
本发明领域为生物电子。基于吸收的非侵入式葡萄糖计的缺陷是精度不够，而替代条带仪精度是必需，确保检测结果准确和安全。本发明提供了问题的解决方案。实际上，本发明设计了一种新的二极管：光子晶体二极管，可将光分解成多个波长。因此，可以分配几个二极管来测量对糖尿病的医学分析所需的所有指标的浓度。
此外，可以利用多个波长以实现在血液中的葡萄糖浓度的测量的高精度。
本发明开发了基于模糊逻辑的光吸收的新数学模型，能够根据被吸收的波长的脆弱性以高精度测量血液浓度中各化学元素的比例。
详细说明
利用血液中化学元素的吸收特性，通过指纹进行医学分析，根据熊-朗伯定律来计算血液中这些元素的浓度。实际上，本发明通过光子晶体技术设计了新的光子晶体二极管或绝缘体上硅(绝缘体上硅)能够通过波长分散光。本技术的优点是通过吸收同时测量几种化学元素的浓度。此外，本发明公开了基于模糊逻辑控制的新的吸收数学模型。
所述模型通过使用一系列波长能够以高精度测量血液中的葡萄糖水平。该模型的优点是在降低了错误率的同时可检测血液中的一系列化学元素的和浓度。通过蒙特卡罗仿真确定组织中的光子路径长度实现葡萄糖水平检测的高精度。在所有步骤中采用吸收的模糊逻辑模型。此外，所述模型可确定在计算血液中葡萄糖水平时使用的线性或其它回归函数。
相应地，基于通过本方法自动获得的结果结合医生观察，根据血液中葡萄糖水平和血液中脂肪水平，确定对相关慢性病适当的医疗方案。
附图简要说明
图1示出了基于光子晶体技术或绝缘体上硅的所提出的二极管的原理。可以观察到如何将光分散在一组波长中，血液中的化学成分吸收经过处理的波长。
图1.光子晶体二极管分散光
图2示出了基于新光子晶体二极管的建议的系统检测和允许对血液中的每一成份的控制的所提出的模糊逻辑模型，以便对糖尿病和其他疾病进行中间分析
详细说明
根据熊朗伯定律，通过吸收规律进行中间分析，用于测量血液中化学元素浓度。实际上，本发明公开了一种允许在一组波长中分散入射光的新型光子晶体二极管。相应地，可以通过对每一成份吸收的相应波长进行测量以确定其在血液中的浓度。通过数学方法，本发明公开了基于TS模糊逻辑的吸收模型，以高精度测定血液中各元素的比例。此外，我们可以使用该模型或通过一组波长测量葡萄糖水平。为实现葡萄糖水平检测更高的精度，通过蒙特卡罗仿真确定组织中的光子路径长度。在所有步骤中均采用模糊逻辑模型。此外，本发明采用所述模型确定用于计算葡萄糖水平的线性或其它回归函数。
Claims (12)
1.一种基于TS模糊逻辑的吸收模型以根据熊朗伯定律实现高精度检测及控制血液中葡萄糖水平和其他成份的非侵入性仪器。
2.一种基于光子晶体技术或绝缘体上硅的新二极管，实现将光分散到一系列波长，以控制血液中各成份的吸收。
3.一种吸收的数学模型，以实现高精度地检测血液中各成份的水平，所述检测结果用于糖尿病和其他疾病的中间分析。所述模型通过一系列的波长测量血液中的葡萄糖水平。本方法的优点是采用非侵入性技术能高精度地检测葡萄糖水平或其他成份。此外，本发明可同时检测血液中几种成份。
4.一种采用蒙特卡洛仿真法检测组织内光子路径长度的方法。所述TS模糊模型可确定路径长度。
5.一种采用吸收技术通过指纹实现血液中基本和其他成份比例的必需检测和认定的方法。
6.一种基于上述方法的检测成份吸收并从而确定适当治疗方案的电子医生系统。
7.一种通过光吸收技术检测感染性疾病的方法。
8.一种通过光吸收技术检测血液中葡萄糖和脂肪水平的方法。
9.一种通过光吸收技术检测夫妻之间基因连接并通过性别兼容性在婚前确定婴儿可能出现的主要特征。
10.一种通过光吸收技术检测胎儿的方法。
11.一种通过光吸收技术进行孕期检测的方法。
12.一种通过光吸收技术发现注射毒品的方法。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/IB2015/050124 WO2016110745A1 (en) | 2015-01-07 | 2015-01-07 | Non-invasive medical analysis based on ts fuzzy control |
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| CN109475329A true CN109475329A (zh) | 2019-03-15 |
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| CN201580077553.XA Pending CN109475329A (zh) | 2015-01-07 | 2015-01-07 | 基于ts模糊控制的非侵入性医疗分析方法 |
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| US (1) | US20170340291A1 (zh) |
| CN (1) | CN109475329A (zh) |
| WO (1) | WO2016110745A1 (zh) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106297516A (zh) * | 2016-09-28 | 2017-01-04 | 深圳先进技术研究院 | 一种血脂检测建模方法及装置 |
| ES2900099A1 (es) | 2022-01-12 | 2022-03-15 | Univ Madrid Complutense | Método y sistema para predicción de valores de glucosa y generación de alertas de hipoglucemia e hiperglucemia |
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2015
- 2015-01-07 WO PCT/IB2015/050124 patent/WO2016110745A1/en active Application Filing
- 2015-01-07 CN CN201580077553.XA patent/CN109475329A/zh active Pending
- 2015-01-07 US US15/537,850 patent/US20170340291A1/en not_active Abandoned
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| US20170340291A1 (en) | 2017-11-30 |
| WO2016110745A1 (en) | 2016-07-14 |
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