公开(公告)号：US08106361B2

公开(公告)日：2012-01-31

申请号：US12041306

申请日：2008-03-03

Applicant: Roman Benes

Inventor： Roman Benes

IPC: G01J5/02

CPC classification number: G01N21/05 ,  G01J3/02 ,  G01J3/0272 ,  G01J3/10 ,  G01J3/42 ,  G01N21/0332 ,  G01N21/314 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/143 ,  G01N33/146 ,  G01N2021/3148 ,  G01N2021/3181 ,  G01N2201/0221 ,  G01N2201/0624 ,  G01N2201/0627 ,  G01N2201/129

Abstract: A method determines an alcohol content of liquids that contain at least water and alcohol as well as sugar or similar substances, in the liquid. The liquid is located in an analysis cell is irradiated by an IR-LED light source, which emits infrared radiation with λ=1000-1500 nm. The IR light absorption is measured at least two different wavelengths, and the measurement values are converted into data on the alcohol content of the liquid. The liquid is irradiated with a first IR radiation with a wavelength λ1, where the absorption coefficient of the alcohol, and the absorption coefficient of the water, are identical in magnitude, and with at least a second IR radiation with a wavelength λ2, where the absorption coefficients and are different. The absorption measurement values determined by an IR detector are applied to a calculating unit for the calculation of the alcohol content.

Abstract translation: 一种方法确定在液体中至少含有水和醇以及糖或类似物质的液体的醇含量。 位于分析单元中的液体由发射λ= 1000-1500nm的红外辐射的IR-LED光源照射。 IR光吸收测量至少两个不同的波长，并且将测量值转换成关于液体的醇含量的数据。 用波长为λ1的第一IR辐射照射液体，其中醇的吸收系数和水的吸收系数在幅度上相同，并且与至少第二IR波长λ2辐射，其中 吸收系数不同。 将由IR检测器确定的吸收测量值应用于用于计算酒精含量的计算单元。

公开(公告)号：US20120016818A1

公开(公告)日：2012-01-19

申请号：US13124208

申请日：2009-10-30

Applicant: Mark Hackett ,  Peter Lay ,  Elizabeth Carter ,  Nicholas Hunt ,  Geoges Grau ,  David Gottlieb

Inventor： Mark Hackett ,  Peter Lay ,  Elizabeth Carter ,  Nicholas Hunt ,  Geoges Grau ,  David Gottlieb

IPC: G06F15/18 ,  G06N5/04

CPC classification number: G01N21/65 ,  A61B5/0059 ,  A61B5/4082 ,  A61B5/7267 ,  G01N2201/129 ,  G06K9/00127 ,  G16B40/00

Abstract: A method and system is described for rapidly classifying a sample of a biological fluid, comprising obtaining a spectrum of the biological fluid in response to excitation of the sample in a specified frequency range, and applying a multivariate classifier to one or more spectral regions of the spectrum to classify the biological sample into one class in a set of classes, the classes comprising at least two disease states having similar clinical symptoms. Methods and systems for developing the classifiers are also described. In one example the classification uses a vibrational spectrometer (5) to provide spectra from serum. The multivariate classifier may run on processor (9) to distinguish between disease states having similar clinical symptoms, such as malaria and cerebral malaria.

Abstract translation: 描述了用于快速分类生物流体样品的方法和系统，包括响应于在特定频率范围内的样品的激发而获得生物流体的光谱，以及将多变量分类器应用于所述生物流体的一个或多个光谱区域 光谱将生物样品分成一组中的一类，该类包含至少两种具有相似临床症状的疾病状态。 还描述了用于开发分类器的方法和系统。 在一个示例中，分类使用振动光谱仪（5）来提供来自血清的光谱。 多变量分类器可以在处理器（9）上运行以区分具有类似临床症状的疾病状态，例如疟疾和脑疟疾。

公开(公告)号：US08095193B2

公开(公告)日：2012-01-10

申请号：US11393341

申请日：2006-03-30

Applicant: Trent Ridder ,  Ben ver Steeg ,  James McNally

Inventor： Trent Ridder ,  Ben ver Steeg ,  James McNally

IPC: A61B5/1455 ,  G08B13/14

CPC classification number: A61B5/0059 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/0088 ,  A61B5/117 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/7264 ,  G01J3/02 ,  G01J3/0218 ,  G01J3/0291 ,  G01N21/274 ,  G01N21/35 ,  G01N21/359 ,  G01N21/474 ,  G01N2201/129

Abstract: The present invention relates generally to non-invasive methods and apparatuses for determining analyte properties of a subject and identity characteristics of a subject. Embodiments of the present invention provide analyte property determination and identity determination or verification from the same spectroscopic information, making unauthorized use or misleading results less likely that in systems that include separate analyte and identity determinations. The invention can be used to prevent operation of automobiles or other equipment unless the operator has an acceptable alcohol concentration, and to limit operation of automobiles or other equipment to authorized individuals who are not intoxicated or drug-impaired.

Abstract translation: 本发明一般涉及用于确定受试者的分析物特性和受试者身份特征的非侵入性方法和装置。 本发明的实施方案提供了来自相同光谱信息的分析物质性质确定和鉴别确认或验证，使得在包括单独的分析物和身份确定的系统中不太可能使用未经授权的使用或误导结果。 本发明可以用于防止汽车或其他设备的操作，除非操作人员具有可接受的酒精浓度，并且将汽车或其他设备的操作限制于不会中毒或药物受损的授权个人。

公开(公告)号：US08069377B2

公开(公告)日：2011-11-29

申请号：US11821469

申请日：2007-06-22

Applicant: Anant Pratap Singh

Inventor： Anant Pratap Singh

IPC: G11C29/00

CPC classification number: G11C29/846 ,  G01N2201/129 ,  G06F11/1048 ,  G11C7/1006 ,  G11C2029/0409 ,  G11C2207/104

Abstract: An integrated circuit device (for example, a logic device or a memory device (such as, a discrete memory device)), including a memory cell array having a plurality of memory cells arranged in a matrix of rows and columns, multiplexer circuitry, coupled to the memory cell array, wherein the multiplexer circuitry includes a plurality of data multiplexers, each data multiplexer having a plurality of inputs, including (i) a first input to receive write data which is representative of data to be written into the memory cells of the memory cell array in response to a write operation, and (ii) a second input to receive read data which is representative of data read from memory cells of the memory cell array, and an associated output to responsively output data from one of the plurality of inputs, and syndrome generation circuitry, coupled to the multiplexer circuitry, to generate: (i) a write data syndrome vector using the write data and (ii) a read data syndrome vector using the read data.

Abstract translation: 集成电路器件（例如，逻辑器件或存储器件（例如，分立存储器件）），包括具有排列成行和列的矩阵的多个存储单元的存储单元阵列，多路复用器电路 其中所述多路复用器电路包括多个数据多路复用器，每个数据多路复用器具有多个输入，所述多个输入包括（i）第一输入以接收写数据，所述第一输入代表要写入到所述存储器单元的存储器单元中的数据 所述存储单元阵列响应于写入操作，以及（ii）第二输入端，用于接收表示从所述存储单元阵列的存储器单元读取的数据的读取数据，以及相关联的输出以响应于从所述多个存储单元阵列中的一个输出数据 耦合到多路复用器电路的输入和校正子产生电路，以产生：（i）使用该读数据的写数据校正子向量和（ii）使用该读数据的读数据校正子向量。

公开(公告)号：US20110237911A1

公开(公告)日：2011-09-29

申请号：US13073778

申请日：2011-03-28

Applicant: Marcelo M. Lamego ,  Mohamed Diab ,  Walter M. Weber ,  Ammar Al-Ali ,  Massi Joe E. Kiani

Inventor： Marcelo M. Lamego ,  Mohamed Diab ,  Walter M. Weber ,  Ammar Al-Ali ,  Massi Joe E. Kiani

IPC: A61B5/1455

CPC classification number: G01N21/314 ,  A61B5/02416 ,  A61B5/14551 ,  A61B5/6826 ,  A61B5/6838 ,  G01N21/35 ,  G01N2021/3144 ,  G01N2201/0627 ,  G01N2201/129

Abstract: A physiological monitor for determining blood oxygen saturation of a medical patient includes a sensor, a signal processor and a display. The sensor includes at least three light emitting diodes. Each light emitting diode is adapted to emit light of a different wavelength. The sensor also includes a detector, where the detector is adapted to receive light from the three light emitting diodes after being attenuated by tissue. The detector generates an output signal based at least in part upon the received light. The signal processor determines blood oxygen saturation based at least upon the output signal, and the display provides an indication of the blood oxygen saturation.

Abstract translation: 用于确定医疗患者的血氧饱和度的生理监测器包括传感器，信号处理器和显示器。 传感器包括至少三个发光二极管。 每个发光二极管适于发射不同波长的光。 传感器还包括检测器，其中检测器适于在被组织衰减之后接收来自三个发光二极管的光。 检测器至少部分地基于所接收的光产生输出信号。 信号处理器至少基于输出信号确定血氧饱和度，并且显示器提供血氧饱和度的指示。

公开(公告)号：US08023690B2

公开(公告)日：2011-09-20

申请号：US11669616

申请日：2007-01-31

Applicant: Rocco DiFoggio ,  Raman Viswanathan ,  Jeffery W. Fontenot

Inventor： Rocco DiFoggio ,  Raman Viswanathan ,  Jeffery W. Fontenot

IPC: G06K9/00

CPC classification number: G01J3/02 ,  G01J3/0218 ,  G01J3/26 ,  G01J3/42 ,  G01N21/35 ,  G01N21/3504 ,  G01N21/3577 ,  G01N21/552 ,  G01N21/8507 ,  G01N2201/0691 ,  G01N2201/129

Abstract: The disclosure, in one aspect, provides a method for providing an image of a fluid that includes passing light through the fluid, detecting light passing through the fluid at at least one wavelength and producing signals corresponding to the detected light, and processing the signals to provide the image of the fluid.

Abstract translation: 在一个方面，本发明提供了一种用于提供流体的图像的方法，该方法包括使光通过流体，以至少一个波长检测通过流体的光并产生对应于检测到的光的信号，并将信号处理 提供流体的图像。

公开(公告)号：US20110168897A1

公开(公告)日：2011-07-14

申请号：US12933960

申请日：2009-03-30

Applicant: Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

Inventor： Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

IPC: A61B5/00

CPC classification number: A61B5/0075 ,  G01N21/3563 ,  G01N21/552 ,  G01N2021/3595 ,  G01N2201/129

Abstract: Reliable and rapid diagnostic methods for many functional syndromes (FS) such as Bladder Pain Syndrome/Interstitial Cystitis (IC) are not available. Exemplary embodiments include rapid and accurate methods for diagnosing FS in humans and domestic cats using infrared microspectroscopy (IRMS). Exemplary methods utilize Soft Independent Modeling by Class Analogy (SIMCA) to create classification models. Exemplary methods utilize classification models to classify a test subject's condition (e.g., healthy/sick). Using these classification models, various embodiments enable diagnosis based on spectra data from a fluid biomedical specimen. Exemplary embodiments may be useful to rapidly diagnose IC and various other conditions in humans, cats, and/or other mammals.

Abstract translation: 许多功能综合征（FS）如膀胱疼痛综合征/间质性膀胱炎（IC）的可靠和快速的诊断方法不可用。 示例性实施例包括使用红外显微光谱（IRMS）在人类和家猫诊断FS的快速且准确的方法。 典型的方法利用类别模拟软件独立建模（SIMCA）来创建分类模型。 示例性方法利用分类模型来对测试对象的状况进行分类（例如，健康/生病）。 使用这些分类模型，各种实施例使得能够基于来自流体生物医学样本的光谱数据进行诊断。 示例性实施方案可用于快速诊断人类，猫和/或其他哺乳动物中的IC和各种其它条件。

公开(公告)号：US07897923B2

公开(公告)日：2011-03-01

申请号：US12164025

申请日：2008-06-28

Applicant: Paul Shelley ,  Greg Werner

Inventor： Paul Shelley ,  Greg Werner

IPC: G01N21/93 ,  G01N21/896 ,  G01J3/02 ,  G01J5/52 ,  G01J3/42

CPC classification number: G01N21/3563 ,  G01N21/278 ,  G01N2021/8472 ,  G01N2201/0221 ,  G01N2201/129

Abstract: A method of non-destructively determining the physical property of a material surface, the method including irradiating a surface with infrared energy over a spectrum of wavelengths; detecting said infrared energy reflected from said surface over said spectrum of wavelengths; performing multivariate calibration of said reflected infrared energy at a plurality of selected wavelengths including said spectrum of wavelengths; using results of said multivariate calibration to predict one or more physical properties of said model material; and, determining said one or more physical properties of said surface. Details are included for the case where uni-directional fiber CFRP materials are to be calibrated and predicted because special care must be taken for that material to insure the incident light from the spectrometer is at the proper orientation for calibration and for prediction of samples in question.

Abstract translation: 一种非破坏性地确定材料表面的物理性质的方法，所述方法包括在波长范围上用红外能量照射表面; 检测在所述波长波长上从所述表面反射的所述红外能量; 在包括所述波长光谱的多个选定波长下执行所述反射的红外能量的多变量校准; 使用所述多变量校准的结果来预测所述模型材料的一种或多种物理性质; 以及确定所述表面的所述一种或多种物理性质。 包括对于单向纤维CFRP材料进行校准和预测的情况的细节，因为必须特别注意该材料以确保来自光谱仪的入射光处于正确的校准方向并用于预测样品的问题 。

公开(公告)号：US20100045969A1

公开(公告)日：2010-02-25

申请号：US12083163

申请日：2006-10-06

Applicant: Kenneth W. Busch ,  Jemina Rose Ingle ,  Marianna Busch

Inventor： Kenneth W. Busch ,  Jemina Rose Ingle ,  Marianna Busch

IPC: G01N21/33 ,  G01N21/65 ,  G01N21/64 ,  G01R33/46

CPC classification number: G01N21/33 ,  G01N21/64 ,  G01N21/65 ,  G01N2021/6417 ,  G01N2201/129

Abstract: A new strategy for the quantitative determination of enantiomeric purity that combines guest-host complexation, spectroscopy, and chemometric modeling. Spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-1”) regression. The PLS-1 regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity. In this strategy, the concentration of the chiral compound does not have to be fixed or known.

Abstract translation: 用于定量测定对映体纯度的新策略，其结合客体主体络合，光谱学和化学计量学建模。 对已知对映异构体组合物的样品的光谱数据进行一种称为偏最小二乘法（“PLS-1”）回归的多变量回归模型。 PLS-1回归产生一个数学模型，可用于预测未知对映体纯度的一组样品的对映异构体组成。 在该策略中，手性化合物的浓度不必是固定的或已知的。

公开(公告)号：US07663107B2

公开(公告)日：2010-02-16

申请号：US10559107

申请日：2004-05-24

Applicant: Philip F. Taday

Inventor： Philip F. Taday

IPC: G01J5/02

CPC classification number: G01N21/3581 ,  G01N21/3554 ,  G01N21/3563 ,  G01N21/3586 ,  G01N22/00 ,  G01N2201/129

Abstract: A method of quantitatively analysing a sample, the method comprising: irradiating the sample with radiation having a plurality of frequencies in the range from 25 GHz to 100 THz; detecting radiation reflected from and/or transmitted by said sample to obtain a frequency domain waveform of said sample; identifying at least one section of interest of said frequency domain wave-form containing spectral features due to intermolecular or other non-intramolecular excitations; and obtaining a value related to the concentration of a component of the sample from the said section.

Abstract translation: 一种定量分析样品的方法，所述方法包括：用具有25GHz至100THz范围内的多个频率的辐射照射所述样品; 检测由所述样品反射和/或透射的辐射，以获得所述样品的频域波形; 识别由于分子间或其他非分子内激发而包含光谱特征的所述频域波形的至少一个感兴趣部分; 并且从所述部分获得与样品的成分浓度相关的值。