635 results about "Near-infrared spectroscopy" patented technology

The invention involves the monitoring of a biological parameter through a compact analyzer. The preferred apparatus is a spectrometer based system that is attached continuously or semi-continuously to a human subject and collects spectral measurements that are used to determine a biological parameter in the sampled tissue. The preferred target analyze is glucose. The preferred analyzer is a near-IR based glucose analyzer for determining the glucose concentration in the body.

Methods and apparatus for measuring cerebral O₂ saturation and detecting cerebral hypoxia-ischemia using multi-wavelength near infrared spectroscopy (NIRS). Near-infrared light produced by an emitter is directed through brain tissue. The intensity of the light that passes through the brain tissue is measured using photodiode detectors positioned at distinct distances from the emitter. This process is conducted for at least three wavelengths of near-infrared light. One of the wavelengths used is substantially at an isobestic point for oxy-hemoglobin and deoxy-hemoglobin, but the other two may be any wavelengths within the near-infrared spectrum (700 nm to 900 nm), so long as one of the additional wavelengths is greater than the isobestic point and the other is less than the isobestic point. Tissue oxygenation is calculated using an algorithm derived from the Beer-Lambert law. Cerebral hypoxia-ischemia may be diagnosed using the calculated tissue oxygenation value.

A dressing system is disclosed which has a sponge and a near infrared spectroscopy sensor positioned adjacent to the sponge for monitoring oxygenation levels of tissue adjacent to the sponge. The dressing system may further include a tube coupled to the sponge for removing fluid from the sponge. The dressing system comprises: a sponge; and a tensioning system coupled to the sponge. The tensioning system further comprises a central longitudinal member coupled to the sponge; and at least one tensioning member coupled to the central longitudinal member. A sequential compression system comprises: an envelope sleeve dressing; and a bladder that is both expandable and retractable. A tissue filler system is also described and includes a plurality of tubes; wherein each of the plurality of tubes further comprises apertures; and a pump coupled to at least one of the tubes which obviates the need for any sponge or wound screen.

A respiratory monitoring apparatus that detects changes in physiological parameters relevant to respiration, including blood oxygen and blood volume, using near infrared spectroscopy. Methods for diagnosing respiratory-related events including hypoxia index, hypopnea, arousal, tissue oxygen debt, and respiratory muscle events or distinguishing central from obstructive sleep apnea are also disclosed.

A method and system for producing improved more accurate measurements of oxyhemoglobin levels in tissue when measured using near infrared spectroscopy (NIRS). Light sources and processing methods are selected to such that the effects of a confounding chromophore in the tissue under study are minimized.

The present invention relates to a convergent parameter instrument and method for performing real-time imaging using multiple imaging techniques. More particularly, the present invention relates to a handheld convergent parameter instrument providing some or preferably all of real-time imaging, including surface mapping, color imaging, perfusion imaging, thermal imaging, and near infrared spectroscopy, and including a common control set and a common display.

The invention relates to a method for rapidly detecting the content of index components of Chinese medicinal materials by using near-infrared spectroscopy technology, which can realize the rapid detection of the comprehensive quality of Chinese medicinal materials. Collect the sample, collect the near-infrared diffuse reflectance spectrum of the sample, and preprocess the obtained spectrum, then use the detection method corresponding to the sample in the conventional method to measure the content of its index components, and combine the spectrum with the content of the index components, The quantitative analysis model is established by adopting the chemometrics method suitable for the analysis of the components of traditional Chinese medicine, the sample to be tested is crushed, and its near-infrared spectrum is scanned, and the spectrum is input into the quantitative analysis model to measure the content of the index components in the Chinese medicinal material. The whole process takes a short time, is fast and accurate, can be measured online, improves production efficiency, greatly saves manpower and material resources, and can generate huge economic and social benefits.

A method and apparatus for assessment of hemodynamic and functional state of the brain is disclosed. In one embodiment, the method and apparatus includes non-invasive measurement of intracranial pressure, assessment of the brain's electrical activity, and measurement of cerebral blood flow. In some embodiments, the method and apparatus include measuring the volume change in the intracranial vessels with a near-infrared spectroscopy or other optical method, measuring the volume change in the intracranial vessels with rheoencephalography or other electrical method, and measuring the brain's electrical activity using electroencephalography.

A method is disclosed to verify and identify pharmaceutical products through their product signatures in order to combat counterfeiting and reduce dispensing errors, using methods such as near infrared spectroscopy. Furthermore, in order actively evade pharmaceutical product counterfeiting, a method is disclosed where an amount of one or more of the inactive ingredients is varied over time; the variation provides a different product signature, but falling within a level deemed permissible by a regulatory body.

The present invention provides a photometric reference member comprising PTFE and glass. The member exhibits an absorbance change of less than 0.0001 absorbance units per degree C. over a range of temperatures, preferably from about 20° C. to about 40° C., and over wavelengths from about 600 nm to about 1650 nm, preferably about 600 nm to about 1050 nm. The invention also pertains to methods of using the photometric reference member to correct for temperature variations or drift in absorbance measurements.

The apparatus for evaluating biological function of the present invention has living body probes 1, a behavioral information measuring part 2 and an apparatus body 3, and it utilizes near-infrared spectroscopy to evaluate biological function; apparatus body 3 has a controller 8 for calculating (based on light information from living body probes 1) a variety of parameters derived from two-dimensional diagrams showing relationships between changes in oxyhemoglobin and changes in deoxyhemoglobin and two-dimensional diagrams showing relationships between absolute amounts of oxyhemoglobin and absolute amounts of deoxyhemoglobin, a behavioral information input part for entering behavioral information measured by means of behavioral information measuring part 12, and a display part 10 for performing various types of image displays based on various parameters calculated by means of controller 8 and/or behavioral information entered in the behavioral information input part.

The present invention describes a unique method and apparatus for applying near-infrared spectroscopy to estimate weight percent of methane in crude oil from which one can then infer gas-oil ratio (GOR) of crude oils downhole in real time while collecting a fluid sample. The correlation equations provided by this invention use two wavelengths, one centered at 1670 and the other centered at 1682 nm. Both wavelengths are primarily sensitive to the methane peak absorption. To significantly improve the fit, non-spectroscopic parameters, such as temperature or pressure, can be included in the correlation equation. Also, this invention can be used to monitor sample cleanup by monitoring the increase in GOR associated with cleanup as a fluid being pumped from the formation transitions from mostly gas-free filtrate to mostly gas-containing crude oil.

The invention relates to a method for diagnosing the crop water deficit through a hyperspectral image technology, and especially relates to a method for diagnosing the Lycopersicon esculentum Mill. leaf area water based on hyperspectral images. The method comprises the following steps: 1, acquiring Lycopersicon esculentum Mill. leaf hyperspectral image data through a self-constructed hyperspectral imaging system; 2, selecting a characteristic wavelength by optimizing through an adaptive band selection process to realize multidimensional datum dimensionality reduction; 3, dividing the image ofeach sample at the characteristic wave, counter-rotating, carrying out form operation to obtain a target image, and extracting the leaf gray level and the leaf texture characteristic from the target image; and 4, selecting an optimal characteristic subclass through a GA-PLS (genetic algorithm-partial least square) process by fusing the gray scale and the texture characteristic and aiming at ten characteristic variables, and establishing a partial least square regression model based on the optimal characteristic, wherein the correlation coefficient R between a predicted value and a measured value of the model is 0.902. Compared with routine detection methods, the method of the invention has the advantages of rapid detection speed, and simple and convenient operation; and compared with a single near infrared spectroscopy or computer vision technical means, the method of the invention allows obtained information to be comprehensive, and the accuracy and the stability of the detection result to be improved.

Disclosed is a FT-IR spectroscopy method for the determination of the wax precipitation temperature, and the estimation of the amount of precipitated solid wax material (both crystalline and amorphous) present in a liquid hydrocarbon, such as a petroleum crude oil.

A non-invasive tool for skin disease diagnosis would be a useful clinical adjunct. The purpose of this study was to determine whether visible/near-infrared spectroscopy can be used to non-invasively characterize skin diseases. In-vivo visible- and near-infrared spectra (400-2500 nm) of skin neoplasms (actinic keratoses, basal cell carcinomata, banal common acquired melanocytic nevi, dysplastic melanocytic nevi, actinic lentigines and seborrheic keratoses) were collected by placing a fiber optic probe on the skin. Paired t-tests, repeated measures analysis of variance and linear discriminant analysis were used to determine whether significant spectral differences existed and whether spectra could be classified according to lesion type. Paired t-tests showed significant differences (p<0.05) between normal skin and skin lesions in several areas of the visible/near-infrared spectrum. In addition, significant differences were found between the lesion groups by analysis of variance. Linear discriminant analysis classified spectra from benign lesions compared to pre-malignant or malignant lesions with high accuracy. Visible/near-infrared spectroscopy is a promising non-invasive technique for the screening of skin diseases.

The invention relates to a rapid and convenient method for testing the quality of honey and the application thereof. The main steps are as follows: (1) a honey sample is collected; (2) the contents of water, glucose and fructose and the amylase value of the honey sample are obtained by a routine chemical method; (3) a near infrared spectrum of the honey sample is collected; (4) the preprocess of the near infrared spectrum is carried out, the interference factors are eliminated and the wavelength range is selected; (5) calibration models among the contents of water, glucose and fructose, the amylase value and the near infrared spectrum of the honey sample are respectively built and tested; (6) the near infrared spectrum of the sample to be tested is collected; (7) the contents of water, glucose and fructose and the amylase value of the sample to be tested are predicted by using the built models. The invention has the advantages of simple pretreatment, rapid analyzing speed, environmental protection, etc. Moreover, the contents of water, glucose and fructose and amylase value in the honey can be predicted with reliable and ideal result.

The invention relates to a method for rapidly detecting adulteration of olive oil, particularly relating to a method for detecting the adulteration of the olive oil by combing a near-infrared spectroscopy with a principal component analysis-radial basis function neural network method, and mainly being used for solved the technical problems that the suitable detection method does not exist at home and abroad, the detection time is too long and the detection process is cockamamie. The detection method of the invention comprises the following detecting steps: putting a sample in a 5mm-detection cell and carrying out spectrum acquisition by the near-infrared transmission spectroscopy, wherein the scanning range is 12000cm-1-3700cm-1, the resolution ratio is 4cm-1, and the number of times of the scanning is 32; taking the average value after each sample is repeatedly detected for 5 times; selecting the spectrum wave band within 12000 to 5390cm-1 to carry out pretreatments of baseline correction and vector standardization on the original spectrum; extracting the principal components for the pretreated spectrum data by a principal component analysis method; establishing a model of a radial basis function (RBF) neural network after the principal component is extracted; and acquiring the near infrared spectrum of a sample to be detected and carrying out forecasting by the established model. By using the detection method of the invention, the olive oil can visually distinguished from the adulterated olive oil.

Detection of a person disguised with one or more artificial materials includes detecting reflection from at least one portion of a head of a human body in at least a portion of an upper band of the near infrared spectrum. The presence of an artificial material associated with the head of the human body is determined based on the detected reflection.

The present invention is capable of separating/removing the influence of skin blood flow contained in near infrared spectroscopy (NIRS) signals and extracting a brain- or brain cortex-origin signal. Moreover, the present invention enables versatile separation of brain-origin and skin-origin signals in view of differences among individuals. A biological photometric device, wherein light transmitters and light receivers are located in such a manner that measurement can be conducted at a plurality of source-detector (SD) distances and light received by the individual light-receivers can pass through the gray matter to thereby separate a brain-origin signal and a skin-origin signal. Individual component analysis (ICA) is conducted on data obtained at the individual measurement points. Then, it is determined whether each individual component originates in the brain or in the skin with the use of the SD distance-dependency of the weighted value of each of the separated components.

The invention provides a quick detection method for detecting the content of various compositions in honey by utilization of a mathematical model between a near infrared spectrum of the honey and the contents of the various compositions of the honey, in order to overcome the defects of complex operation and labor and time consumption in a chemical and chromatographic analysis method for detecting the quality of the honey. The quick detection method for the quality of the honey is as follows: firstly, obtaining a honey sample in the homogeneous fluid state; secondly, acquiring the near infrared spectrum; and thirdly, converting the near infrared spectrum acquired into the quality parameter of the honey by utilization of the mathematical model. The quick detection method for the quality of the honey can quickly and accurately detect the contents of water, soluble solid content, organic acid, fructose, glucose, sucrose and maltose in the honey.