56 results about "Deoxy hemoglobin" patented technology

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.

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 invention provides a method and system for measuring skin physiology parameters and optical property parameters based on reflective spectral measurement. The measuring system is composed of measuring equipment for a skin reflection spectrum and a computation and display device. By utilizing an analysis method of combining experimental data with the Monte Carlo simulation, the measuring system provides more accurate corresponding data of reflection light intensity and skin optical property; during the practical measurement of sample skin, on the basis of a practically measured reflection spectrum, the data and more physiology parameters are calculated and fit to obtain the skin physiology parameters and the optical property parameters based on reflective spectral measurement; finally, the optical property parameters of the skin adsorption coefficient mu a, a reduction scattering coefficient mu s' and the like as well as physiological information, such as melanin content, deoxygenated haemoglobin content, oxygenated haemoglobin content, moisture content and the like are also measured are measured in real time in a non-invasive and lossless mode.

A method of measuring the stress or relaxation level of a mammal and a method of measuring the activity of the sympathetic nervous system of a mammal by measuring quantititative levels of deoxyhemoglobin and oxyhemoglobin are disclosed. Preferably, the levels of deoxyhemoglobin and hemoglobin are measured by a noninvasive technique, such as spectroscopy. A method of changing the activity of the sympathetic nervous system of a mammal is also disclosed, wherein the method includes a step of administering an effective amount of sensory regimen to the mammal. The method is useful for humans who are operating vehicles or machinery, who are suffering from cardiovascular disease or related complications, who are pregnant, or who are preparing for sleep. In addition, a method of improving the complexion of the skin of a mammal is disclosed.

The invention discloses an electrocerebral and near-infrared combined drug addiction assessment method. A PC host is responsible for operation of all module software programs, and an experimental paradigm module is composed of an Eprime experimental paradigm program, designed for patients abstained from drugs, induces activation of neurons in different brain regions of a brain through a specific stimulated picture presentation pattern to generate relevant brain activity information, and transmits the relevant brain activity information to an electrocerebral collection module and a near-infrared collection module; the electrocerebral collection module collects electrocerebral signals in the brain activity information under the effect of the Eprime experimental paradigm program through TCP / IP; the near-infrared collection module collects oxyhemoglobin signals and deoxyhemoglobin signals in the brain activity information under the effect of the Eprime experimental paradigm program; and anassessment algorithm module identifies and assesses the severity degree of drug addiction of the patients abstained from the drugs by adopting a support vector machine classifier through informationobtained by the electrocerebral collection module and the near-infrared collection module.

The invention discloses a non-invasive monitoring method and a monitoring device for cerebral blood oxygen, and develops a non-invasive monitoring method for blood oxygen saturation of local tissues of a human brain by utilizing different absorbances of oxyhemoglobin and deoxidized hemoglobin to near-infrared light, so that the method does not cause harm to a human body; continuous real-time monitoring of the cerebral blood oxygen value can be achieved through a continuous cerebral blood oxygen value prediction model, the influence of melanin is considered, correction factors are added, surface interference signals and deep useful signals are detected respectively, the content of the collected signals is richer, and the cerebral blood oxygen signals with the high signal-to-noise ratio canbe obtained through processing conveniently; further, the cerebral forehead lobe area local oxyhemoglobin saturation monitoring value without the human head tissue interference signal is solved, so that the cerebral oxyhemoglobin continuous monitoring stability is better, and the monitoring precision is higher. A new solution is provided for non-invasive monitoring of cerebral blood oxygen, and clinical application of non-invasive monitoring of cerebral blood oxygen can be better promoted.

A method for functional magnetic resonance imaging (fMRI) uses steady-state free precession (SSFP) to image changes in blood oxygenation between two time periods. A center frequency of the SSFP sequence is placed between the different resonant frequencies for oxyhemoglobin and deoxyhemoglobin whereby the signals have a phase difference of 180° and tend to cancel. By repeating the SSFP imaging sequence at different times, the difference in the measured signals provides a measure of change in oxyhemoglobin. RF flip angle of the SSFP sequence is chosen to maximize signal level in the frequency range from that of water in the presence of oxyhemoglobin and that of water in the presence of deoxyhemoglobin.

A quantitative, non-invasive optical spectroscopy technique for measuring dynamic changes in adipose tissue structure and metabolism in vivo. The technique requires multiple wavelengths of light in the near-infrared (650-1000 nm). Using these wavelengths of light, adipose tissue is illuminated and light that returns to a photodetector is analyzed. From the return signals, the absorption and reduced scattering coefficients (μa and μs′) at each wavelength are calculated. The obtained pa and μs′ values allow for quantification of biomarkers and indices which allow for measurement of fat composition and metabolism. The concentration of oxy- and deoxy-hemoglobin, the fractional water and lipid content, and information about the size distribution of light scatterers in the adipose tissue are also determined. A detailed and quantitative understanding of fat composition and metabolism is thereby provided which describes the effectiveness of interventions to improve the health of a patient.

The invention discloses a near-infrared brain imaging spectrum analysis method, which comprises the following steps of: extracting single-channel full-time-sequence spectrum data of relative concentrations of deoxyhemoglobin and oxyhemoglobin of a plurality of channels in a forehead calibration brain region of a patient under the stimulation of a cognitive task, constructing a detection curve of deoxyhemoglobin and oxyhemoglobin according to the spectrum data; sampling the detection curve, conducting zoning sampling with the total detection time T as the horizontal axis, and conducting normalization processing on the longitudinal axis, so as to obtain a final data set; and constructing a neural network algorithm model according to the standard map curve, respectively inputting the final data sets of the plurality of channels into the neural network algorithm model, judging the proportion of the standard map in the detection curve corresponding to the plurality of channels, and obtaining a judgment result according to a preset corresponding relationship between the preset proportion and the plurality of standard maps. The near-infrared brain imaging spectrum analysis method provided by the invention can provide reference for clinical diagnosis.

The invention discloses a method and device for measuring oxygen-containing hemoglobin and deoxygenated hemoglobin and equipment. The device comprises a near-infrared emission module, a near-infraredreceiving module and a controller, wherein the near-infrared emission module is used for emitting near-infrared light of target compound waveforms to the tested cerebral cortex, the near-infrared receiving module is used for receiving a luminous intensity signal, reflected by the tested cerebral cortex, of the near-infrared light, and the controller is used for receiving target measuring requirement parameters, adjusting the near-infrared light waveforms emitted by the near-infrared emission module according to the target measuring requirement parameters to obtain the target compound waveforms, controlling the near-infrared emission module to emit the near-infrared light according to the target compound waveforms, receiving luminous intensity information output by the near-infrared receiving module, and measuring oxygen-containing hemoglobin parameters and deoxygenated hemoglobin parameters of the tested cerebral cortex according to the luminous intensity information. In this way, thefunction of dynamically adjusting output waveforms to adapt to different testing items and different testees is achieved, and the using adaptability of products is improved.

A device for measuring brain oxygen level of a subject, including a probe (210) and a detecting means (220), which are respectively coupled to a processor (230). According to the example, the probe (210) includes three light sources (215a, 215b, 215c) that simultaneously emit the first, second, and third NIR wavelengths across the brain of the subject. The first NIR wavelength is the isosbestic wavelength for oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hb), the second NIR wavelength is shorter than the first NIR wavelength, and the third NIR wavelength is longer than the first NIR wavelength. The detecting means (220) includes a first, second and third detectors (221, 222, 223) for respectively detecting the NIR intensities of the first, second and third NIR wavelengths traveled across the brain. The processor (230) is configured to determine blood oxygen level based on the measured NIR intensities of the first, second and third NIR wavelengths by use of build-in algorithm derived from Beer-Lambert Law. And method of detecting brain hematoma of a subject by use of the present device.

The invention discloses an endoscope image processing method based on oxyhemoglobin saturation and multiple central wavelengths, and relates to the field of medical image processing.The method comprises the steps that a first initial image signal, a second initial image signal, a third initial image signal and a fourth initial image signal are obtained; calculating oxyhemoglobin concentration information of the target part according to the second initial image signal and the third initial image signal; calculating deoxidized hemoglobin concentration information of the target part according to the second initial image signal and the fourth initial image signal; calculating the oxyhemoglobin saturation of the target part according to the oxyhemoglobin concentration information and the deoxidized hemoglobin concentration information; performing brightness enhancement on the second initial image signal based on the oxyhemoglobin saturation to obtain a second enhanced image signal; and generating a target image according to the second enhanced image signal, the first initial image signal and the third initial image signal, wherein the target image is used for identifying the bleeding position of the target part.

The invention discloses a dynamic brain function dual-mode imaging system based on fluorescence and photoacoustic tomography, which organically combines the two measurement methods of FMT / PAT, so thatthe source and probe of FMT and PAT are distributed on the same horizontal plane in order to avoid the difference in registration position of joint imaging, to achieve high sensitivity, high spatio-temporal resolution and full-brain range imaging dual-mode multi-parameter dynamic imaging of brain function and to take into account the high sensitivity of FMT in dynamics research and advantages ofPAT in high spatial resolution. PAT provides images of deep cerebral oxygen state related to nerve activity, including oxyhemoglobin concentration, deoxyhemoglobin concentration, blood oxygen saturation, etc. FMT provides fluorescence distribution images and kinetic parameter images, including fluorescence metabolism curves, permeability images, etc. The system has both high resolution of PAT andhigh sensitivity of FMT to realize imaging of cranial nerve activity.

The invention relates to a cognitive state classification method based on EEG-fNIRS spatio-temporal fusion features, which comprises the following steps of: setting an experiment according to a mental calculation experiment normal form, and synchronously acquiring EEG data and fNIRS data of a tested mental calculation task; preprocessing the two collected data to obtain electroencephalogram signal data and hemoglobin concentration change data; eEG signal data and hemoglobin concentration change data are taken, data enhancement is carried out through a time window, then the data are sent to a space-time fusion network, EEG features, oxyhemoglobin HBO features and deoxyhemoglobin HBR features are obtained, fusion features are obtained through fusion, and an EEG classification result, an fNIRS classification result and a fusion feature classification result are obtained. According to the method, the characteristics of the EEG signal and the fNIRS signal are effectively combined, the overfitting problem in modal deep learning is relieved, and cognitive state classification can be accurately carried out.

The invention discloses an fNIRS emotion recognition method and system based on a graph network and adaptive denoising, and the method comprises the steps: enabling fNIRS collection equipment to continuously collect the variable quantity of light intensity before and after transmitting-receiving, converting the variable quantity of the light intensity into the change of absorbance, and further obtaining the relative variable quantity of the concentration of oxyhemoglobin and the concentration of deoxidized hemoglobin; de-noising is carried out through a self-adaptive de-noising network model to obtain a pure signal, an input signal of the self-adaptive de-noising network model is the relative variation of the concentration of the oxyhemoglobin and the concentration of the deoxidized hemoglobin obtained in the previous step, and an output signal of the self-adaptive de-noising network model is the relative variation data of the concentration of the pure oxyhemoglobin and the concentration of the deoxidized hemoglobin; mapping of graph nodes is carried out in combination with probe and channel characteristics, brain topology restoration is carried out by using a graph network, and emotion tags are output in a classified manner through a dynamic graph attention emotion recognition network model. The problems that a brain-computer interface is complex to wear, difficult to operate and the like in practical application at present are solved.

The invention discloses a method for determining human serum folic acid. The method comprises the steps of preparation of experimental water, preparation of a folic acid standard solution, preparation of a lactobacillus rhamnosus growth medium, preparation of lactobacillus rhamnosus, preparation of a detection medium and detection of the serum folic acid. By adopting activated carbon to adsorb organic impurities in water, the purpose of eliminating interferences can be achieved; the folic acid is unstable in chemical property and easily oxidized; ascorbic acid is added in the growth and detection mediums as an antioxidant, so that the oxygen in dissolved blood is reduced as much as possible, so that the content of deoxyhemoglobin is increased, and the effect of protecting the folic acid is achieved; and during detection, a cell culture plate is sealed by a sealing film, so that growth of the lactobacillus rhamnosus is facilitated, and moisture evaporation and oxidation of the folic acid can also be prevented. The method for determining the human serum folic acid provided by the invention is simple and easy to implement, low in price, high in sensitivity, and is more suitable for the folic acid screening needs of large-scale population.

A method for non-contact oxygen saturation prediction based on a hyperspectral camera, according to one embodiment of the present invention, may comprise the steps of: acquiring a hyperspectral image of a subject by using the hyperspectral camera; measuring the absorbance of at least one face region that is detected in consideration of the correlation with a change in oxygen saturation from among the face regions of the subject from the hyperspectral image; determining at least two optimal wavelength bands from among wavelength bands measured by using the hyperspectral camera in consideration of the absorbance of oxyhemoglobin and the absorbance of deoxyhemoglobin; and predicting the oxygen saturation of the subject on the basis of the absorbance of the at least one face region and the at least two optimal wavelength bands.

An embodiment in accordance with the present invention provides a miniature microscope capable of performing in vivo, real-time imaging of multiple organ sites in awake and behaving animals (e.g. rodents). A microscope according to the p resent invention includes multiple optical contrast mechanisms (i.e. contrast arising from neural, hemodynamic and other physiological components). Exemplary contrast mechanisms include, but are not limited to fluorescence, hemoglobin level, deoxyhemoglobin level, and blood flow. The microscope is fully adaptable to in vitro and ex vivo imaging, can be customized to concurrently image at variable magnifications, conduct optogenetic / electrical / chemical stimulations, drug delivery, micro-dialysis, accompanied by electrical signal recording, wireless image transmission and charging.

The invention discloses a hand motion FNIRS signal classification method based on t distribution optimization feature extraction, and the method specifically comprises the steps: employing a portable functional near-infrared collection device to collect an optical density signal of a forehead cortex brain region during the motion execution period during the operation of the device; after pretreatment, the concentration of oxyhemoglobin HBO and the concentration of deoxidized hemoglobin HBR are calculated according to the corrected Beer-Lambert law; according to motion execution and resting state segmentation data, time domain features and time-frequency domain features of oxyhemoglobin concentration data signals of each channel of each experiment test are extracted, and a first feature matrix is formed; performing kernel density estimation and kurtosis and skewness test on the first feature matrix to obtain a second feature matrix, performing t distribution on each corresponding feature satisfying normal distribution in the second feature matrix of the motion execution and resting states, and optimizing feature selection on the basis to obtain an optimized third feature matrix; the optimized third feature matrix is used as classifier input, a brain-computer interface system model training result is obtained, and effective feature selection and extraction are achieved; according to the method, the brain-computer interface system feature extraction of the hand motion FNIRS signals can be optimized, so that the classification performance is improved.

The invention provides a brain-computer interface system based on a direct flight time measurement technology, brain-computer interface wearable equipment and a control method thereof, and the system comprises a processor which is used for controlling the whole brain-computer interface system; a light source module, a photoelectric sensor, a trans-impedance amplifier, an analog-to-digital converter, a first height comparator and a second high-speed comparator. According to the system, a direct time-of-flight (DDoF) measurement technology is applied to the field of functional near-infrared brain-computer interfaces. By directly measuring the time difference between the incident ultrashort pulse near-infrared light and the emergent ultrashort pulse near-infrared light, the passing distance of the near-infrared light in the brain is calculated, and according to the scheme, the absolute value of the concentration of deoxyhemoglobin and oxyhemoglobin in the brain can be measured; and the position of the blood oxygen change of the brain can be directly measured.

The invention provides a plateau hypoxic encephaledema early warning system, which comprises a first acquisition module configured to emit ultrasonic waves to at least two tangent planes of a first area to obtain an ultrasonic image reflected after being transmitted by an eyeball, and determining the diameter of an optic nerve sheath after first preprocessing; the second acquisition module is configured to emit a near-infrared signal source to a second area to obtain a spectral image reflected after transcranial transmission, and absorption spectrums of oxyhemoglobin and deoxidized hemoglobin are obtained after second preprocessing; the data processing module is configured to obtain the optic nerve sheath diameter and the absorption spectrum and determine a first influence factor and a second influence factor about the optic nerve sheath diameter and the absorption spectrum; and the early warning module is configured to give an alarm if the first influence factor and the second influence factor exceed a preset threshold value under a first preset condition. Early warning and monitoring of encephaledema are achieved through multi-mode monitoring.

Described are various embodiments of a self-monitoring oxygenation system and method. In one embodiment, a system is provided for monitoring for abnormal blood oxygenation levels. The system comprises: an optical spectroscopy probe for acquiring blood oxygenation data representative of deoxyhemoglobin levels over time; and a digital data processor operatively connected to said probe and programmedto: monitor relative variations in said deoxyhemoglobin levels to output a signal representative of a higher health risk rating of hyperoxia.

A portable optical spectroscopy system may provide noninvasive imaging of human tissue. The system may comprise a multi-wavelength near-infrared emitter source including at least one multi-chip light source configured to sequentially emit light at multiple wavelengths. A local controller may be configured to control a light emission sequence at two or more wavelengths. A sensor may be aligned in reflectance geometry with the emitter sources and configured to detect diffusely reflected near infrared light from biological tissue. A remote processor may be configured to reconstruct two-dimensional images of tissue optical properties in real time. Sequential NIR illumination from at least one source may be aligned with the sensor detector. The multi-wavelength near-infrared emitter source may comprise wavelengths selected from 670 nm, 810 nm, and 950 nm corresponding to absorption characteristics of deoxyhemoglobin, oxyhemoglobin, water, and fat. The system may generate cross-sectional images displaying spatial distribution of tissue constituents.

A method of implementing changes in deoxyhemoglobin concentration, the method comprising: targeting a sequence of partial pressures of oxygen in arterial blood (PaCh) values in a subject using a sequential gas delivery device in a periodic input pattern; measuring a blood-oxygen level dependent (BOLD) signal in a voxel of the subject's brain using a magnetic resonance imaging device while targeting the sequence of values; comparing the pattern to the signal; and determining a vascular tissue characteristic (vessel type, vessel orientation, or pathological condition) for the voxel based on the comparison.

The application discloses an imaging method for fusing photon weight and diffuse light brain tissue blood oxygen concentration change quantity and related products, and relates to the technical field of biological tissue blood oxygen imaging. The method comprises the following steps: acquiring experimental data obtained by irradiating a measured tissue with light sources of two wavelengths; performing the following calculation on the experimental data corresponding to each wavelength of the light source: calculating the average photon transmission path of the kth light probe combination in the ith voxel unit by using a formula; calculating the photon weight of the kth light probe combination in the ith voxel unit by using a formula; calculating the change quantity of the tissue absorption coefficient of the ith voxel unit by using a formula; and finally calculating the change quantity of the concentrations of oxyhemoglobin and deoxyhemoglobin by using the calculation data obtained by the two wavelengths. The application proposes a method for fusing photon weight, and by means of weight calculation, the accurate brain tissue blood oxygen concentration change quantity can be obtained by using a small amount of S-D combination photon signals.

The present invention relates to the technical field of blood oxygen measurement in biomedical engineering, and proposes a method for measuring blood oxygen saturation using a single-distance light source-detector pair, including the following steps: S1, configuring two phantoms with known absorption coefficients Model; S2, measuring the light intensity of the two phantom models at wavelength λ1 and wavelength λ2 by single-distance light source-detector; S3, measuring the light intensity of the sample at wavelength λ1 and wavelength λ2 by single-distance light source-detector; S4. Calculate the absorption coefficients of the samples at the two wavelengths according to the measured light intensity values; S5. Calculate the concentrations of oxyhemoglobin and deoxyhemoglobin in the samples according to the absorption coefficients at the two wavelengths. The present invention can quantify blood oxygen saturation by measuring optical signals with a single-distance light source-detector pair, simplifies the measuring instrument, has high accuracy, and can be widely used in the technical field of blood oxygen measurement.

The invention discloses a low-oxygen affinity deoxidized hemoglobin spray and application thereof. The invention creatively discovers that the oxygen concentration on the surface of a wound is obviously higher than that of pure deoxidized hemoglobin and high-oxygen-affinity deoxidized hemoglobin with higher oxygen carrying capacity after the low-oxygen-affinity deoxidized hemoglobin with higher oxygen release capacity is used; it is proved that the low-oxygen affinity deoxidized hemoglobin is more beneficial to improvement of the oxygen concentration of the wound surface. According to the specific embodiment of the invention, the RSR-13 is combined with the deoxidized hemoglobin, the conformation of the deoxidized hemoglobin is changed, the oxygen affinity of the deoxidized hemoglobin is reduced, the oxygen release of the deoxidized hemoglobin in the hypoxia tissue is effectively enhanced, the drug has no obvious toxicity to skin cells, the effectiveness and safety of the drug in skin wound treatment are improved, and the application prospect is wide. The method is suitable for treating multiple types of wound surfaces, and has wide application value and market prospect.

The invention provides metabolic rate detection method and detection apparatus. The metabolic rate detection method comprises the following steps: detecting characteristic light of oxyhemoglobin at asampling site by adopting the metabolic rate detection apparatus; obtaining a time-absorbance curve and a time-absorbance change rate according to absorbance curve of the oxyhemoglobin or the deoxyhemoglobin; and then, obtaining metabolic rate of the sampling site by combining the time-absorbance curve and the time-absorbance change rate with other parameters. The metabolic rate detection apparatus comprises a pressure regulation device, a detection device and a central processor; the pressure regulation device and the detection device are respectively connected with the central processor; thedetection device is used for detecting the characteristic light of the sampling site, as well as sending the characteristic light to the central processor; and the central processor controls pressurization and pressure relief of the pressure regulation device. The metabolic rate detection apparatus is capable of indirectly measuring metabolic rate of the human body; and moreover, the metabolic rate detection apparatus has less interference factors, and is high in accuracy.

Deoxyhemoglobin contrast has been used to locate arteries based on the earlier blood oxygen-level dependent (BOLD) signal arrival time, higher BOLD signal strength, and shorter mean transit time. However, additional strategies of identifying arteries with oxygen modulation are required to improve the sensitivity and specificity of results. The present disclosure provides a method of distinguishing extravascular voxels from intravascular voxels based on the magnetic signal obtained from two hypoxic boluses having two different baselines. Intravascular voxels are responsive to changes in the baseline due to their high blood volume, while extravascular voxels are not affected by changes to the baseline. Amongst intravascular voxels, arteries can be distinguished from veins because the extraction fraction of the arterial blood is reduced during hypoxia, and therefore veins are less sensitive to changes in the baseline.