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45 results about "Oxyhemoglobins" patented technology

A compound formed by the combination of hemoglobin and oxygen. It is a complex in which the oxygen is bound directly to the iron without causing a change from the ferrous to the ferric state.

Non-invasive monitoring method and device for cerebral blood oxygen

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.
Owner:CHONGQING UNIV

Alzheimer's disease auxiliary diagnosis system based on fNIRS and graph neural network

The invention discloses an Alzheimer's disease auxiliary diagnosis system based on fNIRS and a graph neural network. The auxiliary diagnosis system is used by the following steps: an electroencephalogram detection module is used to perform multi-channel detection on oxyhemoglobin, deoxidized hemoglobin and total hemoglobin when brains of an AD patient and a normal person are in an active state byusing a functional near-infrared spectral imaging device, and an fNIRS data set is constructed; an adjacency matrix construction module is used to constructs an adjacency matrix for the fNIRS data setby using correlation between channels; a node feature matrix construction module is used to perform feature extraction on the fNIRS data set to construct a node feature matrix; a graph structure construction module is used to respectively construct an AD patient graph structure and a normal person graph structure according to the adjacent matrix and the node feature matrix to form a training dataset; and an Alzheimer's disease recognition module is used to train a constructed graph neural network by using the training data set, recognize the test data set of the to-be-tested person by usingthe trained graph neural network, and output an auxiliary diagnosis result. The graph neural network is applied to classification of the fNIRS data.
Owner:SHANDONG UNIV

Apparatus for simultaneously acquiring multiple images of biological tissues and method thereof

PendingCN110338814ARealize multi-parameter monitoringRealize full-frame image acquisitionDiagnostics using lightSensorsLaser lightImaging lens
The invention relates to an apparatus for simultaneously acquiring multiple images of biological tissues and a method thereof. The apparatus comprises a light source mechanism and an optical imaging mechanism; the light source mechanism comprises a laser light source and a first incoherent visible light source and a second incoherent visible light source having significantly different molar absorption coefficients of oxyhemoglobin and deoxyhemoglobin; the optical imaging mechanism includes an imaging lens group, a filter switcher, and an optoelectronic imaging device disposed in sequence alonga light detecting path, and a visible light filter and a laser filter are embedded in a optical filter switching device to form a visible light filter channel and a laser filter channel. The apparatus can simultaneously acquire multiple images of biological tissues, pixel-level registration can be performed between different parameter images, so that the precise fusion of hemodynamic multi-parameter detection can be achieved, the full-frame image acquisition can be achieved, the reduction of the resolution of an imaging space is not required, and the spectra between different types of imagesdo not interfere with each other.
Owner:武汉迅微光电技术有限公司

Near-infrared brain imaging spectrum recognition method

ActiveCN113180650AReduce the influence of subjective consciousnessDiagnostic recording/measuringSensorsPattern recognitionImaging brain
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.
Owner:北京柚果星空科技有限公司

Three-wavelength vein blood oxygen concentration measuring method

The invention discloses a three-wavelength vein blood oxygen concentration measuring method, a measuring device is composed of a blood oxygen signal, a blood oxygen probe, a signal amplifier, an analog-digital converter and a main controller, the blood oxygen probe collects a blood sample signal, carries out photoelectric conversion, converts a light intensity signal into a frequency signal, carries out signal amplification through a signal amplification circuit, performs ADC conversion, converts the frequency signal into a digital signal, transmits the digital signal to the main controller, the digital signal is processed by the main controller to obtain an electric signal in direct proportion to the light intensity, and the obtained electric signal is substituted into a three-wavelength calculation formula obtained by new derivation to obtain the corresponding venous blood oxygen concentration. According to the three-wavelength vein blood oxygen concentration measuring method, wavelength light sources on absorption points such as reduced hemoglobin and oxyhemoglobin serve as reference light sources, the three-wavelength vein blood oxygen concentration measuring method is obtained through derivation, the anti-interference capacity is higher, measurement is accurate, no time interval is generated in the measuring period, and real-time, continuous and effective parameters can be provided.
Owner:CHONGQING UNIV

FNIRS emotion recognition method and system based on graph network and adaptive denoising

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.
Owner:SOUTH CHINA UNIV OF TECH
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