22 results about "Tissue oxygenation" patented technology

Perfusion systems and methods are provided for enhancing perfusion to the vasculature of a patient suffering from reduced blood flow. For example, the system can increase peripheral blood flow to reduce limb ischemia, in which an extracorporeal pump having a controller, and catheter / tubing set, employed alone or in conjunction with an interventional or circulatory assist device, withdraws blood from a patient's vasculature and reintroduces that blood at another location within the patient's vasculature at a controlled local pressure or flow rate, without interfering with operation of the interventional or circulatory assist device or surgical intervention.

The invention relates to the technical field of medical equipment, in particular to a short and small penis therapeutic apparatus with a heating function. Comprising a mounting cylinder, a fixing frame, a treatment cylinder, a fixing assembly, a negative pressure pump, a connecting pipe, a first fixing ring, an elastic piece, a moving plate, a second fixing ring and the like. A fixing frame is arranged on the mounting cylinder, a treatment cylinder is slidably arranged on the fixing frame, a fixing assembly is arranged between the fixing frame and the treatment cylinder, a connecting pipe is arranged on the mounting cylinder, the connecting pipe is connected with a negative pressure pump, a first fixing ring and a second fixing ring are fixed in the mounting cylinder, an elastic piece is connected to the first fixing ring, and the elastic piece is connected with a moving plate. The moving plate is attached to the inner wall of the mounting cylinder. Negative pressure is generated through the negative pressure pump, so that a stable negative pressure environment is formed in the treatment cylinder, a mild suction effect is applied to the penis, local blood circulation can be promoted, tissue oxygen supply can be improved, and penis development can be assisted; and the heating wire can heat the treatment cylinder, so that the treatment cylinder is kept at a proper temperature.

This specification describes systems and methods for using Zero Echo Time (ZTE) magnetic resonance imaging (MRI) sequences for applications to functional MRI (fMRI). In some examples, a system for functional magnetic resonance imaging includes a magnetic resonance imaging (MRI) scanner and a control console implemented on at least one processor. The control console is configured for executing, using the MRI scanner, a zero echo time (ZTE) pulse sequence; acquiring, using the MRI scanner, magnetic resonance data in response to the ZTE pulse sequence; and constructing at least one MRI image using the magnetic resonance data and measuring tissue oxygenation (PtO2)-related T1 changes as a proxy of neural activity changes of a subject using the at least one MRI image.

This application provides a method, system, electronic device, and storage medium for predicting wound healing progress based on 3D point cloud reconstruction, relating to the field of 3D point cloud reconstruction technology. This application generates spectral feature vectors containing biological indicators such as hemoglobin concentration and tissue oxygenation status by acquiring the reflectance spectral data and initial three-dimensional point cloud data of the wound. The initial point cloud is processed to obtain target data that retains its spatial morphology. The spectral feature values ​​are then fused point-by-point with the spatial coordinates of the target point cloud to generate a three-dimensional point cloud data cube. A 3D convolutional neural network is used to extract the spatial structural features within the cube, and the changes in spectral features at adjacent time points are tracked using optical flow, coupling the two. Based on the coupling results, a cell migration map is constructed, and the changing trend of node connection strength in the map is analyzed to obtain the predicted wound healing progress, which can improve the accuracy and comprehensiveness of wound healing progress prediction.

Provided herein are methods and systems for determining a parameter across a surface of a tissue such as a retinal tissue of an eye of a subject. In some cases, the determined parameter is tissue oxygenation which can be used for a variety of clinical applications such as diagnosing and / or modeling a disease in the subject. In some examples, the method is performed by detecting one or more optical signals from the tissue using an optical detector, and processing the detected optical signals to characterize and map the parameter across the surface of the tissue. The methods and systems provided herein can prove accurate physics-based models of parameters such as tissue oxygenation across a heterogeneous tissue surface.

The invention provides a wound healing progress prediction method and system based on 3D point cloud reconstruction, electronic equipment and a storage medium, and relates to the technical field of 3D point cloud reconstruction, and the method comprises the steps: obtaining reflection spectrum data and initial three-dimensional point cloud data of a wound, and generating a spectrum feature vector of biological indexes including hemoglobin concentration, tissue oxygenation state and the like; and processing the initial point cloud to obtain target data with a reserved spatial form, and fusing the spectral feature values and the spatial coordinates of the target point cloud point by point to generate a three-dimensional point cloud data cube. And extracting spatial structure features in the cube by using a 3D convolutional neural network, tracking spectral feature variations of adjacent time points through an optical flow method, and coupling the spatial structure features and the spectral feature variations. A cell migration graph is constructed based on the coupling result, the change trend of the node connection strength in the graph is analyzed, a wound healing progress prediction result is obtained, and the accuracy and comprehensiveness of wound healing progress prediction can be improved.

The present disclosure describes, in part, arterial cannula systems for extracorporeal membrane oxygenation and cardiopulmonary bypass provides pulsatile blood flow and selective flow distribution. The cannula comprises a multi-lumen structure including a central lumen for blood flow, dedicated lumens for helium delivery, a distal orifice for body perfusion, and proximal orifices for limb perfusion. An inflatable cuff positioned between the distal and proximal orifices modulates blood flow through rapid inflation and deflation cycles achieved in milliseconds using helium gas. An external control console with microcontrollers and customized software automates the inflation-deflation cycles based on physiological inputs including ECG, arterial pressure, and tissue oxygenation. The system restores physiologically effective pulsatile flow, prevents limb ischemia, reduces thrombus formation risk, and can provide ECG-synchronized flow modulation to facilitate native cardiac ejection, potentially eliminating the need for separate left ventricular venting during mechanical circulatory support.

To provide an apparatus, systems and methods for mapping of tissue oxygenation.SOLUTION: An apparatus, systems and methods are provided that generate in vivo maps of oxygenation measurement of biological tissue. These may include surgical instruments and stand-alone imaging systems with incorporated oxygen sensing capability. Oxygenation maps can be determined via fluorescent or phosphorescent lifetime imaging of an injectable probe with an oxygen-dependent optical response. A probe configuration and methods and an apparatus of injecting the probe into the tissue are provided. Methods and an apparatus for temperature compensation of temperature-dependent lifetime measurement are provided to improve oxygenation measurement accuracy. Oxygen maps may be registered with visible light images to assist in assessing tissue viability or localize anomalies in the tissue.SELECTED DRAWING: Figure 1

The invention relates to a wearable circulation support device (10), which is attached to the calf and includes a pusher assembly (20) having at least three pushers (21) that sequentially apply pressure to the calf to promote the movement of blood in the veins passing through the calf region toward the heart. It is characterized in that, it comprises at least one detector unit (30) comprising at least one of a pulse sensor (30.1), an oximeter (30.2), and an edema detector (30.3) to enable the acquisition of at least one physiological parameter from the pulse, tissue oxygenation and edema parameters of the person; a processor unit (40) to enable the said physiological parameter to be compared with a reference physiological parameter and to operate said pusher assembly (20) in case the physiological parameter is found to be outside said reference parameter.

The invention relates to the technical field of intelligent monitoring, in particular to a medical risk monitoring method based on an artificial intelligence model, and the method comprises the steps: collecting thoracic impedance, tissue oxygenation spectrum, microcirculation pressure, respiratory flow and body surface vibration in real time; judging tissue oxygenation abnormity, and generating a suspected risk result; screening an abnormal candidate parameter group based on the risk result and a historical stable sample; candidate parameter fluctuation, frequency band energy, synchronism and pressure offset are calculated, and the risk type is judged; adjusting an oxygen supply threshold, an impedance tolerance and a fluctuation range according to the risk type; and correcting a fluctuation range in combination with risk time distribution and parameter correlation or generating an intervention prompt in combination with an artificial intelligence model. The multi-source physiological parameter fusion analysis model based on artificial intelligence is constructed, and the problems that due to single static data analysis and lack of multi-parameter collaborative judgment, tiny abnormal fluctuation of a postoperative patient cannot be captured in time, and risk events are lagged to find are effectively solved.

This invention introduces the use of high dissolved oxygen levels exceeding 185%, delivered through fluids, aqueous solutions, gels, hydrogels, creams, aerosol sprays or micro- encapsulation, for treatment of wounds, burns, ischemia, neuropathy, skin-related conditions, skin grafts, and bovine mastitis. Unlike traditional Hyperbaric Oxygen Therapy (HBOT), this method provides a targeted, noninvasive approach, ensuring optimal oxygen availability at the cellular level. Unlike traditional HBOT the patient does not have to be referred for treatment and can self-treat at home. The composition enhances therapeutic outcomes by promoting cell proliferation, reepithelialization, collagen synthesis, and angiogenesis while reducing infection risks and inflammation. The vehicle stabilizes the high dissolved oxygen and facilitates its effective application. This invention addresses the limitations of existing oxygen delivery mechanisms, offering a versatile and efficient solution for tissue oxygenation and accelerated healing in both human and veterinary medicine.

The present invention relates to highly porous, bioresorbable electrospun sensors for optical detection of tissue oxygenation and processes of making and using same. Multiple sensor compositions are described that are focused on different applications / oxygen ranges. Such sensors alleviate the risk of leaving the sensor implanted in a subject, typically have as good or better oxygen sensing capabilities and comparable performance life span as non-degradable sensors and unlike sensors made from general bioresorbable materials maintain a desired porosity as they degrade. Thus, such sensors may remain integrated in a subject's body while they degrade and maintain the ability to sense oxygen for their performance life span.

The application discloses a kind of childbirth process energy consumption monitoring and individualized energy demand management system, including multimodal perception layer, transmission layer, computing layer and application decision layer, multimodal perception layer includes multimodal data acquisition module and non-invasive metabolism monitoring module, and the physiological sign parameter of pregnant woman is collected using wearable sensor array in multimodal data acquisition module, and non-invasive metabolism monitoring module carries out collection to tissue oxygenation data, body fluid distribution and metabolism data and oxygen consumption and carbon dioxide production data, computing layer establishes individual basal metabolic rate model by intelligent computing module, and calculates total energy consumption of labor, and then balanced state is calculated by dynamic energy demand prediction model, and application decision layer generates individualized nutrition supplement scheme according to the data of computing layer, triggers multi-level early warning and pushes clinical decision suggestion, and the application realizes real-time accurate monitoring of childbirth process energy consumption, individualized energy demand prediction and dynamic nutrition supplement.

Systems and methods relying on deep learning (DL) approaches are used to denoise photoacoustic images (PAI), including under extreme noise, as well as preserve and restore physiologically accurate tissue oxygenation information across pre-clinical and clinical settings. U-Net-based DL models are used to improve the signal-to-noise ratio (SNR) in real-time, including for low frame averaged PA data, matching the image quality of high frame averaged PA data.

The invention relates to the field of biological medicine, and discloses a spinal cord injury assessment method and system based on an optical technology. The method comprises the following steps: synchronously acquiring a hyperspectral reflection image, a linear polarization scattering image and a time-resolved autofluorescence decay curve; respectively generating three types of feature maps representing tissue oxygenation, collagen microstructure disorder and mitochondrial dysfunction; a three-dimensional space-time coupling feature tensor is constructed through pixel-level registration, and key region response is enhanced through a damage sensitivity weighted convolution kernel; and finally, outputting 0-100 spinal cord injury quantitative indexes, and automatically judging the injury level according to a preset threshold value. The system integrates a multi-mode optical acquisition device and an intelligent analysis module, and supports real-time, objective and accurate evaluation in an operation. According to the method, through a sensitivity weighting mechanism of multi-scale quantitative characterization and data driving, the evaluation consistency, sensitivity and clinical interpretability are improved.

A robotic surgical system includes a robotic instrument coupled to a controller and configured to interact with biological tissue. A physiologic sensing subsystem has one or more sensors configured to detect real-time physiological parameters. The sensors include at least one of: tissue oxygenation sensors, perfusion sensors, bioimpedance sensors, or neural conductivity sensors. A boundary mapping engine includes an artificial intelligence (AI) module trained to: generate dynamic boundary zones within a surgical field based on sensed physiological thresholds and contextual procedural data; classify zones as high-risk based on learned thresholds derived from patient-specific models, historical surgical outcomes, or intraoperative signal patterns; and generate an instrument constraint map corresponding to the boundary zones and continuously refine it based on ongoing sensor inputs and AI-inferred trends; A control module configured to: receive the instrument constraint map; restrict, dampen, or modify robotic instrument movement preventing intrusion into AI-classified high-risk boundary zones; and log override attempts, constraint violations, and AI confidence scores for real-time or retrospective analysis. A visualization interface presents real-time physiological boundary overlays, constraint zones, and AI-generated risk indicators to the surgeon.

A system for performing near infrared spectroscopy (NIRS) monitors tissue oxygenation and / or hemodynamics. The system comprises a sensor coupled to a controller and / or processing device. The sensor comprises a light source which is operable to emit light of various distinct wavelengths and a detector which is operable to collect corresponding backscattered light.

The present invention relates to an anabolic nutraceutical formulation that offers, among other improvements : - feed conversion, favoring among others the following points : - weight gain with lower food consumption; - the animals reach the target weight set by the producer early; - a natural product, dosed in tiny quantities of active substance; - the anabolic nutraceutical contains Blatta orientalis; - non-toxic for the animal; - non-toxic for the consumer of this meat; - the meat remains adequately hydrated at the core; - the meat remains palatable, tender, succulent and soft; - administration is easy and occasional; - the consumption of the anabolic formulation optimizes the absorption of the nutrients in the food, as well as tissue oxygenation and, at the same time, increases blood flow; - the distribution of lean tissue is greater; - it improves animal health, which means less morbidity and mortality, resulting in savings for livestock producers; - the breeding mothers remain in optimal body condition during the lactation stage.

The present disclosure describes, in part, arterial cannula systems for extracorporeal membrane oxygenation and cardiopulmonary bypass provides pulsatile blood flow and selective flow distribution. The cannula comprises a multi-lumen structure including a central lumen for blood flow, dedicated lumens for helium delivery, a distal orifice for body perfusion, and proximal orifices for limb perfusion. An inflatable cuff positioned between the distal and proximal orifices modulates blood flow through rapid inflation and deflation cycles achieved in milliseconds using helium gas. An external control console with microcontrollers and customized software automates the inflation-deflation cycles based on physiological inputs including ECG, arterial pressure, and tissue oxygenation. The system restores physiologically effective pulsatile flow, prevents limb ischemia, reduces thrombus formation risk, and can provide ECG-synchronized flow modulation to facilitate native cardiac ejection, potentially eliminating the need for separate left ventricular venting during mechanical circulatory support.

Tissue oxygenation compositions comprising a hydrogel and an oxygen carrier compound are described. Tissue oxygenation precursor compositions and methods of using tissue oxygenation compositions for tissue oxygenation are also described.

The application relates to the field of biological medicine, and discloses a spinal cord injury evaluation and assessment method and system based on optical technology. The method comprises the following steps: synchronously collecting hyperspectral reflectance images, linear polarization scattering images and time-resolved autofluorescence decay curves; three types of feature maps representing tissue oxygenation, collagen microstructure disorder and mitochondrial dysfunction are respectively generated; three-dimensional space-time coupling feature tensors are constructed through pixel-level registration, and the responses of key regions are enhanced through damage sensitivity weighted convolution kernels; finally, a spinal cord injury quantitative index of 0-100 is output, and the damage grade is automatically determined according to a preset threshold. The system integrates a multi-modal optical acquisition device and an intelligent analysis module, and supports real-time, objective and accurate evaluation during operation. Through multi-scale quantitative characterization and a data-driven sensitivity weighting mechanism, the application improves the evaluation consistency, sensitivity and clinical interpretability.

A system for imaging of oxygen concentration in tissue or diffuse media using a protoporphyrin IX fluorophore probe includes a pulsed excitation light to stimulate fluorophore and a gated electronic camera synchronized to the pulsed light. The gated electronic camera captures immediate fluorescence images in an immediate fluorescence time window overlapping a light pulse from the pulsed light source and delayed fluorescence images after a light pulse. An image processor receives the immediate and delayed fluorescence images from, the image processor producing images indicative of tissue oxygenation therefrom. In another embodiment, a method of generating oxygen level images of tissue includes using a pulsed excitation light illuminator and a gated camera to obtaining immediate and delayed fluorescence images of the tissue. The method includes determining a ratio image from the delayed fluorescence image and the immediate fluorescence image, the ratio image providing an oxygen level image of the tissue.