40 results about "Tissue oxygenation" patented technology

The invention discloses a bedside skin flap blood flow monitoring and early warning device and computing equipment, and the device comprises a skin flap tissue perfusion monitoring module which comprises a probe housing, a microcirculation blood flow velocity sensor, a tissue oxygenation degree sensor and a flexible connecting arm; the data acquisition and transmission module is used for receiving the blood flow velocity data and the oxygenation degree data through a data line and carrying out analog-to-digital conversion and data packaging; the central processing unit comprises a data storage module, a data analysis module and an early warning module; the data analysis module comprises a baseline establishment sub-module, an anomaly detection sub-module and a trend prediction sub-module; and the early warning module is used for displaying a red alarm through a bedside display screen and sending a short message alarm containing the patient name, the bed number, the early warning type and the severity information to a medical staff mobile terminal through the wireless notification module. According to the invention, the abnormal condition of skin flap blood perfusion can be found and predicted in time, and the workload of medical staff is reduced.

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.

A system for generating a multi-modal volumetric model of a feature of a body. For example, the system may determine a 3D mesh of the feature and integrate sensor data, such as temperature, microbial loads, dielectric properties, blood flow, electric field potential, magnetic field strength, tissue oxygenation, and the like into the 3D mesh to generate a multi-modal volumetric model that may be utilized for diagnostics.

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.

A hydrotherapy system administers NormaBaric oxygen therapy (NormaBot) with precision and efficacy. The system enables transdermal absorption of pure oxygen in an aqueous environment, offering therapeutic benefits for various medical conditions characterized by inadequate tissue oxygenation and enhancing recovery and performance in athletes. The system provides transdermal oxygen therapy, offering unparalleled control, safety, and efficacy for healing, recovery, and wellness applications.

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.

The invention provides an intelligent turning-over assisting system and method for obese patients during hospital, and relates to the technical field of intelligent medical nursing, and the system comprises a split pressure sensing unit which is configured to monitor the regional pressure of different limb parts of the patients; the tissue hypoxia monitoring unit is configured to be used for monitoring tissue oxygenation degrees of different local tissues of the patient; the nursing decision module is configured to obtain risk area information for the pressure sores according to the area pressure and the tissue oxygenation degree, and the risk area information comprises the risk area position and the risk level; if it is judged that the patient does not have the operative wound, a first turning-over strategy for guiding the nursing mode of the patient is generated according to the risk area information, and the first turning-over strategy comprises the turning-over direction, the supporting part and the turning-over frequency. According to the system, pressure sore risk assessment is upgraded from subjective experience judgment of nurses to multi-dimensional physiological data driving, the problems of missed judgment and misjudgment caused by experience difference in traditional nursing are solved, and the system is particularly suitable for clinical scenes with complex body position pressure of obese patients.

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

A system, method and device for early detection of lower extremity injuries in patients with neuropathy who may have impaired pain sensation. The system comprises a sensor apparatus with multiple sensors that measure physiological parameters at specific locations on a patient's foot and lower limb. A connected computing entity receives and analyzes sensor data to identify potential injury markers such as temperature anomalies, tissue oxygenation changes, and swelling. Using machine learning algorithms that improve through continuous training, the system determines injury likelihood based on personalized baselines and historical data at a patient level. The computing entity generates an intuitive user interface displaying injury likelihood assessments for healthcare providers. This technology enables early intervention through non-invasive monitoring, potentially preventing serious complications in a vulnerable populations.

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.

Perfusion systems and methods are provided for increasing 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 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.

A regional oximetry system has a display and at least one processor causing a plurality of views to be displayed on the display, each configured to occupy at least a portion of the display. The views are adapted to present data responsive to at least one physiological signal. A first sensor port is configured to receive at least a first physiological signal representative of a regional tissue oxygenation level, and a second sensor port is configured to receive at least a second physiological signal representative of an arterial oxygen saturation level. One view presents a first trend graph of the first physiological signal and a second trend graph of the second physiological signal. An area between the first trend graph and the second trend graph can include a differential analysis of regional-to-central oxygen saturation.

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 invention relates to a drug delivery optimization method based on microcirculation dynamics modeling, which comprises the following steps: establishing a comprehensive model coupled with hemodynamics and drug delivery based on microcirculation characteristics including blood vessel distribution, blood flow velocity and blood vessel elasticity of an individual patient; according to the comprehensive model, interaction modeling is carried out by combining physicochemical properties, including solubility, molecular weight and hydrophilicity, of drug molecules and a microenvironment, including blood flow shear force and capillary permeability, of blood flow; a sensor array integrating a blood flow sensor, a tissue oxygenation sensor and a pH sensor is used for monitoring changes of local microcirculation in real time; sensor data is combined with pathological information of abnormal microvessels of a tumor area or an inflammation area of a patient, the state of microcirculation is dynamically decoded, and the permeability of the microvessels, the oxygenation effect of local tissue and the instantaneous change of blood flow are evaluated in real time; and real-time feedback of drug delivery is provided by using a state decoding technology.

Apparatus, systems, and methods are provided that generate in vivo maps of oxygenation measurements 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. Probe configuration and methods and apparatus of injecting the probe into the tissue are provided. Methods and apparatus for temperature compensation of temperature-dependent lifetime measurements 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. Resulting oxygen images may be used for various applications including, but not limited to, guiding surgical procedures such as colorectal resection through use of intraoperative sensing, enhanced endoscopic imaging for identifying suspect lesions during colonoscopy, and external imaging of tissue such as assessing peripheral vascular disease.

Methodology of various imaging modalities and engineering features are provided for multispectral soft tissue imaging architecture. The architectural designs comprise hardware of multiple ranges of wavelength for illumination and camera sensing and software for image acquisition, processing, feature abstraction, artificial intelligence-machine learning (AI-ML) analysis, visualization, and reporting. Embodiments of imaging hardware in a medical device can include a light source of multiple bands of wavelength of noncoherent and coherent light for broadband, narrowband, fluorescence, autofluorescence, Laser Speckle Imaging (LSI), Laser Doppler Imaging (LDI), tissue oxygenation imaging, and other variation of soft tissue imaging modalities. The imaging software can include temporally and spatially synchronized acquisition of multiple imaging channels, image processing based on physics principle and mathematical equations of each imaging modality, feature engineering to abstract key parameters, AI-ML training and predictive analysis, image fusion-based visualization and report. The system is designed to be either an addon to smart phones, tablets or independent handheld equipment based on embedded System On Module (SOM).

Various motion artifact reduction and correction methods are provided within multispectral soft tissue imaging architecture. A motion amplitude indication and monitoring strategy is useful before reducing motion and this can be achieved through hardware sensors such as accelerometers, gyroscopes, or software analysis such as image registration, optics flow. Large and medium level motion such as device shaking, and target breathing can be resolved through image stabilization and snapshot approach by only using a time interval where motion is minimum. Small and micro motion such as device vibration can be resolved through motion correction by identifying the mathematical correlation between velocity magnitude and signal to noise ratio (SNR) or baseline normalization by using a standard reflection marker. Sources of the motion need to be taken into consideration such as intrinsic motion from the target or extrinsic motion from the device. The present inventive concept can apply to broadband, narrowband, fluorescence, autofluorescence, Laser Speckle Imaging (LSI), Laser Doppler Imaging (LDI), tissue oxygenation imaging, and other variation of soft tissue imaging modalities. The imaging software includes temporally and spatially synchronized acquisition of motion amplitude, multiple imaging channels, image processing based on physics principle and mathematical equations of each imaging modality, motion reduction and correction, image fusion-based visualization and report. The system is designed to be an addon to smart phones, tablets, and other mobile devices as portable equipment.

1. The name of this design product: Portable near-infrared muscle oxygen sensor. 2. Purpose of the product of this design: used to measure the changes in the deoxyhemoglobin concentration, oxyhemoglobin concentration, and total hemoglobin concentration of local human tissues, and monitor the changes in tissue oxygenation and hemodynamics of local tissues. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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 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.

The invention discloses a heat-oxygen synergistic internal diathermy cabin, and belongs to the technical field of internal diathermy cabins. The bin body is an arc-shaped plate which is arched upwards, and a thermal therapy cabin is formed between the bin body and the front machine body; the rear fuselage is in butt joint with the front fuselage; the bed board is connected to the top of the front machine body and the top of the rear machine body in a sliding mode, and the bed board extends into the thermal therapy cabin; through the heating part connected with the heater, a radiofrequency internal diathermy thermal field is formed in the thermal therapy cabin, the oxygen generator supplies oxygen to the oxygen uptake tube to form an oxygen field, and a thermal oxygen double-field coupling cabin body structure under the space-time synergistic effect of the thermal field and the oxygen field realizes compensatory oxygen demand balance and tissue oxygenation optimization from the physiological support level; mitochondrial function activation and lactic acid removal acceleration from a curative effect enhancement mechanism are realized, neuroregulation improvement and heat tolerance improvement from an experience optimization dimension are realized, and the use effect is good.