46 results about "Blood parameters" patented technology

The invention discloses a vertebral artery dissection risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the steps: collecting ultrasonic dynamic blood parameter data of a vertebral artery of a patient; based on the ultrasonic dynamic blood parameter data, constructing a local blood flow kinetic energy disturbance time sequence diagram by adopting a hemodynamics time sequence analysis method, and performing time sequence prediction to generate a blood flow function disturbance prediction result; dynamically adjusting a risk score threshold by adopting a reinforcement learning algorithm, combining the adjusted risk score threshold with a blood flow function disturbance prediction result, and generating a personalized vertebral artery dissection risk score according to a risk score calculation model; and generating a vertebral artery dissection risk assessment result by using a multi-modal fusion mechanism in combination with the personalized vertebral artery dissection risk score and the multi-source heterogeneous medical feature set. According to the method, the patient static characteristics and the future disturbance trend serve as input, the optimal risk score threshold value is dynamically selected, and the personalized score is generated according to the disturbance threshold exceeding proportion and time weight information.

The method is mainly applied to the technical field of deep learning. The invention discloses an intelligent diagnosis method, device and equipment for snake venom poisoning and a medium, and the method comprises the steps: obtaining multi-modal data which comprises a wound image, a symptom text and a blood parameter; performing feature extraction processing on the wound image, the symptom text and the blood parameters to obtain image features corresponding to the wound image, semantic features corresponding to the symptom text and high-dimensional features corresponding to the blood parameters; performing alignment and fusion processing on the image features, the semantic features and the high-dimensional features through a cross-modal attention mechanism to generate fusion features; after the fusion features are input into a preset multi-task classification model, classification is carried out in a snake species label space and a toxicity category space according to the fusion features, a poisoning grade score is determined, and a diagnosis report is generated based on the poisoning grade score. According to the invention, high-precision, rapid and intelligent diagnosis of snake venom poisoning can be realized.

The invention relates to the field of intelligent health management, and provides a health preserving data recommendation method and system based on big data analysis, and the method comprises the steps: firstly, analyzing multi-dimensional time sequence physiological data collected by an intelligent qi and blood energy health preserving instrument to capture qi and blood energy mode features; meanwhile, semantic features of chief complaint symptom description, living habit description and basic information input by a user are analyzed, and cross-modal deep association is carried out on subjective description semantic features and objective time sequence features through cross-modal interactive reasoning, so that a nonlinear mapping mode between symptom description and qi and blood parameters is established; and finally, generating a health-preserving scheme adaptive to the real-time physical signs of the individual by combining a dynamic mapping rule of acupoint compatibility and conditioning parameters in a traditional Chinese medicine diagnosis prior database. In this way, the generated health preserving suggestion can conform to the overall thinking of the traditional Chinese medicine, and can also accurately respond to the time sequence change characteristics of the individual health state.

The invention discloses an intelligent disturbance and analysis method and system for hemodialysis data, and relates to the field of hemodialysis data analys.The intelligent disturbance and analysis method comprises the steps that in the hemodialysis process, disturbance signals are superposed through a blood input pump, so that blood parameters input into a dialyzer generate preset configuration changes, and therefore input disturbance signals are formed; in the disturbance applying period, blood parameters of the blood output end of the dialyzer are collected in real time, and corresponding output response signals are formed; performing cross-correlation analysis on the input disturbance signal and the output response signal, and calculating a time delay parameter between the input disturbance signal and the output response signal; periodically and repeatedly detecting, carrying out regression analysis on the time delay parameter, and when the time delay parameter is continuously increased along with time, judging that the dialyzer has a blockage trend and outputting early warning information. According to the method, early detection on the dialyzer blockage is realized through the dynamic time-lag characteristics under the condition of not increasing a sensor, and the safety of a hemodialysis system is improved.

A system and method for determining a patient's fluid-dependent hemodynamic responsiveness. The system comprises a processor configured to receive one or more of: one or more patient characteristics, one or more surgery characteristics, or one or more measured patient blood parameters. The processor is further configured to receive fluid challenge characteristics for a fluid challenge administered intravenously to the patient, and one or more measurements indicative of the patient heart function before and after the administration of the fluid challenge. The processor determines the patient blood volume (BV) within the patient's central blood compartment, before and after the administration of the fluid challenge, based on the received fluid challenge characteristics and the received one or more of: one or more patient characteristics, one or more surgery characteristics, or one or more measured patient blood parameters. The processor then calculates the relationship between the change in patient blood volume (ABV) and the change in patient heart function.

The present invention relates to a device (1, 1′) and a method for simultaneously measuring a plurality of blood parameters by means of artificial intelligence. The invention provides for: exciting blood with electromagnetic radiation at a plurality of determined wavelengths, receiving analog information relating to the plurality of electromagnetic and / or light responses of the blood comprising electromagnetic radiation retroreflected or diffused by the blood, converting the analog electromagnetic and / or light response information into digital electromagnetic and / or light response data, processing the digital electromagnetic and / or light response data and the actual temperature value of the blood by means of one or more neural networks (NN) and determining, as a result of the processing operation, the value of each parameter.

Embodiments pertain to a method of assessing the cardiometabolic health of a subject by (1) receiving a plurality of parameters of the subject, where the plurality of parameters includes a T2 relaxation time constant of a subject's blood (T2 value) and one or more additional parameters; and (2) feeding the plurality of parameters into an algorithm, where the algorithm correlates the plurality of parameters to the subject's cardiometabolic health. The methods may also include a step of communicating cardiometabolic health risk. The methods may also include a step of implementing a treatment decision. Further embodiments pertain to system for assessing the cardiometabolic health of a subject in accordance with such methods.

State of art techniques for measurement of blood viscosity, RBC concentration and the like are in vitro methods. Embodiments of the present disclosure provide a method and system for in vivo non-invasive measurement of blood parameters using Laser Enabled Swept Frequency Acoustic Interferometry (LE-SFAI) principle. A Continuous Wave Laser diode based Photo Acoustic (CWPA) signal in frequency domain generated from laser excitation incident on a biological tissue of a subject carrying blood vessel is acquired by the ultrasound sensor and converted to a windowed time domain CWPA signal limited to two peaks. The signal characteristics such as risetime, amplitude, and time difference between first peak and the second peak are obtained to derive blood viscosity, Red Blood Corpuscles (RBC) concentration, and blood vessel diameter.

Bracket assemblies can be used to pole mount medical equipment such as blood parameter monitoring devices, extracorporeal blood pumps, and other medical devices. The use of such pole mount bracket assemblies can serve to minimize congestion of areas around patients receiving medical attention. In some examples, the pole mount bracket assemblies can be made to be easily adjustable and to be readily adaptable to firmly clamp to poles of various diameters.

Bracket assemblies can be used to pole mount medical equipment such as blood parameter monitoring devices, extracorporeal blood pumps, and other medical devices. The use of such pole mount bracket assemblies can serve to minimize congestion of areas around patients receiving medical attention. In some examples, the pole mount bracket assemblies can be made to be easily adjustable and to be readily adaptable to firmly clamp to poles of various diameters.

The present invention relates to a blood test method based on electrochemical impedance spectroscopy that can calculate clinical indicators in real time without separate clinical test equipment for calculating clinical indicators by changing the initial values ​​of blood parameters to fit the actual impedance and virtual impedance of the blood, and calculating clinical indicators using the blood parameters with changed initial values.

The invention relates to the technical field of poultry health assessment, in particular to a method for predicting and identifying the high fat deposition risk of the liver of a laying hen based on blood amino acid parameters. The method comprises the following steps: collecting a blood sample when the laying hen is in a metabolic state after absorption, detecting the total amino acid content and the alanine content in blood, and substituting blood parameters into a pre-established liver triglyceride prediction model to obtain the predicted liver triglyceride content, and comparing the prediction results to judge the high fat deposition risk of the liver of the laying hen. According to the method, the laying hens do not need to be slaughtered and sampled, the fat deposition state of the livers of the living laying hens can be rapidly evaluated, and the method is suitable for early screening and risk early warning of high fat deposition of the livers of the laying hens under the large-scale breeding condition.

The invention discloses an image processing method and device for judging suspension red blood cell hemolysis. The method comprises the following steps: acquiring a blood image set; the blood image set comprises a plurality of blood images and corresponding label information; acquiring a blood parameter information set; the blood parameter information set comprises a plurality of blood parameters and corresponding label information; the blood parameters comprise hemoglobin concentration, reticulocyte concentration, indirect bilirubin concentration, lactic dehydrogenase concentration and globin concentration; utilizing the blood image set and the blood parameter information set to construct a blood hemolysis composite detection model; based on the blood hemolysis composite detection model, processing the collected blood image and blood parameters to obtain hemolysis detection result information; the hemolysis detection result information is used for representing erythrocyte hemolysis information of the blood corresponding to the collected blood image and blood parameters.

The invention relates to a computer system (1) for assisting a user in preparing or performing a blood treatment procedure for a patient by means of a blood treatment device (100). The computer system (1) comprises a computing device (5), an input interface (501) and an output interface (503); wherein the input interface (501) is configured for inputting input values entered by a user, the input values comprising values proposed or set by the user for setting device parameters on the blood treatment device (100) for extracorporeal blood treatment of a patient; furthermore, the computing device (5) is programmed to predict a result value of at least one blood parameter or at least one test parameter of the patient at a point in time during the treatment, or a profile of the patient over a period of time during the treatment, based on the input value of the input; the calculation device (5) can transmit the predicted value or the change curve to an output interface (503) in a signal transmission mode, and the predicted value or the change curve is transmitted from the interface to an output device (505) and other devices for user confirmation.

A computer-implemented method for determining states in vivo and in vitro by analyzing blood parameters, including obtaining blood parameters of a blood sample by a hematology analyzer, the blood parameters including quantitative and qualitative measurement variables, and the measurement variables include properties of individual cells, and the individual cells comprise blood cells. The computer-implemented method further includes creating a scatterplot having at least two axes, and each axis of the scatterplot comprises a different measurement variable; and determining an in-vivo and / or in-vitro and / or post-mortem state by a deep learning model and / or a machine learning model. The input variable for the deep learning model includes a scatterplot, and the input variable for the machine learning model includes 1D vector. The 1D vector is created by vectorizing the scatterplot; and automatically generating a report including the result regarding the determination of the state.

According to this invention, there is provided an automated sample preparation system implemented within a disposable cartridge. The system utilizes finger prick blood or venous blood as an input sample and performs various sample processing steps, including fluidic metering, fluidic routing, and reagent storage with an integrated biosensor. The architecture, of this system, enables efficient and accurate testing of blood parameters, hematology parameters such as CBC, CD4-T cells count, but not limited to, Complete Blood Cell Count (CBC) and measurement of biomarkers such as Troponin, IL-6, Procalcitonin, but not limited to, CRP, Procalcitonin, and IL-6 through ELISA and is flexible to implement other electrochemistry techniques.

Medical systems can be used to monitor various types of patient parameters. For example, this document describes patient parameter monitoring systems that obtain and display information to provide continuous, in-line monitoring of various patient parameters during medical procedures, such as parameters of blood contained within an extracorporeal perfusion circuit during an open heart surgery procedure.

The present disclosure relates to a control device or closed-loop control device programmed to control or regulate a blood treatment apparatus during an administered treatment of a patient's blood using an extracorporeal blood tubing set and the blood treatment apparatus based on set adjustable values of treatment parameters set by using the blood treatment apparatus or using another device optionally connected to the extracorporeal blood tubing set, wherein the control device or closed-loop control device is further programmed, after reading, to compare at least one measurement value collected during the administered treatment, as the actual value of a blood parameter with a stored target value of the blood parameter. Based on this comparison and observation of a set adjustable value of one of the treatment parameters, either a correction value or correction factor to change the set adjustable value or a new adjustable value is determined in each case.

A medical device includes a holder that may be applied to the skin of a patient, a biofuel cell, a pump configured for supplying blood to the biofuel cell, a sensor configured to emit a signal representative of a blood parameter, a control unit connected to the pump and the sensor, and a rechargeable battery electrically connected to the biofuel cell. The control unit is configured to perform a recharging procedure including the following steps: processing the signal emitted by the sensor, estimating a value of the blood parameter of the patient, comparing said estimated value with a threshold value, and, based on the comparison, commanding the activation of the pump for delivering a predetermined amount of blood to the biofuel cell for generation electricity and recharging the battery.

Device for ventilation, comprising: a breathing gas source for providing breathing gas for the ventilation of a patient; at least one sensor connected to an interface (8) of the device, which can be positioned on the patient's skin and is designed to non-invasively measure at least one component of the patient's blood as at least one ventilator-dependent blood parameter; a control device designed to evaluate at least one blood parameter and autonomously change at least one operating parameter of the device depending on the at least one blood parameter, wherein maximum corridors are specified for the at least one operating parameter to prevent implausible automatic ventilation settings, and operator inputs are evaluated to take external control specifications into account; a device housing (1) with a control panel (2) and a display (3), wherein an oxygen supply valve is adaptable to the device in the area of ​​the device housing (1) and a respiratory gas pump is arranged in an interior of the device, wherein a humidifier is also adaptable to the device, wherein the display (3) is designed as a display so that a physician can select a disease pattern directly on the display; a modem or other interface for transmitting recorded data to the physician, as well as abnormalities, operating hours, or other data to a maintenance or customer service department to ensure proper functioning of the device; wherein the control device is designed to change the at least one operating parameter within a control loop, to which data of the at least one blood parameter are supplied as setpoint and actual values, and to assign strategies for carrying out the control to specific disease patterns, wherein each strategy includes a priority list of 1 to N different settings that are to be processed within the respective bandwidths when applying the strategy, wherein the strategies with their respective settings and bandwidths can be stored and made available as fixed predefined strategies for specific disease patterns; wherein the control device is further configured to take into account characteristic settings and their ranges for the disease pattern chosen by the physician and to apply the settings taken into account; wherein at least one blood parameter includes a carbon dioxide partial pressure and the control device is further designed to compare an actual value of the carbon dioxide partial pressure with a setpoint when performing the control and, if a current strategy has been fully executed and the setpoint has not been reached, to automatically apply a new strategy suitable for further improving the patient's condition.

A blood pump assembly can include various components such as a housing and a sensor configured to detect one or more characteristics of the blood. In some embodiments, the sensor can be coupled to the housing and can include a sensor membrane configured to deflect in response to a change in a blood parameter (e.g., pressure). The blood pump assembly can include a shield that covers at least a portion of the sensor membrane so as to protect the sensor from damage when the blood pump assembly is inserted through an introducer and navigated through the patient's vasculature and / or when the blood pump assembly is inserted into the heart in a surgical procedure. One or more protective layers can be deposited over the sensor membrane to prevent the sensor membrane from being dissolved through interactions with the patient's blood.

Medical systems can be used to monitor various types of patient parameters. For example, this document describes patient parameter monitoring systems that obtain and display information to provide continuous, in-line monitoring of various patient parameters during medical procedures, such as parameters of blood contained within an extracorporeal perfusion circuit during an open heart surgery procedure.

The invention relates to a device and a method for measuring a plurality of blood parameters by artificial intelligence. The invention provides for: exciting blood with electromagnetic radiation of a plurality of determined wavelengths; receiving analog information about a plurality of electromagnetic and / or optical responses of the blood, the plurality of electromagnetic and / or optical responses comprising electromagnetic radiation backscattered or diffused by the blood; converting the analog electromagnetic and / or optical response information into digital electromagnetic and / or optical response data; processing the digital electromagnetic and / or optical response data and an actual temperature value of the blood by means of a neural network; determining a value of each parameter as a result of the processing; determining a plurality of ratios of optical counts; providing the plurality of ratios and the temperature value as input to the neural network; processing the plurality of ratios by the neural network taking into account a plurality of data in previous measurements of blood parameters made during a previous training; providing the value of each parameter as output of the neural network. The device can be coupled to a test tube or directly to a tube of an extracorporeal blood circuit.

The invention relates to a brain oxygen consumption monitoring system and monitoring method. The brain oxygen consumption monitoring system comprises a host, a first implanted probe and a second implanted probe, the first sensor group is used for monitoring blood parameters in the peripheral artery; the second sensor group is used for monitoring blood parameters in the jugular vein; and the host is used for processing the data acquired by the first sensor group and the second sensor group and calculating the data to obtain the oxygen consumption of the brain. The first sensor group and the second sensor group are adopted for invasive monitoring to directly measure blood parameters of peripheral arteries and jugular veins, physical barriers such as skull and cerebrospinal fluid are bypassed, the system can still work stably in patients with encephaledema and intracranial hypertension, influences caused by reduction of the signal-to-noise ratio due to tissue swelling in non-invasive monitoring are avoided, and the system can be used for monitoring the peripheral arteries and jugular veins of the peripheral arteries and the jugular veins of the peripheral arteries and the jugular veins of the peripheral arteries and the jugular veins. Reckoning errors of a non-invasive technology are eliminated, integration calculation of multiple parameters can be carried out through invasive monitoring, and the calculation result has higher clinical value.

An embodiment relates to a method for testing blood based on electrochemical impedance spectroscopy, the method being able to calculate clinical indicators in real time without separate clinical test equipment for calculating clinical indicators by changing initial values of blood parameters to fit an actual impedance and a virtual impedance of blood, and calculating clinical indicators using the blood parameters of which the initial values are changed.

A wearable non-invasive blood viscosity monitor and methods of using the same are described. The blood viscosity monitor includes first and second sensors configured to sense blood parameters non-invasively from a subject and a processor circuit configured to generate an indication of blood viscosity using the sensed blood parameters from at least one of the first and second sensors and to generate a medical diagnostic using the indication of blood viscosity. An output circuit presents the medical diagnostic to alert a clinician about an elevated viscosity. The first and second sensors may be on the same or different fixation devices and adapted to provide measurements that are mixed and matched by the processor circuit to provide validation of measurements, averaging of measurements, or to select the most reliable data for each modality and measurement context.