12865results about "Angiography" patented technology

Various patient monitoring systems, devices, and methods are disclosed for monitoring physiological parameters of a patient. A noninvasive blood pressure monitor can include an inflatable cuff, a pressure transducer, an air pump, and a plurality of air paths connecting the inflatable cuff, the pressure transducer, and the air pump. The monitor can also include an acoustic filter provided along at least one of the air paths. In some cases, the monitor can include first and second air pumps, as well as a processor to independently control operating characteristics of the air pumps. The processor can also control the air pumps so as to provide a first inflation rate for the inflatable cuff during a non-measurement portion of an inflation phase and a second, higher inflation rate during a measurement portion of the inflation phase.

A modular surgical system for use in a surgical procedure is disclosed. The modular surgical system includes a control module including a power supply and surgical modules including a first surgical module and a second surgical module. The first surgical module is arranged in a stack configuration with the control module and the second surgical module. The power supply is configured to output power to the first surgical module and the second surgical module. A power backplane is configured to deliver the power to the first surgical module and the second surgical module through the first surgical module. A control circuit is configured to adaptively adjust power allocations to the first surgical module and the second surgical module.

An electrocardiogram device configured to transmit at least one signal responsive to a wearer's cardiac electrical activity can include a disposable portion and a reusable portion configured to mechanically and electrically mate with each other. The disposable portion can include a base having at least one mechanical connector portion, a plurality of cables and corresponding external ECG electrodes, and a first plurality of electrical connectors associated with the plurality of cables. The reusable portion can include a cover having at least one mechanical connector portion, a second plurality of electrical connectors configured to electrically connect with the first plurality of electrical connectors of the disposable portion, and an output connector port configured to transmit at least one signal responsive to one or more signals outputted by the external ECG electrodes of the disposable portion.

A blood pressure monitoring system, comprising: an exciter configured to produce an acoustic signal, the exciter being provided on a first substrate portion; a detector spaced apart from the exciter, the detector being configured to detect the acoustic signal and to produce an electrical output signal, the detector being provided on a second substrate portion that is mechanically or acoustically decoupled from the first substrate portion, wherein the detector comprises at least four detectors; and a processor configured to determine a blood pressure measurement from the electrical output signal.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving one or more vascular models associated with either the patient or with a plurality of individuals; receiving observed perfusion information associated with the patient; and estimating, using one or more computer processors, one or more blood flow characteristics or one or more pathological characteristics of the patient based on the observed perfusion information and the one or more vascular models.

An AI-based system and method for supporting differential diagnosis and standard of care in healthcare. The method involves receiving patient information from various sources, including patient-reported symptoms, physician notes, and sensor data from medical devices. The patient information is preprocessed and analyzed using deep learning models to generate a ranked list of potential diagnoses, each associated with likelihood scores and key contributing factors. The potential diagnoses are provided to physicians via an interactive interface, and physician feedback is collected to fine-tune the AI models using reinforcement learning. The method aims to enhance physician decision-making, improve diagnostic efficiency, and ensure adherence to the standard of care by leveraging AI's ability to analyze vast amounts of data more effectively than human physicians.

A system and method for determining native cardiac output of a heart while maintaining operation of an intracardiac blood pump includes determining a current drawn by the pump motor, a blood pressure within the ascending aorta, and a change in the blood temperature based on a thermodilution technique. An intracardiac blood pump positioned in the aorta includes at least one sensor for determining a motor current and blood pressure and a thermistor for determining the change in blood temperature after a precise fluid bolus has been introduced into the vasculature. A processor receives current, pressure, and temperature measurements, and calculates a pump flow output and a total cardiac output from which the native cardiac output is calculated. The native cardiac output and other clinically relevant variables derived from the measurements inform decisions related to continued therapeutic care, including increasing or decreasing cardiac assistance provided by the intracardiac pump.

The approach presented here relates to a determination appliance (100) for determining a viscosity of a fluid. The determination appliance (100) has at least one determination device (110) and a provisioning device (115). The determination device (110) is designed to determine the viscosity of the fluid and / or a rotational speed (ω) of a blade wheel (205) for conveying the fluid by using at least one detected volume flow of the fluid and a detected pressure difference of the fluid. The provisioning device (115) is designed to provide or send a viscosity signal (130) representing the viscosity determined by the determination device (110).

An AI-based system and method for providing warning of potential health concerns. The invention involves receiving patient information from various sources, including one or more of sensor data, patient-reported symptoms, and medical records. The patient information is processed using AI models to identify potential health concerns. The AI models may identify user-specific patterns and / or metrics associated with potential health concerns. Tiered alerts may be generated and provided to a user based on the AI analysis. Recommended actions may be generated and provided to the user based on the alert.

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.

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.

The invention provides a field intelligent injection pump automatic control method and system based on physiological parameter monitoring, and relates to the technical field of automatic control. The physiological parameter information is input into an intelligent decision module, a personalized drug administration scheme is generated based on a reinforcement learning algorithm in combination with a physiological function state report and a drug action mechanism knowledge base, and the personalized drug administration scheme comprises a drug ratio, an injection rate and an injection time sequence; the personalized administration scheme is sent to the intelligent injection module, and the injection step is executed; the energy management unit performs energy collection and storage through a flexible photovoltaic film and a phase change energy storage material, establishes a multi-objective optimization function based on drug storage conditions and environmental parameters, and performs intelligent distribution and adaptive adjustment on the power consumption of the injection pump system; the state of the injection pump pipeline is evaluated based on multi-mode sensing information, dynamic safety evaluation is conducted in combination with real-time physiological monitoring, and graded protection is triggered.

A computer-implemented method of processing patient image data comprises: receiving a patient-specific vascular model of an individual, wherein the patient-specific vascular model is based at least in part on medical images acquired of the individual; receiving a patient-specific tissue model of a tissue of the individual; observing an actual perfusion value of the tissue; determining at least one vessel pathology that causes the actual perfusion value; and selecting a candidate updated vascular model of the plurality of candidate updated vascular models that results in a minimum difference between the hypothetical perfusion value and the actual perfusion value; updating the patient-specific vascular model to include the at least one vessel pathology of the selected candidate updated vascular model; and outputting an estimate of a location of the at least one vessel pathology or an estimate of a severity of the at least one vessel pathology.

Apparatus and methods are described including placing, into a subject's body, a blood-pump tube, with an impeller disposed within the blood-pump tube. At least one blood-pressure-measurement element extends to at least an outer surface of the blood-pump tube, such that the distal end of the blood-pressure-measurement element is in direct fluid communication with a bloodstream of the subject outside the blood-pump tube at a location that is proximal to blood-inlet opening(s) defined by the blood-pump tube. Blood is pumped through the blood-pump tube, using the impeller. Pressure of the bloodstream of the subject outside the blood-pump tube is measured by measuring blood pressure at the distal end of the left-ventricular blood-pressure-measurement element. Other applications are also described.

A cognitive computing-based system and a method for non-invasive analysis of one or more physiological indicators using assisted transdermal optical imaging are disclosed. The cognitive computing-based system is configured to obtain multi-modal data from a plurality of sources to preprocess the multi-modal data that includes colored image data, thermal image data, physiological data, and user-provided contextual data. The preprocessed data is used for generating one or more multi-modal features. The cognitive computing-based system is configured to generate unified features representation data for machine learning (ML) models analysis using the extracted one or more multi-modal features. Further, the cognitive computing-based system is configured to perform non-invasive analysis on the unified features representation data to detect temporal trends in the unified features representation data, and generate numerical predictive insights, visual representations data, categorical predictive insights, and recommendation data of the physiological indicators based on the non-invasive analysis of the physiological indicators.

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.

A sensor system for monitoring patients is provided. The sensor system includes a wireless charging dock, one or more patient sensors, and a processing module. The patient sensor is configured to collect patient physiological data and send the data to the processing module. The processing module wirelessly transmits the patient physiological data to a patient monitor system. The wireless charging dock is wirelessly and removably coupled to the processing module to wirelessly provide power for the processing module. The wireless charging dock is magnetically coupled to the processing module.

The present disclosure is directed to intravascular devices, systems, and methods having a core member coupled to a shaping ribbon with an adhesive. In some aspects, a sensing guide wire is provided. The sensing guide wire can include a flexible elongate member; and a sensing element coupled to a distal portion of the flexible elongate member, wherein the distal portion of the flexible elongate member includes: a core member; and a shaping ribbon fixedly secured to the core member by an adhesive and at least one connecting sleeve. In other aspects, methods of forming a sensing guide wire are provided.

A noninvasive blood pressure monitor. The noninvasive blood pressure monitor may include an inflatable cuff, a pressure transducer, one or more air pumps, and a processor. The processor may control the air pump(s) so as to initiate inflation of the cuff. The processor may also identify an oscillometric signal in an output of the pressure transducer, and may determine an envelope of the oscillometric signal. The processor may also determine one or more characteristics of the envelope of the oscillometric signal, and may control the air pump(s) so as to stop inflation of the cuff based on the one or more characteristics of the envelope of the oscillometric signal.

The invention relates to the technical field of health state analysis, in particular to an intelligent health state analysis system and method based on artificial intelligence, and the method comprises the following steps: S1, collecting multi-modal health data; s2, data preprocessing and anomaly detection: preprocessing the collected multi-modal data; s3, multi-modal data fusion and feature selection: carrying out feature fusion on data of different modals through a deep learning model, and carrying out feature extraction on time sequence data by adopting a convolutional neural network (CNN); s4, health state prediction and trend analysis: performing prediction analysis on the health state of the user based on a long and short term memory network (LSTM), and generating a health state trend chart of the user in combination with historical health data and real-time data; and S5, personalized health intervention suggestions are generated: personalized health management suggestions are automatically generated, a more comprehensive health assessment result is provided, the user can better know the own health condition, and personalized management is carried out.

The invention discloses a critical patient nursing intelligent monitoring system and method, and relates to the technical field of intelligent monitoring. Collecting physiological data and activity data of a patient in real time by using a multi-sensor system, and establishing an initial health file of the patient; according to the collected physiological data and activity data, daily activities and behavior modes of the patient are analyzed, and an individualized health baseline is established; monitoring physiological data and activity data of the patient in real time, identifying an abnormal trend, and generating an early warning signal; preferentially distributing nursing measures according to the state of the patient; the nursing measure effect is evaluated, and if the expected nursing effect is not achieved, the monitoring strategy is readjusted; according to the invention, the health state of the patient is comprehensively monitored and accurately analyzed in real time, so that abnormity can be found and intervened in time when the abnormity occurs, the patient can be nursed and treated in time, waste of nursing resources and nursing errors are reduced, and the treatment effect and the nursing quality of the critical patient are improved.

The invention relates to the technical field of health assessment, in particular to a big data-based breathing health assessment system, which comprises a breathing parameter analysis module, an interaction relationship assessment module, a breathing anomaly detection module and a breathing condition assessment module. According to the method, accurate extraction of breathing parameters and evaluation of breathing periodic changes are achieved by analyzing thoracic pressure waveform data, the breathing mode of a user is accurately recognized, physiological parameters are collected, the mutual relation between the physiological parameters and the breathing mode is analyzed, the influence of various physiological factors on breathing health is revealed, the dynamic monitoring capacity on the breathing health is enhanced, and the user experience is improved. According to the method, by combining detection and identification of abnormal breathing parameters, identification and classification of abnormal breathing reasons are achieved, medical professionals are helped to make treatment plans and health management strategies, diagnosis efficiency is improved, the misdiagnosis rate is reduced, and powerful support is provided for management of various chronic diseases by combining continuous trend analysis.

The invention relates to the technical field of image processing, and discloses an AR technology-based precise positioning method and system for minimally invasive surgery of hepatobiliary surgery. The method comprises the steps that blood vessel network data are extracted through a medical image sequence, a three-dimensional structure diagram is generated, operation target points are marked, and a coordinate system is established; collecting dynamic data for mapping matching, and establishing a real-time tracking model; constructing an augmented reality scene and implanting a navigation path; acquiring an instrument position calculation track, and comparing with a navigation map to generate an instruction; constructing a projection interface to display the key area; recording the whole process and evaluating the operation quality. By establishing the real-time tissue deformation tracking model, a multi-source data fusion accurate positioning mechanism and an intelligent operation quality evaluation system, the accuracy and reliability of operation navigation are effectively improved.

The invention relates to the field of mental health assessment, and discloses a depression risk prediction model construction method based on multi-modal sample information, and the method comprises the following steps: collecting and preprocessing physiological signals, voice features and micro-expression action data; performing phase-space reconstruction on the physiological signal; constructing a manifold model, and extracting local geometric features of the multi-modal signals; the short-term dynamic change and the long-term trend of the signals are separated through a multi-scale variational mode decomposition method; performing dynamic weighted fusion on the multi-modal features by adopting a self-attention mechanism to generate a unified high-quality feature vector; and constructing a nonlinear state space model based on the fusion features, optimizing a state transition and output relationship through extended Kalman filtering, and generating a real-time emotional state and depression risk score. The method can accurately capture the dynamic characteristics of the multi-modal signal, significantly improves the accuracy and robustness of depression risk prediction, and provides efficient technical support for mental health assessment and intervention.

The present invention relates to systems and methods for integrating real-world functionalities, such as healthcare services, into a virtual environment (metaverse) using digital avatars and data security measures. Users can access services through their avatars, maintaining anonymity and data security. The system securely transmits user requests and data to real-world service providers, who provide services or feedback within the virtual environment. Data security ensures confidential and tamper-proof data transmission and facilitates secure payment transactions. The invention enables the integration of various real-world services into the metaverse, enhancing its functionality and utility while preserving user privacy and security.

The systems and methods described herein determine metrics of cardiac performance via a mechanical circulatory support device and use the cardiac performance to calibrate, control and deliver mechanical circulatory support for the heart. The systems include a controller configured to operate the device, receive inputs indicative of device operating conditions and hemodynamic parameters, and determine vascular performance, including vascular resistance and compliance, and native cardiac output. The systems and methods operate by using the mechanical circulatory support device (e.g., a heart pump) to introduce controlled perturbations of the vascular system and, in response, determine heart parameters such as stroke volume, vascular resistance and compliance, left ventricular end diastolic pressure, and ultimately determine native cardiac output.

Systems and methods are provided for improving soft tissue contrast, characterizing tissue, classifying phenotypes, stratifying risk, and performing multi-scale modeling aided by multi-energy or multi-contrast excitation and evaluation, including using single and multi-phase acquisitions, as well as broad and localized spectral imaging to assess atherosclerotic plaque tissue, for example, in vessel walls and perivascular spaces.

Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and / or track coronary artery disease.

This application is directed to systems, methods, and devices for image based analysis of plaque. In some embodiments, the approaches herein can be used for developing treatment plans, which can include local treatment, systemic treatment, or both. In some embodiments, the approaches herein can be used for stent selection. In some embodiments, the approaches herein can be used for surgical planning, which can include robotic surgical planning. In some embodiments, the approaches herein can be used for image normalization. In some embodiments, the approaches herein can be used for identifying plaque calcification thresholds. In some embodiments, the approaches herein can be used for identifying thin cap fibroatheroma. In some embodiments, the approaches herein can be used for coronary artery tree reconstruction. Some embodiments are directed to coronary artery disease risk stratification.

A method of performing a neurovascular procedure includes the steps of providing an access catheter having an access catheter hub; coupling the access catheter hub to a hub adapter, movably carried by a support table; driving the access catheter in response to movement of the hub adapter along the table until the access catheter is positioned to achieve supra-aortic vessel access; removing the access catheter and access catheter hub from the hub adapter; and coupling a procedure catheter hub having a procedure catheter to the hub adapter.