16 results about "Arterial stiffness" patented technology

The invention provides a multi-parameter collaborative cardiovascular health monitoring system and method, and the system comprises a millimeter wave radar collection module which is used for collecting a multi-dimensional physiological signal of a target user; the third-stage signal processing module is used for carrying out noise reduction processing on the multi-dimensional physiological signals and carrying out layered feature extraction on the multi-dimensional physiological signals subjected to noise reduction to obtain multi-dimensional physiological feature parameters; and the fourth-order crowd adaptation AI evaluation module is used for carrying out crowd segmentation on the target user to obtain segmented crowds, dynamically adjusting the weight ratio of each feature parameter in the multi-dimensional physiological feature parameters according to the segmented crowds to obtain dynamic adjustment feature parameters, and carrying out blood pressure calculation, angiosclerosis calculation and vascular risk prediction according to the dynamic adjustment feature parameters. And obtaining a blood vessel health monitoring result. According to the embodiment of the invention, through software optimization and measurement technology expansion, the cardiovascular health monitoring accuracy and the application range are further improved.

The application discloses a closed-loop dynamic modeling system for heart, blood vessels and brain, and relates to the field of physiological system modeling.The system comprises a signal processing module, a closed-loop dynamic modeling module, a personalized training module and a state analysis module; the signal processing module extracts a feature sequence from multi-modal physiological signals; the closed-loop dynamic modeling module constructs a dynamic skeleton with physical differential equations, and embeds a neural network subject to physical constraints in nonlinear regulation nodes of brain central control, autonomic nervous regulation, heart blood pumping and blood vessel transmission to generate a dynamic numerical trajectory of system state variables; the personalized training module firstly fixes the neural network on resting state data to determine physical model parameters, and then jointly optimizes the neural network and the physical model parameters based on data fitting terms and physiological constraint terms on load task data; and the state analysis module calculates brain-heart sympathetic drive gain, pressure reflex sensitivity and blood vessel hardening index to determine dominant factors of cardiovascular regulation function.

The application relates to the technical field of wearable medical devices, and particularly provides a blood vessel hardening evaluation device, system and method based on multi-physiological parameter fusion and dynamic load testing, which comprises a wearing body and a processing system integrated on the wearing body, the processing system comprising: a signal synchronous acquisition module for synchronously acquiring PPG signals, ECG signals and motion measurement signals; a physiological parameter estimation module for calculating first-type physiological parameters based on the PPG signals and the ECG signals; a comprehensive index generation module for generating a blood vessel health comprehensive index of a user according to the first-type physiological parameters and static personal information of the user; a dynamic function evaluation module for generating a dynamic recovery index of the user; and an evaluation data output module for outputting final evaluation data based on the blood vessel health comprehensive index and / or the dynamic recovery index. The device realizes non-invasive, dynamic and high-credibility system evaluation of the blood vessel health condition under the condition of convenient wearing.

This invention relates to the field of wearable medical device technology, specifically to a flexible wristband for health monitoring of the elderly integrating multiple sensors. It includes a smartwatch body with four symmetrically arranged grooves on the bottom. Each groove has a first electromagnetic plate installed on its inner top wall, and a column is fixedly connected to the bottom of the first electromagnetic plate. A sleeve is fitted onto the outer wall of the column. The integrated blood glucose monitoring microneedle module of this invention uses a micron-level painless needle that can painlessly penetrate the stratum corneum to obtain interstitial fluid. Combined with multimodal analysis technology, the measurement accuracy reaches medical grade, solving the problem of insufficient accuracy in traditional non-invasive devices while avoiding the discomfort of invasive blood collection. This results in high compliance among the elderly. It integrates multiple monitoring functions such as blood glucose, blood pressure, heart rate, blood oxygen, arterial stiffness, and fall detection, achieving full coverage of chronic disease management and health risk warning. It eliminates the need to wear multiple devices, meeting the needs of the elderly for joint prevention and control of multiple diseases.

Pulse wave velocity (PWV) is a measure of arterial stiffness and a cardiovascular disease risk factor. Accurate PWV estimation is difficult due to complex arterial dynamics, such as longitudinal motion and natural tissue oscillations. This present disclosure relates to a robust, motion-resistant PWV estimation framework including: 1) tracking and compensating for arterial longitudinal wall motions, 2) suppressing undulating arterial motion via common mode rejection, and 3) enhancing differential signals to extract wall expansion. In vitro experiments with induced lateral motion indicate the framework's PWV estimates (6.19±0.33 m / s) closely matched reference values (6.26±0.12 m / s; error: 1.1%), outperforming methods without motion compensation (4.46±1.78 m / s; error: 28.8%). In vivo trials with five healthy subjects showed an average PWV of 4.18±0.56 m / s using the motion-resistant method, compared to 2.54±0.95 m / s without motion compensation (p<0.005). This framework enhances PWV estimation reliability, offering clinical potential for better arterial stiffness assessment and cardiovascular risk stratification.

The application provides a multi-parameter cooperative cardiovascular health monitoring system and method, which comprises: a millimeter wave radar acquisition module for acquiring multi-dimensional physiological signals of a target user; a three-level signal processing module for carrying out noise reduction processing on the multi-dimensional physiological signals and carrying out hierarchical feature extraction on the noise-reduced multi-dimensional physiological signals to obtain multi-dimensional physiological feature parameters; a four-order population adaptation AI evaluation module for carrying out population subdivision on the target user to obtain a subdivided population, dynamically adjusting the weight proportion of each feature parameter in the multi-dimensional physiological feature parameters according to the subdivided population to obtain dynamically adjusted feature parameters, and carrying out blood pressure calculation, blood vessel hardening calculation and blood vessel risk prediction according to the dynamically adjusted feature parameters to obtain a blood vessel health monitoring result. The application embodiment further improves the cardiovascular health monitoring accuracy and the application range through software optimization and measurement technology expansion.

The invention discloses a hemodialysis needle withdrawal pressure anti-leakage hemostasis protector, and relates to the technical field of medical hemostasis instruments, the hemodialysis needle withdrawal pressure anti-leakage hemostasis protector comprises a pressing assembly, the pressing assembly comprises a fixing plate, a protective pad is fixed to the bottom of the fixing plate, a cavity is formed in the protective pad, a pressing block is arranged in the cavity, a connecting plate is fixed to the top of the pressing block, and a first spring is fixed to the top of the connecting plate; a movable plate is fixed to the top end of the first spring, the top of the movable plate is rotationally connected with a threaded sleeve, and a movable column is in threaded connection in the threaded sleeve. The device has the advantages that by arranging the pressing assembly, constant pressing force can be applied to a needle eye, it can be ensured that the pressing force accurately matches the clinical hemostasis standard, the defect of force fluctuation caused by manual pressing is avoided, the problems of needle eye errhysis and subcutaneous extravasated blood caused by insufficient pressure are solved, blood vessels and peripheral soft tissue are prevented from being damaged by too large pressure, and the hemostatic effect is improved. The risk of complications such as angiosclerosis and hematoma is reduced.

An apparatus for measuring stiffness of a blood vessel such as an artery acquires a flow velocity waveform which is used to determine Natural Resonant Frequency and Pulse Wave Velocity for an arterial location. Pulse Wave Velocity is an established index of arterial stiffness while Natural Resonant Frequency is an index of arterial stiffness. The apparatus includes a flow velocity waveform detecting unit, a flow velocity and timing data extraction unit, and natural resonant frequency and pulse wave velocity determination units.

This utility model discloses a mastoid corona balloon catheter, including a balloon and a catheter. The outer surface of the balloon has an array of protrusions. A corona generator is located in the working section of the catheter within the balloon. The outer surface of the balloon has pits, with the protrusions positioned within these pits. Compared to existing technologies, by providing protrusions on the outer surface of the balloon, the balloon is instantaneously pressurized by a corona pulse. The balloon's expansion force acts on the narrowed portion of the blood vessel through the protrusions, causing the atherosclerotic plaques in the diseased blood vessel to rupture or loosen. Compared to ordinary corona pulse shockwave balloons, the protrusions on the outer surface of the balloon concentrate the balloon pulse expansion force on the blood vessel wall, especially for severely calcified vascular lesions, thus improving the effectiveness of vasodilation.

1. The name of the design product: graphical user interface for blood pressure arteriosclerosis sphygmomanometer. 2. The use of the design product: for arteriosclerosis and blood pressure measurement. 3. The design points of the design product: in the graphical user interface and expression design. 4. The picture or photo that best indicates the design points: design 2 front view. 5. The sphygmomanometer is an existing design, and other views of designs 1 to 4 are omitted. 6. Design 2 is designated as the basic design. 7. The use of the graphical user interface: for the user to view blood pressure measurement progress, arteriosclerosis indicators, arteriosclerosis measurement progress, and perform setting systems. 8. The area of the graphical user interface in the product: the display interface of the arteriosclerosis sphygmomanometer. 9. The human-computer interaction mode of the graphical user interface: each design view can be selected by operating physical keys or touch screens.

Pulse wave velocity (PWV) is a measure of arterial stiffness and a cardiovascular disease risk factor. Accurate PWV estimation is difficult due to complex arterial dynamics, such as longitudinal motion and natural tissue oscillations. This present disclosure relates to a robust, motion-resistant PWV estimation framework including: 1) tracking and compensating for arterial longitudinal wall motions, 2) suppressing undulating arterial motion via common mode rejection, and 3) enhancing differential signals to extract wall expansion. In vitro experiments with induced lateral motion indicate the framework's PWV estimates (6.19±0.33 m / s) closely matched reference values (6.26±0.12 m / s; error: 1.1%), outperforming methods without motion compensation (4.46±1.78 m / s; error: 28.8%). In vivo trials with five healthy subjects showed an average PWV of 4.18±0.56 m / s using the motion-resistant method, compared to 2.54±0.95 m / s without motion compensation (p<0.005). This framework enhances PWV estimation reliability, offering clinical potential for better arterial stiffness assessment and cardiovascular risk stratification.

Methods, systems, and devices for pregnancy illness detection and tracking are described. A wearable device may receive pulse wave velocity data associated with a user and may determine a time series of a plurality of pulse wave velocity values taken over a plurality of days to identify a baseline value for the user associated with a blood pressure, an arterial stiffness, or both. The wearable device may detect an indication of one or more conditions experienced during a pregnancy of the user based on a first variation in one or more additional pulse wave velocity values from the baseline value, wherein the indication of a condition is detected based on a comparison of the first variation with a second variation associated with a current stage of the pregnancy of the user. A user device may be configured to display a message corresponding to the detected indication of the condition.

Sclerosing agent for use in treating a varicose, reticular or spider vein, wherein the sclerosing agent is administered in a formulation further comprising a water-soluble cellulose derivative, pharmaceutical composition comprising a sclerosing agent and a water-soluble cellulose derivative as well as a kit or a method for producing a foam comprising a sclerosing agent and a water-soluble cellulose derivative.

Methods, systems, and devices for pregnancy illness detection and tracking are described. A wearable device may receive pulse wave velocity data associated with a user and may determine a time series of a plurality of pulse wave velocity values taken over a plurality of days to identify a baseline value for the user associated with a blood pressure, an arterial stiffness, or both. The wearable device may detect an indication of one or more conditions experienced during a pregnancy of the user based on a first variation in one or more additional pulse wave velocity values from the baseline value, wherein the indication of a condition is detected based on a comparison of the first variation with a second variation associated with a current stage of the pregnancy of the user. A user device may be configured to display a message corresponding to the detected indication of the condition.

The application provides a kind of medicine composition for regulating blood pressure and blood fat and its preparation method, belongs to the technical field of biopharmaceutical, and the medicine composition includes the carved shell extraction peptide, white ground mold intracellular extract, salvianolic acid B, total alkaloids of Uncaria and hawthorn total flavone.The carved shell extraction peptide is the product of fresh meat of carved shell after being crushed by alkaline protease, serratia peptidase and trypsin.The white ground mold intracellular extract is the product obtained by the following steps: ultrasonic disintegration of mycelium of white ground mold in ethanol aqueous solution, reflux extraction, centrifugation, removal of ethanol, purification by AB-8 weak polar macroporous adsorption resin, elution with ethanol aqueous solution, and removal of ethanol.The components are used in a certain proportion, which can simultaneously improve the vascular sclerosis damage caused by abnormal blood pressure and blood fat, and regulate blood pressure and blood fat index and maintain the blood vessels.

The invention relates to the field of medical electronic technology and health monitoring, and discloses an elderly cardiovascular risk home intelligent assessment and grading early warning system, which comprises a wearing main body, an excitation module, a sensing module and a processing control module. The excitation module is configured to apply micro-mechanical vibration to a radial artery area, and the sensing module collects a mechanical response signal, a photoelectric volume signal and attitude data. The processing control module analyzes the vascular complex impedance on the basis of a Kelvin-VoIP model, and vascular wall viscoelasticity parameters are separated out; meanwhile, the hydrostatic pressure variation caused by gravity is calculated through the limb vertical height difference, and the angiosclerosis index is solved in combination with the vascular wall pressure nonlinear constitutive relation. And the system outputs a graded early warning instruction based on the multi-dimensional risk feature vector and hysteresis comparison logic. According to the invention, non-intrusive vascular impedance dynamic chromatography and cardiovascular risk quantitative evaluation are realized through active micromechanical excitation and gravity hydrostatic pressure modulation technologies.