17 results about "Vascular compliance" patented technology

The present disclosure provides apparatus and methods to both infer stent expansion (vessel expansion or compliance) and probability of procedural success (vessel patency) from pretreatment diagnostic imaging at the point-of-care and also train an inference model to generate such an inference, thus allowing a physician to choose with greater certainty an optimal treatment tool and treatment protocol for treating a vessel of a patient.

The invention discloses a staged pump speed regulation and control implementation method for improving VA-ECMO cycle stability, and relates to the technical field of biomedical engineering. The method comprises the following steps: acquiring a real-time aorta pressure waveform, a peripheral artery pressure waveform and an ECMO post-pump pressure waveform of a patient, and extracting pulse wave characteristics, a pressure oscillation amplitude and phase deviation information; calculating a heart-ECMO blood flow intersection collision intensity index and evaluating a heart load state grade; acquiring a vascular compliance estimated value of a patient, and determining a target pump speed adjusting mode and adjusting amplitude according to a hierarchical regulation strategy library; and the current actual pump speed is obtained, a speed regulation decision is made, the ECMO pump is driven to execute graded stepped pump speed regulation, and the regulation speed is dynamically corrected in real time in the regulation process until the cyclic stable interval is reached. Quantitative evaluation and self-adaptive regulation and control of the pump speed are achieved, hemodynamic fluctuation is inhibited, and the stability and safety of VA-ECMO cycle support are improved.

The invention relates to the technical field of hemodialysis capacity load evaluation, in particular to a chronic kidney disease patient hemodialysis capacity load evaluation method, which comprises the following steps: acquiring staged ultrafiltration rate and body position angle time sequence data in dialysis in real time, generating ultrafiltration and body position coupling time period marks through a space-time matching algorithm, and determining the hemodialysis capacity load of a chronic kidney disease patient according to the ultrafiltration and body position coupling time period marks. During a coupling period, ambulatory blood pressure, jugular vein diameter and pulse wave conduction velocity data are collected at high frequency, an ultrafiltration rate fluctuation value, a body position angle change value and collected physiological index data are input into a pre-training interference calibration model, and blood vessel compliance false interference is decoupled through feature fusion and cross-modal correlation analysis. And finally, combining the weight difference before and after dialysis and biomarker detection data, calculating a dry weight deviation coefficient, and judging capacity overload, capacity insufficiency or a critical state, thereby providing an accurate basis for adjustment of a dialysis scheme, and improving the accuracy and safety of capacity load evaluation.

A vascular implant is provided for increasing the efficiency of blood flow through an aorta. The vascular implant includes a tubular shunt having a lumen for allowing blood to pass between an aorta and an inferior vena cava. An expandable reservoir is sized for placement in the inferior vena cava. The reservoir has a first region coupled to the tubular shunt and may include a second region formed with an exit port for allowing some blood to escape the reservoir into the inferior vena cava. The exit port reduces the possibility of stagnation in the reservoir. High pressure blood from the aorta temporarily passes through the tubular shunt and into the reservoir, such as during systole. When blood pressure reduces in the aorta, blood from the reservoir passes from the reservoir and through the shunt where it reenters the aorta, such as during diastole.

The present invention relates to a device, system and method for monitoring of peripheral arterial perfusion of a subject. To enable distinguishing between low pulsatility caused by centralization or low cardiac output, the proposed device comprises an input (30) for receiving first detection data of a tissue region of a subject, said first detection data being acquired over time by detecting radiation reflected from and / or transmitted through tissue of the subject, and for receiving second detection data of a skin region of subject, said second detection data being acquired over time by detecting radiation received from said tissue region in response to coherent light being emitted towards said skin region, a PPG unit (32) for deriving a photoplethysmography, PPG, signal from said first detection data, a flow unit (34) for deriving, from said second detection data, a flow signal indicative of a flow of light scattering particles within the skin region, and an evaluation unit (36) for evaluating said PPG signal and said flow signal to obtain information on the peripheral arterial perfusion, wherein the evaluation unit is adapted to determine a state of low vascular compliance and / or a state of low cardiac output based on a combined evaluation of said PPG signal and said flow signal.

Spring devices are disclosed that may be used for cyclical blood vessel reshaping for vascular compliance enhancement. Such devices can include a first tissue-contact pad, a second tissue-contact pad oriented in a parallel with the first tissue-contact pad, and a spring mechanism coupled to the first tissue-contact pad and the second tissue-contact pad, the spring mechanism being configured to compress between the first tissue-contact pad and the second tissue-contact pad according to a negative spring rate.

This application discloses a testing system and method for artificial heart valve implants, relating to the field of medical device testing technology. The system includes: a ventricular simulator, an atrial simulator, a highly transparent and compliant valve testing chamber containing an artificial heart valve, a vascular compliance simulator, and a vascular damping simulator forming a circulation loop, a high-speed camera, and a laser generator. The circulation loop simulates the blood flow environment of the artificial heart valve, with a tracer particle suspension added to the flow medium. The ventricular simulator, atrial simulator, vascular damper, and vascular compliance simulator provide power, storage space, resistance, and pulse pressure to the flow medium, respectively. The laser generator and high-speed camera work together to acquire particle images after implantation of the artificial heart valve. The particle images are uploaded to a computer for visual analysis of the heart valve pulsating flow field based on digital particle image velocimetry technology, thereby enabling quantitative analysis of the risk after implantation at the intended site.

The invention provides a non-invasive blood pressure waveform reconstruction method based on 3D blood vessel modeling and a depth sequential network, and belongs to the field of non-invasive physiological signal processing and cardiovascular function evaluation. The method comprises the following steps: constructing a physiological simulation model containing a vascular network from a radial artery to a fingertip by adopting VTK; the method comprises the following steps: integrating a Moens-Korteweg wave equation, a vascular compliance model and a Beer-Lambert optical law, and establishing a signal conversion model from ABP to PPG; designing a deep sequential network architecture comprising a U2-Net nested U-shaped structure and a bidirectional time processor (BTP); aBP waveform reconstruction is realized through a depth supervision strategy and a combined loss function; and finally, closed-loop application is realized in a hardware system integrated with the MAX30102 sensor and the STM32F103 processor. Experiments show that according to the method, the prediction precision of SBP 2.48 + / -1.95 mmHg and DBP 1.42 + / -1.42 mmHg is achieved in an MIMICII data set, and the AAMI standard is achieved. Through combination of theoretical modeling and an intelligent algorithm and implementation of a hardware system, a novel noninvasive monitoring scheme is provided for family health monitoring.

The disclosed concepts are directed to providing protocols, ideas, concepts, designs, methods and systems related to determining vascular compliance of a subject. In particular, blood pressure and arterial flow of first and second arteries (corresponding arteries on the same or contralateral limb) are measured (e.g., as a function of arterial diameter and / or velocity at which blood travels through the arteries). The pulse pressure can be determined from the blood pressure and the pulse quantity can be determined from the arterial flow. Vascular compliance can be determined from the pulse pressure and the volumetric pressure. Therefore, a direct and accurate vascular compliance estimation result can be obtained in a non-invasive manner. Also disclosed is using the determined vascular compliance in a transfer function to obtain accurate hemodynamic parameter estimates (e.g., cardiac output and stroke output) of a subject.

The invention relates to a thrombectomy device, which comprises a controllable expansion stent, a hollow pipeline and a slender control piece, and is characterized in that the controllable expansion stent is formed by weaving a plurality of monofilaments; the hollow pipeline is formed by converging a plurality of monofilaments at one end of the controllable expansion stent, and the plurality of monofilaments are wound and arranged in order in a single-layer manner in the circumferential direction to form a single-layer array; the slender control component extends to the far end of the thrombectomy device, is fixedly connected with the far end of the controllable expansion support and is used for controlling expansion and contraction of the controllable expansion support. By changing the pitches of the hollow pipelines in different sections, the thrombectomy device can obtain the optimal balance between the conveying rigidity and the blood vessel compliance, the accurate bending control capacity is provided while sufficient pushing force is guaranteed, the thrombectomy device can safely and efficiently reach the deep target position of the brain blood vessel, and the accurate thrombectomy operation is completed.

The invention belongs to the field of traditional Chinese medicine food-nourishing and microbial fermentation, and particularly relates to a combined traditional Chinese medicine fermented food-nourishing composition and a preparation method thereof.The combined traditional Chinese medicine fermented food-nourishing composition comprises traditional Chinese medicine enzymolysis powder, nitric oxide regulation and control premix powder and medicinal and edible auxiliary materials; wherein the mass ratio of the traditional Chinese medicine enzymolysis powder to the nitric oxide regulation and control premix powder to the medicinal and edible auxiliary materials is 3: 1: 6. The composition shows remarkable efficacy synergy, and compared with a single traditional Chinese medicine component, through the multi-target effect of traditional Chinese medicine-strain-NO, the concentration of nitric oxide (NO) in serum is remarkably improved by 35%-45%, and the cGMP level is improved by 25%-30%. In an animal model, coronary blood flow of myocardial ischemia model rats can be effectively increased by 20%-25%, myocardial oxygen consumption can be effectively reduced by 15%-20%, systolic pressure of hypertension model mice can be reduced by 10-15 mmHg, vascular compliance can be improved by 18%-22%, and heart and vascular functions can be synergistically protected from multiple dimensions.

This invention relates to the field of photoelectric physiological sensing technology and discloses a non-invasive health monitoring system based on photoplethysmography pulse wave and multi-sensor fusion, comprising: a multi-wavelength photoelectric sensing module, a thermoelectric sensing module, a motion vector acquisition module, and a physiological feature restoration unit. This unit identifies the pressure state based on the rate of change of acceleration data, extracts a reference green light recovery curve and calculates the blood flow filling time constant, determines vascular compliance parameters using local body temperature and performs nonlinear correction based on the filling time constant, generates motion artifact components with tissue pressure hysteresis characteristics by combining acceleration data, and restores the physiological pulse wave signal from the original signal by differential analysis. This invention establishes a viscoelastic model by capturing the physiological refill process, achieving physical decoupling between physiological signals and motion noise, and ensuring the stability of the monitoring benchmark under dynamic conditions.

This invention discloses a systemic circulation venous simulation system, comprising a right ventricular simulation component, an arterial compliance simulation component, a venous vessel module, a damping module, a throttling valve, a collapsible venous segment, a venous compliance simulation component, a right atrial simulation component, a drive module, and a data acquisition module. The right ventricular simulation component simulates the pumping function of the right ventricle; the arterial compliance simulation component simulates the elastic energy storage characteristics of the arterial system; the venous vessel module includes a collecting chamber, a superior vena cava return vessel, an inferior vena cava return vessel, and a vena cava confluence conduit; the collapsible venous segment prevents excessive negative pressure in the venous system; the venous compliance simulation component reduces the impact of right atrial pressure fluctuations on the venous vessels; and the right atrial simulation component simulates the right atrial filling state through internal volume changes. This simulation system can be used for in vitro testing of vena cava intervention devices.

The present application belongs to the field of medical devices and physiological signal detection technology, and relates to a pulse wave analysis method and system based on piezoelectric dynamics characteristics. The present application compensates for the attenuation of the subcutaneous tissue on the pulse wave through active acoustic detection, emits high-frequency mechanical vibration waves at the end of diastole using multi-frequency voltage pulses, and receives reflected echoes to construct an equivalent acoustic impedance transfer function and an acoustic inverse compensation filter. The present application restores the true arterial vessel wall dynamics by performing frequency domain deconvolution operation on the original pulse wave signal, locates key physiological event points, estimates the local pulse wave propagation speed using a single-point piezoelectric sensor without the need for multi-point measurement. In combination with the fluid mechanics equation, the present application separates the forward incident wave and the backward reflected wave, calculates the absolute amplitude ratio to evaluate the vascular compliance, effectively eliminates the interference of subcutaneous fat and muscle tissue, improves the accuracy and reliability of the evaluation, and provides a new tool for cardiovascular function evaluation.

A system for explainable and adaptive processing of photoplethysmography signals using artificial intelligence for personalized health monitoring, comprising: - a physiological sensor unit consisting of at least one optical emitter and at least one photodetector configured to acquire photoplethysmography signals from biological tissue; - an analog processing unit electrically connected to the physiological sensor unit and configured to amplify, filter, and digitize acquired photoplethysmography signals; - a signal quality assessment processor configured to determine signal integrity features such as motion distortion, baseline deviations, optical background noise, pulse irregularities, and waveform discontinuities associated with the digitized photoplethysmography signals;- an adaptive preprocessing processor that is communicatively linked to the signal quality assessment processor and configured to dynamically modify the signal conditioning parameters based on determined signal integrity features, with the adaptive preprocessing processor performing frequency-selective filtering, motion artifact suppression, waveform normalization, and cardiac cycle segmentation; - a physiological representation processor configured to extract physiologically derived parameters such as heart rate variability, pulse waveform morphology, vascular compliance indicators, pulse interval measurements, and waveform reflection properties from segmented cardiac cycles; - a machine learning processor configured to generate data-driven feature representations from the segmented cardiac cycles using temporal sequence analysis and convolutional waveform analysis;- a hybrid feature integration processor configured to combine physiology-derived parameters and data-driven feature representations into a unified multidimensional physiological representation structure; a context inference processor configured to integrate the unified multidimensional physiological representation structure with contextual data including user activity conditions, temporal physiological patterns, environmental conditions, and individual baseline features to generate personalized health-related outputs; - a personalization processor configured to continuously update preprocessing parameters, feature weighting parameters, and inference thresholds using longitudinal physiological observations;and a communication unit configured to transmit generated health-related outputs to at least one external monitoring device, healthcare interface, or remote computing infrastructure.