35 results about "Arterial velocity" patented technology

A system and method for measuring pulse wave velocity. In some embodiments, a system includes: a pulse timing sensor, including: a first wearable speckleplethysmography sensor; and a second wearable speckleplethysmography sensor, the first wearable speckleplethysmography sensor being configured to measure a blood flow velocity at a first point, on a first artery, and the second wearable speckleplethysmography sensor being configured to measure a blood flow velocity at a second point on a second artery.

The present invention relates to a weighing scale (100) for monitoring biometric data of a user (180). The weighing scale (100) comprises a first set and a second set of multiple electrodes disposed on one or more handles (120) for making contact with a first hand and a second hand of the user (180). The weighing scale (100) further comprises a base (140) for supporting the user (180) and determining a weight of the user (180). A first portion of a top surface of the base (140) comprises a third set of multiple electrodes for making contact with a first foot of the user (180) and a second portion of the top surface of the base (140) comprises a fourth set of multiple electrodes for making contact with a second foot of the user (180). The weighing scale (100) further comprises processing circuitry for obtaining a plurality of biometric signals and determining a pulse wave velocity (PWV) of the first hand and the second hand and the first foot and the second foot of the user (180) based on the plurality of biometric signals to estimate a peripheral arterial disease (PAD) risk of the user (180).

The present invention relates to a composition comprising a complex extract of Coptis japonica, Phellodendron Chinensis, Scutellaria baicalensis, Gardenia jasminoides, and Rheum palmatum. The composition was confirmed to: reduce the levels of blood cholesterol, blood lipids, and blood LDL-cholesterol in patients with dyslipidemia; reduce systolic blood pressure without affecting diastolic blood pressure and pulse rate in patients with hypertension; reduce the level of pulse wave velocity (PWV), which is an indicator of arteriosclerosis, in patients with atherosclerosis, and inhibit the recurrence rate for up to 5 years in patients with cerebral infarction. Accordingly, the composition is provided as a therapeutic agent for dyslipidemia, hypertension, arteriosclerosis, or cerebral infarction. In particular, the composition is made into an encapsulated form rather than conventional decoctions, to reduce the content of geniposide, which is reported as a side effect component, and thus an optimal composition which maintains efficacy against dyslipidemia and does not cause side effects is provided.

An intravascular ultrasound transducer assembly for monitoring stiffness of a vessel wall. The assembly comprises a catheter shaft sized and shaped for insertion inside a vessel having a vessel wall and one or more intravascular devices integrated on the catheter shaft. The one or more intravascular devices are configured to monitor at least one of i) at least one anatomic structure of the vessel wall in response to a pulse wave being launched on the vessel wall so that a pulse wave velocity is determined, by operating in a pulse echo mode to track the at least one anatomic structure, and ii) signals indicative of an ambient pressure of the ultrasound transducer assembly, wherein the ambient is defined by a balloon encapsulating one of the one or more intravascular devices. The pulse wave velocity and the ambient pressure are related to, i.e., proportional to, the stiffness of the vessel wall.

The invention pertains to a device designed for non-invasive monitoring of blood pressure by measuring changes in blood volume within a subject's tissue. The device includes multiple light sources and photodiodes, organized into groups. Each group consists of at least one light source and multiple photodiodes placed at various distances from the light source. This configuration allows for the detection of reflected light that carries photoplethysmography (PPG) signals from different depths within the tissue. The device features a processing unit that processes the PPG signals to perform signal separation analysis, distinguishing the signals from various tissue depths. The processing unit also calculates pulse wave velocity (PWV) by examining the time difference between detections at photodiodes located at different distances. This PWV is subsequently used to estimate the subject's blood point pressure using a predetermined correlation between PWV and blood pressure.

A smart ring (104) for detecting atrial fibrillation using photoplethysmography is disclosed The smart ring (104) includes a PPG sensor for gathering PPG signals corresponding to the blood flow data of the user (102). A user device (106) receives the blood flow data and extracts a plurality of features from the blood flow data including time between heartbeats (RR intervals), variability in RR intervals, absence of P waves, presence of rapid and irregular heartbeat, SpO2, amplitude and width of the peaks, harmonic components of PPG, pulse wave velocity, etc. A weightage is assigned to each of the features. Further, the user device (106) implements a machine learning model (166) to detect a probability of occurrence of AFib based on the blood flow data. The user device (106) may further notify the user (102) about the probability of occurrence of AFib.

Some disclosed devices include a light source system, an ultrasonic receiver system and a control system. The control system may be configured to receive first sensor signals, including ultrasonic receiver signals, from the ultrasonic receiver system and to estimate one or more blood vessel features based on the first sensor signals. The control system may be configured to receive second sensor signals from a second sensor and to estimate a PWV based on the first sensor signals and the second sensor signals. The control system may be configured to estimate blood pressure based, at least in part, on the one or more blood vessel features and the PWV.

Provided are apparatuses and methods for non-invasively measuring a blood pressure of a mammal subject. The apparatus includes a first sensor system and a second sensor system time-synchronized to each other and spatially separated by a pulse arrival distance L, and a microcontroller unit (MCU). The first and second sensor systems are respectively attached to first and second positions of the mammal subject for detecting first and second signals. The second position is more distal or proximal to a heart of the mammal subject than the first position. The MCU processes the output signals to determine a pulse arrival time (PAT) as a time delay Δt between detections of the first and second signals, and determines a pulse wave velocity (PWV) based on the PAT and L, wherePWV=LΔ⁢⁢t.Then the MCU determines the blood pressure P from the PWV, where P is a parabolic function of the PWV.

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 present invention relates to determining a flow profile in an artery from ultrasound imaging data. To this end, a computer-implemented method is provided for determining a flow profile based on arterial measurements, intra-arterial velocities, and asymmetry measures, the arterial measurements, intra-arterial velocities, and asymmetry measures determined from ultrasound imaging data, including B-mode, pulsed wave Doppler, and color or power Doppler ultrasound imaging data.

A system and method for contactless determination of pulse-transit time from a received image sequence. The method including: determining hemoglobin concentration (HC) signals over time at a first region of interest (ROI) and a second ROI, the first ROI and the second ROI forming a pair of ROIs, the second ROI located downstream from the first ROI along a common pulse wave path; determining a pulse transit time based on a time difference between peaks in the HC signals; and outputting the pulse transit time. The method can further include determining pulse wave velocity (PWV) using the determined PTT and a distance between the pair of ROIs, and outputting the determined PWV. The method can further include determining an estimate of blood pressure using the determined PWV with a trained machine learning model, and outputting the determined estimate of blood pressure.

The application discloses a parameter self-adaptive configuration ultrasonic carotid artery local pulse wave velocity estimation method, the method adopts a tracking section minimum variance total sum and a maximum linear fitting optimization coefficient criterion as a condition to establish a multi-objective function, optimizes and configures a pulse wave filter and a delay time estimation parameter by using a meta-heuristic algorithm, and finally calculates the carotid artery local pulse wave velocity based on the optimal parameter. The parameter self-adaptive configuration ultrasonic carotid artery local pulse wave velocity adaptive estimation is realized, the problem that the pulse wave velocity estimation is inaccurate due to the difficulty in accurately grasping the parameter in the ultrasonic carotid artery pulse wave velocity estimation process is solved, the universality of the pulse wave section parameter selection is improved, and the precision of the pulse wave velocity estimation is improved.

The present invention relates to a method for determining a pulse wave velocity and / or a pulse transit time of a patient. The method comprises receiving at least two seismocardiograms of the patient, wherein each seismocardiogram at least partially comprises a heartbeat of the patient and determining a first seismocardiogram template, wherein the first seismocardiogram template is at least partially based on the at least two seismocardiograms. The method further comprises determining a time shift with respect to the first seismocardiogram template for each of the at least two seismocardiograms, shifting each of the at least two seismocardiograms based on the determined respective time shift and determining a second seismocardiogram template, wherein the second template is based on the at least two time-shifted seismocardiograms.

The invention discloses a flexible ultrasonic patch for continuous monitoring of multi-dimensional physiological parameters of blood vessels, relates to the technical field of medical instruments, and utilizes a designed flexible ultrasonic array to extract high-resolution carotid artery wall velocity motion waveforms by parallelly collecting multi-channel data, so that the blood vessel multi-dimensional physiological parameters can be continuously monitored, and the blood vessel multi-dimensional physiological parameters can be continuously monitored. And signal delays among different array elements can be calculated to obtain local pulse wave velocities (PWV). Moreover, the speed waveform, the heart rate, the amplitude, the calculated PWV and other key physical parameters are jointly input into a PINN (Physical Information Neural Network) framework, and the cuff blood pressure is used as a gold standard for training. According to the method integrating physical information (PWV) and deep learning, the defects that a traditional physical model is too simplified and a pure black box model lacks generalization ability are overcome, and the blood pressure prediction result is more accurate and robust and has a physical basis.

This invention belongs to the technical field of ischemic preconditioning training devices, specifically relating to a dual-airflow ischemic preconditioning training device and an intelligent training method. The training device includes modules for data acquisition, pressure setting, dual-airflow control, coordinated adjustment, and main control. It quantifies the physiological coupling degree by calculating the difference in blood pressure between the two arms and the pulse wave velocity, and simultaneously applies this coupling influence coefficient as a feedforward term and the coupling degree coefficient as a feedback parameter during the training period, thereby achieving adaptive and precise coordinated control of the two airflows. The method includes: acquiring basic physiological data and setting an initial target pressure individually; using a sliding mode control algorithm incorporating the physiological coupling term to track and stabilize the pressure in real time; and coordinating the adjustment of the target pressure in both arms based on the quantified coupling degree during the rest period. This invention effectively improves pressure control accuracy and training safety, enhances user experience, and enables personalized ischemic preconditioning training.

The invention discloses a pulse wave velocity measuring method, device and equipment and a medium. The measuring method comprises the following steps: acquiring an electrocardiogram signal of a heart; acquiring a pulse wave signal of any detection point of the body surface artery; performing second derivative operation on the pulse wave signal to obtain a pulse wave acceleration signal; according to the pulse wave acceleration signal and the electrocardiogram signal, the pulse wave propagation time difference from the heart to the detection point is determined; acquiring a curve distance from the heart to the detection point; calculating the ratio of the curve distance to the pulse wave propagation time difference to obtain the pulse wave speed. According to the method, the limitation that the traditional pulse wave speed must depend on synchronous measurement of two arteries is eliminated, the stable and reliable pulse wave speed can be obtained only through the single-point pulse wave signal and the electrocardiogram signal, and the multi-point detection requirement of the traditional method is avoided; and errors of single-point pulse wave measurement are made up by means of high time precision of the electrocardiogram signals, so that clinical credibility of pulse wave speed detection is guaranteed.

The present disclosure provides a method for estimating energetic hemodynamic parameters, including: an ultrasound device obtaining a vascular diameter and a blood flow waveform from a subject; obtaining a blood flow velocity of the subject; a processor providing a volumetric flow rate, a pulse wave velocity (PWV), and a blood pressure waveform of the subject; and a processor obtaining the energetic hemodynamic parameters. The present disclosure further provides a system for estimating energetic hemodynamic parameters, including: an ultrasound device having an ultrasound probe and used to obtain a vascular diameter and a blood flow waveform from a subject; and a processor coupled to the ultrasound device and used to perform the method of the present disclosure. The present disclosure still further provides a computer readable medium storing a computer executable code, upon executed, the computer executable code implements the method of the present disclosure.

Properties of a blood vessel are determined by use of a laser Doppler vibrometer in which laser beams are directed to a patient or subject's skin over two regions, the chest and a superficial artery region (for example carotid neck region) where a pulse in an underlying blood vessel may be experienced. The pulse vibrations are detected by the vibrometer and their time of arrival at the regions determined. A time difference is calculated and from an understanding of the distance of the blood vessel travelled between the two regions a propagation speed or pulse wave velocity is calculated. The speed will vary in accordance with the stiffness or elasticity of the blood vessel. Thus, the condition of the blood vessel may be determined by calculating the stiffness (or elasticity) from the propagation speed.

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.

Embodiments of the present application provide a pulse wave conduction velocity measurement method and device based on an upper arm sphygmomanometer, electronic equipment and storage medium. The method is applied to an upper arm sphygmomanometer provided with a cuff, an electrocardio signal acquisition component and a Korotkoff sound signal acquisition component. The method comprises: after the air bag of the cuff worn on the upper arm of a user is inflated to compress the brachial artery to be closed, acquiring the electrocardio signal collected by the electrocardio signal acquisition component and the Korotkoff sound signal collected by the Korotkoff sound signal acquisition component; analyzing the electrocardio signal of a specified heartbeat cycle to acquire the peak position of the R wave in each heartbeat cycle; analyzing the Korotkoff sound signal based on the peak position to determine the arrival time of the Korotkoff sound signal in each heartbeat cycle; and calculating the pulse wave conduction velocity based on the difference between the arrival time of the Korotkoff sound signal and the peak position of the R wave. The method improves the measurement accuracy of the pulse wave conduction velocity.

The present application relates to the technical field of blood vessel health detection, and discloses a family blood vessel hardness and blood pressure combined detection method and system based on four-cuff pressure wave and finger clip dual-wavelength PPG fusion. The method collects pressure signals through synchronous inflation and deflation of four limb cuffs, and synchronously collects dual-wavelength PPG signals, pre-processes multi-channel signals, detects feature points, and aligns time, calculates blood pressure, ankle-brachial index and pulse wave velocity, and based on pulse wave velocity, ankle-brachial index and PPG waveform characteristics, weighted calculation or rule determination is carried out to obtain blood vessel hardness evaluation results. When the signal quality does not meet the preset condition, a retest prompt or a detection result with a confidence mark is output.

Multi-mode neurological and cardiopulmonary monitoring systems may be designed for the especially challenging needs of very fragile patients, such as neonates and infants. Compact, lightweight, time-synchronized wireless sensors may be built into wearable modules. The modules' skin-friendly encapsulations and bio-integrated form factors reduce the risk of iatrogenic injury while permitting natural motion and comforting touch. The system's integrated sensors include electroencephalography, near-infrared spectroscopy, electrocardiography, seismocardiography, photoplethysmography, motion, and temperature. By combining and analyzing the sensors' time-synchronized readings, the system can calculate heart rate, respiratory rate, pulse oxygenation, temperature, perfusion index, tidal volume, pulse wave velocity, and pulse arrival time (a surrogate for blood pressure). Advanced algorithms can further evaluate sleep patterns and detect arrhythmias, strokes, hemorrhaging and pre-seizure events. Other design features facilitate low cost, ruggedness, and ease of use in both hospital and non-hospital settings.

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.

Devices, systems and techniques to measure changes in pulse transit time (PTT) and, in some cases, determine pulse wave velocity (PWV), in a blood vessel to support continuous ambulatory monitoring of PTT and / or PWV. Each heartbeat creates a pressure wave that propagates along the arterial system. A pressure wave may travel faster along a rigid artery when compared to a more flexible artery. In this manner, PTT may be an indirect indicator of blood vessel flexibility and patient health.

The invention relates to the technical field of blood pressure monitoring, and discloses a continuous blood pressure monitoring method and system based on an elastic cavity model and a pulse wave velocity equation, a terminal and a storage medium, and the method comprises the following steps: reflecting a dynamic process among cardiac ejection, artery compliance and peripheral resistance from a system level by using a two-element elastic cavity model; a time domain coupling relationship between blood pressure and blood flow is established, and a pulse wave velocity equation is introduced to calculate artery compliance C parameters of different objects so as to calibrate model compliance C parameters, so that a targeted blood pressure monitoring result is obtained. Individualized physiological information is introduced, and the accuracy and interpretability of blood pressure prediction on different objects are improved.

The invention discloses a method for measuring pulse wave propagation velocity based on a double-end sensor, and relates to the technical field of physiological signal measurement and wearable equipment.The method comprises the specific steps that a watch type device with the double sensors is configured, and a proximal end radial artery pressure signal and a distal end photoelectric waveform signal are collected respectively; measuring and calibrating the distance between the sensors; starting a measurement mode and then synchronously acquiring signals; preprocessing and cutting the signals to determine time parameters; calculating the pulse wave speed; the blood vessel state is evaluated in combination with user information, and risk prompts and health suggestions are pushed; by constructing a double-end measurement structure of the proximal end pressure sensor and the telecentric end photoelectric sensor and combining a synchronous collection and calibration algorithm, double-end pulse wave signals are accurately obtained, distance parameters are corrected, the pulse wave propagation speed measurement precision is remarkably improved, and a convenient and reliable solution is provided for daily monitoring of cardiovascular health.

The application relates to the technical field of blood pressure monitoring, and discloses a continuous blood pressure monitoring method and system based on an elastic cavity model and a pulse wave velocity equation, a terminal and a storage medium, the method comprising the following steps: utilizing a two-element elastic cavity model to reflect the dynamic process among cardiac ejection, arterial compliance and peripheral resistance from a system level, establishing a time-domain coupling relationship between blood pressure and blood flow, and introducing a pulse wave velocity equation to calculate the arterial compliance C parameter of different objects, calibrate the model compliance C parameter, and obtain targeted blood pressure monitoring results. The application introduces individual physiological information, and improves the accuracy and interpretability of blood pressure prediction for different objects.

A system and method for measuring pulse wave velocity. In some embodiments, a system includes: a pulse timing sensor, including: a first wearable speckleplethysmography sensor; and a second wearable speckleplethysmography sensor, the first wearable speckleplethysmography sensor being configured to measure a blood flow velocity at a first point, on a first artery, and the second wearable speckleplethysmography sensor being configured to measure a blood flow velocity at a second point on a second artery.

The invention provides a blood pressure monitoring method and device for a target user, electronic equipment, a medium and a product, and relates to the technical field of blood pressure monitoring. The method comprises the steps that a photoplethysmography signal set of the target user is obtained based on at least two photoplethysmography sensors; the photoplethysmography signal set comprises photoplethysmography signals correspondingly acquired by every two photoplethysmography sensors; determining a waveform feature point set according to each photoplethysmography signal in the photoplethysmography signal set; determining the pulse wave velocity of the target user according to the waveform feature point set; acquiring static physiological parameters of the target user; determining a blood pressure monitoring result of the target user according to the pulse wave speed and the static physiological parameters. According to the technical scheme, the pulse wave speed is determined through the at least two photoplethysmography sensors, the blood pressure monitoring result is determined based on the pulse wave speed and the static physiological parameters, and non-invasive, cuff-free and electrocardiogram-free blood pressure dynamic monitoring is achieved.