23 results about "Pulse wave velocity" patented technology

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).

Ultrasound methods and systems for measuring physiological properties are disclosed. The ultrasound methods and systems measure one or more characteristics of a vessel, such as vessel-wall displacement over time or blood-flow velocity over time, based on a pulse wave propagating through the vessel. In aspects, the characteristics are measured at two locations of the same vessel with a known distance between the two locations. A time shift between the measured characteristics at the two locations is calculated and used, along with the known distance, to determine one or more physiological properties, such as pulse-wave velocity or blood pressure. These physiological properties can be measured without the assistance of ECG data.

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.

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.

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 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.

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.

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.

Ultrasound methods and systems for measuring physiological properties are disclosed. The ultrasound methods and systems measure one or more characteristics of a vessel, such as vessel-wall displacement over time or blood-flow velocity over time, based on a pulse wave propagating through the vessel. In aspects, the characteristics are measured at two locations of the same vessel with a known distance between the two locations. A time shift between the measured characteristics at the two locations is calculated and used, along with the known distance, to determine one or more physiological properties, such as pulse-wave velocity or blood pressure. These physiological properties can be measured without the assistance of ECG data.

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.

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 invention provides a noninvasive blood pressure monitoring device based on ultrasound and an ultrasonic chip, and the device comprises an ultrasonic transducer array which comprises a plurality of transducer array elements and is used for transmitting ultrasonic waves according to received transmission pulse electric signals and receiving ultrasonic echoes to generate echo electric signals; the ultrasonic receiving and transmitting array comprises a plurality of ultrasonic receiving and transmitting array elements and is used for transmitting pulse electric signals, processing the echo electric signals and outputting the processed echo electric signals; and the data processing module is used for sequentially carrying out artery positioning, artery diameter measurement and pulse wave velocity measurement according to the output echo electric signal, and outputting a blood pressure value based on a measurement result. According to the invention, multiple groups of echo data are subjected to composite processing, so that the imaging quality and speed are improved. Noninvasive blood pressure monitoring based on ultrasound can be achieved, limitation of traditional cuff type equipment is broken through, real-time continuous blood pressure monitoring is achieved, full scenes such as sleep and daily activities can be covered, blood pressure dynamic waveforms can be presented, and richer dynamic data can be provided for cardiovascular health management.

The invention discloses a method and a system for acquiring a carotid artery local pulse wave velocity. The method comprises the following steps of: performing cross-correlation calculation on a normalized fingertip reflected light digital time sequence and a normalized pulse signal digital time sequence of each pixel position; carrying out binarization processing on the correlation coefficient of each pixel position and then identifying a maximum connected region to obtain a carotid artery body surface projection region; any two pixel positions are selected from the carotid artery body surface projection area, and normalized pulse signal digital time sequences of the two pixel positions are extracted; performing one-dimensional cross-correlation calculation on the normalized pulse signal digital time sequences of the two pixel positions to obtain a time difference; and calculating the carotid artery local pulse wave velocity based on the time difference. The carotid artery body surface projection area can be automatically identified, and the carotid artery local pulse wave velocity is accurately extracted.