11 results about "Pulse wave propagation" patented technology

The pulsation is measured, and the pulse transit time (PTT) is measured by selecting the pulsation at two places where the displacement of the skin is large.SOLUTION: A pulsation measuring device 1 includes a radar device 2 and a signal processing device 3, and the radar device 2 is provided at least at three positions where the skin of a human body H can be scanned and scans the skin at the positions to output radar data as a biological signal. The signal processing device 3 acquires the output radar data, detects the displacement of the skin in the vertical direction at the position of the human body H scanned by the radar device 2 to specify the pulsation of the human body H, selects two places of the biological signal of the human body H where the displacement of the skin of the human body H is large, and calculates the pulse transit time (PTT) between the two places.SELECTED DRAWING: Figure 1

This invention provides a training method for a blood pressure prediction model and a method for predicting blood pressure data. The training method for the blood pressure prediction model includes: acquiring data from a wearable device to obtain a raw data sequence; preprocessing the raw data sequence to obtain a standard data sequence; extracting features from the standard pressure signal sequence and the standard blood pressure sequence based on peak and trough values ​​to obtain a pressure feature sequence, a blood pressure feature sequence, and a pulse wave propagation time sequence; extracting features from the standard acceleration sequence and the standard angular velocity sequence based on the rate of change and frequency to obtain a motion intensity sequence; fusing the pressure feature sequence, the blood pressure feature sequence, the pulse wave propagation time sequence, and the motion intensity sequence to form a multidimensional feature sequence; and training the blood pressure prediction pre-training model based on the multidimensional feature sequence to obtain the blood pressure prediction model. The blood pressure prediction model obtained by this invention has higher accuracy in predicting blood pressure.

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.

This invention discloses a continuous non-invasive blood pressure monitoring system based on fingertip photoplethysmography (PPG). The system includes: an intelligent finger cot terminal for acquiring fingertip PPG signals and adjusting the fingertip contact pressure in real time using a closed-loop control formula to maintain a constant pressure state on the finger blood vessels; a mobile computing terminal for receiving fingertip PPG signals and performing preprocessing operations on the fingertip PPG signals; and a cloud service platform for calculating the preprocessed fingertip PPG signals based on a preset blood pressure calculation model to obtain a continuous blood pressure waveform and estimate hemodynamic parameters based on the continuous blood pressure waveform. The preset blood pressure calculation model is specifically a pulse wave analysis model, a pulse wave propagation time model, or a deep learning mapping model. The hemodynamic parameters are specifically stroke volume and cardiac output. Through the mobile computing terminal and the cloud service platform, continuous arterial pressure waveform reconstruction and physiological parameter calculation are realized, and long-term monitoring accuracy can be maintained through a periodic calibration mechanism.

This application relates to the field of smart medical technology, and provides a method and related products for vascular function detection based on multi-physiological signal fusion. The method includes: acquiring arterial pulse wave signals from a first and second measurement site of a user using a first sensor and a second sensor configured on a wearable device, respectively; acquiring motion state data of the user during the acquisition of arterial pulse wave signals using an inertial measurement unit configured on the wearable device, and dynamically compensating the arterial pulse wave signals based on the motion state data; extracting feature waveforms from the dynamically compensated arterial pulse wave signals using a signal processing model; calculating the characteristic time difference of pulse wave propagation from the first measurement site to the second measurement site based on the dynamically compensated first and second feature waveforms; and inputting the characteristic time difference, the user's static physiological parameters, and / or at least one waveform morphological parameter into a vascular stiffness assessment model to obtain a vascular stiffness assessment value.

To derive a pulse wave propagation speed with higher accuracy. An information processing apparatus includes a calculation unit configured to derive a pulse wave propagation speed of a subject by performing signal processing together on pulse wave signals sensed at three or more different positions on a body surface of the subject.

Provided is a detection device with which it is possible to acquire a pulse wave propagation speed by using detection values simultaneously acquired at two different points, in a configuration having a plurality of optical sensors in a detection surface. This detection device: sequentially scans, in one frame period, optical sensor circuits (PAA) lined up in a second direction (Dy) in a first region (10A) and optical sensor circuits (PAA) lined up in the second direction (Dy) in a second region (10B), and simultaneously selects optical sensor circuits (PAA) lined up in a first direction (Dx) in the first region (10A) and optical sensor circuits (PAA) lined up in the first direction (Dx) in the second region (10B) to supply a drive signal; and acquires a pulse wave propagation speed on the basis of the detection value of an optical sensor circuit in the first region (10A) and the detection value of an optical sensor circuit in the second region (10B) simultaneously acquired in one frame period.

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 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.

The application provides an ultrasonic imaging device and a pulse wave imaging method. Ultrasonic data of a predetermined time period is acquired, an ultrasonic image containing an axial section structure of a blood vessel is generated according to the ultrasonic data, a blood vessel wall hardness characteristic quantity reflected by a pulse wave propagating along an axial direction of the blood vessel on the blood vessel wall is obtained according to the ultrasonic data, and the blood vessel wall hardness characteristic quantity is visually expressed along the axial direction of the blood vessel, so that a pulse wave propagation state image is generated and displayed. The blood vessel wall hardness characteristic quantity is visually expressed along the axial direction of the blood vessel, so that the pulse wave propagation state image is generated and displayed, and the pulse wave propagation is intuitively presented.

The invention discloses a fracturing crack characteristic detection method and system based on wellhead high-pressure pulses, and the method comprises the steps: preparing and exciting the wellhead high-pressure pulses, and continuously collecting and recording the high-frequency pressure and high-pressure pulse wave signals of a wellhead in the excitation-propagation-reflection process; performing frequency band separation and signal reconstruction, and evaluating filtering fidelity; key echo arrival time and frequency components are calculated, pulse features are extracted, and a two-dimensional cepstrum method is adopted to identify the depth of a main liquid inlet point; constructing a shaft-crack coupling model and a parameter library, constructing a water hammer and high-pressure pulse wave propagation model based on mass and momentum conservation, and describing shaft attenuation and reflection at cracks or bridge plugs; fracturing crack characteristics are inversed before and after single-section fracturing, the fracturing effect is evaluated, and well completion and construction parameter optimization are guided; according to the scheme, quantitative recognition of the depth of the main liquid inlet point and the near-well transformation index is achieved.