41 results about "Pulse Wave Analysis" patented technology

A pulse wave analyzing device is provided with a performance part for performing analyzing of a pulse wave of a living body; and a mounting member for substantially integrally mounting constituent elements of the performance part. The performance part includes: a sensor section for measuring parameters relating to the pulse wave of the living body; an A / D converter for converting a measurement signal outputted from the sensor section into a digital signal; an analysis processing section for performing a predetermined data analysis with respect to measurement data outputted from the A / D converter; and a display section for displaying predetermined information relating to the measurement. The analysis processing section has a first analysis processor for performing a pulse wave analysis at least for a first case, and a second analysis processor for performing a pulse wave analysis for a second case different from the first case based on the measurement data relating to the pulse wave.

In a pulse wave analyzer, an ECG signal and a pulse wave signal are detected from an object to be analyzed. A plurality of feature points are extracting from the acquired ECG signal, the feature points appearing in a waveform of the ECG signal. The acquired pulse wave signal is segmented into a plurality of pulse wave signal pieces based on times at which the feature points appear. Each of the pulse wave signal pieces is segmented every heart beat. A reference pulse wave is calculated based on the plurality of pulse wave signal pieces, by multiplying the pulse wave signal pieces by coefficients and averaging the pulse wave signal pieces multiplied by the coefficients. The reference pulse wave is used to estimate the blood pressure of the object.

Factor retrieving is a major approach for pulse wave analysis. Stiffness index and cardiac output are widely used factors for cardiac risk detection. Research has been done on clinical pulse wave data which are collected by pulse oximeter. The result shows that collected factors have a positive correlation with certain cardiac risks. Some adjustments have been applied on the algorithms that increase the significance. In addition to the factor based analysis, other signal processing techniques for pulse waveforms are included such as bispectrum estimation, Wavelet transform, and weighted dynamic time warping. Bispectrum estimation and Wavelet transform have meaningful features of pulse waveforms with some special shapes. Weighted dynamic time warping compares the similarity of waveforms. It also includes medical significance into the calculation by adjusting the weight vector. This algorithm has higher accuracy when providing more samples to compare. The factor based analysis and waveform analysis compose an analytic model which can be used for risk evaluation, classification and disease detection.

A non-invasive device for evaluating circulatory state parameters, and specifically, a pulsewave analysis device capable of evaluation by separating blood vessel compliance and blood vessel resistance into central and peripheral components of the arterial system is provided. Microcomputer 4 detects the waveform at a test subject's radius artery via pulsewave detector 1, and uptakes the stroke volume in the test subject which is measured by a stroke-volume measurer. Next, based on the measured stroke volume, microcomputer 4 adjusts the values of each element in a lumped five parameter model made up of an electrical circuit which models the arterial system from the center to the periphery of the body, so that the response waveform obtained when an electric signal corresponding to the pressure waveform at the proximal portion of the aorta in a test subject is provided to the electric circuit coincides with the waveform at the radius artery. Microcomputer 4 then outputs the thus-obtained values of each element as circulatory state parameters. In addition, microcomputer 4 calculates the diastolic pressure value, systolic pressure value and pulse waveform at the proximal portion of the aorta from the values of each element, and outputs the calculated result to output device 6.

A pulse wave analyzing apparatus including a cuff 12 for detecting a pulse wave from a living subject, a pressure sensor 16 for converting the pulse wave detected by the cuff 12, into an electric signal, i.e., a pulse wave signal SM, a plurality of band-pass filters 62 (BPF(1), BPF(2), . . . , BPF(n)) that have respective low-side cuff-off frequency bands differing from each other and each receive the pulse wave signal SM, a provisional rising point determining device 64 for determining respective times PS of respective provisional rising points of respective pulse waves represented by respective secondary pulse wave signals SM2 that have passed through the band-pass filters 62, and a proper rising point determining device 66 for comparing the respective times PS of respective provisional rising points with each other and thereby determining a time AS of a proper rising point based on the respective times PS of respective provisional rising points.

A pulse wave analyzing device is provided with a performance part for performing analyzing of a pulse wave of a living body; and a mounting member for substantially integrally mounting constituent elements of the performance part. The performance part includes: a sensor section for measuring parameters relating to the pulse wave of the living body; an A / D converter for converting a measurement signal outputted from the sensor section into a digital signal; an analysis processing section for performing a predetermined data analysis with respect to measurement data outputted from the A / D converter; and a display section for displaying predetermined information relating to the measurement. The analysis processing section has a first analysis processor for performing a pulse wave analysis at least for a first case, and a second analysis processor for performing a pulse wave analysis for a second case different from the first case based on the measurement data relating to the pulse wave.

In a pulse wave analyzer, an ECG signal and a pulse wave signal are detected from an object to be analyzed. A plurality of feature points are extracting from the acquired ECG signal, the feature points appearing in a waveform of the ECG signal. The acquired pulse wave signal is segmented into a plurality of pulse wave signal pieces based on times at which the feature points appear. Each of the pulse wave signal pieces is segmented every heart beat. A reference pulse wave is calculated based on the plurality of pulse wave signal pieces, by multiplying the pulse wave signal pieces by coefficients and averaging the pulse wave signal pieces multiplied by the coefficients. The reference pulse wave is used to estimate the blood pressure of the object.

The invention relates to a pulse condition type health bracelet. The pulse condition type health bracelet is composed of a microprocessor, a PPG sensor and an OLED display screen. The PPG sensor is arranged on one side, close to the skin, of the bracelet and is used for collecting pulse waves.; the microprocessor reads the real-time pulse wave information of a wearer through a mold digital converter, inputs the obtained heart rate information to the OLED display screen for displaying after the real-time pulse wave information is processed, and meanwhile, transmits the collected pulse wave information to an intelligent mobile phone terminal through Bluetooth, and the intelligent mobile phone obtains the corresponding diagnostic information by analyzing the pulse waves through the corresponding algorithm based on Chinese pulse diagnosis theory. The pulse condition type health bracelet has characteristics of being high in monitoring precision, fast in transmission speed, high in efficiency and easy to use.

A method of determining the oxygen delivery, comprising the steps of non-invasive measurement of the arterial blood pressure waveform, determination of cardiac output from a pulse wave analysis of said blood pressure waveform, non-invasive measurement of oxygen saturation and hemoglobin concentration and real time calculation of oxygen delivery based on the measured quantities.

The invention provides a self-service type cardiovascular function detecting system and a using method thereof. The system comprises an identity information acquisition component, a blood pressure and pulse wave signal acquisition component and a man-machine interaction component, and a man-machine interaction technology and an identity identification technology are combined. The using method of the self-service type cardiovascular function detecting system comprises the following steps: firstly, switching on the power supply and starting the system; secondly, verifying individual identity information; judging whether the verification succeeds; entering into a testing interface and preparing acquisition of blood pressure and pulse wave data; measuring the blood pressure; measuring the pulse wave; analyzing and storing the blood pressure and the pulse wave data; and storing, displaying and printing the testing result. The self-service type cardiovascular function detecting system has the functions of measuring procedure introduction, operation step-by-step guidance, detecting state prompting, detecting quality evaluation and the like; a user can perform corresponding operation according to the prompting of videos, flashes, images and words in analysis software; and the self-service detection of the cardiovascular function can be accomplished conveniently and rapidly without the assistance of professional personnel.

The blood pressure monitoring apparatus and method are disclosed that can monitor a blood pressure of a subject using an electrocardiogram signal, a pulse wave signal and a body characteristic information of the subject, wherein the electrocardiogram signal and the pulse wave signal of the subject are monitored to remove a noise signal generated from monitoring of the pulse wave signal, allowing monitoring a precise blood pressure of the subject, and calculating the pulse wave analysis information using the monitored pulse wave signal, and using the electrocardiogram signal and the pulse wave signal to calculate a pulse transit time (PPT), and plugging a calculated pulse wave propagation time, pulse wave analysis information and body characteristic information of the subject into a predetermined regression equation to monitor the blood pressure.

In a pulse wave analyzer, a local maximum point of a fourth order differentiated wave of the pulse wave of one beat is acquired, and a maximum point of a reflection wave of the local maximum points of the fourth order differentiation existing in a zone of an original waveform is determined as a starting point of a reflection wave zone that is a first characteristic point. With 10% of the amplitude of the first characteristic as a threshold value, a time point at which the amplitude reaches the threshold value after the relevant point is determined as an ending point of the reflection wave zone that is a second characteristic point. The duration time of the reflection time of the time between the first characteristic point and the second characteristic point is calculated as an index useful in the diagnosis of heart disease.

The present invention is related to a method and a system for detecting signals of pulse diagnosis, and a detecting device of pulse diagnosis. The method comprises following steps. Apply a pressure on an artery of an object, and then detect a pulsation generated from a feedback of the artery at each different pressure value. Compare the similarity of a preset period and a preset vibration amplitude of the artery with a default sphygmogram model at each different pressure value to determine a pressure value of pulse diagnosis by a graphical analog method, and obtain a corresponding sphygmogram according to the pressure value of pulse diagnosis. It will provide standardization and increase the data applicability for personal pulse wave analysis by comparing personal different sphygmogram to determine different pressure value of pulse diagnosis.

A pulse wave analyzing apparatus comprises an acquiring section (11) which acquires a pulse wave that is non-invasively measured, and an analyzer (12) which calculates data on the frequency axis by using the pulse wave, and which obtains the index value of the respiratory-induced variation based on the calculated data on the frequency axis.

The invention discloses a detecting method for calculating SV (stroke volume) of the heart on the basis of a pulse wave analysis method. The method can be used for performing noninvasive and continuous measurement on SV of the heart, and accordingly, simple and reliable new evaluation indexes are provided for daily monitoring for family health. According to a technical scheme, an air pump is pressurized to drive air inflation of a cuff; vibration pressure wave of the cuff is detected; signals output after detection are subjected to lowpass filtering and operational amplifier processing; the signals subjected to lowpass filtering and operational amplifier processing are subjected to digital filtering in a chip; SV is calculated with the pulse wave analysis method on the basis of the pressure wave signals subjected to digital filtering.

The invention provides an optical scanning pulse wave sensor, a wearable device, an optical scanning wrist-type pulse wave analysis meter, an optical scanning heart rate meter, an optical scanning blood pressure monitoring meter, an optical scanning blood vessel rigidity tester, an optical scanning carotid artery rigidity tester and a pulse wave monitoring method. The pulse wave sensor comprises alaser emitter, a shunting optical waveguide part, a light leading and outputting part, a light leading and inputting part and an optical path receiving part, wherein the laser emitter emits first laser, the shunting waveguide part receives the first laser and shunts the first laser into second laser and reference light; the light leading and outputting part receives and adjusts the second laserto form third laser so that the third laser can be emitted to a blood vessel; the light leading and inputting part receives and adjusts fourth laser reflected from the blood vessel to form fifth laser; the optical path receiving part receives the fifth laser and the reference light, and forms sixth laser after dual-path interference is conducted. According to the optical scanning pulse wave sensor, relevant monitoring equipment and the wearable device, continuous monitoring can be achieved, the precision is high, the effect is good, and the power dissipation is low.

The invention relates to a pulse wave analysis method and device. The method comprises the following steps: step 1, receiving an original pulse wave to be analyzed; 2, decomposing that original pulsewave to extract a plurality of eigenmode functions from the original pulse wave; Step 3, selecting an eigenmode function closest to the original pulse wave, performing Hilbert transform based on the eigenmode function to obtain the marginal spectral density function of the original pulse wave, and taking the maximum frequency of the marginal spectral density function as the maximum frequency output of the original pulse wave. The pulse wave analysis method carries out frequency domain analysis on pulse wave can eliminate the influence on pulse wave of human body caused by multiple clutter signal of different frequencies superposed by internal organs during the transmission process of pulse wave, has high accuracy and can take the maximum frequency output as a physiological index for evaluating cardiovascular health state.

A photoplethysmography analysis processing method based on cluster analysis comprises the following steps: 1) acquiring a photoplethysmography signal of a finger end, carrying out low-pass filtering on the photoplethysmography signal, and transmitting the photoplethysmography signal to an upper computer after amplification; 2) performing noise filtering processing on the acquired signal by a digital filter to obtain a pure pulse wave signal; 3) performing differential processing on the pure photoplethysmography signal and extracting crest and trough points of the photoplethysmography signal; 4) calculating k' value and independent pulse pressure indexes P1 and P2 in each single cycle in an extracted waveform signal; 5) carrying cluster analysis on the k' value and P1 and P2 values of eachheartbeat cycle extracted from single acquired waveform to extract representative waveform; and 6) acquiring characteristic parameters on the representative waveform. The modeling efficiency and accuracy are correspondingly improved by extraction of characteristic parameters of the representative waveform.

The present invention is related to a method and a system for detecting signals of pulse diagnosis, and a detecting device of pulse diagnosis. The method comprises following steps. Apply a pressure on an artery of an object, and then detect a pulsation generated from a feedback of the artery at each different pressure value. Compare the similarity of a preset period and a preset vibration amplitude of the artery with a default sphygmogram model at each different pressure value to determine a pressure value of pulse diagnosis by a graphical analog method, and obtain a corresponding sphygmogram according to the pressure value of pulse diagnosis. It will provide standardization and increase the data applicability for personal pulse wave analysis by comparing personal different sphygmogram to determine different pressure value of pulse diagnosis.

The invention belongs to the technical field of physiological signal processing, and discloses a pulse wave processing method, a time domain feature extraction method, a device, equipment and a medium. The pulse wave processing method is used for processing pulse waves and comprises the following steps that obtaining original pulse waves; segmenting the original pulse waves into a plurality of periodic waveforms; calculating a similarity distance between any two periodic waveforms, and rejecting abnormal fluctuation periodic waveforms in the plurality of periodic waveforms according to a calculation result; averaging the at least two reserved periodic waveforms to obtain a periodic average waveform; according to the method and the device, the abnormal fluctuation period waveform in the pulse wave can be eliminated, the interference of the abnormal fluctuation period waveform on subsequent analysis is avoided, and thus the accuracy of pulse wave analysis is improved.

The invention discloses a volume pulse wave signal processing method, a blood pressure measuring device and a storage medium. The volume pulse wave signal processing method comprises the steps of extracting single-cycle waveform morphological characteristics from volume pulse wave signals, acquiring space-time linked characteristics from the single-cycle waveform morphological characteristics by using a two-way recirculating network, inputting the space-time linked characteristics to a shared deep convolutional network so as to acquire a characteristic graph, and inputting the characteristic graph to a fully-connected network, so as to acquire a blood pressure fitted value. Through processing the volume pulse wave signals by using the two-way recirculating network, the shared deep convolutional network and the fully-connected network, high-dimension information can be extracted from the volume pulse wave signals, so that more available information is provided for application of a pulsewave analysis method, and the accuracy of the pulse wave analysis method is improved. The invention is extensively applied to the technical field of signal processing.

The invention belongs to the technical field of pregnancy-induced hypertension remote medical treatment, and relates to a pregnancy-induced hypertension remote prediction monitoring system and an application method. The system comprises a terminal detection system and a hospital server system. The terminal detection system is formed by wirelessly connecting and combining a finger tip volume pulsesensor and a user mobile phone; the hospital server system is composed of a cloud server, a management terminal and a hospital management system assembled on the cloud server and the management terminal. The cloud server is in wireless connection and communication with a mobile phone of a user, and the cloud server is connected with the management terminal for information interaction. The system can collect finger tip pulse waves conveniently, the preprocessed finger tip pulse waves are analyzed and processed to obtain a pulse waveform diagram, and through feature point extraction analysis, transverse comparative analysis and longitudinal comparative analysis, doctors are more accurately assisted in predicting pregnancy-induced hypertension in real time, discovering pregnancy-induced hypertension in time and treating pregnancy-induced hypertension, and life health of pregnant women is protected.

Disclosed are devices and methods for non-invasively measuring arterial stiffness using pulse wave analysis of photoplethysmogram data. In some implementations, wearable biometric monitoring devices provided herein for measuring arterial stiffness have the ability to automatically and intelligently obtain PPG data under suitable conditions while the user is engaged in activities or exercises. In some implementations, wearable biometric monitoring devices are provided herein with the ability to remove PPG data variance caused by factors unrelated to arterial stiffness. In some implementations, wearable biometric monitoring devices have the ability to perform PWA while accounting for the user's activities, conditions, or status.

A pulse wave analysis device stores a pulse waveform for multiple beats, and calculates a pulse wave analysis index by analyzing the pulse waveform. In the calculation of the pulse wave analysis index, pulse waveform shapes of each beat that constitute the pulse waveform for multiple beats are integrated, and beats for which a degree of approximation between the integrated pulse waveform shape and the pulse waveform shape of the beat is low are excluded as targets of calculation of the pulse wave analysis index.

A method based on pulse wave analysis for monitoring cardiovascular vital signs, including: measuring a photoplethysmography (PPG) signal during a measurement time period such as to obtain a time series of PPG pulses; and during the measurement time period, identifying individual PPG pulses in the PPG signal, each PPG pulse corresponding to a PPG pulse cycle. For each PPG pulse, the method uses a pulse-wave analysis technique to determine, within the pulse cycle, at least one of: a time-related feature comprising a time duration and a normalized amplitude-related pulse-related feature and a SNR-related pulse-related. For each PPG pulse, a machine learning model is used in combination with the determined time-related, normalized amplitude-related and SNR-related features, to classify each PPG pulse in the pre-processed PPG signal as “normal”, “pathological” or “non-physiological” such as to output a time series of pulse classes.

The present invention relates to a pulse wave analysis method and device. The method comprises steps: step 1, receiving the original pulse wave to be analyzed; step 2, decomposing the original pulse wave, and extracting several pulse waves from the original pulse wave Intrinsic mode function; step 3, select an intrinsic mode function closest to the original pulse wave, carry out Hilbert transform based on the intrinsic mode function, obtain the marginal spectral density function of the original pulse wave, and use the The maximum frequency of the marginal spectral density function is output as the maximum frequency of the original pulse wave. The method of the present invention is to analyze the pulse wave in the frequency domain, which can eliminate the influence of multiple clutter signals of different frequencies superimposed by the influence of internal organs on the pulse wave of the human body during the transmission process of the pulse wave, and has high accuracy. The maximum output frequency is used as a physiological index to evaluate the cardiovascular health status.

A computer-implemented method for quantifying arterial stiffness and assigning an AS factor uses executable program on a computing device. The arterial pulse of an individual is monitored and the data received from the monitoring member transmitted to the computing device. The data received is processed by the processor, performing a pulse wave analysis. The primary systolic pulse and iliac reflection pulse are extracted from the pulse wave analysis and the time delay between the primary systolic pulse and the iliac reflection pulse determined. The time delay is used to calculate a second derivative based least in part, on the time delay. The frequency above zero components are separated from the second derivative and the area of the second derivative determined between a first primary systolic pulse and a first iliac reflection pulse. A percentage score is calculated based on the degree of arterial stiffness and input into a historical population database comparing the percentage score with the population data.

The invention provides a directional radar transmitting and receiving system, which comprises a sensor board and a main control board. A microwave oscillator of the sensor board transmits high-frequency microwaves through a transmitting antenna. A main control chip on the main control board performs pulse wave analysis. The included judgment elements are as follows: a first judgment element of judging the width and amplitude of a pulse wave signal to confirm whether the pulse wave signal is a clutter signal generated by the movement of a small object, if the pulse wave signal is a clutter signal generated by the movement of the small object, returning, and as the signal generated by the movement of the small object has a small amplitude and is not easily triggered, re-monitoring a next pulse wave signal sent by the sensor board; and a second judgment element of comparing the shape of the pulse wave signal currently output by the sensor board with a pre-stored default trigger signal shape, if the pulse wave signal does not match the pre-stored default trigger signal shape, determining the pulse wave signal as a clutter signal, and returning to re-monitor a next pulse wave signal sent by the sensor board. Interference signals are well eliminated, the accuracy of judgment is ensured, false triggering is avoided, and the reliability and practicality are improved.