41 results about "Pulse Wave Analysis" patented technology

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.

A portable device having a biosignal measuring instrument includes: at least one first electrocardiogram signal sensor portion on a first surface of the portable device that contacts a first hand of a user, to measure a first electrocardiogram signal of the user; at least one second electrocardiogram signal sensor portion on a second surface of the portable device that contacts a wrist of a second hand of the user, to measure a second electrocardiogram signal from the wrist; a pulse waveform sensor on the second surface and in parallel with the second electrocardiogram signal sensor portion, to sense a pulse waveform from the wrist; a waveform controller generating an electrocardiogram waveform of the user from the measured first electrocardiogram signal and second electrocardiogram signal, generating a pulse waveform of the user from the sensed pulse waveform, and detecting at least one characteristic point of the pulse waveform by referring to the electrocardiogram waveform; and an output portion providing a result of the pulse wave analysis based on the at least one detected characteristic point of the user.

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.

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.

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 proposes an optical scanning pulse wave sensor and wearable device, an optical scanning wrist pulse wave analyzer, an optical scanning heart rate monitor, an optical scanning blood pressure monitor, an optical scanning blood vessel hardness tester, an optical scanning Type carotid artery hardness tester and pulse wave monitoring method. The pulse wave sensor includes a laser transmitter, which emits the first laser light; a branch optical waveguide component, which receives the first laser light and branches it into a second laser light and a reference light; and a light guide output component, which receives and adjusts the second laser light to form a third laser light. The laser light enables the third laser light to enter the blood vessel; the light guide input part receives and adjusts the fourth laser light reflected from the blood vessel to form the fifth laser light; the receiving optical path part receives the fifth laser light and the reference light to form the second laser light after two-way interference Six lasers. The optical scanning pulse wave sensor, related monitoring equipment and wearable device provided by the present invention can realize continuous monitoring, have high precision, good effect and low power consumption.

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 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 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.

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.