361 results about "Pulsed wave" patented technology

The invention discloses an integrated pediatric vital sign intelligent monitoring and early warning method and system, and relates to the technical field of biomedical signal processing. The method is used for solving the problems of large monitoring interference and early warning lag in a dynamic environment. The method comprises the following steps: firstly, synchronously collecting a multi-modal signal to generate a motion intensity envelope signal and an R wave peak value interval sequence, carrying out orthogonal projection denoising on a photoelectric volume pulse wave signal by utilizing motion envelope based on a recursive least square algorithm, and outputting a reconstructed blood oxygen waveform; then, calculating a cross correlation coefficient of a heart rate trend and a motion envelope, quantifying a physiological coupling degree to generate an independent heart rate anomaly index, and accurately identifying a non-motion related risk; finally, the real-time blood oxygen value is analyzed, the index is used for dynamically increasing the low oxygen threshold value so as to tighten the alarm boundary, physiological parameter linkage grading early warning is achieved, and the recognition sensitivity of the compensation period risk is improved while interference resistance is guaranteed.

Systems and methods are disclosed for blood pressure analysis. In some examples, a system receives sensor data from a sensor during a time period to monitor a blood pressure wave signal in the sensor data. The system inflates a cuff (worn by a patient) with a gas until a characteristic of the pulse wave signal crosses a characteristic threshold from a first side to a second side at a first time within the time period. The cuff is at a first pressure at the first time. The system deflates the cuff until the characteristic of the pulse wave signal crosses the characteristic threshold from the second side to the first side at a second time within the time period. The cuff is at a second pressure at the second time. The system identifies a blood pressure value corresponding to the patient as being between the first pressure and the second pressure.

The invention relates to the technical field of biomedical engineering. The invention discloses a triggering method and device of magnetic resonance imaging equipment based on multi-modal signal fusion, terminal equipment and a storage medium. The accuracy of triggering the magnetic resonance imaging equipment to collect images can be improved. The method comprises the following steps: acquiring a first morphological characteristic of a heart vibration signal of a target object, a second morphological characteristic of a jugular vein pulse signal and a third morphological characteristic of a photoelectric volume pulse wave signal; constructing a heterogeneous graph based on the first morphological feature, the second morphological feature and the third morphological feature; performing global graph feature vector extraction processing on the heterogeneous graph by adopting a heterogeneous graph attention network to obtain a target global graph feature vector; and performing time prediction processing on the target global map feature vector by adopting a trigger control model to obtain target time, and triggering magnetic resonance imaging equipment to collect images when the target object is in the middle and later period of cardiac diastole based on the target time.

The invention discloses a video pulse wave extraction method based on progressive self-supervised learning, and the method comprises the steps: 1, preprocessing a face video clip, and obtaining an original signal; 2, processing the original signal by using a signal enhancement strategy to obtain an enhanced signal, and forming a positive sample pair with the original signal; 3, constructing a deep learning model capable of adaptively quantifying the contribution weight of the global domain of interest; 4, decomposing a video pulse wave extraction task into a signal extraction sub-task and a noise suppression sub-task, constructing a two-stage time-frequency domain joint loss function, and performing progressive self-supervised training; and 5, calling the pre-trained model to recover a high-quality pulse wave signal from the to-be-detected original signal to realize heart rate monitoring. According to the method, the deep learning model can be self-supervised and trained without a true value signal label, video pulse wave extraction is achieved, meanwhile, complex environment noise is restrained, the generalization performance of the model in a real scene is improved, and development of a non-contact health monitoring technology is promoted.

The invention relates to the technical field of physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The invention discloses a pressure monitoring method and device based on wearable equipment and electronic equipment. The method comprises the following steps: acquiring current photoelectric plethysmography (PPG) signals corresponding to a plurality of channels collected by wearable equipment; based on the current PPG signals corresponding to the multiple channels, candidate pulse wave sequences corresponding to the multiple channels are determined, and the candidate pulse wave sequences comprise multiple pulse waves of the corresponding channels; determining a target pulse wave sequence from the candidate pulse wave sequences corresponding to the multiple channels based on the pulse wave continuity evaluation results and the pulse wave quality evaluation results corresponding to the multiple channels; performing feature extraction on the target pulse wave sequence to obtain current heart rate variability features; and determining a current pressure monitoring result according to the current heart rate variability characteristic. According to the invention, the technical problem of low pressure monitoring accuracy and reliability of wearable equipment in a dynamic environment in the prior art is solved.

The invention relates to a multi-sensor fused vital sign and motion posture monitoring system and method. The system comprises a photoelectric volume pulse wave acquisition module, an electrocardio acquisition module, an inertia measurement module, a synchronization module, an artifact suppression module, a contact state recognition module, a data quality evaluation module, a vital sign extraction module and an anomaly detection module. Synchronously acquiring a photoelectric volume pulse wave signal, an electrocardiosignal and motion information; suppressing motion artifacts in the photoplethysmography signal and / or the electrocardiosignal based on the motion information; identifying the contact state and generating a data quality indicator related to the measurement reliability in combination with the de-artifact physiological signal; when the data quality meets a preset condition, heart rate, oxyhemoglobin saturation and / or breathing information are extracted, and vital sign parameters are formed; and carrying out conjoint analysis on the artifact-removed physiological signal and the motion information, and marking heart rate rhythm abnormity and / or posture abnormity. According to the invention, the reliability and availability of vital sign monitoring can be improved.

The invention discloses a method for detecting a fatigue state based on a multi-modal data fusion technology, and the method comprises the following steps: S1, collecting multi-modal training data through a sleep deprivation experiment, and carrying out the training of a model. Comprising fNIRS, ECG, PPG, GSP and Resp, hemoglobin concentration data, obtained through a fNIRS headband, of the forehead lobe of the brain is obviously related to fatigue, data of electrocardio, pulse waves, skin electricity and respiratory waves are obtained through an electrocardio sensor (pectoral girdle), a PPG bracelet, a GSR ring and a respiratory wave (Resp) sensor (waistband), the data collected by different devices are objective, the defects of psychological experiment methods are effectively overcome, and the psychological experiment accuracy is improved. And different modalities can provide complementary information, and even capture the features of the target from multiple angles.

The invention discloses an inpatient alarm bracelet system and method based on multi-parameter vital sign monitoring, and relates to the technical field of inpatient alarm bracelets. Matching corresponding vital sign parameter initial weights from a preset disease-parameter sensitivity mapping library, wherein the vital sign parameters comprise heart rate, respiratory rate, oxyhemoglobin saturation, body temperature and heart rate variability; the method comprises the following steps: establishing an individualized physiological fluctuation baseline model based on vital sign data collected at the initial stage of wearing in combination with a resting state time period identified by an acceleration sensor, and generating a dynamic reference interval; collecting photoelectric volume pulse waves, electrocardiosignals, body temperature and acceleration data, judging whether motion artifacts exist or not by analyzing the spectrum correlation between physiological signals and motion signals, and generating a signal quality mark; and calling the initial weight and the dynamic reference interval under the condition that the signal quality mark indicates that the data is valid.

An ultrasound imaging system (100) may automatically analyze a pulse wave Doppler spectrogram to determine high quality and low quality cardiac cycles. Based on the determination, the ultrasound imaging system (100) may exclude the low quality cardiac cycle from being used in calculations of parameter measurements such as peak systolic velocity, end diastolic velocity, and resistance index. In some examples, the ultrasound imaging system (100) may provide a visual indication on the display (138) which cardiac cycles were excluded from the measurements.

The invention discloses a smart watch arrhythmia early warning method and system based on deep learning. The method comprises the steps that firstly, PPG signals are collected through a photoelectric volume pulse wave sensor, and denoising and standardization processing are conducted through an adaptive filtering algorithm; then, the heart beat position is recognized through a wavelet transform peak value detection algorithm, and a heart rate variability feature sequence is obtained; converting the one-dimensional heart rate variability feature sequence into a two-dimensional heart rhythm image by using an improved Gramian angular field transformation algorithm; and training an arrhythmia classification model by adopting a ResNet-50 convolutional neural network to realize automatic identification of different types of arrhythmia. And finally, continuous monitoring and timely alarming are realized through a sliding window technology and an early warning mechanism. The key technical problems of low detection precision, poor real-time performance, high equipment cost, poor user experience and the like in the existing arrhythmia detection technology are effectively solved, and an innovative solution is provided for heart rhythm health monitoring of the intelligent wearable equipment.

The present application relates to the technical field of medical equipment, in particular to an automatic calibration method, a cardiac output monitoring method, a device and a monitoring device, the method comprising: acquiring a pulse wave signal of a target monitoring object; extracting at least one signal feature of the pulse wave signal; and determining a target correction factor based on the at least one signal feature. The signal feature is determined by using the pulse wave signal of the target monitoring object, and in the calibration process, the at least one signal feature is combined for processing, so that the target correction factor is automatically calibrated, thereby improving the reliability of the monitoring result.

The invention discloses a pulse wave signal detection-oriented transimpedance amplifier circuit with input voltage clamping and current offset functions, and relates to the technical field of integrated circuit design, the pulse wave signal detection-oriented transimpedance amplifier circuit comprises a pseudo-differential structure, a current offset module and a photosensitive diode, the pseudo-differential structure is composed of two independent operational amplifiers with double-end input and single-end output, the trans-impedance amplifier of a pseudo-differential structure composed of two independent operational amplifiers with double-end input and single-end output is used, the same voltage is connected to the same-direction input end of the trans-impedance amplifier, voltage clamping is carried out on double-end input, the differential mode precision and low-frequency stability of an input virtual site are improved, differential mode imbalance and flicker noise caused by operational amplifier mismatch are eliminated, and the stability of the trans-impedance amplifier is improved. The dynamic range of the pulse wave detection system is improved, and the pulse wave detection system has the advantages of high-precision and wide-range ambient light suppression effect, high circuit reliability, low circuit complexity, easy implementation, high loop stability, small area and low power consumption.

The invention provides a mental stress analysis method and equipment based on pulse waves. The method is applied to physiological signal processing. The method comprises the following steps: acquiring a pulse wave signal of a target object, wherein the pulse wave signal is a signal acquired by pulse wave acquisition equipment; extracting pulse rate change information from the pulse wave signal by using a window function with the length of 0, so as to obtain a forward pulse rate; reversely correcting a problem pulse rate in the forward pulse rate by adopting a path growth mode to obtain a target pulse rate; performing forward heartbeat point search on the target pulse rate, and performing reverse correction on the heartbeat point to obtain a heartbeat interval; calculating a heart rate variability parameter according to the heartbeat interval; and calculating the heart rate variability parameter by using a pre-constructed mental stress model to obtain a mental stress parameter. According to the invention, mental stress monitoring with low burden, high reliability and high accuracy is realized.

This invention discloses a high-viscosity heavy oil heat exchanger based on a spin-flow tortuous tube, comprising a shell, tube-side inlet and outlet, and shell-side inlet and outlet; a heat exchange tube bundle connected between the tube-side inlet and outlet, the heat exchange tube bundle being composed of multiple U-shaped spin-flow tortuous tubes arranged side by side; each spin-flow tortuous tube includes a tortuous tube inlet, a spiral guide rib, a tortuous tube outlet, and a vibration-damping support ring, the spiral guide rib being disposed on the inner wall of the vibration-damping support ring, the pitch of the spiral guide rib increasing linearly along the heavy oil flow direction; multiple baffles are uniformly arranged circumferentially on the heat exchange tube bundle, each baffle having multiple tube holes, the spin-flow tortuous tubes passing through the tube holes of the baffles and fitting with the clearance; an online cleaning device is installed on the shell, the online cleaning device monitoring the scaling condition through an acoustic wave monitor, and the control unit controlling a pulse generator to emit pulse waves to clean the scaling. This invention can achieve efficient and stable heat exchange of high-viscosity heavy oil under low energy consumption conditions, while simultaneously solving the performance degradation problem caused by scaling through an intelligent cleaning system.

The invention discloses a staged pump speed regulation and control implementation method for improving VA-ECMO cycle stability, and relates to the technical field of biomedical engineering. The method comprises the following steps: acquiring a real-time aorta pressure waveform, a peripheral artery pressure waveform and an ECMO post-pump pressure waveform of a patient, and extracting pulse wave characteristics, a pressure oscillation amplitude and phase deviation information; calculating a heart-ECMO blood flow intersection collision intensity index and evaluating a heart load state grade; acquiring a vascular compliance estimated value of a patient, and determining a target pump speed adjusting mode and adjusting amplitude according to a hierarchical regulation strategy library; and the current actual pump speed is obtained, a speed regulation decision is made, the ECMO pump is driven to execute graded stepped pump speed regulation, and the regulation speed is dynamically corrected in real time in the regulation process until the cyclic stable interval is reached. Quantitative evaluation and self-adaptive regulation and control of the pump speed are achieved, hemodynamic fluctuation is inhibited, and the stability and safety of VA-ECMO cycle support are improved.

The present application belongs to the technical field of health monitoring and medical equipment, and provides a syncope risk assessment method for children and adolescents based on a photoelectric plethysmogram signal, comprising: constructing a personal heart rate variability coefficient fitting baseline and a personal photoelectric plethysmogram amplitude variability coefficient fitting baseline, collecting a photoelectric plethysmogram signal under a real-time state of a user, calculating and obtaining a heart rate variability coefficient and a photoelectric plethysmogram amplitude variability coefficient under the real-time state of the user according to the photoelectric plethysmogram signal under the current state of the user, and calculating and obtaining a syncope risk score of the user at present through a comprehensive evaluation model constructed based on fuzzy logic fusion.The syncope risk assessment method for children and adolescents based on the photoelectric plethysmogram signal can accurately capture changes in the physiological state of a syncope precursor of a user, realize early warning of syncope occurrence, reserve sufficient time for subsequent intervention, and thus effectively prevent or delay the occurrence of a syncope phenomenon of the user.

The invention relates to the technical field of traditional Chinese medicine medical instruments and intelligent diagnosis, and discloses a portable pulse diagnosis auxiliary device based on feature acquisition, which comprises a main body shell, a base and a main control board are arranged in the main body shell, a three-channel servo array is mounted on the base, the three-channel servo array comprises three mutually independent servo modules, and the three servo modules are connected with the main control board. Each servo module comprises a driving motor, a displacement sensor and a homologous and co-located sensing head integrated with a piezoresistive sensor and a photoelectric volume pulse wave (PPG) sensor pair, and a pulse diagnosis logic system is constructed on the main control board; the pulse diagnosis logic system comprises a self-adaptive locating module, a data acquisition module, a diagnosis analysis module and a result output module. The pulse energy gradient algorithm is used for automatically locking the middle depth, the three-channel servo array is combined with the homologous and co-located sensing head to achieve multi-part multi-mode signal synchronous collection, and objectivity and accuracy of pulse diagnosis auxiliary diagnosis are improved.

This invention discloses an intelligent psychological guidance system for harmonizing the Qi of the internal organs based on TCM emotional differentiation, belonging to the field of medical electronic equipment. The system includes a multi-node physiological signal acquisition module, a central control and data processing module, and an acoustic intervention output module. The system synchronously acquires multi-channel bioimpedance, volumetric pulse wave, and electrocardiogram signals, extracts pulse wave conduction time and local blood perfusion index, constructs Qi characteristic parameters, and maps them to generate emotional tags. The central control module locks the target resonance unlocking frequency according to the tags, modulates low-frequency vibrations with reference audio to synthesize a multimodal signal, and further combines physiological pulse transmission delay to perform phase compensation, controlling the precise output of the intervention signal during ventricular diastole. Steady-state determination and closed-loop tracking are performed based on the dynamic gradient of impedance variance. This invention achieves objective quantification of TCM differentiation and ensures high-precision physical alignment between intervention energy and the hemodynamic state of the internal organs.

The invention provides a signal processing method and a related device. The signal processing method comprises the following steps: acquiring a first signal and a second signal; wherein the first signal is an echo signal reflected by a first body part of a target object, the echo signal is a signal obtained after a wireless signal sent by terminal equipment is reflected, and the second signal is an image signal of a second body part of the target object; the first body part is closer to one side of the heart of the target object than the second body part; based on the first signal and the second signal, the transmission time of pulse waves is determined; and determining physiological parameters of the target object based on the transmission time of the pulse wave. According to the method, the accuracy of the detected physiological parameters of the target object can be improved, and meanwhile, the method can be suitable for portable terminal equipment.

The invention relates to the field of biomedical ultrasonic imaging, and discloses a pulse wave detection method and system based on ultrafast Doppler imaging, and the method comprises the steps: firstly obtaining a dynamic power Doppler image of the blood flow of a biological tissue; performing spectral analysis on the Doppler signal of each pixel point in the image to obtain a function that the frequency spectrum changes along with time; and on the basis, calculating a blood flow speed time sequence, an impedance index and a pulsation index of each pixel point, and finally obtaining an impedance index distribution diagram and a pulsation index distribution diagram of the whole blood vessel network. According to the method, ultrafast imaging and spectral analysis technologies are ingeniously combined, the structure and the function of the vascular network can be comprehensively evaluated, a new technical means is provided for hemodynamic research and disease diagnosis of organs such as spinal cords, hearts and brains, and the method has a wide application prospect.

To provide a smoke detector capable of detecting smoke more quickly than a conventional smoke detector.SOLUTION: The smoke detector 11 includes a light emitting unit 111, a light receiving unit 113, a light receiving unit 114, and a control unit 118. The light receiving unit 113 receives scattered light that is emitted from the light emitting unit 111 and scattered by the particles contained in the air in the region A. The light receiving unit 114 receives reflected light that is emitted from the light emitting unit 111 and reflected by a particle passing through the position B. The control unit 118 measures the number of particles that have passed through position B within the most recent period of a predetermined length of time by counting the pulse waves that appear in the change over time of the light intensity signal outputted from the light receiver 114. The control unit 118 determines the presence or absence of smoke in the external space based on the number of particles thus measured and the amplitude of the light intensity signal output from the light receiving part 113.SELECTED DRAWING: Figure 2

The invention discloses a cell pulsation culture device, a drug screening method and a manufacturing process. The cell pulsation culture device comprises a base, a first connecting plate, a second connecting plate and a reaction bin, the first connecting plate is connected with the base, the second connecting plate is slidably connected with the base, the second connecting plate is configured to be close to or away from the first connecting plate in the horizontal direction, and the first connecting plate and the second connecting plate are provided with a plurality of first mounting grooves and second mounting grooves correspondingly. Two ends of the reaction bin are respectively arranged in the first mounting groove and the second mounting groove, and the reaction bin is used for accommodating a target sample. Wherein the reaction bin has elasticity, and the second connecting plate can be configured to be close to or far away from the first connecting plate periodically along preset parameters, so that the reaction bin provides at least one waveform of rising branch, dominant wave, tidal wave, falling strait and dicrotic wave for the target sample. According to the invention, a plurality of complex waveforms can be simulated, homogeneous mechanical stimulation of a multi-channel target sample is realized, the experiment efficiency is high, and the reliability is high.

The invention relates to a glass-based photoelectric volume pulse wave cover plate material as well as a preparation method and application thereof. The cover plate material comprises: a glass substrate; the annular structural part is embedded in the glass substrate; the annular structural member and the glass substrate are made of the same material; the glass substrate comprises the following components in percentage by mass: 0.1 wt%-0.2 wt% of BaO; 0.1 wt% to 0.6 wt% of PbO; 0.1 wt% to 0.7 wt% of Sb2O3; 25 wt%-61 wt% of SiO2; 16 wt% to 18 wt% of B2O3; 10 wt% to 15 wt% of Al2O3; 8 wt% to 12 wt% of R2O; wherein R2O is composed of Li2O, Na2O and K2O, and the content of K2O is smaller than that of Na2O. The technical problem to be solved is to provide the cover plate material with a large number of sensor optical channels, so that the cover plate material has high transmittance and high crosstalk resistance, a plurality of optical paths can be formed in the cover plate material, and the problems of scattering and the like in the light propagation process are reduced by selecting single glass with a specific formula, so that the light transmission efficiency is improved. The energy loss in the light ray propagation process is reduced, and the propagation distance of the light rays in the glass cover plate is increased; meanwhile, the glass cover plate also has higher mechanical strength.

The invention provides a multi-sensor fusion-based blood pressure dynamic measurement method and an intelligent wearable device. The method comprises the following steps: respectively acquiring an arterial pulse signal, a motion state signal and a photoelectric pulse wave signal of a wearing user based on an arterial pulse sensor, an acceleration sensor and a photoelectric pulse wave sensor; performing interference optimization on an initial peak value characteristic sequence in the arterial pulse signal based on the motion amplitude change sequence of the motion state signal to obtain an optimized peak value characteristic sequence; based on the optimized peak value feature sequence and the waveform feature sequence of the photoelectric pulse wave signal, feature correlation matching of the arterial pulse and the pulse wave is carried out, and a feature correlation result is obtained; the feature matching pair corresponding to the systolic pressure and the feature matching pair corresponding to the diastolic pressure are analyzed based on the feature correlation result, a systolic pressure characterization amplitude is obtained, blood pressure measurement is conducted on the wearer based on the systolic pressure characterization amplitude, and an ambulatory blood pressure measurement result is obtained. The reliability and accuracy of ambulatory blood pressure monitoring are improved.

The present invention is a method of adjusting a pulse wave measurement device attachable to a user's wrist. The pulse wave measurement device includes: a pulse wave sensor including a strain gauge and configured to acquire pulse wave by measuring radial artery pulse; pressing part for pressing the pulse wave sensor to the radial artery; and output part for outputting a measured value of the pulse wave sensor as digital signal. The adjusting method includes: acquiring pulse wave using pulse wave sensor when the pulse wave measurement device is attached to user's wrist, and outputting measured value thus acquired, as a digital signal; comparing voltage level of the digital signal with a range previously set with respect to maximum voltage level of output part; and adjusting or instructing pressing force on pulse wave sensor in a case where voltage level of the digital signal is outside the previously set range.

The utility model provides a boost frequency modulation circuit of an ultrasonic beauty instrument and the ultrasonic beauty instrument, the boost frequency modulation circuit comprises a boost branch circuit used for boosting and outputting the input voltage of the ultrasonic beauty instrument, the boost branch circuit is provided with an on-off switch, the boost frequency modulation circuit also comprises a frequency modulation branch circuit, and the frequency modulation branch circuit comprises a frequency modulation optocoupler. The input end of the frequency modulation optocoupler is connected with the frequency modulation pulse end of the controller, and the output end is connected with the control end of the on-off switch. When the ultrasonic beauty instrument works, the boost branch boosts the input voltage of the ultrasonic beauty instrument and outputs the boosted voltage, at the moment, the frequency modulation pulse end of the controller inputs pulse waves with set frequency to the frequency modulation optocoupler, the frequency modulation optocoupler controls the on-off switch and the switching frequency of the boost branch at the set frequency, and therefore the boost branch is controlled to output voltage at the set frequency. The ultrasonic beauty instrument outputs ultrasonic waves at the set frequency, and the frequency accuracy of the ultrasonic waves output by the ultrasonic beauty instrument can be improved.

A biological body detection device is provided with at least one radar and an ECU. The radar is mounted in a vehicle, transmits a pulse wave of a predetermined frequency, and receives a reflected wave of the pulse wave. The radar performs a plurality of times of transmission and reception at predetermined intervals. The reception time of the reflected wave is longer than the time corresponding to the distance between the radar and the position farthest from the radar in the end portion of the vehicle. The ECU detects the presence or absence of a living body on the basis of a reception signal during multiple transmissions and receptions.

The invention relates to the technical field of intelligent medical treatment, and provides a blood vessel function detection method based on multi-physiological signal fusion and a related product. The method comprises the following steps: respectively acquiring arterial pulse wave signals of a first measurement part and a second measurement part of a user through a first sensor and a second sensor configured on the wearable equipment; collecting motion state data of a user in the process of collecting the arterial pulse wave signal through an inertial measurement unit configured on the wearable device, and dynamically compensating the arterial pulse wave signal based on the motion state data; extracting a characteristic waveform through a signal processing model based on the dynamically compensated arterial pulse wave signal; according to the first characteristic waveform and the second characteristic waveform after dynamic compensation, calculating the characteristic time difference of the pulse wave conducted from the first measurement part to the second measurement part; and inputting the characteristic time difference, the static physiological parameter of the user and / or at least one waveform morphological parameter into a blood vessel hardness evaluation model to obtain a blood vessel hardness evaluation value.

This disclosure provides a method, apparatus, device, storage medium, and program product for testing non-invasive blood pressure measurement devices. The method includes extracting invasive blood pressure reference value features from test records based on a preset blood pressure assignment model, extracting pulse wave morphological features from test records, fusing the two features to obtain a multi-dimensional fused feature vector, calculating the multi-dimensional fused feature vector based on the blood pressure assignment model to obtain an invasive blood pressure prediction value, performing a numerical judgment on the invasive blood pressure test value based on the invasive blood pressure prediction value to obtain a numerical judgment result, generating the device accuracy status of the non-invasive blood pressure measurement device based on the numerical judgment result, and generating a test report of the non-invasive blood pressure measurement device containing evaluation conclusions according to a preset report template. This achieves personalized accuracy evaluation of non-invasive blood pressure measurement devices, improves evaluation reliability, reduces long-term dependence on invasive measurements, and forms a standardized evaluation closed loop.