35 results about "Pulse wave" patented technology

The application discloses an STO safety torque off circuit, comprising: the first shutdown circuit and the second shutdown circuit both comprise: the output end of an STO signal input circuit is connected with the input end of a delay shaping circuit, and the output end of the delay shaping circuit is connected with an or gate circuit; the output end of a DSP processor is connected with the input end of a high pulse wave generating circuit, and the high pulse wave generating circuit is connected with the STO signal input circuit; the input end of a diagnosis circuit is connected with the output end of the STO signal input circuit; the output end of the diagnosis circuit is connected with the or gate circuit; the or gate circuit is connected with a servo drive circuit; the output end of the DSP processor is also connected with the input end of the servo drive circuit; the output end of the STO signal input circuit, the output end of the delay shaping circuit and the output end of the diagnosis circuit in the first shutdown circuit and the second shutdown circuit are also connected with the input end of the DSP processor respectively. Through the application, the shutdown reliability and the fault positioning accuracy are improved.

This invention discloses a method for detecting link faults in a wearable vital signs simulator (WVSS) based on photoplethysmography (PPG), belonging to the field of intelligent fault diagnosis. The invention acquires the WVSS's set parameters and calculates the expected ideal AC / DC ratio based on pre-stored calibration coefficients. Within a continuous diagnostic time window, it acquires a PPG digital sequence, calculates the measured AC / DC ratio, and differs it from the expected value to obtain the parameter domain residual. Through adaptive pulse template reconstruction, it obtains a microstructure residual sequence and calculates its energy in the key frequency band as the microstructure distortion intensity. It calculates the absolute value of the correlation coefficient between the parameter domain residual sequence and the microstructure distortion intensity sequence within the continuous time window as a link integrity diagnostic indicator. After comparison with a preset threshold, it classifies and determines whether the link is intact, degraded, or faulty. This invention relies solely on the WVSS's own output signal, can distinguish between gain drift and waveform structural distortion, and possesses the ability to locate, classify, and interpret faults. It is suitable for production line calibration, on-site maintenance, and built-in self-test scenarios.

This invention belongs to the field of nasal alar pulse wave signal processing technology, and provides a method, apparatus, medium, and wearable device for nasal alar pulse wave signal processing. The method includes: extracting the respiratory cycle based on the respiratory signal; determining the length of the mean sliding filter window to filter out the DC component of the original nasal alar pulse wave signal, obtaining a filtered nasal alar pulse wave signal; extracting the amplitude of the AC component of the filtered nasal alar pulse wave signal; adjusting the current of the light source element corresponding to the pulse wave signal sensing element to make the amplitude of the AC component of the filtered nasal alar pulse wave signal greater than or equal to a preset amplitude threshold; further filtering the nasal alar pulse wave signal using an adaptive weighted moving average filtering algorithm; and determining whether a nasal alar pulse wave signal meeting preset quality requirements is obtained based on a comparison between the noise figure of the further filtered nasal alar pulse wave signal and a preset noise figure threshold.

A mobility service providing method and apparatus are provided. The method includes: moving, by a vehicle, to a customer when the customer requests the vehicle to provide a mobility service and forming, by one or more anchors mounted on the vehicle, an Ultra-Wide Band (UWB) link with an information technology (IT) device carried by the customer when a determination is made that a distance between the vehicle and the customer is within a predetermined distance; performing a smart anchor positioning (SAP) algorithm to estimate a position of the IT device; performing position-based security authentication with the customer; and arriving, by the vehicle, at the customer, wherein the one or more anchors and the IT device transmit or receive UWB pulse waves.

This invention discloses a method for detecting link faults in a wearable vital signs simulator (WVSS) based on photoplethysmography (PPG), belonging to the field of intelligent fault diagnosis. The invention acquires the WVSS's set parameters and calculates the expected ideal AC / DC ratio based on pre-stored calibration coefficients. Within a continuous diagnostic time window, it acquires a PPG digital sequence, calculates the measured AC / DC ratio, and differs it from the expected value to obtain the parameter domain residual. Through adaptive pulse template reconstruction, it obtains a microstructure residual sequence and calculates its energy in the key frequency band as the microstructure distortion intensity. It calculates the absolute value of the correlation coefficient between the parameter domain residual sequence and the microstructure distortion intensity sequence within the continuous time window as a link integrity diagnostic indicator. After comparison with a preset threshold, it classifies and determines whether the link is intact, degraded, or faulty. This invention relies solely on the WVSS's own output signal, can distinguish between gain drift and waveform structural distortion, and possesses the ability to locate, classify, and interpret faults. It is suitable for production line calibration, on-site maintenance, and built-in self-test scenarios.

This detection system comprises: a detection device having a pulse wave sensor and an acceleration sensor; a data processing device capable of communicating with the detection device; and a management device that performs notification according to information received from the data processing device. The pulse wave sensor and the acceleration sensor alternately repeat a measurement state and a standby state. The data processing device has a pulse wave data processing unit that calculates an acceleration pulse wave from a pulse wave, a body movement data processing unit that performs frequency analysis of acceleration, and a determination unit that determines whether a person wearing the detection device is suspected of having developed sepsis. When at least one of a first condition and a second condition is satisfied, the determination unit transmits, to the management device, information indicating that there is a suspicion of sepsis. The first condition is that the spectral intensity in a specific frequency band among the frequency components of the acceleration obtained during one measurement state is equal to or greater than a predetermined threshold. The second condition is that the average value of acceleration pulse wave amplitudes of the acceleration pulse wave calculated from the pulse wave obtained during one measurement state is equal to or greater than a predetermined prescribed value.

This invention discloses a respiratory rate extraction method based on multimodal pulse wave feature fusion, comprising: 1. filtering and windowing the pulse wave signal; 2. extracting four types of non-uniform sampling feature sequences from each signal window: respiratory induction amplitude variation, respiratory induction intensity variation, respiratory induction frequency variation, and respiratory induction continuous contraction difference variation; 3. converting each sequence to the frequency domain using a Lomb-Scargle periodogram, extracting the corresponding respiratory rate estimate, and calculating signal quality indices including main peak significance, in-band signal-to-noise ratio, and harmonic energy ratio; 4. constructing a four-dimensional feature vector based on the respiratory rate and quality indices corresponding to each feature, obtaining a preliminary frequency estimate through comprehensive confidence weighting, consensus cluster fusion, and harmonic correction, and then outputting the final respiratory rate after time-series smoothing. This invention can achieve complementary fusion of multiple features, thereby effectively improving the robustness and accuracy of respiratory rate estimation.

The application discloses a kind of video physiological signal dynamic extraction method and device, collect video and carry out face detection and posture correction to each frame video;The corrected face image is divided into micro-grid, and the brightness of each micro-grid is response-delay coding, and the pulse sequence of presynaptic pulse neuron is generated;Through membrane potential model and mutual inhibition between pulse neurons, competition is carried out and combined with connection weight, and the pulse emission time and pulse frequency of postsynaptic pulse neuron are obtained;According to the time difference between presynaptic and postsynaptic pulse neuron, dynamically adjust connection weight;After sorting and screening the pulse frequency of all postsynaptic neurons, it is mapped to the pulse sequence formed by corresponding micro-grid and weighted fusion, and the final pulse wave signal is generated;Finally, the physiological parameters of practitioner are obtained by calculating pulse wave signal, and the connection weight is adjusted by signal quality evaluation, and the strategy optimization of pulse wave signal extraction is realized continuously.

This application relates to the field of electronic atomization technology, and discloses a user physiological state feedback device, method, electronic atomizer, and storage medium. The method includes: before the user begins inhalation, acquiring the user's first pulse wave signal and establishing a physiological state baseline based on the first pulse wave signal; when the user ends inhalation, acquiring the user's second pulse wave signal; determining a physiological load index based on the physiological state baseline and the second pulse wave signal, and generating prompt information to provide feedback to the user based on the physiological load index. During the user's use of the electronic atomizer, this method can monitor the user's physiological state and provide relevant prompts, reducing potential safety hazards during electronic atomizer use and improving user safety.

The application discloses a kind of intelligent eccentric wheel design method and system based on pulse wave waveform, which comprises the following steps: step 1, receive pulse waveform image and adopt multi-mode extraction algorithm to process, obtain the feature point set containing waveform amplitude data sequence and waveform angle data sequence, simultaneously obtain three-dimensional printing material attribute data and dynamic load damping parameter;Step 2, the waveform angle data sequence is mapped as polar angle, the waveform amplitude data sequence is mapped as polar radius, an initial polar coordinate radius sequence is generated after interpolation processing, and initial eccentric wheel profile data is generated accordingly.The radial displacement response of the eccentric wheel profile under the actual operating environment is dynamically modeled, and the reverse compensation factor is extracted accordingly.This mechanism injects compensation gain in advance through dynamic modeling during the digital design phase, ensuring that the eccentric wheel can still accurately reproduce the target pulse wave under pressure movement, and achieving high consistency between mechanical output and medical atlas.

The present application relates to a kind of end side reasoning and host computer intelligent analysis combination's noninvasive blood glucose screening system and method, belong to biomedical detection technical field.The system includes finger clamp type acquisition device, PPG optical sensor module, main control processing module, communication module and host computer analysis module.PPG optical sensor module emits red light and infrared light to finger tissue and collects photoelectric volume pulse wave signal;Main control processing module carries out pre-processing, quality evaluation and feature extraction to PPG signal, and obtains blood glucose estimation value based on end side blood glucose estimation model reasoning calculation;Communication module sends data to host computer, and host computer carries out trend analysis and risk assessment to data.The present application solves the problem that real-time is poor in prior art due to dependence on cloud or host computer calculation, improves detection efficiency and reduces data transmission burden, and is suitable for noninvasive blood glucose screening and health management.

This invention discloses an indoor mid-to-long-range camera heart rate detection method and system with resistance to environmental interference. The host computer acquires one video stream from each camera to determine the video frame sequence of the current optimal viewing angle. Face detection, tracking, and ROI localization are performed on the video frame sequence to obtain the face ROI region for each video frame. Rigid motion noise filtering is applied to the video frame sequence to obtain an aligned frame sequence and a reference frame sequence. The face ROI region of each aligned frame is determined based on the face ROI region of the reference frame. The ROI signal is determined based on the face ROI region of the aligned frame, and non-rigid noise is filtered out to obtain a pulse wave signal. The heart rate value corresponding to the current sliding window is determined based on the pulse wave signal, and a corresponding quality score is determined. This, combined with a preset correspondence between distance and available focal length, allows for adaptive adjustment of the camera focal length. This invention exhibits high robustness, accuracy, and stability.

The embodiment of the present application provides a detection module and electronic equipment. The detection module comprises a pressing member and a thin film sensor. The pressing member is used for pressing a measurement site. The thin film sensor is used for measuring a pulse wave signal of the measurement site, and the thin film sensor is arranged between the pressing member and the measurement site. The detection module and the electronic equipment provided by the embodiment of the present application can reduce the difficulty of miniaturization of the electronic equipment.

The application discloses a photosensitive pixel circuit, an image sensor, a camera module and electronic equipment, and belongs to the technical field of camera equipment. The photosensitive pixel circuit comprises a signal output module, a delay control module, a counting module and an event trigger logic module. The signal output module is used for generating a pulse wave signal based on a light signal received by a pixel, and outputting a first pulse square wave signal based on the pulse wave signal. The delay control module is used for receiving the first pulse square wave signal, and adjusting a time interval of the pulse wave signal output by the signal output module according to the first pulse square wave signal. The counting module is used for receiving the first pulse square wave signal, obtaining a second pulse square wave signal according to the first pulse square wave signal, counting photons according to the second pulse square wave signal, and outputting a counting value to the event trigger logic module. The event trigger logic module is used for outputting a first event trigger signal or a second event trigger signal according to the counting value, the first event trigger signal being used for representing a brightness change direction of a pixel from bright to dark, and the second event trigger signal being used for representing a brightness change direction of a pixel from dark to bright.

The application provides a controller of a parallel power amplifier based on FPGA control, which comprises an input buffer circuit, a voltage controller, an FPGA controller, a digital PWM generator and a filter circuit; the input buffer circuit receives and processes an input signal, so as to ensure the stability of the frequency response of the input signal; the voltage controller adopts a negative feedback control mode, so as to realize constant voltage driving of a power amplifier system; the FPGA controller receives a current feedback signal output by the filter circuit and a voltage signal output by the voltage controller, and outputs a PWM pulse wave, so as to drive the power amplifier system.

This invention discloses a high-efficiency MVR decomposition and evaporation system for sodium bicarbonate production, replacing a wet decomposition tower. The system includes a buffer tank for receiving saline wastewater from a raw material tank; a preheater for receiving the saline wastewater from the buffer tank and initially raising its temperature; a heating chamber for receiving the preheated saline wastewater from the preheater; an evaporation chamber for flash evaporation of the heated brine to obtain a concentrated solution; a carbonization tower for receiving the concentrated solution from the evaporation chamber and CO2 gas supplied from another inlet for a carbonization reaction; an online monitoring module for real-time monitoring of scaling trends in the evaporation chamber; and a high-frequency electromagnetic pulse device for periodically flushing the evaporation chamber with high-frequency pulse waves, thereby periodically disturbing the solution to inhibit crystal growth. This high-efficiency decomposition and evaporation system offers advantages such as low energy consumption, environmental friendliness, small footprint, and high safety and reliability. It provides an alternative to the wet decomposition tower necessary in sodium bicarbonate production, reduces evaporation water volume, and offers a new technological approach.

This invention discloses a non-invasive blood pressure reconstruction system and method based on physical decomposition and blood flow drift modeling, belonging to the field of biomedical signal processing technology. This invention decouples the absolute arterial blood pressure waveform reconstruction task into a waveform morphology reconstruction stage and a blood pressure drift calibration stage. The waveform morphology reconstruction stage outputs a normalized arterial blood pressure waveform based on photoplethysmography (PPG) pulse wave signals and individual characteristic information. The blood pressure drift calibration stage uses intermittent non-invasive blood pressure measurements as calibration anchors and predicts the blood pressure parameter drift by combining calibration timeliness information. The normalized arterial blood pressure waveform and the blood pressure parameter drift are synthesized into an absolute arterial blood pressure waveform. The waveform morphology reconstruction stage and the blood pressure drift calibration stage are trained separately. Trust window management is performed based on the calibration time interval, triggering safety output control when calibration information exceeds the effective timeliness. When a new intermittent measurement value arrives, the calibration anchor is updated and the calibration time interval is reset.

The application discloses a kind of to the consciousness level evaluation system for wounded person, it is related to personnel consciousness evaluation grading technical field, including the acquisition module for obtaining the electroencephalogram signal and the photoplethysmogram signal of two channels of brain of wounded person, the digitization processing module of corresponding module electric signal digitization conversion, feature extraction module extracts time domain feature, frequency domain feature and entropy from electroencephalogram digital signal, from the ratio of pulse wave digital signal, calculate blood oxygen saturation and calculate blood perfusion index, consciousness evaluation module passes through fusion feature vector input consciousness state assessment model, output continuous consciousness state score, and with multiple threshold mapping obtains consciousness grade.The system of the application carries out time domain, frequency domain and nonlinear analysis respectively in the feature extraction of electroencephalogram signal and pulse wave signal, and blood oxygen and blood perfusion degree calculation, realizes the quantitative description and grading determination to the consciousness level of wounded person.

An OLED print head includes a control unit and a plurality of lighting units. The control unit is configured to output a start signal and a brightness signal. Each lighting unit includes a shift register, a driving circuit and an OLED. These shift registers are connected in series so that a shift output terminal of a previous stage's shift register is coupled to a shift input terminal of a subsequent stage's shift register. An actuation output terminal of each shift register outputs an actuation output signal, and the actuation output signal has an actuation pulse wave corresponding to a time point of a trigger pulse wave. The driving circuit is configured to store a brightness voltage corresponding to the brightness signal in a driving capacitor in response to the trigger pulse wave of a scanning signal.

This invention provides a method and system for establishing a pulmonary hypertension (PH) identification model using the Ivy League optimization algorithm, relating to the field of medical diagnostic technology. The method includes: simultaneously acquiring and preprocessing pulse wave and speech signals; using the LASSO algorithm to reduce the dimensionality and select features from the multimodal fusion data, addressing the curse of dimensionality and redundant collinearity; constructing a Bi-LSTM-Attention identification model, utilizing a bidirectional long short-term memory network to capture temporal dependencies, and combining an attention mechanism to automatically identify key time segments; and employing the Ivy League optimization algorithm to globally optimize the model's hyperparameters, overcoming the shortcomings of traditional gradient descent algorithms that easily get trapped in local extrema. This invention, through multimodal signal fusion and intelligent optimization strategies, significantly improves the accuracy and robustness of PH identification, providing an effective technical means for non-invasive, early screening of PH.

This invention discloses a near-field communication electronic device, a card reader, and a wake-up method thereof. In this method, the card reader periodically transmits a probe wave of fixed amplitude; after receiving the probe wave, the analog card modulates it with a pulse wave of varying amplitude and transmits it back to the card reader; the card reader detects the amplitude changes of multiple received signals and calculates the amplitude difference between adjacent signals; if the amplitude difference of multiple consecutive signals conforms to a preset regularity, a wake-up interrupt is triggered and communication is established. This invention significantly improves the card reader's detection sensitivity and anti-interference capability for analog cards by identifying the trend of amplitude changes, making it particularly suitable for wearable devices with limited antenna size.

This invention discloses a digestive tract pulsed electric field ablation device and system. The device includes an electrode array membrane containing multiple electrode pairs, a pulse generator, a detection module, and a control unit. The pulse signal output terminal of the pulse generator is coupled to the electrode pairs to output a sequence of pulse waves to generate an ablation current on the electrode pairs. The detection signal output terminal of the detection module is coupled to the electrode pairs to output a swept-frequency excitation signal during the pulse interval to generate a detection current and acquire an echo signal. The detection excitation signal covers at least two frequency points within a preset frequency range. The control unit controls the pulse generator to output a sequence of pulse waves, controls the detection module to output a swept-frequency excitation signal during the pulse interval, and controls the pulse generator based on the echo signal. The digestive tract pulsed electric field ablation device and system provided by this invention can balance safety, effectiveness, and accuracy for different individuals.

The application discloses a kind of short-term memory of hearing quantification evaluation method based on snare drum rhythm imitation training, the test system comprising host computer, PPG sensor and electronic drum is first constructed, and the score of the short-term memory of hearing of the subject is obtained as supervision label by DMTS;Snare drum rhythm imitation training is then executed, and the average piece of time-consuming, training times and other behavior data are recorded synchronously, and resting pulse wave signal is collected before and after training;IBI sequence is constructed by band-pass filtering, valley detection and other pretreatments to pulse wave signal, and the difference features before and after training are extracted by extracting pulse rate variability features;Finally, the supervised learning regression model is constructed by fusing physiological features and training behavior features, the non-linear characteristics are fitted by smoothing function, the overfitting is inhibited by regularization constraint, and the objective quantification result of the short-term memory of hearing of new subject is output.The application realizes the integration of measurement and training evaluation, improves the objectivity, stability and repeatability of evaluation, and provides a systematic and deployable technical solution.

The application discloses a kind of individualized blood pressure monitoring methods based on group prototype library, belong to biomedical signal processing and artificial intelligence technical field.Aiming at the problem that existing model is poor in generalization ability on new user, and needs a lot of calibration data, the application first constructs group prototype library: collect the pressure pulse wave signals and reference blood pressure of multiple users, extract waveform feature prototype through pre-training encoder, and store the individualized prediction model of each user in association.For new user, based on the theory of few-sample learning, collect 3-5 calibration data to extract target features, calculate the similarity with the prototype in the library to select K neighbor models;Further, evaluate the prediction uncertainty of each neighbor model on the calibration data, calculate the weighted fusion weight based on the dual mechanism of similarity and uncertainty, and dynamically adjust the weight parameter according to the data volume to construct the individualized model of target user.

The application discloses a data big data analysis method and system for noninvasive cardiac output monitoring, which comprises the following steps: collecting radial artery multi-channel signals through a sensor array signal processing platform, processing and screening effective signals, extracting features through a pulse wave transmission time analysis algorithm, and constructing a time series data set; then, a radial artery tension waveform analysis model is used to decompose characteristic wave groups to obtain parameters, blood vessel elasticity dynamic compensation model is combined to adjust compensation coefficients to obtain blood vessel elasticity related parameters; data is integrated and input into a big data analysis module, multi-feature fusion processing is performed to establish correlation mapping and iterative optimization, and monitoring results are output, and each key step comprises detailed sub-steps to ensure processing precision. The system corresponds to the method and is provided with six units. The method and the system solve the problems of loose connection between signal processing and analysis in the prior art, dependence on a single parameter and lack of dynamic compensation, improve monitoring precision, and meet clinical requirements.

The application relates to the technical field of medical artificial intelligence, and particularly discloses a heart mechanical efficiency evaluation method based on a strain-blood flow coupling model, which comprises the following steps: synchronously collecting electrocardio, heart sound and photoelectric volume pulse wave signals, adopting master-slave clock synchronization and R wave triggering alignment to realize multi-modal signal timing calibration; extracting myocardial strain rate, stroke volume and systolic energy consumption coefficient based on the calibrated signals, and constructing a strain-blood flow coupling efficiency index; dynamically calibrating the coupling efficiency index through a double-parameter self-calibration mechanism of heart rate drift and heart rate change rate; and finally combining multi-scale feature extraction and a gradient boosting decision tree model to output a heart mechanical efficiency grade and an ischemia risk probability; the application solves the problems of missing dynamic load evaluation, isolated multi-modal parameters and insufficient individual difference adaptability in the prior art, and realizes early myocardial ischemia detection sensitivity and wearable device-level real-time monitoring capability.

The present application relates to the technical field of medical devices, in particular to a baseline blood oxygen saturation and pulse wave waveform continuous monitoring system and method. The system comprises a base, and a wrist fixing unit, an arterial compression unit, a positioning adjustment unit, a compression control unit and a blood oxygen monitoring module integrated on the base; the wrist fixing unit is used for supporting and stabilizing the wrist of a patient to maintain a detection posture; the arterial compression unit is used for compressing radial artery and ulnar artery respectively; the positioning adjustment unit is used for adjusting and locking the distance between the two compression heads to align the surface projection points of radial artery and ulnar artery; the compression control unit is used for realizing synchronous stable compression of double arteries and unilateral selective release; the blood oxygen monitoring module is integrated in the wrist fixing unit and is used for collecting blood oxygen saturation values and pulse wave waveform data of the palm region of the patient in real time. The present application can realize standardized arterial compression and integrate blood oxygen and pulse wave monitoring functions.

A constant frequency DC / DC power converter includes an input terminal, an output terminal, a pulse wave generator electrically coupled to the input terminal, and a resonant rectification network electrically coupled to the pulse wave generator. The pulse wave generator is configured to generate a sequence of pulse voltages having a waveform of pulse waves. The resonant rectification network is configured to convert the pulse voltages to an intermediate voltage and to rectify the intermediate voltage. The resonant rectification network includes a transformer having a primary winding and a secondary winding, at least one DC blocking capacitor electrically coupled to the primary winding, a magnetizing inductor connected in parallel with the primary winding, a rectifier electrically coupled to the secondary winding, a filter capacitor electrically coupled to the rectifier, a resonant capacitor electrically coupled to the transformer, and at least one resonant inductor electrically coupled to the transformer. The filter capacitor is connected in parallel with the output terminal. The constant frequency DC / DC power converter further includes a control unit configured to vary a duty cycle of the pulse wave generator while keeping a frequency of the pulse wave generator constant. The constant frequency DC / DC power converter features lower rectifier losses, lower EMI, simple constant frequency control, and total lagging current drawn from the pulse wave generator.

This invention discloses a multimodal non-contact physiological monitoring system that integrates IMU signals, comprising: a data acquisition module (1): for acquiring facial video data and IMU data of the user, and for transmitting the facial video data and IMU data to a fusion processing module (2); a fusion processing module (2): for receiving the facial video data and IMU data transmitted by the data acquisition module (1) and determining pulse wave output, emotion output, and eye movement output based on the facial video data and IMU data, and for transmitting the pulse wave output, emotion output, and eye movement output to a display module (3); and a display module (3): for receiving and displaying the pulse wave output, emotion output, and eye movement output transmitted by the fusion processing module (2) in real time. This invention improves the interaction efficiency and accuracy of the non-contact physiological monitoring system by integrating video information and IMU signal output multimodal parameters.

The application discloses a photoelectric plethysmogram signal repairing method based on segmented quality evaluation and frequency domain constraint, which comprises the following steps: preprocessing the obtained original photoelectric plethysmogram signal; performing power spectrum density analysis on the pretreated signal, and extracting the main frequency information in the frequency band corresponding to the heart rate; further dividing the pretreated signal into n non-overlapping signal segments, and performing quality scoring on each signal segment; generating a sine wave signal segment consistent with the length of the signal segment with the lowest quality score and the sampling rate according to the main frequency information, and replacing the signal segment with the lowest quality score to form a pseudo pulse wave signal; inputting the pseudo pulse wave signal into a signal repairing model for processing, and outputting a high-quality photoelectric plethysmogram signal. The application can repair abnormal segments in the continuous photoelectric plethysmogram signal, improve the continuity and stability of the signal, and help accurate analysis of the heart rate and related physiological parameters.