154 results about "Pressure waveform" patented technology

The invention belongs to the technical field of image processing, and relates to a defect traceability analysis method of a jewelry multiple surface treatment process, which comprises the following steps: injecting three marking substances corresponding to light with different wavelengths into surface positions with different depths to form a marking layer which can be identified by subsequent detection equipment; generating processing record data of the current process; collecting a pressure change waveform applied to the gemstone in the machining process, and generating a mechanical feature vector in combination with working parameters of equipment; inputting the processing record data and the mechanical feature vector into a preset process knowledge base to identify an abnormal parameter coupling relationship, and generating defect reason positioning information; comparing the deviation values of the actual parameters and the digital twinborn standard parameters layer by layer to generate a visual deviation report; generating a machine executable process optimization instruction; and updating through a transfer learning algorithm to form a self-evolution quality control link. The problem that a complete evidence chain from stress fluctuation to surface flaws cannot be constructed due to separation of a marking method and a detection technology is solved.

The invention discloses an intelligent pressure regulation and control method and system for artery compression, and the method comprises the steps: collecting the arterial blood pressure waveform and vascular elasticity parameters of a puncture part of a patient in real time, and the multi-dimensional pressure data of a pressure sensor; constructing an initial pressure parameter set containing a pressure distribution gradient and a vascular response coefficient through a dynamic feature extraction algorithm; carrying out collaborative analysis on the initial pressure parameter set and blood flow characteristic parameters obtained through blood flow monitoring, and generating a regulation and control matrix containing an optimal compression force range and a time decay function; performing multi-target optimization processing on the regulation and control matrix through a parallel optimization algorithm to generate a real-time pressure control instruction set; based on the deviation value of the real-time pressure execution data fed back by the user interface and the blood flow monitoring data, a grading alarm mechanism is triggered, and a compression strategy is automatically corrected. By utilizing the embodiment of the invention, accurate regulation and control of the artery compression process can be realized, and the hemostatic effect is optimized and the medical quality is improved on the premise of ensuring the safety of a patient.

The invention relates to the technical field of injection molding production process monitoring, and discloses an injection molding production monitoring method, device and system.The injection molding production monitoring method comprises the steps that multi-source sensing data is collected, and pressure time sequence data and material spectrum data in the injection molding process are collected; extracting pressure waveform features to obtain a complete pressure waveform feature set; performing material characteristic analysis, and forming a material characteristic fingerprint in combination with the pressure waveform characteristics and the spectral data; material batch similarity calculation: constructing a material batch fingerprint database, and calculating the similarity between the new batch of materials and the historical batch of materials; process parameter optimization: continuously improving the accuracy of parameter optimization through multi-objective tradeoff optimization and parameter verification and iterative optimization; quality problem root causes are analyzed, and material problems and process parameter problems are accurately distinguished; through fusion of pressure waveform analysis and a material characteristic monitoring technology, comprehensive monitoring and intelligent regulation and control of an injection molding production process are realized.

The invention discloses a solid waste-based zinc chloride preparation process control method and system, and relates to the technical field of zinc chloride preparation, and the method comprises the following steps: obtaining a unified time base line, establishing a bubble phase reference field, collecting a sound-induced echo sequence, a micro-pressure waveform sequence and a light scattering sequence of a reaction liquid under the bubble phase reference field, and calculating the solid waste-based zinc chloride preparation process. Fusing to generate a bubble density space-time matrix; and performing reversible time-frequency rearrangement based on the bubble density space-time matrix, decomposing to obtain different frequency band distributions, extracting a narrow-band resident bubble group, calculating critical volume distribution and collapse precursor indexes, and constructing a dynamic risk fingerprint database. According to the method, a unified time base line and a bubble phase reference field are constructed, the bubble state is perceived in real time, collapse forebodes are recognized, a dynamic risk fingerprint database is established, directional intervention and reverse energy channel collapse nucleus extinguishing are achieved in combination with an energy aggregation node, finally closed-loop regulation is constructed through calibration write-back, the safety and stability of zinc chloride preparation are improved, and the method is suitable for large-scale popularization and application. And efficient utilization and clean production of solid waste are promoted.

The invention discloses an artificial heart valve near-physiological pulsation fluid external evaluation device and method, and relates to the technical field of heart valve testing.The artificial heart valve near-physiological pulsation fluid external evaluation device comprises a supporting frame, a driving unit, a tested valve installation unit and an artery and peripheral loop unit, the driving unit provides power for liquid flowing, and the tested valve installation unit is used for fixing an artificial heart valve; and a liquid volume assembly and a resistance assembly of the artery and peripheral loop unit can simulate the compliance and resistance of aorta blood vessels and peripheral artery blood vessels, so that the pressure waveform simulation of the systemic circulation loop is more accurate. On the basis of the air cavity, the elastic corrugated pipes with different frequency responses are arranged, the compliance and rebound resilience of the aorta are simulated, a device for rapidly replacing the tested valve is designed, and the mechanical property of the simulated human body aorta is adjusted by adjusting the parameters such as the output frequency and the vibration amplitude of the driving unit; real pressure and flow waveforms under different physiological / pathological conditions are simulated, and a more accurate and convenient detection environment is realized.

The invention relates to the technical field of bag type dust removal, in particular to a supersonic speed injection pulse injection pressure control method and system, which are used for evaluating the effectiveness of single ash removal operation and optimizing the subsequent injection pressure, and the method comprises the following steps: when at least one injection unit of a bag type dust removal system executes injection operation, the injection pressure of at least one injection unit of the bag type dust removal system is controlled; a pressure monitoring device arranged on a blowing gas path of the blowing unit is used for collecting a pressure signal in the blowing gas path to obtain pressure waveform data, and the pressure waveform data represents the pressure change at the moment of blowing; extracting at least one preset dynamic characteristic parameter from the pressure waveform data, wherein the dynamic characteristic parameter reflects the blowing airflow state or the air permeability change of the filter bag; the problems that in the prior art, dust removal control is extensive, and fine evaluation and adjustment cannot be achieved are solved by collecting a pressure signal of a blowing gas path, extracting dynamic characteristic parameters, evaluating the effectiveness grade of dust removal, adjusting the blowing pressure accordingly and updating the mapping relation online at the same time.

The invention discloses a pressure adjusting method and system for a pressure air gun for drying, and relates to the technical field of pressure air gun adjusting.The method comprises the steps that pressure distribution data and drying effect parameters of the surface of a dried object are collected in real time; the drying effect parameters are input into a reinforcement learning and quantum annealing collaborative decision model, a dynamic pressure adjusting strategy is generated, and the dynamic pressure adjusting strategy comprises control parameters of a pressure value, a waveform frequency and a nozzle direction; an air gun is controlled to output a target pressure waveform according to the dynamic pressure adjusting strategy, the target pressure waveform is generated based on the 3D geometrical characteristics of the drying object, and the impedance of an internal flow channel of the air gun is adjusted in real time through a magnetorheological fluid strategy; in the drying process, three-section mode switching is triggered according to the real-time water content and surface roughness data, chaos frequency modulation pulse waves are output in the initial stage to peel off water, fractal diffusion waves are switched in the middle stage to achieve uniform coverage, and nanometer resonance waves are adopted in the final stage to complete drying.

The invention relates to the technical field of pressure monitoring, in particular to an air pressure dynamic monitoring method and system for a pipeline water plugging airbag, and the method comprises the following steps: sampling an original pressure waveform in the airbag, extracting a discrete pressure sequence, determining an effective oscillation event, and extracting oscillation characteristic parameters, including oscillation dominant frequency and envelope attenuation slope, based on the effective oscillation event; calculating an equivalent leakage aperture based on the oscillation dominant frequency and the envelope attenuation slope, inputting the equivalent leakage aperture into a deformation state mapping table, and outputting a local deformation level of the airbag; and when the local deformation grade of the air bag exceeds the middle-high grade, a wrinkle eliminating mode is started, and a directional enhanced plugging instruction is triggered. According to the method, the equivalent leakage prediction formula jointly constructed based on the oscillation dominant frequency normalization inverse square term and the envelope attenuation rate term is introduced, the material correlation coefficient is obtained through fluid-structure coupling simulation and least square fitting, and the leakage trend from slight wrinkling to serious tearing can be continuously represented.

The invention relates to the technical field of medical monitoring and assistance, in particular to a sensor-based intelligent monitoring system for obstetrical and gynecological operations, which comprises a multi-source sensing module, a feature fusion module, a mode recognition module, a collaborative early warning module and a decision output module, wherein the multi-source sensing module is used for outputting an instrument movement track, a uterine cavity pressure waveform, a fetal electrocardiosignal and a surgical field video stream; the feature fusion module is used for generating a multi-dimensional feature matrix; the mode recognition module is used for outputting an instrument risk label and a fetus risk level; the collaborative early warning module is used for generating a multi-level early warning instruction containing the coordinates of the risk part; and the decision output module is used for forming a dynamically updated safe operation boundary diagram and displaying the safe operation boundary diagram on the surgical field video stream in an overlapping manner. According to the invention, through a multi-source sensing and collaborative early warning mechanism, synchronous monitoring and dynamic risk prompting of operation behaviors and physiological states in the obstetrics and gynecology surgery are realized, and the safety management and control capability in the surgery is improved.

The invention relates to the field of precision machining detection, and discloses a hydraulic shaft sleeve machining detection system and detection device which comprises a pneumatic servo control module, a signal collecting and processing module and a thermal inversion calculation module. The pneumatic servo control module drives the overturning air cylinder to apply a composite pressure waveform containing a static reference and a periodic flutter component to the hydraulic sleeve; the signal acquisition and processing module performs frequency domain analysis on a displacement signal detected by the displacement sensor and separates average displacement and displacement amplitude; the thermal inversion calculation module calculates real-time dynamic stiffness according to the displacement amplitude, a material stiffness thermal softening model is used for reversely deducing a temperature rise value, thermal expansion and elastic deformation errors are stripped through multi-dimensional error decoupling operation, and real height data under the standard temperature and without external force are calculated. According to the invention, active excitation and frequency domain analysis technologies are utilized, so that the interference of an oil film and thermal deformation is effectively solved, and high-precision online detection and processing compensation of a thermal-state workpiece are realized.

The invention relates to the technical field of lithium battery manufacturing, and discloses a quality control method for an automatic stamping process of a lithium battery shell. According to the method, a multi-dimensional monitoring system is constructed by collecting a stamping pressure time sequence waveform, plate thickness distribution data and a mold vibration frequency spectrum signal in real time. Analyzing the pressure waveform deviation by using a dynamic time warping algorithm, and forming a coupling characteristic matrix by combining the thickness data; wavelet packet decomposition is adopted to process the vibration signal, a frequency band energy distribution spectrum is generated, and a mold structure stability coefficient is calculated. And fusing the characteristics and the coefficients to generate a quality evaluation index, and dynamically adjusting the control parameters of the stamping equipment according to the quality evaluation index to realize closed-loop control. According to the method, the limitation of single parameter monitoring is broken through, dynamic changes in the stamping process are accurately captured through multi-source information coupling analysis, factors such as plate differences and die state changes can be responded in real time, and the comprehensiveness and timeliness of quality control are improved.

The invention discloses a water pump flow control method and system, and the method comprises the steps: S1, a control system is initialized, a global impedance set is obtained through the control system, and the global impedance set comprises but is not limited to the impedance coefficients Zi, the initial pressure Qs and the descent slope K of all branches; s2, based on the global impedance set, the pulse switch time sequences of all branches are coordinated through a pulse synchronous constant-current control method, so that the whole pipe network system operates synchronously at constant current; and S3, if the pulse unit at the inlet end of any branch detects that the pressure waveform is continuously abnormal, the fault diagnosis module sends a fault alarm and a diagnosis result to the main controller, the main controller isolates the abnormal branch, and the step S2 is executed again. By means of the control method and system, it can be guaranteed that the variable-frequency water pump is started in a peak shifting mode, huge pressure impact caused by simultaneous starting and stopping of all valves is avoided, the variable-frequency water pump always works near a resonance point, output is constant, flow is stable, the system operates in a resonance state, and irrigation is more stable.

The invention relates to the technical field of blood transfusion pipeline detection, and discloses a blood transfusion pipeline jitter detection method based on an intelligent sensor. According to the method, an initial control instruction generation layer receives an operation instruction, and a natural language analysis unit identifies a pipeline number and a preset jitter threshold parameter; the multi-mode signal detection layer collects pressure waveform signals and three-dimensional motion track signals of a blood transfusion pipeline in real time, and establishes a feature matching database to store reference signal feature combinations corresponding to different pipeline models. The dynamic mapping layer combines the real-time detection signal features with the reference signal features to perform similarity matching; the double-domain interpolation calculation layer generates an anti-jitter control parameter according to a matching result; the anti-phase jitter elimination execution layer outputs a phase compensation instruction according to the anti-jitter control parameters; the parameter optimization layer updates a feature matching database according to the historical jitter residual volume data; and the abnormal decision-making layer judges an unrestrained jitter state and triggers an alarm protocol, and also implements a full-period updating mechanism to refresh a reference signal feature combination.

The invention discloses a sprayed concrete construction method for 3D printing of a building structure, and relates to the technical field of building engineering, and the method comprises the following steps: S100, based on the operation cycle of a nozzle driving system, collecting pressure waveform data in a concrete spraying process, extracting a dominant frequency and amplitude change sequence, and generating a pressure disturbance feature vector with a time label; and S200, according to the pressure disturbance feature vector, the lowest-order inherent frequency and the response sensitive bandwidth of a current printing unit are dynamically modeled in combination with the printing track layer height, the concrete age data and the forming geometric parameters, and a structure dynamic response baseline is constructed. According to the method, identification and control of injection disturbance and structure inherent frequency resonance risks are achieved, a feedforward regulation and control mechanism and a closed loop feedback mechanism are fused, the instability problem caused by structure resonance is avoided, the injection parameter adjustment precision and the path execution stability are improved, and the forming precision, the structure safety and the construction continuity in the three-dimensional printing process are guaranteed.

The invention provides an automobile part injection molding parameter control method and device, equipment and a medium. The method comprises the steps that feature extraction is conducted on nozzle pressure waveform data and a screw position sequence which are synchronously collected to generate a process feature set, V / P switching point calibration is conducted on the process feature set to generate optimized V / P switching point parameters, and injection molding speed optimization is conducted on the process feature set to generate optimized injection molding speed parameters. According to the optimized V / P switching point parameter and the optimized injection molding speed parameter, an injection molding simulation test is carried out to set an optimized dwell pressure parameter, and according to the optimized dwell pressure parameter, the optimized injection molding speed parameter and the optimized V / P switching point parameter, fluid-solid coupling simulation is carried out to generate an optimized mold clamping force parameter. And generating a production control adjustment instruction according to the nozzle pressure waveform data in the production process. By calibrating the V / P switching and injection speed and optimizing the pressure maintaining and mold clamping force, self-adaptive closed-loop optimization of process parameters is achieved, and the stability of the product size and appearance is guaranteed.

The invention relates to the technical field of blast furnace clay gun control, and discloses a blast furnace stokehole clay gun control system. The system comprises a data acquisition module, a state feature extraction module, a multi-dimensional difference analysis module, a risk area positioning module and a self-adaptive control strategy generation module. The data acquisition module acquires a clay gun pressure waveform, an iron notch temperature sequence and a stemming flow pulse in real time; the state feature extraction module extracts operation state features based on the operation data; the multi-dimensional difference analysis module performs multi-dimensional difference analysis on the state characteristics and a preset theoretical state to generate a state difference coefficient matrix; a risk area positioning module positions an operation risk area based on the matrix; and the adaptive control strategy generation module generates an adaptive control strategy according to the risk area. The system realizes comprehensive acquisition of multiple parameters of mud gun operation, accurate state analysis, accurate risk positioning and self-adaptive control, improves the mud gun operation stability, ensures continuous operation in front of a blast furnace, and adapts to modern blast furnace production requirements.

The invention relates to the technical field of medical informatization, in particular to an anorectal pressure waveform and viscoelasticity multi-parameter testing system and method.The anorectal pressure waveform and viscoelasticity multi-parameter testing system comprises a data acquisition platform, a data processing platform and a display terminal; comprehensive measurement and analysis of pressure in the rectum, viscoelasticity of the rectum wall, rectum compliance and nerve reflex function of the rectum wall are realized, the data processing platform adopts a multi-scale pressure waveform analysis method, the pressure waveform is decomposed into a microscale, a mesoscale and a macroscale, and time domain features, frequency domain features and nonlinear features are extracted; a viscoelastic equation is constructed through a viscoelastic parameter calculation module, the boundary value problem is solved, and viscosity coefficient and elastic coefficient parameters are optimized; applying a manifold learning method to carry out quantitative evaluation on the nerve reflex function; and a defecation function comprehensive analysis model and a constipation diagnosis monitoring model are further constructed. According to the method, the diagnosis accuracy of the functional anorectal diseases is remarkably improved.

The invention relates to the technical field of circuit breaker monitoring data analysis, and relates to a real-time monitoring system for a high-voltage circuit breaker. According to the invention, temperature and humidity data and partial discharge pulse signals of the high-voltage circuit breaker insulating sleeve are monitored in real time through the distributed sensors, surface dew point temperature distribution and partial discharge characteristics are analyzed through the data processing module, and a condensation high-risk area is accurately positioned. And an insulating medium performance attenuation index is generated based on an energy entropy change curve of the partial discharge pulse signal, and the fault probability of the high-voltage circuit breaker is compared and output in combination with a historical monitoring database, so that early warning of the fault of the high-voltage circuit breaker is realized, and a powerful guarantee is provided for stable operation of a power system. When the fault probability exceeds a threshold value, the system executes circuit breaking control, and the contact state is deduced by collecting an arcing spectrum and an arc extinguish chamber pressure waveform, so that accurate monitoring, fault diagnosis and control deduction of the high-voltage circuit breaker are realized, and the reliability and the safety of the high-voltage circuit breaker are improved.

The invention relates to the technical field of fuel gas safety control, and particularly discloses an intelligent fuel gas self-closing valve for real-time operation state monitoring, the intelligent fuel gas self-closing valve comprises a state monitoring system, the state monitoring system comprises a gas pressure waveform of a fuel gas channel in a gas supply recovery stage, a rising stage of the gas pressure waveform is subjected to parameter gradient analysis, and the rising stage of the gas pressure waveform is subjected to parameter gradient analysis; establishing an impact characteristic matrix; constructing a diaphragm-airflow coupling dynamic model, and judging whether the diaphragm has a water hammer impact risk or not; if yes, the minimum diaphragm effective impact force is extracted, and a real-time damping opening degree instruction is output; controlling a multi-stage flow channel based on the damping opening instruction, carrying out fluid kinetic energy vortex dissipation analysis on the flow channel, and judging whether a deformation analysis signal is triggered or not; and if triggering, performing material deformation analysis on the diaphragm to obtain a theoretical deviation of the diaphragm, positioning a dissipation flow weak link of the flow channel, and establishing a dynamic correction model for the dissipation weak link to adjust the distribution of the flow passage area of the flow channel.

The cyclical suction system generates an intermittent cyclically spaced cyclical suction pressure waveform of a vacuum pressure below atmospheric pressure and a positive pressure above the vacuum pressure. The system includes a flexible inlet tubing connected in fluid communication between a vacuum pump and a suction conduit. A positive pressure pulse generator mechanism intermittently cyclically applies an external force that compresses the segments of the flexible inlet tubing, thereby reducing the internal volume and displacing fluid that can be collected therein, thereby generating positive pressure pulses. Upon withdrawal of the applied external force, the flexible inlet tubing is configured to be able to be forced to return to an uncompressed state, thereby increasing the internal volume while reducing pressure therein until the vacuum pressure ultimately regenerates, thereby minimizing return time and maximizing cycle frequency.

This invention relates to the field of infusion rate control technology, specifically to an adaptive adjustment method for intraoperative anesthetic drug infusion rate based on reinforcement learning. The method includes the following steps: monitoring tubing pressure waveforms to extract hysteresis response features; constructing a multidimensional fluid environment state vector by splicing anesthesia depth errors; inputting the vector into a neural network to map and output a composite command containing a base flow rate and resistance torque; establishing a corrected drive signal by superimposing acceleration pulses based on tubing stiffness and compensating for flow leakage; and completing closed-loop verification based on pressure change rate deviation. In this invention, by analyzing the establishment and attenuation features of the pressure waveform to reconstruct the hysteresis response state of the physical environment, tubing compliance is incorporated into the network input space and mapped to generate a composite command containing a base flow rate and resistance torque. This eliminates drug delivery delays caused by tubing expansion and energy absorption, ensuring that motor actions are instantly converted into effective drug injection, thereby improving the real-time response speed and drug delivery control accuracy of anesthesia depth regulation.

Systems and methods for non-contact arterial blood pressure waveform monitoring based on machine learning are provided. The method includes transmitting a millimeter wave signal waveform with a millimeter wave radar and receiving a reflected signal from the chest of a subject; extracting complex value millimeter wave IQ data from the received reflection signal; guiding the complex valued millimeter wave IQ data with a beamforming-based data enhancement module to form a target signal beam; and estimating an arterial blood pressure waveform from the target signal beam using a millimeter wave-arterial blood pressure waveform converter. During a training phase, the beamforming-based data enhancement module is configured to generate millimeter wave signal beam data from different angles for training the millimeter wave-arterial blood pressure waveform transducer; and a cross-modal knowledge migration module is utilized to generate a teacher model so as to jointly supervise training of the millimeter wave-arterial blood pressure waveform converter.

The cyclical suction system produces an associated cyclical pressurization waveform of intermittent cyclical intervals of a vacuum pressure below atmospheric pressure and a positive pressure above the vacuum pressure. The system includes a vacuum pump that generates a vacuum pressure, a conduit connected in fluid communication to the vacuum pump, and a suction conduit connected in fluid communication to the conduit. Associated with the conduit is a positive pressure pulse generator mechanism that controls the vacuum pressure generated by the vacuum pump through the conduit via the vacuum pressure gating device and cyclically generates positive pressure pulses intermittently.

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 invention discloses an engine ventilation process simulation calculation method based on three-dimensional iteration calibration, and belongs to the technical field of engine simulation data processing. The invention discloses an engine ventilation process simulation calculation method based on three-dimensional iteration calibration. The method comprises the steps that a one-dimensional simulation model and a three-dimensional simulation model of an intake and exhaust pipe system of an engine are constructed; same parabolic pressure wave boundary conditions are applied to air ports of the one-dimensional simulation model and the three-dimensional simulation model; calibrating the one-dimensional simulation model by iteratively adjusting structural parameters of key pipe sections of the one-dimensional simulation model by taking pressure waveforms of air cavities and header pipe nodes in the three-dimensional simulation model as references; and applying the calibrated one-dimensional simulation model to the one-dimensional model of the whole engine. By adopting the engine ventilation process simulation calculation method based on the three-dimensional iteration calibration, the problem that the whole machine simulation design efficiency is low due to the fact that the coupling relation is complex and the calculation time is long in the existing engine three-dimensional ventilation process can be solved.

The invention provides a midwife remote monitoring system and method, and the system comprises a data collection module which collects uterine contraction pressure waveform and fetal heart sound signals through a flexible sensing bellyband, obtains blood oxygen saturation and pulse wave conduction time signals through a physical sign monitoring ring, analyzes urine biochemical indexes through an intelligent analysis closestool, and a data processing module. The denoising module is used for denoising uterine contraction and fetal heart signals by adopting a wavelet threshold denoising algorithm, aligning uterine contraction waveforms and calculating a uterine contraction interval time sequence based on an improved dynamic time warping algorithm, and fusing multi-source data through an LSTM neural network to generate a physical sign parameter predicted value; a comprehensive risk score of a uterine contraction interval, a physical sign predicted value and a biochemical index is calculated based on a weighted evidence theory algorithm, a personalized physiological baseline model is constructed by utilizing Gaussian process regression, and a three-level early warning mechanism is realized to trigger emergency response step by step. According to the invention, real-time monitoring of the pregnant woman at home is realized through multi-modal sensing and an intelligent algorithm, and the detection rate of abnormal events is improved.

Systems or apparatus may be configured with method(s) for hyperarousal disorder such as for determining settings that control respiratory therapy for slowing a patient's breathing. They may be configured to determine an interim target breathing rate less than a current spontaneous rate. They may be configured to derive target inspiratory time and expiratory times based on the interim target breathing rate. They may be configured to compute, with first function(s), a parameter set for generating a variable treatment pressure waveform based on target inspiratory / expiratory times. They may be configured to determine pressure settings by generating the waveform with the computed parameter set and second function(s). They may be configured to reduce the interim target breathing rate in response to a subsequent spontaneous breathing rate slowing down toward the interim target rate. They may be configured to generate feedback such as graphics / sound to provide information to promote slowing of breathing.

The application discloses a kind of based on waveform tracking and active reverse phase air supplementing volumetric pump outlet pulsation suppression system and control method thereof, it is related to pulsation suppression technical field, for solving the problem that volumetric pump outlet pressure pulsation causes fluid delivery instability and affects system operating state during operation, by the real-time acquisition and phase analysis of the outlet pressure waveform of the volumetric pump to be measured, pressure fluctuation trend is constructed, based on phase reverse matching generation air supplementing regulation instruction realizes the reverse phase synchronization of air chamber regulation action and pressure change, and dynamic evaluation and compensation correction are carried out to gas-liquid coupling characteristics in combination with liquid level response, while introducing hysteresis control mechanism to closed-loop judge regulation termination and pulsation return state, to realize the adaptive suppression of pressure pulsation under different operating rhythm, improve outlet pressure stability, reduce pulsation residual amplitude, enhance system dynamic response consistency and operating reliability.

Devices, systems, and methods for visually depicting a vessel and evaluating treatment options are disclosed. The methods can include obtaining pressure measurements from first and second instruments positioned within a vessel of a patient while the second instrument is moved longitudinally through the vessel from a first position to a second position and the first instrument remains stationary within the vessel; and outputting a visual representation of the pressure measurements obtained by the first and second instruments on a display, the output visual representation including a graphical display of a pressure ratio of the obtained pressure measurements and at least a portion of a pressure waveform of the obtained pressure measurements identifying a diagnostic period utilized in calculating the pressure ratio.

The invention discloses a diaphragm metering pump pulsating pressure monitoring device based on piezoelectric energy harvesting self power supply. The diaphragm metering pump pulsating pressure monitoring device comprises a sealing shell, a pressure cavity formed in the sealing shell, a micro pressure sensor, piezoelectric energy harvesting units distributed in the circumferential direction and a circuit module. The piezoelectric energy capture unit converts pressure pulsation generated by the metering pump in the cavity into electric energy, and the electric energy is rectified and stored through the energy management circuit. When the energy storage voltage reaches a threshold value, the micro-control unit is awakened, the pressure sensor is controlled to collect pulsating pressure data and send the pulsating pressure data through the wireless communication module, and then the system is dormant again. Self power supply is realized by utilizing measured pressure pulsation, and an external power supply or a battery is not needed; an undamped pressure tapping structure is adopted to ensure high fidelity of pressure waveforms; the highly integrated design is convenient for on-site rapid installation; through an intermittent acquisition and centralized transmission mode, reliable monitoring is realized under low power consumption, and the method is particularly suitable for long-term maintenance-free state monitoring and fault diagnosis of the diaphragm metering pump.