9 results about "Pulse characteristics" patented technology

This application discloses a diabetes detection system based on multi-sensor pulse characteristics, relating to the field of medical signal processing. The system includes: a pulse wave data acquisition module that uses a pressure sensor and a photoelectric sensor to acquire the user's wrist pressure pulse wave and fingertip photoplethysmography (PPG) pulse wave; a preprocessing module to obtain usable single-cycle pulse wave data; a signal fusion module that converts the pressure pulse wave signal and PPG pulse wave signal into two-dimensional image signals through continuous wavelet transform to retain time-frequency domain information, and processes the two two-dimensional images using non-subsampled shear wave transform and a pulse-coupled neural network; and a feature extraction and calculation module that extracts pulse wave image features through a ResNet network and finally classifies them using a random forest. This detection system improves the fusion effect without increasing computational load, achieving non-invasive diabetes detection using multiple sensors and improving detection accuracy.

This invention provides a laser parameter synchronous measurement system based on an attenuation fixture, including a beam collimator, a first reflecting mirror, a second reflecting mirror, a first beam splitter prism, a second beam splitter prism, a power meter, and an M... 2 The system includes a test instrument, a spectrum analyzer, a pulse width measurement module, and a spectrum analyzer; after the system is powered on and the laser under test outputs laser light, the power meter and M are simultaneously triggered. 2 The tester, spectrometer, pulse width measurement module, and spectrum analyzer are used to detect the laser parameters output by the laser under test. This invention can simultaneously measure parameters such as laser power, beam quality, and pulse characteristics (repetition frequency, pulse width), avoiding errors introduced by step-by-step measurements. Through synchronous triggering and data acquisition, it ensures that all parameters are measured under the same time reference, making it particularly suitable for dynamic laser systems or pulsed laser analysis. The integrated software can automatically integrate key parameters (such as peak power, average power, pulse width spectrum, etc.) and generate a laser parameter test report.

A system and method for pulsed electromagnetic fields (PEMF) tissue engineering enhances musculoskeletal tissue stimulation. A tissue engineering device may include both low and high pulse frequency signal generation components that may alternatively drive one or more coils to generate PEMFs. These PEMFs may be applied to bone tissue, tendons, ligaments, and / or cartilage. A prescribed treatment regimen using the tissue engineering device may include a first period of time where a first pulse frequency is used in treatment that supports tissue proliferation followed by a second period of time where a second pulse frequency (less than the first pulse frequency) is used in treatment that supports tissue differentiation. A treatment regimen may also include, with the frequency characteristic, applying a slew rate to the pulse characteristics that is on the order of around 30 to 100 Tesla per second to drive tissue differentiation in a targeted manner.

The application provides a detection data acquisition method based on diabetes pulse characteristics, which extracts multiple pulse signal characteristics, realizes multiple pulse characteristic fusion representation according to a fusion strategy, and the fusion representation is the finally obtained pulse diagnosis data. The application extracts pulse characteristics from three different perspectives, obtains a fusion matrix through complementary learning, and realizes the fusion representation of the pulse signal by relying on the fusion matrix. Thus, the application solves the limitation of single pulse characteristic in pulse representation, sets independent projection matrices for various characteristics, projects each characteristic to a public subspace, fully utilizes the complementary information between multiple characteristics, and retains the difference. The representation information in the pulse signal is effectively retained. Meanwhile, the application also provides a detection data acquisition system based on diabetes pulse characteristics.

This invention discloses a method for multi-target detection and localization of QD laser alarms based on spatial spectrum estimation. Specifically, it involves: establishing a precise mapping model between the output signal of a four-quadrant detector (QD) and the laser incident angle, including the signal superposition effect when multiple light sources illuminate simultaneously; based on the mapping model, employing a spatial spectrum estimation algorithm tailored to the limited spatial sampling characteristics of the QD detector to separate and estimate multiple simultaneously existing or temporally overlapping laser incident directions; and combining the pulse characteristics of the laser signal, fusing the temporal information with the spatial spectrum estimation results to achieve multi-target detection and localization. This invention overcomes the application limitations of traditional single-target localization models in multi-light source scenarios, providing an accurate input foundation for spatial spectrum estimation; and solves the technical bottleneck of traditional spatial spectrum estimation relying on multiple array elements, achieving direction separation and localization of simultaneously or temporally overlapping laser sources.

This invention discloses a testing device and method for the high-frequency pulse characteristics and flow self-calibration of a hydrogen injection valve. The method includes the following steps: setting initial parameters and a target flow rate for the high-frequency pulse of the hydrogen injection valve, and constructing a nonlinear mapping model between the initial pulse duty cycle and the hydrogen output flow rate; performing a multi-gradient pulse frequency injection test; acquiring dynamic hydrogen flow rate data in real time, and simultaneously acquiring flow data during the pulse injection process; calculating the deviation between the actual flow rate and the target flow rate, and constructing a dynamic deviation evaluation model based on the stoichiometric ratio of the hydrogen fuel cell; iteratively correcting the pulse width parameter based on the deviation value, and applying a fuzzy PID control algorithm to achieve adaptive parameter optimization; outputting a calibration parameter set that meets the accuracy threshold, and generating a final parameter set containing a frequency-pulse width two-dimensional calibration matrix. This invention effectively solves the problems of flow deviation and response lag that easily occur in the hydrogen supply of the hydrogen injection valve under high-frequency pulse conditions in traditional hydrogen fuel cell systems.

This invention discloses a method for determining the local cavitation state of a ship based on the pulse characteristics of acoustic signals, relating to the field of cavitation state judgment. The method involves configuring a predetermined local area of ​​the ship as the measurement object, collecting acoustic signals from the flow field where the measurement object is located within a predetermined time period to obtain a set of original acoustic signals containing several original acoustic signals; generating several pulse peak signals based on the original acoustic signal set; filtering any pulse peak signal based on cavitation characteristics to obtain filtered pulse peak signals; generating a set of filtered pulse peak signals based on the filtered pulse peak signals, and generating a pulse number density distribution based on the filtered pulse peak signal set; generating a cloud map of the combined pulse signal number density distribution based on the filtered pulse peak signal set and the pulse number density distribution, and determining the cavitation state of the measurement object based on the cloud map. This method improves the accuracy and effectiveness of cavitation initiation judgment.

This application provides a real-time processing system for edge nodes of fluorite geological data, relating to the fields of intelligent power system inspection and non-contact fault diagnosis. First, it performs time alignment on heterogeneous data streams such as triaxial vibration acceleration, X-ray fluorescence pulse counting, and near-infrared spectral reflectance. Then, it adaptively adjusts the filtering intensity using the power spectral density of the vibration components, suppressing mechanical noise while preserving the narrow pulse characteristics of grade abrupt changes, thus solving the problems of detail loss and signal distortion caused by the overlap of noise bands and effective signals. Based on the energy spectrum characteristics of calcium and fluorine elements in fluorite, it performs significant weighted extraction, compressing the high-dimensional signal into a compact feature vector. Real-time grade inference is then completed through an edge-side quantization neural network. Finally, the compression ratio is dynamically adjusted according to the fluctuation amplitude of grade prediction: increasing the compression ratio to save bandwidth when the grade is stable, and decreasing the compression ratio to preserve key information when the grade changes abruptly, achieving an adaptive balance between transmission load and data fidelity.

The application discloses an inverter narrow pulse compensation method, system, device and storage medium, relates to the technical field of power electronics and inverter control, and comprises the following steps: collecting narrow pulse multi-source data through an acquisition unit, inputting the narrow pulse multi-source data into a fitting unit to output a lock pulse characteristic set, inputting the lock pulse characteristic set into a calculation unit to output the number and distribution mode of compensation pulses and save them to a compensation unit, obtaining the lock pulse characteristic set through adaptive polynomial fitting of a lock narrow pulse envelope, obtaining the number of compensation pulses through pulse width and a preset threshold, obtaining the output distribution mode through an envelope and least squares, and superimposing and executing the number and distribution mode of compensation pulses saved in the compensation unit at the same position in the next period. The method has better effects in the integrity of lock pulse representation, the calculability of compensation number and distribution mode, and the cycle consistency of compensation execution.