32 results about "Conduction time" patented technology

A high-safety transistor testing system and method with nanosecond-level delay is disclosed, belonging to the field of transistor testing. It enables transistor characteristic testing under arbitrary drain voltage stress values, drain voltage stress durations, and load currents based on nanosecond-level measurement delays, while ensuring the safety of the testing system and personnel. The circuit includes: a switch. S 1, S 2, S 3. Resistance R A , R C Schottky diode D 1, D 2. Power Inductor L ,power supply V DD Control switch S 1. The conduction time can control the high voltage that the subsequent circuit can withstand. V DD Duration; control switch S 2. On-time can control the power inductor L Current value at the end of charging; test switch S From the voltage and current of 3, we can determine the switch. S 3. Switching transient characteristics, on-resistance characteristics, etc. Simulation and experiments show that the measurement delay of switching to the test state after the drain voltage stress ends is on the order of nanoseconds, and there is no situation of "accidental opening of series switch leading to large current conduction", so the circuit safety is higher.

The application relates to a critical conduction mode control method of a totem-pole PFC converter, which utilizes energy equivalence to determine the resonance process of inductor current at switching commutation, carries out totem-pole Boost inductor current value estimation, and on this basis, utilizes a current zero-crossing point prediction algorithm to calculate the turn-on and turn-off time to generate corresponding active tube-synchronous rectifier tube commutation dead time T d,f , synchronous rectification conduction time T SR , rectifier tube-active tube commutation dead time T d,r ; the PWM drive signals of high-speed switching tubes Q1 and Q2 are generated by T on , T d,f , T SR , T d,r ; the power frequency drive signals of low-speed switching tubes Q3 and Q4 are generated by comparing the input alternating voltage v ac with a hysteresis comparison loop and 0. The method can effectively get rid of the dependence on a current zero-crossing detection circuit and a current sensor, reduces the cost and improves the system stability.

Implantable medical device for stimulating a heart includes a proximal electrode pole, and first and second distal electrode poles. During operation, the device performs: a) detecting an intrinsic atrial contraction of the heart; b) detecting an intrinsic ventricular contraction of the heart; c) determining a first intrinsic atrioventricular conduction time between i) the intrinsic atrial contraction or the stimulation of the atrium and ii) the intrinsic ventricular contraction detected with the first distal electrode pole; and determining a second intrinsic atrioventricular conduction time between i) the intrinsic atrial contraction or the stimulation of the atrium and iii) the intrinsic ventricular contraction detected with the second distal electrode pole; d) setting a stimulated atrioventricular conduction time for stimulating the ventricle of the heart with the first and / or second distal electrode poles, the stimulated atrioventricular conduction time being shorter than the shorter of the first and second intrinsic atrioventricular conduction times.

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 application belongs to the field of heart disease treatment and natural medicine compound, and provides application of bufalin or a pharmaceutically acceptable salt thereof in preparation of a medicine for treating reperfusion arrhythmia. Experiments in vitro and in vivo prove that bufalin inhibits L-type calcium channels in a concentration-dependent manner, reduces extracellular calcium ion inflow, and further reduces the incidence of ventricular arrhythmia, arrhythmia, reduces ventricular conduction time, increases left ventricular conduction velocity, and reduces ventricular conduction dispersion; and provides a new drug selection for the treatment of reperfusion arrhythmia.

The invention discloses a cycle-by-cycle current pre-estimation protection method and a cycle-by-cycle current pre-estimation protection system for a multiphase TLVR circuit, and after pre-storage of current change rates under different working conditions is completed, the cycle-by-cycle current protection system orderly executes the following steps under unified scheduling of a state machine: each phase of inductive current is sampled by an ADC and then sent to an inductive current real-time calculation module; meanwhile, a PWM signal is received; when a certain phase of PWM signal is at a high level, the inductive current real-time calculation module performs cycle-by-cycle current calculation by taking a digital current value obtained by sampling as an initial value, and outputs an estimated current value; the estimated current value is compared with a preset CBC protection threshold value, and then the conduction time of the phase is adjusted; the current increment is calculated in each clock period, the maximum current value which can be reached in the PWM conduction period is predicted, and protection is carried out in time. According to the invention, the problem of local current peak caused by the coupling effect in the TLVR circuit can be effectively solved, and the influence of driving delay is eliminated.

A blood pressure prediction method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: synchronously collecting physiological signals, the physiological signals include electrocardiogram signals, pulse signals and heart sound signal; extracting features from the physiological signals to obtain signal features, the signal features include pre-ejection duration and pulse wave transit time; and inputting the signal features into a pre-trained blood pressure prediction model to cause the blood pressure prediction model to output a blood pressure prediction result.

The invention discloses an overcurrent protection method applied to a TLVR, and belongs to the technical field of switching power supplies. The method comprises the following steps of: modeling and predicting an inductive current rising process in a PWM (Pulse Width Modulation) conduction process by stages, calculating the maximum allowable conduction time when the inductive current in each stage reaches an overcurrent protection threshold value, and outputting a PWM cut-off signal before the threshold value is predicted to be reached, so that an overcurrent protection mechanism is accurately started in advance. According to the invention, the accuracy and response timeliness of overcurrent protection are improved, and current overshoot is effectively suppressed within a safe range; accurate compensation of the TLVR coupling effect is achieved, and the adaptive capacity and robustness of the system under complex working conditions are enhanced.

This invention discloses an intelligent physiotherapy control system and method based on multi-scenario, multi-element collaboration, relating to the field of physiotherapy technology. The method includes the following steps: performing short-time Fourier transforms on the driving waveform of the magnetotherapy module and the excitation waveform of the phototherapy module respectively, extracting the dominant frequency component, harmonic frequency band, and energy density parameters within each working cycle, and constructing a set of magnetic-optical dual-channel spectral feature vectors; based on the spectral feature vector set, calculating the relative frequency ratio and energy superposition ratio between the dominant frequency point of magnetotherapy and the dominant frequency point of phototherapy and their higher harmonics, obtaining a spectral coupling degree index. This invention achieves quantitative assessment of the risk intensity of magnetotherapy and phototherapy by constructing a joint resonance superposition degree, and dynamically adjusts the waveform timing based on this index. By delaying the rising edge and limiting the conduction time, it achieves peak-shifting control of energy output, effectively reducing instantaneous superposition density and improving physiotherapy safety and system adaptability.

The application discloses a brain-muscle function change coupling analysis method based on bidirectional delay compensation, which comprises the following steps: designing an experiment paradigm, collecting signals and pre-processing the signals; determining a bidirectional cortical muscle delay estimation algorithm based on a sliding window and transfer entropy TE, and quantifying the conduction time of the EEG->EMG outgoing path and the EMG->EEG incoming path of the cortical muscle of a test person; performing signal time alignment compensation, calculating the transfer entropy with delay compensation and the average delay compensation transfer entropy, and constructing a directional delay compensation directional cortical muscle connection CMC network based on the transfer entropy with delay compensation and the average delay compensation transfer entropy; extracting evaluation features, and performing brain-muscle function change coupling analysis based on the evaluation features; and the evaluation features are extracted based on the dimensions of the CMC coupling strength, the hemispheric lateralization index and the correlation of the delay-motor function behavior index score based on conduction delay, hemispheric division and task stage. The application also discloses a corresponding system, an electronic device and a computer readable storage medium.

This invention relates to the field of medical monitoring technology, specifically to an intelligent multi-parameter risk early warning system for critically ill patients. The system transforms ventricular amplitude and pulse pressure sequences within a preset sliding data window to determine relative amplitude and relative pulse pressure sequences; it then determines pulse pressure variability based on the pulse pressure difference sequence within the window; it determines a reference conduction time based on the electromechanical delay sequence within the window; it constructs a matching cost matrix based on the reference conduction time, relative amplitude, and relative pulse pressure sequences, and solves for the optimal matching relationship; it constructs an excitation-response data pair set based on the optimal matching relationship and determines a waveform difference index; it determines the response inversion ratio based on the set; and it performs graded screening based on pulse pressure variability, waveform difference index, and response inversion ratio to determine physiological status and output corresponding risk warnings, thereby significantly improving the ability to identify early cardiovascular abnormalities.

The invention relates to a multi-parameter fusion electrophysiology and hemodynamics real-time monitoring system, through cooperative work of a global synchronous clock generator and a timestamp-based re-alignment mechanism, time-space consistency of a multi-source heterogeneous signal is fundamentally ensured, the synchronous clock generator generates a unified time base signal, and the real-time monitoring of the multi-parameter fusion electrophysiology and hemodynamics is realized. According to the method, sampling actions of all front-end acquisition units are directly driven, an initial phase is locked from a source, a high-speed data preprocessing module prints an accurate timestamp on each data point, and dynamic caching and reordering are carried out through data buffering and alignment queues, so that tiny deviations caused by different transmission paths or processing delay differences of channels are eliminated, and the accuracy of data processing is improved. By means of a double guarantee mechanism of hardware synchronization and software fine calibration, originally dispersed and independent signal streams are integrated into a multi-parameter data stream with completely aligned time axes, accurate and reliable input is obtained, and therefore deep correlation information such as physiological conduction time and coupling strength between a heart beat event and blood vessel response is restored.

The invention discloses an electromagnetic pulse device output characteristic simulation method based on a gas discharge probability model. The method comprises the following steps: establishing an equivalent circuit model and a mechanical structure model of an electromagnetic pulse device; determining an initial electron generation source in the breakdown process of each switch in the electromagnetic pulse device, and calculating an initial electron generation rate and time-space distribution; establishing a breakdown statistical time delay probability distribution model based on a gas discharge probability distribution model; a statistical time delay random sampling link considering a breakdown statistical time delay probability distribution model is added into an equivalent circuit of a strong electromagnetic pulse environment simulation device, switch forming time delay is calculated according to an empirical formula, assignment of switch-on time of each switch is given, equivalent circuit simulation is completed, and voltage waveforms on a load are obtained. Therefore, the problem that simulation of output characteristics of an existing strong electromagnetic pulse environment simulation device is not fine enough is solved, and the randomness of the gas switch discharge process is considered in the method.

The application provides an LLC converter control device and method based on an extended harmonic impedance model. The proposed synchronous rectification method needs to calculate the sampling signals of output direct current voltage and current in a digital signal processor (DSP), and establishes an impedance model in a frequency domain by considering harmonics, so that the synchronous rectification conduction time is accurately calculated. The turn-on time of the synchronous rectification tube is consistent with the primary side switch tube device, and the turn-off time of the synchronous rectification tube is equal to the turn-on time plus the calculated synchronous rectification conduction time. The method not only minimizes the conduction time of the synchronous rectification body diode, has high calculation accuracy, and has high anti-interference on high switching frequency noise, and the proposed method greatly improves the efficiency of the LLC converter.

The invention provides a neural feedback and regulation type exoskeleton rehabilitation system and method and a storage medium, and the system comprises an intention detection module, a spinal cord electrical stimulation module and an exoskeleton module, the motion intention acquisition module is used for acquiring a bio-electricity signal of a subject and performing dynamic weight fusion and intention judgment based on biological conduction time delay compensation to determine whether the subject generates a motion intention or not; the exoskeleton module is used for responding to the motion intention generated by the subject and executing a target phase action in a gait cycle; wherein the gait cycle comprises a plurality of phase actions which are connected in sequence, and the target phase action is the phase action which needs to be executed by the exoskeleton module at present; and the spinal cord electrical stimulation module is used for performing electrical stimulation on a target neuron corresponding to the target phase action when the exoskeleton module executes the target phase action. According to the system, precise and efficient rehabilitation training can be achieved through closed-loop cooperation of intention detection, exoskeleton action execution and spinal cord electrical stimulation.

The invention provides a control method of a BUCK circuit, a power supply control circuit and electronic equipment. The control method of the BUCK circuit provided by the invention comprises the following steps: determining first conduction time of a rectifier tube; calculating the theoretical conduction time of the freewheeling tube in the first working mode based on the first conduction time; determining the working mode of the BUCK circuit based on the theoretical conduction time and the first conduction time; determining second conduction time of the follow current tube based on the working mode; and controlling the freewheeling tube based on the working mode and the second conduction time. According to the control method of the BUCK circuit, the turn-on time of the follow current tube is directly calculated, the control precision is high, the turn-off time point does not need to be determined through current sampling, the cost is reduced, and the cost and the control precision are both considered.

The invention relates to a judgment method and device for adjusting the fitting current of an upper tube, and the method comprises the steps: obtaining PWM information for controlling the connection and disconnection of the upper tube and a lower tube in a previous period, and calculating the half value of the connection time of the upper tube and the half value of the connection time of the lower tube; in the current period, when the upper tube reaches half conduction time, sampling the upper tube fitting current; sampling the real-time current of the lower tube when the lower tube reaches half conduction time; comparing the upper tube current sampling signal with the lower tube current sampling signal, and obtaining an adjustment strategy including the upper tube fitting current simulation slope of the next period according to a comparison result; and according to the adjustment strategy, generating an adjusted upper tube fitting current. According to the invention, potential faults caused by switching noise can be avoided, the current detection precision of the system is ensured, and the stability of the system is improved.

The utility model relates to the technical field of beauty instruments, and discloses an electrode tip applied to a beauty instrument and the beauty instrument. The control module is configured to drive the first electrode and the second electrode to output periodic electric signals in a beautifying period, and the electric signals comprise at least one electroporation waveform sequence; each electroporation pulse sequence includes: an on-period in which an electroporation current is generated; a delay protection period between the on periods; the conduction time period accounts for 40%-55% of the period of the single electroporation pulse sequence. By reasonably setting the proportion of the conduction time period of each electroporation pulse sequence in the beauty period, the electroporation waveform sequence can be stably generated, the electroporation effect is effectively improved, and the absorption efficiency of the skin to nutrient substances is enhanced.

The application provides a synchronous rectification control circuit, a control method and a flyback converter. The synchronous rectification control method comprises the following steps: estimating the current freewheeling time of the synchronous rectification tube in the current switching period according to the output voltage of the flyback converter and the drain-source voltage of the synchronous rectification tube; and obtaining the minimum conduction time of the synchronous rectification tube in the current switching period according to the estimated current freewheeling time. The synchronous rectification control method provided by the application can adapt to the minimum conduction time requirement of the system to the greatest extent, avoids the problems of inflexible application of the fixed minimum conduction time and untimely adjustment of the minimum conduction time, and improves the efficiency of the whole system and the system applicability.

The present disclosure describes a system for detecting abnormal blood pressure or blood volume in a user, the system comprising a processing system; a pulse transit time (PTT) detection system for providing a PTT signal indicative of a PTT of the user to the processing system, wherein PTT of the user is used as a surrogate for a blood pressure (BP) of the user; and an electrodermal activity (EDA) detection system for providing an EDA signal indicative of an EDA of the user to the processing system; wherein the processing system processes the PTT signal and the EDA signal to determine an index indicative of an abnormal blood pressure or blood volume of the 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.

This invention relates to the field of electromechanical energy conversion control technology, and discloses an electromechanical converter drive control system for precision instruments, including: an acquisition module for acquiring stator winding current data; a calculation module for calculating the original phase duty cycle; a minimum width determination module for determining the reliability of the sampling signal; and a reconstruction module for calculating the common-mode voltage offset and reconstructing the duty cycle. This module superimposes the offset onto the original phase duty cycle and utilizes the three-phase system's degrees of freedom to shift the conduction time. While maintaining the volt-second integral equivalence of the line voltage between windings, it increases the effective pulse width of the current sampling. This invention expands the physical observation window through modulation logic reconstruction, eliminates the low modulation ratio current observation blind zone, resolves the underlying contradiction between electromagnetic thrust smoothness and feedback observability, and improves the closed-loop control accuracy of precision instruments under micro-step conditions.

This invention discloses a method for assessing motor cortical excitability based on threshold-tracking magnetic stimulation, relating to the field of biomedical engineering technology. The method includes the following steps: electrical stimulation of the median nerve in the subject's wrist; recording on the abductor pollicis brevis (APB) muscle; recording the stimulus-response curve; determining the cortical stimulus-response (SR) curve by increasing the magnetic stimulation intensity to the specified levels; calculating the statistical parameters of the mean and standard deviation of the excitability threshold; and determining the dynamic trend of cortical excitability. This invention determines the cortical stimulus-response curve by increasing the magnetic stimulation intensity to the specified levels, and calculates the central motor conduction time based on the stimulus-response curve using the F-wave method, thus completing the initial stimulus and threshold determination. Subsequent threshold tracking is then performed based on this technique, providing an efficient and accurate means of detecting motor cortical function for the diagnosis of neurological diseases.

The invention discloses a method for adjusting the output front edge of a multi-primary pulse modulator, and the method comprises the steps: controlling the conduction time sequence of each primary winding of the multi-primary pulse modulator, and adjusting the conduction time of each primary winding in real time, thereby adjusting the output pulse front edge through the influence of the conduction of the primary windings on the loop impedance. According to the scheme, software is adopted to control the conduction time sequence of the primary windings, that is, the conduction time of each group of primary windings can be adjusted through the software, the opening time of each path is adjusted in real time, loop impedance is affected through the method, and then the leading edge is affected to achieve the adjustment purpose.

The application discloses a kind of based on multi-modal fingertip monitor's vascular pressure reflex sensitivity dynamic evaluation method, system and equipment, belong to the technical field of autonomous nerve function assessment of computational physiology.The method relies on monitoring equipment and its specific high-fidelity recording mode that can produce time strictly aligned multi-modal raw data stream in hardware level, relies on synchronous data packet with uniform timestamp that is composed of electrophysiological data sub-packet and optical data sub-packet in data level.The core of method includes: receiving and analyzing the time-aligned data packet, detecting the starting point of skin conductance response event from it, and calculating pulse wave conduction time sequence synchronously;With each skin conductance response event starting point as time reference, analyze the dynamic change characteristics of the pulse wave conduction time sequence in the preset time window after it, and quantify the change characteristics as the evaluation index of vascular pressure reflex sensitivity.The present application makes full use of the accurate timing relationship between skin electrical activity surge event and vascular dynamics instantaneous response provided by high-precision hardware synchronization, solves the problem that traditional pressure reflex sensitivity evaluation method is complex, cannot be continuously monitored, and is difficult to capture instantaneous reflex function.

The application provides a dead time adjusting method, an adaptive ZVS control method and a switching power supply, comprising the following steps: 11) obtaining a first time length, collecting a second time length of a current period, and comparing the first time length with the second time length; 12) if the first time length is greater than the second time length, reducing the conduction time of a clamping tube by a preset time length in the next period; if the first time length is less than the second time length, increasing the conduction time of the clamping tube by the preset time length in the next period; if the first time length is equal to the second time length, keeping the conduction time of the clamping tube in the next period; and 13) returning to step 11) to adjust the dead time between the clamping tube and the main switch in each period. The application can accurately realize adaptive control of the dead time between the upper clamping tube and the main switch tube in a full load range, has high safety, small loss of the main switch tube, high system efficiency, and wide application range.

The invention discloses a big data analysis method and system for noninvasive cardiac discharge monitoring, and the method comprises the steps: collecting radial artery multichannel signals through a sensor array signal processing platform, processing and screening effective signals, extracting features through a pulse wave conduction time analysis algorithm, and constructing a time series data set; decomposing characteristic wave components by using a radial artery tension waveform analysis model to obtain parameters, and adjusting a compensation coefficient by combining a vascular elasticity dynamic compensation model to obtain vascular elasticity related parameters; the integrated data is input into a big data analysis module, association mapping is established through multi-feature fusion processing, iterative optimization is carried out, a monitoring result is output, and each key step comprises refining and sub-steps to guarantee the processing precision. The system is provided with six units corresponding to the method. The method and the system solve the problems of loose connection of signal processing and analysis, dependence on a single parameter and lack of dynamic compensation in the prior art, improve the monitoring precision, realize non-invasive operation, are safe and convenient, and meet clinical requirements.

The application belongs to the technical field of electrical equipment state monitoring, and specifically discloses a method and system for predicting the deterioration trend of a lightning arrester in extremely cold conditions based on multi-physical field coupling, which comprises the following steps: synchronously collecting multi-dimensional data such as bus voltage, end total current, surface temperature field and broadband mechanical vibration of the lightning arrester; based on the internal instantaneous Joule heat power, the electric parameter is deconstructed, and cross-correlation analysis is performed with the surface temperature field to calculate the effective heat conduction time delay representing the structural integrity; the newly added mechanical resonance frequency is extracted from the vibration signal, and the total current is modulated based sideband lock detection to identify the electromechanical coupling damage features causing the current modulation effect. The application combines the evolution trend of the heat conduction time delay and the detection results of the electromechanical coupling damage to generate a prediction report containing the structural thermal resistance state and the crack electrical risk level, which can distinguish the defect nature and evaluate the electrical risk, and is helpful for grading early warning.

The application belongs to the field of heart disease treatment and natural medicine compound, and provides application of bufalin or a pharmaceutically acceptable salt thereof in preparation of a medicine for treating reperfusion arrhythmia. Experiments in vitro and in vivo prove that bufalin inhibits L-type calcium channels in a concentration-dependent manner, reduces extracellular calcium ion inflow, and further reduces the incidence of ventricular arrhythmia, arrhythmia, reduces ventricular conduction time, increases left ventricular conduction velocity, and reduces ventricular conduction dispersion; and provides a new drug selection for the treatment of reperfusion arrhythmia.

A maximum conduction time trigger circuit of a multiphase control system, characterized in that the circuit is applied to each pair of phases of the multiphase control system, and comprises a phase delay unit, a pulse generation unit and an output unit; wherein the phase delay unit generates a first delay of a previous phase pulse modulation signal and sends the first delay to the output unit; the pulse generation unit realizes the maximum conduction time limitation of the current phase based on a second delay of the previous phase pulse modulation signal and sends the maximum conduction time limitation to the output unit; the output unit realizes the inter-phase delay control and the maximum conduction time limitation of the pulse width modulation signal of the current phase simultaneously according to the first delay and the maximum conduction limitation. The present application has clear ideas, simple methods, and reasonably designed second delay time, which prevents phase delay abnormalities under large duty cycles and prevents large negative pulses of output voltage.