1147 results about "Av conduction" patented technology

The invention provides an artificial intelligence auxiliary diagnosis method and system for a knee joint, and the method comprises the steps: synchronously collecting a multi-angle dynamic X-ray image and six-degree-of-freedom contact force distribution data in an articular cavity, dynamically tracking a patella sliding track, and generating a mechanical phase track; a personalized knee joint model is constructed in combination with the biological parameters of the lower limbs of the patient, the mechanical phase trajectory and the contact force data vector are superposed to generate a dynamic mechanical fingerprint, and then the dynamic mechanical fingerprint is mapped into a biomechanical attribute map; electromyographic signal time-frequency characteristics and tibia rotation angles in the movement process are collected, an electromyographic activation mode is constructed, and the electromyographic activation mode and a biomechanical attribute map are subjected to characteristic fusion to form a joint dynamics comprehensive contour; analyzing a stress wave conduction path by using a joint anomaly dynamic propagation model to identify a compensatory injury mode; a diagnosis map is generated according to the recognition result, a preset biomechanical constraint condition is matched to correct the diagnosis map, and an individualized rehabilitation strategy is formulated. The treatment effect is improved, and the recovery speed of a patient is increased.

The invention relates to the technical field of medical and industrial cross, in particular to a method and device for generating a dynamic cardiac electrical excitation diagram, and the method comprises the steps: carrying out the phase alignment of the electrical excitation diagram and the cardiac image data of a preset mode, and obtaining time domain alignment data; on the basis of the time domain alignment data, aligning the heart models reconstructed in different modes according to the anatomical form to obtain space domain alignment data; and projecting an electrical mapping result to a corresponding anatomical structure of the heart based on the time domain alignment data and the spatial domain alignment data, and constructing a dynamic heart model of individualized electrical anatomical mapping of the target patient so as to display propagation of the electrical excitation diagram in the whole cardiac cycle on the dynamic heart model according to the conduction velocity in one cardiac cycle. According to the method, the dynamic heart model of the individualized electroanatomical mapping of the specific patient can be constructed by using the cardiac electrophysiology and anatomical structure data, the dynamic cardiac electrical excitation diagram of the human body is reconstructed, and the catheter ablation treatment of the tachycardia patient is guided by using the dynamic cardiac electrical excitation diagram.

The invention discloses an anesthesia equipment fault diagnosis method and system based on image recognition, particularly relates to the technical field of medical equipment fault detection, and is used for solving the problem that a non-contact image detection method in existing anesthesia equipment pipeline leakage detection is poor in transparent pipeline weak leakage signal recognition capability. Through combination of multispectral dynamic imaging and polarized light scattering mode analysis, pipeline surface microscopic deformation characteristics are obtained, and a leakage path prediction result is generated. Environmental reflective noise is inhibited based on spectral distribution characteristics of the reference image set, optical response changes of the candidate area are triggered in combination with active pressure disturbance, and the inverse proportion physical relation between the permeation rate and the fluid conduction speed is verified; through dynamic threshold screening and spatial continuity verification, accurate positioning of a target area is realized, finally, spectral features, path forms and real-time pressure parameters are fused to generate leakage risk assessment, non-intrusive high-sensitivity leakage identification is realized, and reliable guarantee is provided for safe operation of clinical anesthesia equipment.

The invention relates to the technical field of medical care informatics, and discloses an intelligent post-stroke cognitive impairment assessment method based on brain network dynamic reconstruction, which comprises the following steps: acquiring multi-modal brain image data of a patient, dynamically compensating the difference between haemodynamic delay and white matter conduction velocity through a nerve-blood vessel coupling model, and calculating the post-stroke cognitive impairment; precise space-time alignment of function and structure signals is realized; a pulse neural network dynamic entropy change model is constructed based on the alignment data, functional connection strength change is coded into a pulse distribution sequence, and Gamma wave band synchronization enhancement and other compensatory features are extracted; constraining rationality of brain network reconstruction by adopting an energy optimal transmission model, and generating a compensatory thermodynamic diagram; and real-time calculation of the edge end is realized through pulse time sequence compression coding. The limitation of traditional static analysis is avoided, the algorithm achieves microsecond response on embedded equipment through the pulse coding technology, and a reliable stroke rehabilitation evaluation tool is provided for primary hospitals.

Transcatheter aortic valve prostheses for improving the cardiac function of a patient suffering from coronary artery disease. Transcatheter aortic valve prostheses include a valve component and a frame. The valve component includes valve leaflets and a skirt. The frame includes access cells that improve access to a patient's coronary arteries if further intervention is required and / or includes a window or conduction protection cell that is oriented to align with a portion of conduction system of the heart in situ to reduce conduction disturbances of the anatomy. Suture patterns for attaching a commissure to a commissure post of the frame, and for attaching a tissue bumper to the commissure post, are also described.

The organ chip comprises a culture membrane and an actuating membrane, a first culture chamber, a second culture chamber, an actuating chamber and a perfusion channel are further formed in the organ chip, the culture membrane divides the first culture chamber and the second culture chamber, the perfusion channel is communicated with the first culture chamber, and the actuating chamber is communicated with the second culture chamber. A communication port of the perfusion channel and the first culture chamber faces the culture membrane, preferably directly faces the culture membrane, the perfusion channel is used for connecting an external air source, the actuating chamber separates the second culture chamber and the actuating chamber, and the actuating chamber can deform in response to a pressure change of the actuating chamber so as to conduct the pressure change between the actuating chamber and the second culture chamber; further, the culture membrane is deformed. The organ chip can more truly simulate the respiratory movement process of pulmonary alveoli and the multi-directional shear stress generated by gas to cells, and is beneficial to meeting the research requirements of respirator-related lung injury.

The invention discloses an insertion tube and a manufacturing method thereof, an insertion part and an endoscope, and relates to the technical field of medical instruments, the insertion tube comprises an insertion body and an elastic tube, a first reinforcing layer and a second reinforcing layer are arranged in the insertion body, the second reinforcing layer is arranged outside the first reinforcing layer in a surrounding mode, and the first reinforcing layer is provided with a concave part. The first reinforcing layer and the second reinforcing layer can form double limiting and wrapping supporting on the elastic pipe, the concave shape of the concave part of the first reinforcing layer is utilized to be attached to the outer wall outline of the elastic pipe, and the outer side of the second reinforcing layer is matched for enclosing and restraining, so that the installation stability of the elastic pipe in the first channel can be greatly improved; bending moment generated by self-gravity, external force and the like of the elastic tube is effectively counteracted, the elastic tube is prevented from being bent under the action of self-gravity, external force and the like, the whole insertion tube is prevented from deforming along with bending of the elastic tube, and the form stability of the insertion tube in the cavity in the propelling process is guaranteed. And the straightness of a traction rope transmission path and the accurate conduction of a control instruction are ensured.

The invention relates to a vibrator array for generating tactile feedback and audio frequency, a method and application thereof, the vibrator array comprises an array main body part, the array main body part comprises at least two vibrators, and each vibrator can do reciprocating mechanical motion in one direction to generate vibration; each internal and external connection elastic sheet is connected with the corresponding vibrator and comprises a flat sheet body, an internal connection rib and an external connection rib; the supporting structural member is used for supporting the vibrator and the internal and external connecting elastic sheets; the signal transmission processing part is electrically connected with the vibrator; wherein the vibrator simultaneously realizes massage, vibration tactile feedback and audio playing functions through vibration, and the audio playing function is realized through two modes of air conduction and bone conduction; the integration of massage, vibration tactile feedback and audio playing functions is realized through the same vibrator unit; the vibrator array can generate clear vibration direction and directivity and provide more accurate tactile feedback.

The invention discloses a heart failure combined left beam branch conduction block classification method based on feature fusion, and the method comprises the steps: extracting radiomics features and deep learning features through a heart magnetic resonance image, carrying out the feature fusion and selection, constructing a classification model through a machine learning algorithm, and carrying out the classification of the heart failure combined left beam branch conduction block. According to the method, the advantages of deep learning in the aspect of image processing and the high efficiency of machine learning in a classification task are combined, and complex information of a heart image can be reflected more comprehensively and accurately by combining radiomics features and deep learning features; an automatic and intelligent feature extraction and classification method is utilized, a large amount of medical image data can be rapidly processed and analyzed, accurate classification of the heart failure combined left bundle branch conduction block is achieved, the method has higher classification accuracy and higher robustness, and in the field of medical image classification, the method has the advantages that the classification accuracy is improved, and the classification efficiency is improved. And the efficiency and the quality of medical services can be improved.

The invention provides a heart conduction health degree assessment method, medium and system, and belongs to the technical field of electrical digital data processing.The heart conduction health degree assessment method comprises the steps that firstly, heart conduction signals of multiple testers and expert assessment results are collected; splitting the signals by using an empirical mode decomposition method to obtain a standard signal matrix and a non-standard signal matrix; then calculating the wavelet feature of the standard signal and the Fourier feature of the non-standard signal; based on the features, an improved convolutional neural network model is constructed, including a spatial pyramid pooling layer, an attention mechanism, residual connection and multi-scale feature fusion. After being trained, the model can be used for evaluating the health degree of a to-be-evaluated heart conduction signal. According to the method, the time-frequency characteristic of the signal is fully utilized, more accurate health condition assessment is realized through improvement of the deep learning model, and the problem that the overall health condition is difficult to comprehensively and objectively assess since most of the prior art only focuses on the local characteristic of the heart conduction system is solved.

The invention relates to the technical field of medical health data information decoding analysis and processing, and particularly discloses a dynamic pain nerve decoding and intervention system based on a prefrontal lobe time sequence characteristic window, which comprises a signal acquisition module, a dynamic window control module, a phase prediction module, an intervention execution module and an event driving controller. The dynamic window control module intelligently adjusts the duration of a signal analysis window through real-time calculation of the energy ratio of a # imgabs 0 # frequency band to a # imgabs 1 # frequency band, and accurately locks a transient characteristic window in a pain outbreak period; the phase prediction module realizes millisecond-level synchronization of stimulation pulse and a rising edge of action potential of a neural cluster based on a two-factor mapping mechanism of an individualized conduction velocity level and an oscillation frequency; the event-driven controller reduces the power consumption to a wearable device level while maintaining 10 ms-level real-time response through a dynamic resource allocation strategy.

The invention discloses an adjustable auxiliary device for ultrasonic diagnosis in the obstetrics and gynecology department, relates to the technical field of medical treatment, and aims to solve the technical problems that a coupling agent is easily contracted and extruded by muscles, so that detection is inaccurate, and misdiagnosis is easily caused. According to the invention, the extrusion sheet which deforms due to the influence of human body temperature is utilized to automatically supplement the coupling agent, ensure the coherence of the detection process, shorten the time and reduce the discomfort of the patient and the influence risk of the detection result. The elastic clamping sheet is matched with the elastic clamping groove to dynamically adjust the supplement amount of the coupling agent, so that sufficient coupling agent at each detection part is ensured, ultrasonic conduction is stable, and accurate diagnosis is assisted. The spiral guide body design of the coupling agent guiding mechanism can guide the redundant coupling agent to flow and prevent the redundant coupling agent from dripping at the bending position, and the probe circuit can be protected. The grab handle and the pressure suction mechanism work cooperatively to efficiently collect redundant coupling agents, so that the cleaning workload is reduced, and the detection convenience is improved.

The invention discloses a motor cortex excitability evaluation method based on threshold tracking magnetic stimulation, and relates to the technical field of biomedical engineering. The motor cortex excitability assessment method based on threshold tracking magnetic stimulation comprises the following steps: performing electrical stimulation on median nerves of a wrist of a subject, recording on an abductor politics brevis (APB), recording a stimuli-response curve, determining a stimuli-response (SR) curve of cortex stimulation by increasing the magnetic stimulation intensity to the following level, and determining the stimuli-response (SR) curve of cortex stimulation according to the stimuli-response (SR) curve. And calculating statistical parameters of the average value and the standard deviation of the excitability threshold values, and judging the dynamic trend of cortical excitability. According to the method, the stimulation-reaction curve of cortex stimulation is determined by improving the magnetic stimulation intensity to the following level, the central movement conduction time is calculated through the F-wave method based on the stimulation-reaction curve, initial stimulation and threshold determination are completed, subsequent threshold tracking is carried out on the technology, and the accuracy and the reliability of the system are improved. And an efficient and accurate brain motor cortex function detection means is provided for diagnosis of nervous system diseases.

The utility model relates to the technical field of medical instruments, and discloses an energy surgery active cooling device and an energy surgery active cooling system. The second clamping body is connected with the first clamping body, and the far end of the second clamping body is suitable for abutting against the far end of the first clamping body; the cooling structure is arranged on at least one of the first clamping body and the second clamping body; the interior of the cooling structure is hollow and forms a containing cavity, and the containing cavity is suitable for containing a cooling medium; the containing cavity communicates with an external cold source, and the containing cavity is suitable for circulating a cooling medium between the containing cavity and the external cold source so that heat on the first clamping body and / or the second clamping body can be conducted to the external cold source from the far-end tip end. According to the active cooling device for the energy surgery department, the heat risk of the heating surface is eliminated, the heat dissipation and cooling efficiency of the clamping body is improved, the heat dissipation structure of the clamping body is simplified, and the process difficulty of the device is reduced.

The invention relates to the technical field of intelligent medical auxiliary diagnosis and neural function automatic evaluation, in particular to an NIHSS score automatic evaluation system for a stroke patient. Comprising a multi-mode induction and perception unit which is used as a front-end data entry and is used for collecting patient response in real time to generate a video stream containing depth and color information and a synchronous audio stream; the dynamic reference calibration unit is used for extracting kinematic characteristics to construct an individualized nerve reference template; the neural motion spectrum decomposition unit is used for generating a spectrum pathological feature vector for distinguishing myasthenia and ataxia; the opposite-side image rejection analysis unit is used for generating compensation and driving confidence for representing a real nerve driving intention; the cross-modal reflection analysis unit is used for generating a sensory pathway integrity index according to the nerve conduction velocity difference; and the collaborative scoring decision engine is used for mapping the multi-modal features into standardized NIHSS scores. According to the method, the interference of age and basic physique on scoring is effectively eliminated, and a high-precision comparison reference can be provided for subsequent abnormal judgment of the affected side.

The invention relates to the technical field of health risk assessment, in particular to a neurosurgery risk prediction method and system based on big data analysis, and the method comprises the steps: obtaining the neural signal intensity of a brain region in preoperative functional image data of a patient, analyzing the balance degree of neural signal transmission, and analyzing the balance of oxygen metabolism distribution according to the nerve conduction rate. And preoperative nerve state information is formed. According to the method, by accurately extracting the preoperative neural activity signals and analyzing the signal transmission delay, the fluctuation amplitude and the oxygen metabolism balance, the accuracy of individual neural function state evaluation is improved. In the postoperative recovery stage, the abnormal region is dynamically recognized in combination with the neural signal change trend, and the metabolism matching capacity is evaluated, so that the recovery mode is more refined. Neural network connection adjustment capability analysis enhances signal transmission stability evaluation, and abnormal region identification accuracy is improved by combining time deviation and oxygen metabolism recovery consistency.

The high-density plug-in connector comprises a male end and a female end which can be plugged in a matching manner, a first shielding ring and a plurality of conductive contacts are arranged in the male end, the female end comprises an elastic fastener, a second shielding ring and a plurality of conductive elastic sheets, and the second shielding ring can be sleeved and fixed at the periphery of the first shielding ring during plugging. According to the utility model, the structure that the plurality of conductive contacts are matched and connected with the conductive elastic sheets one by one is used for replacing the conventional male and female terminal plug-in, so that the electric signal conduction elements which are densely arranged can be arranged in a narrow space, and the purpose of reducing the size of the connector is achieved; space can be effectively utilized, shielding protection on internal electric signal conduction elements can be enhanced, signal transmission distortion caused by external electromagnetic interference can be avoided or reduced, stability of signal transmission can be ensured, structural stability of the connector after plugging can be ensured, single-hand operation of an operator is facilitated, and the connector is convenient to use.

The invention relates to a nerve monitoring monopole electrocoagulation hook for thyroid surgery and a surgical instrument, and relates to the technical field of medical instruments.The electrocoagulation hook comprises a nerve detecting piece installed at the front end of a handle, an insulating pipe body is arranged in the nerve detecting piece, a smoke suction channel and a sliding hole are formed in the insulating pipe body, and a rod body is slidably inserted into the sliding hole and connected with an external power source; the far end of the rod body is provided with a hook body bent relative to the rod body, and the surface, deviating from the smoke suction channel, of the hook body forms an electrocoagulation face. The hook body is provided with a first-stage heat conduction assembly, avoids the electrocoagulation surface and is in heat conduction connection with the electrocoagulation surface; one end of the second-stage heat conduction assembly is in heat conduction connection with the first-stage heat conduction assembly, and the other end of the second-stage heat conduction assembly extends into the smoke suction channel. Through the combined design of two-stage heat conduction and heat dissipation, heat generated by the electrocoagulation surface during coagulation and cutting can be rapidly conducted through the heat conduction assembly and is dissipated and taken away through cooperation of the smoke suction channel, so that the diffusion risk of the heat in adjacent nerves and tissues is reduced to a certain extent, and the operation safety and stability in an operation are improved.

The invention relates to the technical field of medical big data analysis, and discloses a hospital medical record data anomaly analysis method based on big data. According to the method, multi-source medical record data including diagnosis and treatment event records, nursing operation sequences and patient sign monitoring streams in a hospital information system are collected, and structured reforming is carried out. And constructing a medical record element interaction graph based on the reformed data, and detecting an abnormal state conduction path between the data elements through the graph model. And performing hierarchical traceability calculation according to the detected conduction path, positioning an abnormal source and generating a positioning report, and finally outputting a calibration instruction set according to the report. According to the method, the abnormal conduction chain is systematically identified from the correlation perspective, and the root source of the abnormality can be automatically and accurately traced, so that the logicality and the positioning accuracy of the medical record data abnormality analysis are improved.

The invention provides an equipment detection method and device, an upper computer and a system, and the method comprises the steps: playing a noise signal through a loudspeaker under the condition that a bone conduction sensor of wearable equipment collects a heart sound signal of a wearer; determining an environmental noise signal according to a noise signal collected by a microphone at the wearable device; according to the heart sound signals collected by the bone conduction sensor, the interference degree of the environment noise signals on the wearable device is determined.

The invention relates to a nursing shift information association method and system based on a dynamic knowledge graph, and belongs to the field of data processing. The method comprises the steps of integrating multi-dimensional data of a patient and outputting a situation matrix, the multi-dimensional data of the patient comprises a basic portrait of the patient, a dynamic index, a treatment process and a nursing focus, and the situation matrix comprises acute degree, vulnerability and intervention priority; acquiring and analyzing a nursing shift information text, and outputting a clinical event set with a corrected potential energy value based on the situation matrix and the nursing shift information text; carrying out direct effect projection and risk conduction modeling based on the clinical event set, and outputting an aging curve and a risk event set carrying a risk value; and constructing a dynamic knowledge graph based on the clinical event set, the timeliness curve and the risk event set. According to the invention, multi-source clinical data are integrated through the dynamic knowledge graph, and intelligent association of nursing shift information is realized.

The invention discloses soft tissue high-frequency welding equipment, and belongs to the technical field of surgical operating instruments, the soft tissue high-frequency welding equipment comprises an electrocoagulation pen main body, the electrocoagulation pen main body is connected with an insulating rod, the insulating rod is further provided with a conduction pipeline parallel to a cutter head part, and a temperature sensing unit comprises a hinting structure and a telescopic action structure. The electric resection temperature of the knife head part can be sensed in real time through the action structure in the temperature sensing unit, and when the knife head part is overheated, the action structure can be converted into an extension state from an initial retraction state and triggers the indicating structure to protrude out of the surface of the electrocoagulation pen main body, so that a doctor is reminded to cool the knife head part in time; therefore, in the electric resection operation process of the hypertrophy tonsil and adenoid body of the child, the situation that the scalpel head part is overheated in the long-time continuous state of the operation and burns the tissue of the affected part of the child is effectively avoided, the safety of the soft tissue resection operation of the child is improved, and postoperative recovery and healing of the operative part of the child are facilitated.

The invention discloses a non-invasive wearable vascular arteriosclerosis assessment system and method based on multi-mode pulse wave signal fusion, and belongs to the field of vascular function assessment. The system comprises a distributed acquisition front end, a butterfly-shaped flexible substrate, an integrated double-accelerometer, a four-wavelength LED (530nm / 660nm superficial blood vessel measurement), a 810nm / 940nm deep artery measurement device, a double-photodiode, a double-impedance electrode and a pressure sensor. The central integrated control end processes a multi-mode signal and realizes pressure-LED current closed-loop control; the upper computer terminal extracts the multi-modal pulse wave time difference of the limbs and the neck, the local and regional pulse wave conduction velocity and the blood oxygen hemoglobin change parameters induced by the standardized posture, the dimension is reduced to 30 through principal component analysis, then the parameters are input into the random forest regression model, and the vascular elasticity index is output. Signal stability is improved through flexible fitting, single-source limitation is solved through multi-modal fusion, signal quality is guaranteed through closed-loop control, sensitivity is enhanced through dynamic physiological excitation, and accuracy and universality of arteriosclerosis assessment are improved.

The present invention provides an implant configured to be deployed in an eye by a deployment tool to facilitate conduction of fluid from a posterior chamber of the eye to a suprachoroidal space, the implant comprising an elongate member, and an elongate member having a proximal section configured to be disposed in the posterior chamber of the eye and a distal section configured to be disposed in the suprachoroidal space of the eye, the elongate member is configured to maintain a curved configuration that substantially conforms to an anatomical curvature of the posterior chamber and the suprachoroidal space. The invention also provides a deployment tool for inserting the implant described herein into an eye to facilitate conduction of fluid from the posterior chamber of the eye to the suprachoroidal space, and provides a system for facilitating conduction of fluid from the posterior chamber of the eye to the suprachoroidal space.

The invention relates to the technical field of medical instruments, and discloses a method and application of intelligent cardiac pacemaker equipment based on biofeedback regulation, the intelligent cardiac pacemaker equipment based on biofeedback regulation comprises a shell, the interior of the shell is provided with a pulse generator, the pulse generator is used for conducting an electrical stimulation signal to cardiac tissue, and the pulse generator is connected with a cathode and an anode through a control module; the storage battery is mounted on one side in the shell and is used for supplying power to the pulse generator; the control module comprises an information acquisition module used for acquiring physiological information of a user in real time; the signal processing module is used for receiving and preprocessing the physiological signals; and the intelligent regulation and control module is combined with the output data of the signal processing module to regulate and control the working state of the pulse generator. By integrating the information acquisition module, the signal processing module and the intelligent regulation and control module, physiological information of a user is monitored in real time, and the working state of the pulse generator is accurately regulated, so that effective electrical stimulation on the heart is realized, and normal physiological rhythm of the heart is ensured.

The invention provides a rehabilitation training feedback system and method. The method comprises the following steps: acquiring a surface electromyogram signal; a plurality of activation trend indexes are determined through the surface electromyogram signals, and then muscle force activation points of different muscle areas are extracted from the surface electromyogram signals according to all the activation trend indexes; performing collaborative analysis on the basis of a function collaborative relationship in combination with all muscle force activation points to obtain time sequence response tensors between all motion joints and corresponding muscle areas when motion responses are inconsistent; according to the joint angle information and the time sequence response tensor, constructing a functional coupling graph, and further performing kinematic chain simulation on a rehabilitation training process through the functional coupling graph to obtain a response consistency index; and performing feedback control on the rehabilitation training process of the patient according to the response consistency index in combination with a preset consistency threshold. By means of the scheme, feedback control can be conducted on rehabilitation training of the patient based on the space-time coupling relation between muscle group microstructure changes and mechanical conduction characteristics.

The invention relates to the technical field of temperature sensors, in particular to a temperature sensor dynamic response acceleration method and system for medical liver testing, and the method comprises the steps: collecting an original temperature measurement sequence outputted by a main temperature sensor in a first target region in real time, synchronously acquiring a reference temperature sequence output by a reference temperature sensor located in a second target area; and based on the physical characteristics of the main temperature sensor and the heat exchange characteristics of the liver tissue, constructing a sensor and liver tissue dynamic response model containing key dynamic parameter vectors. The dynamic response model of the sensor and the liver tissue is constructed, the dynamic characteristics of the sensor and the tissue in the current environment can be accurately quantified, thermal inertia and conduction delay are actively compensated from the algorithm level through the model inverse function, the real-time performance of temperature monitoring is remarkably improved, and the temperature monitoring accuracy is improved. And a timely and reliable feedback signal is provided for closed-loop control.

Example approaches are directed to an apparatus for reducing smoke created by a surgical instrument in a procedure, e.g., as part of a surgical system. The apparatus may include an insulating vessel and a flexible printed circuit disposed within the vessel, with the vessel including an inlet and an outlet. The flexible printed circuit includes a substrate layer and a conductive layer disposed on the substrate. The conductive layer includes two charge conducting portions or electrodes having opposite electrical charges, which are spaced apart by an electrically insulated portion. The charge conducting portions are positioned between the inlet and outlet of the vessel such that particles entering the inlet are electrically charged and drawn to one of the charge conducting portions.

According to the three-dimensional electric field coupling modeling method for analgesia provided by the invention, the propagation process of an electric field in each physiological tissue is accurately simulated by constructing a multi-layer bionic tissue model, so that the accuracy and effect of analgesia treatment are improved; calculating the conductivity and dielectric constant of each layer of tissue, performing numerical simulation on electric field distribution by using a finite element analysis technology, optimizing electrode configuration and electrical stimulation parameters, and ensuring the uniformity and stability of the electric field of a target area; a neurophysiology model is integrated, the conduction law of nerve fiber action potential is dynamically simulated, the stimulation effect of electric field intensity on nerve fibers is quantitatively analyzed, analgesia parameters are further optimized, and accurate control over pain signal transmission is achieved. The problems that in an existing electrical stimulation technology, electric field distribution is not uniform, electrode contact is not stable, and the stimulation effect is difficult to last are effectively solved, wide clinical application prospects are achieved, and an efficient, stable and accurate solution is provided especially in non-invasive treatment of chronic pain.

The invention relates to the technical field of medical treatment, in particular to an intra-abdominal pressure adjusting device and method.The device comprises an adjustable support used for supporting a skin contact assembly and allowing the position and angle of an electromagnet to be adjusted; the electromagnetic adsorption assembly is fixed on the adjustable bracket and is used for lifting the abdominal skin of the patient according to an electromagnetic adsorption effect so as to reduce the abdominal wall pressure; the skin contact assembly connected with the electromagnetic adsorption assembly is used for being attached to the skin of a patient and forming a sealed space; the control assembly is electrically connected with the electromagnetic adsorption assembly and used for collecting current pressure data and dynamically adjusting current output of the electromagnetic adsorption assembly according to a preset pressure threshold value and the current pressure data. Therefore, the problem that in the prior art, although the body position therapy can relieve the gravity compression of the abdominal wall, in a critical patient needing to be kept in a semi-reclining or upright position, the reverse effect of chest pressure conduction and diaphragm downward movement possibly aggravates the pressure load of the abdominal cavity is solved.