220 results about "Electrophysiology" patented technology

The invention provides an Alzheimer disease auxiliary accurate identification method and system based on a multi-omics marker network and an adaptive support vector machine. Accurate identification of Alzheimer's disease and other types of dementia is realized through a marker network based on five modal data and an adaptive support vector machine model. According to the method, multi-source heterogeneous data such as blood, urine, neuroimaging, electrophysiology and clinical evaluation are fused, specific markers are analyzed and screened by adopting a weighted gene co-expression network, and cross-modal feature interactive learning is realized through a self-attention mechanism. An online learning mechanism is introduced to enable the model to adapt to new data distribution, and the contribution degree of each marker to diagnosis is output in combination with an interpretability module. Finally, multi-center data synchronization and model optimization are realized by means of a cloud platform, the accuracy, specificity and early diagnosis capability of AD diagnosis and identification and the adaptability of the model are remarkably improved, the limitation of the prior art is overcome, and doctors are assisted to diagnose and treat the Alzheimer's disease.

The invention relates to the field of ulcerative colitis, and discloses a multi-parameter monitoring system for evaluating the intestinal barrier function of ulcerative colitis, which is used for realizing the goal of automatically adjusting a treatment scheme according to a monitoring result by constructing a closed-loop feedback treatment system. According to the invention, by designing the nanoprobe of which the surface is modified with a specific binding element and combining with a swallowing capsule endoscopy, real-time imaging and molecular level dynamic tracking of the intestinal barrier are realized, genetically engineered bacteria are constructed to quantify intestinal permeability abnormality and local inflammation level, and an intestinal barrier function damage score and a disease progress prediction result are output; individual monitoring is achieved through transfer learning, ultrasonic elastography, optical coherence tomography, wearable equipment for measuring intestinal electric field impedance spectroscopy and other technologies are adopted, an intestinal wall mechanics-electrophysiology composite parameter set is obtained, and the evaluation accuracy is improved.

The invention relates to a chest pain classification method and system based on multi-modal data fusion and a deep learning model, and belongs to the technical field of intelligent medical auxiliary diagnosis. The method comprises the following steps: firstly, carrying out heart region segmentation and pathological feature enhancement preprocessing on a chest radiograph image, extracting anatomical features by adopting a multi-scale visual model which is optimized and improved aiming at the chest radiograph, meanwhile, carrying out multi-lead time sequence calibration and ST-segment waveform marking on an electrocardiogram signal, and capturing electrophysiological time sequence features through a multi-scale one-dimensional convolutional network; then, a dynamic gating hybrid expert system is constructed, an anatomy expert, an electrophysiology expert, a multi-modal association expert and a critical value expert process specific modal features respectively, and a gating network dynamically calculates expert weights based on real-time vital signs and pathological features; according to the method, by integrating multi-modal data and combining a deep learning technology, rapid and accurate chest pain classification support and report generation can be provided for clinicians, and the method has a wide application prospect.

The invention relates to the technical field of biological consciousness state monitoring, in particular to an emergency patient consciousness state monitoring system based on a bio-electricity signal, and the system obtains a theta rhythm signal, an alpha wave signal and a gamma wave oscillation signal through an electroencephalogram signal acquisition module and a signal extraction module; obtaining an effective phase amplitude coupling event and an occurrence time position thereof through a phase amplitude coupling event time position positioning module; based on a patient consciousness state monitoring module, obtaining a patient consciousness state monitoring index, and fitting the patient consciousness state monitoring index with the time sequence to complete patient consciousness state monitoring. By means of the method, the theta-gamma cross-brain region phase amplitude coupling (PAC) event can be accurately positioned, the limitation that space-time positioning of the PAC event is fuzzy and dynamic tracking lags in the traditional technology is broken through, millisecond-level high-resolution monitoring of the consciousness state of an emergency patient is achieved, and a quantifiable neural electrophysiology basis is provided for real-time intervention of disturbance of consciousness.

The invention discloses an irregular action recognition method, system and device for short-time sequence electroencephalogram and electromyography fusion, and the method comprises the steps: collecting electroencephalogram and electromyography signals from motor imagery to execution in an incomplete asynchronous manner through a wireless electroencephalogram signal collection device and a distributed wireless surface electromyography signal collection device; processing noise in the electroencephalogram signals and the surface electromyogram signals; in combination with electroencephalogram signals in a motor imagery period, extracting electroencephalogram signal space domain features in a motor execution period, extracting time domain features of surface electromyogram signals, and in combination with a mixed fusion mode of feature layer fusion and decision-making layer fusion, fusing short-time sequence electroencephalogram and electromyogram signals in the motor execution period; according to the method, the motion imagination period recognition result and the motion execution period recognition result are subjected to confidence analysis, irregular actions of the user are quickly and accurately recognized and serve as control instructions to be input into the exoskeleton robot, the exoskeleton robot is controlled to assist the user in completing the target actions, and the initiative of the user is effectively improved.

The utility model provides a bite block device for nerve electrophysiology monitoring in an operation, which comprises a lower bite block and an upper bite block, a channel groove for installing a trachea channel is arranged in the lower bite block, and lining plates are oppositely arranged on two sides of the channel groove in the lower bite block; the lower surface of the lower bite block is provided with a lower tooth groove, and the upper surface of the upper bite block is provided with an upper tooth groove. Through the arrangement of the base plate, the upper tooth cushion and the lower tooth cushion can be in full contact with molar teeth in the cavity, so that the pressure borne by incisor teeth is reduced, and the incisor teeth of a patient are prevented from being damaged; the trachea channel is arranged in the middle of the bite block, the inner lining plate is arranged on the outer side of the trachea channel, under protection of the inner lining plate, the trachea can be prevented from being bitten by a patient to be flat, normal use of the trachea is guaranteed, the trachea channel has a certain length and is arranged in the middle of the bite block, and after the whole bite block is arranged in the oral cavity of the patient, the inner trachea channel can press the tongue. The tongue is prevented from entering the space between the upper teeth and the lower teeth and is prevented from being bitten.

One or more non-transitory machine-readable media to store data and instructions executable by one or more processors. The instructions are programmed to analyze workflow data for a given phase of a plurality of phases of an ongoing electrophysiology (EP) workflow implemented using a first computing apparatus. The instructions can also determine at least one support event based on the analysis of the workflow data and send a request to at least one remote support specialist responsive to determining the at least one support event. The instructions further can establish a communication link between the first computing apparatus and a second computing apparatus, which is associated with a respective remote support specialist, and enable user interaction with and control of the machine-readable EP workflow instructions on the first computing apparatus responsive to a user input by the respective remote support specialist at the second computing apparatus.

The present invention relates to the technical field of medical electrophysiology catheters, and in particular to a detection system for indicating the degree of contact between catheter electrodes. The system comprises a magnetic field positioning module, a data acquisition module, and an contact detection module. The magnetic field positioning module is used to obtain the relative distance of an electrode relative to a reference point; the data acquisition module is used to obtain the impedance of the electrode relative to the reference point; and the contact detection module locates cells in the total target area based on the relative distance and impedance, and calculates the electrode contact index based on a pre-fitted relationship curve between electrode distance and impedance in the located cells. The contact degree between multiple electrodes and tissue can be obtained in real time. When the electrodes are installed on a catheter, the contact degree between each catheter electrode and tissue is displayed in real time.

A system includes a magnetocardiography (MCG) subsystem having a plurality of magnetometers. The system measures, via the MCG subsystem using the plurality of magnetometers, MCG data comprising biomagnetic field signals from a human subject. the system receives, from one or more ECG electrodes that are physically coupled to the human subject, ECG data comprising cardiac electrical activity of a heart of the human subject. The system determines location information of the one or more electrodes that are mounted on the human subject. In some embodiments, the system enhances the measured MCG data and / or the received ECG data according to determined location information of the one or more electrodes.

At least some embodiments of the present disclosure is directed to a method of processing cardiac information. The method includes the steps of: receiving an activation waveform comprising a set of activation waveform data; receiving a range of window size. For each of the plurality of window sizes, the method further includes the steps of: selecting a position of a central window; calculating a set of backward correlations; calculating a set of forward correlations; determining a backward confidence value based on the set of backward correlations; and determining a forward confidence value based on the set of forward correlations. Additionally, the method includes the steps of: comparing the set of confidence values to select a designated confidence value and a selected window size corresponding to the designated confidence value; and determining a local cycle length based on the selected window size.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.

Expandable electrophysiology catheters having electrodes mounted on splines of an expandable member are described. The splines of the expandable member include subsegments between a proximal location and a distal intersection at a central axis. The subsegments can include respective top-down profiles, and at least one of the top-down subsegment profiles is straight between the central axis and an adjacent top-down subsegment profile. The subsegments can be interconnected to extend continuously about the central axis from the proximal location to the distal intersection. Other embodiments are also described.

The invention relates to the technical field of biomedical engineering, in particular to an implantable neural electrode capable of performing dual-mode detection of electrode electrophysiology and electrochemical signals, carbon fibers are used as a skeleton, and the surfaces of the carbon fibers are modified with an insulating layer and a modified gel layer with biocompatibility. According to the invention, the carbon fiber is used as a skeleton, and the surface of the carbon fiber is modified with the insulating layer and the modified gel layer with biocompatibility, so that the excellent mechanical properties and electrochemical properties of the carbon fiber are retained, and meanwhile, the direct contact between a rigid material and tissues is avoided; the modified gel layer has good biocompatibility and conductivity, the biocompatibility of the contact surface of the electrode and the tissue can be effectively improved, the inflammatory reaction caused by electrode implantation and the mechanical mismatch between the electrode and the tissue are reduced, and the long-term stable effect is achieved.

A system for testing different regions of the retina of a subject for retinal function, said system comprising: a monitor configured to display a visual electrophysiology stimulus to the subject, wherein the visual electrophysiology stimulus comprises a four ring visual electrophysiology stimulus; at least one active electrode; at least one reference electrode; and a computer configured to receive electrical signals from said at least one active electrode and said at least one reference electrode, and process the electrical signals.

The present disclosure is related to a device for gripping catheters that are used in interventional cardiac procedures without causing internal catheter damage. The present disclosure will allow the operator to maintain improved stability and maneuverability compared with current approaches, including, primarily, digital manipulation, which can lead to fatigue, instability and inappropriate catheter movement. Specifically in the pediatric population where small movements can lead to severe and permanent complications, the present disclosure has the potential to increase the safety profile of already high-risk interventional catheterization and electrophysiology procedures.

The invention discloses a sensing and storage calculation integration method of an electrophysiological sensing device and an artificial synaptic storage calculation device, relates to the technical field of neuromorphic calculation, and aims to solve the problem of separation of wearable health monitoring sensing and storage calculation. The method comprises the following steps: S1, precisely preparing two-dimensional MXene by a liquid phase etching method; s2, constructing an MXene electrophysiological sensing device; s3, constructing an MXene artificial synaptic device; s4, the MXene electrophysiological sensing device in the step S2 and the MXene artificial synapse device in the step S3 are integrated; wherein the step S4 specifically comprises the following steps: S4-1, leading out a source electrode, a grid electrode and a drain electrode of the MXene artificial synapse device through a bonding machine instrument, connecting the grid electrode with the MXene electrophysiological sensor, applying a voltage of 100mV to the source electrode of the MXene artificial synapse device, testing a current change value of a channel material of the MXene artificial synapse device by the drain electrode, and presenting a curve through a mobile terminal, therefore, the human body electrophysiology compression signal can be presented.

Systems and methods for clustering wavefront signals in an electrophysiology map of cardiac tissue are provided. The systems and methods include receiving an electrophysiology map of the cardiac tissue, displaying propagation of the wavefront signals as a plurality of velocity vectors, discretizing the received electrophysiology map into a plurality of segments, clustering the velocity vectors into at least one group within each segment based on predefined criteria, and generating a trend line representing each group of clustered velocity vectors within each segment in the electrophysiology map.

The invention belongs to the technical field of vocal music training, and provides a singing expiration strength stability training system for breath flow control, comprising: a hardware sensing module for collecting airflow dynamic data, respiratory muscle group electrophysiological data and respiratory kinematics data of a user; the data processing control center is used for receiving and processing the airflow dynamic data, the respiratory muscle group electrophysiological data and the respiratory kinematics data to obtain a processing result; the multi-mode feedback module outputs real-time feedback to the user through visual, auditory and tactile multiple channels based on the processing result; according to the method, heterogeneous data of airflow dynamics, electromyography and respiratory kinematics are synchronously collected and fused, song audios are analyzed in combination with an artificial intelligence algorithm to generate a scene-based target curve, and a personalized training baseline is established based on accurate decision and multi-modal sensory collaborative feedback of a fuzzy logic algorithm; the efficient, accurate and personalized improvement of the stability of the exhaling force of singing is realized.

This disclosure relates generally to methods of screening and preparing cardiac cell therapies for potency (e.g., cardiac cell function).

The invention discloses an intraoperative nerve electrophysiology monitoring electrode array fixing system, and relates to the field of electrophysiology monitoring electrode fixing.The intraoperative nerve electrophysiology monitoring electrode array fixing system comprises a mounting rack, a first telescopic driving part is fixedly connected into the mounting rack, and the output end of the first telescopic driving part is fixedly connected with a mounting plate; according to the intraoperative nerve electrophysiology monitoring electrode array fixing system, the electrode is placed in the electrode fixing frame, and after the electrode is fixed through the clamping mechanism, the position is determined through the laser positioner. The transmission mechanism drives the corresponding threaded rod to rotate, so that the electrode fixing frame accurately moves to the required position, and then the second telescopic driving piece drives the electrode to be inserted into the skin of the patient. The whole process is high in automation degree, medical staff can accurately insert each electrode into a monitored part only through simple operation, the stability of the inserted electrodes is guaranteed through the design of fixing of the clamping mechanism and the threaded rod, operation of the medical staff is greatly facilitated, and the electrode insertion efficiency is improved.

The invention discloses an animal olfactory behavior training experiment device, relates to the technical field of animal behavioristics experiment devices, can be cooperatively used with an external nerve recording system and a behavior detection analysis system, and aims to explore a correlation mechanism among smell stimulation, behavior response and nerve activity. The device adopts a radial single-starting-point and multi-terminal-point space structure, and is combined with a multi-odor channel system with physical isolation, so that approaching or avoiding behaviors of animals can be accurately induced. The system is integrated with an intelligent closed-loop control module based on an STM32 single-chip microcomputer, and a graded gas path cleaning mechanism is designed and comprises the functions of countercurrent purging, ultraviolet photolysis, electronic nose cleaning verification and the like, so that the purity of odor stimulation and the reliability of the experimental process are ensured. Meanwhile, the device supports TTL synchronization signal output with millisecond-level precision, can be seamlessly connected with commercially available electrophysiology and behavioristics equipment, and is suitable for multi-mode animal behavior training, recording and regulation scenes.

The invention provides a method for predicting intracardiac abnormal electrophysiological distribution based on an electrocardiogram. The method comprises the steps that body surface multi-lead electrocardiogram data are obtained and preprocessed, and high-quality data fragments are obtained; constructing a lead specific multi-expert network, and extracting lead specific spatio-temporal characteristics; designing a lead weight gating module, and dynamically calculating the attention weight of each lead by adopting a multi-layer perceptron to realize sample self-adaptive lead importance evaluation; performing weighted calibration on each lead feature by using the attention weight, and inputting the reweighted features into a feature fusion and semantic enhancement network to obtain a global feature vector; end-to-end training is completed, and predicted values of the intracardiac abnormal electrophysiology distribution in all the anatomical areas are output. Through lead specific modeling and cross-lead interaction fusion, intracardiac abnormal electrophysiological distribution prediction is achieved, and a noninvasive auxiliary tool is provided for preoperative evaluation and personalized treatment scheme formulation of cardiovascular diseases such as arrhythmia.

To provide an image-guided variable spot light stimulation electrophysiology device applicable to structural / functional imaging and evaluation.SOLUTION: To provide an application of a device for performing image-guided functional assessment based on variable spot light stimulation of a light-activated biological sample to determine changes in functional health during disease progression and treatment. More specifically, the invention relates to the application of the device in the diagnosis of vision and neurological disorders.SELECTED DRAWING: Figure 1

The invention discloses a construction method and application of a spontaneous atrial fibrillation mouse model, and belongs to the technical field of atrial fibrillation animal models. According to the construction method, a whole-body DYNLT1 gene knockout mouse is constructed by using technologies such as gene editing and the like, the DYNLT1 gene knockout mouse is systematically evaluated through methods such as body surface electrocardiogram, echocardiography and histopathologic examination, and the DYNLT1 gene knockout mouse shows typical characteristics of atrial fibrillation in the aspects of body surface electrophysiology, atrial structure remodeling and the like. And in the molecular level, atrial muscle cell apoptosis is increased, gap junction protein expression is reduced, and inflammatory factor level is increased, so that the model is confirmed to be a spontaneous atrial fibrillation mouse model. In addition, the model shows a rapid drug reaction to the atrial fibrillation cardioversion drugs, such as amiodarone and propafenone, and has the potential for screening the atrial fibrillation drugs. The animal model provides a new pathological model for atrial fibrillation mechanism research and drug screening, and has important scientific research and clinical application values.

A catheter system for use with a catheter with a distal assembly supporting a plurality of electrodes adapted to sense electrical signal in heart tissue and a force sensor configured to generate first contact signals representative of a contact force acting on the distal assembly. The system includes an ablation power generator configured to energize the plurality of electrodes, an impedance circuitry configured to generate second contact signals representative of the electrodes in contact with tissue, a processor configured to receive the first and second contact signals and generate switch signals in response thereto, and a switch circuitry configured to connect in response to the switch signals solely selected electrodes in contact with tissue to the ablation power generator in forming one or more composite electrodes.

An electrophysiology catheter constructed with assembly and wiring of ring electrodes using spacer rings of electrically-nonconductive material, whose length is predetermined / premeasured, includes a distal section with at least one spine having two electrodes, and a spacer member therebetween, wherein the spacer member configured to provide a separation gap between the two electrodes. The separation gap may span in an axial direction and / or in a circumferential direction. The spacer member may be configured generally as a ring with a center axial opening configured to receive the spine therethrough. The spacer member may include an axial extension providing a first separation gap between a first pair of electrodes in a circumferential direction, and a circumferential providing a second separation gap between a second pair of electrodes in an axial direction

The invention discloses an implantable pacemaker electrocardio remote program control device and a method thereof. The method comprises the steps that a preset medical database is inquired according to identity information of a user, a heart health parameter evaluation model is obtained through training, real-time data of the user and a pacemaker are obtained and processed through the model, heart health expected evaluation parameters are obtained, processing is conducted according to the real-time data of the user in combination with heart electrophysiology standard parameter data, and a heart health evaluation result is obtained. Heart health real-time evaluation parameters are obtained through calculation; heart health degree deviation rates are obtained through processing in combination with heart health expected evaluation parameters; heart health comprehensive evaluation parameters are obtained through further processing; program control is carried out through threshold value comparison, and heart electrophysiological conditioning parameter data are obtained; processing to obtain an electrophysiological index conditioning deviation ratio, carrying out weighted summation processing by combining the electrophysiological index conditioning deviation ratio to obtain program control actual effect parameters, and finally carrying out threshold comparison to determine the program control actual effect; therefore, remote intelligent electrocardio program control of the implantable pacemaker is realized.

1. Name of the designed product: Scientific camera (GLORIA 4.2 Plus). 2. Use of the designed product: The designed product is used for microimaging, for capturing biophoton correlation fluorescence spectroscopy, for direct imaging in high-energy physics, for recording astronomical phenomena such as solar physics, orbit tracking, etc. in experiments in cell biology and electrophysiology. 3. Design points of the designed product: in shape. 4. Picture or photograph best indicating the design points: perspective view.

The invention belongs to the technical field of medical instruments, and particularly discloses a lead-free electrophysiological pacemaker device for cardiology department, which comprises a pacemaker main body, one end of the pacemaker main body is provided with an adjusting mechanism, one end of the adjusting mechanism is provided with a pasting mechanism, the adjusting mechanism comprises a connecting frame fixedly arranged at one end of the pacemaker main body, and the connecting frame is fixedly connected with the pacemaker main body. A connecting block is movably arranged on the inner side of the connecting frame, a supporting block is fixedly arranged at one end of the connecting block, a limiting ring is fixedly arranged at the other end of the supporting block, a limiting block is fixedly arranged on the inner wall of the inner side of the limiting ring, and a limiting shaft is movably arranged on the inner side of the limiting ring. Through cooperation of the adjusting mechanism and the pasting mechanism, the pacemaker body can be conveniently pasted to the chest of a patient, winding of adhesive tape is reduced, and the whole device is easy to operate.