675 results about "Electro physiology" patented technology

The invention provides an intelligent rehabilitation training method and system based on artificial intelligence and virtual reality, a user wears an intelligent wearable device to collect multi-modal data such as electroencephalogram, myoelectricity, physiological features and motion signals, the multi-modal data is preprocessed and then input into an artificial intelligence training model, and key features are extracted and fused by using a graph convolutional network and an attention mechanism algorithm. And constructing a digital twinborn model by using the fusion features, performing real-time dynamic mapping and predictive simulation, and generating a customized training scheme by means of a reinforcement learning algorithm in combination with a rehabilitation target and a physical state of the user. A user is trained in the virtual reality interaction model, the system monitors actions and physiological states in real time, the digital twin model synchronously acts, and the scene is dynamically adjusted. After training, the rehabilitation effect is evaluated according to the physiological indexes, the motion data and the twinning optimization analysis result, and an optimization training scheme and a digital twinning model are fed back. Precision, individuation and intelligentization of rehabilitation training are achieved, and the training effect and quality are improved.

A system for determining electrophysiological data comprising an electronic control unit configured to acquire electrophysiology signals from a plurality of electrodes (130) of one or more catheters, select at least one clique of electrodes from the plurality of electrodes (136) to determine a plurality of local E field data points, determine the location and orientation of the plurality of electrodes, process the electrophysiology signals from the at least one clique from a full set of bipole subcliques to derive the local E field data points associated with the at least one clique of electrodes, derive at least one orientation independent signal from the at least one clique of electrodes (138) from the information content corresponding to weighted parts of electrogram signals, and display or output catheter orientation independent electrophysiologic information to a user or process.

The invention provides a heart multi-mode digital twinning simulation method and system, electronic equipment and a medium, and belongs to the technical field of digital twinning. The method comprises the following steps: S1, collecting multi-modal data of a heart; s2, preprocessing the acquired multi-modal data to obtain heart digital data; s3, based on the heart digital data, constructing a multi-modal digital twinborn model of the heart and optimizing the multi-modal digital twinborn model; s4, performing real-time simulation on the electrophysiological activity of the heart by using the optimized multi-modal digital twin model and using a Runge-Kutta method in combination with a PSO (Particle Swarm Optimization) algorithm; s5, based on the optimized multi-mode digital twinborn model and the simulation result, simulation and planning of virtual cardiac surgical treatment are carried out; and S6, dynamically evaluating the multi-modal digital twin model, and monitoring the state change of the heart in real time. According to the heart multi-mode digital twinborn simulation method and system, the electronic equipment and the medium, efficient simulation and real-time monitoring of the heart state can be achieved.

The invention discloses an electrophysiology and hemodynamics multi-mode intelligent wearable system and a data evaluation method, and belongs to the technical field of biomedical engineering, the system comprises an optical module, a flexible stretchable electric signal module and a central module; the optical module is used for collecting hemodynamic signals including an oxyhemoglobin change signal, a deoxygenated hemoglobin change signal and a pulse wave signal by combining a near-infrared light signal with hemodynamics; the flexible stretchable electric signal module collects electric signals, including electroencephalogram signals, electromyographic signals, electrocardiosignals and electro-oculogram signals, of all parts through electrodes; the central module is used for digitalizing and preprocessing the hemodynamic signal and the electric signal of each part, fusing multi-modal data, evaluating data quality and predicting a dominant external event influencing the data quality; and meanwhile, data quality and dominant external events are output to the terminal to feed back and adjust acquisition parameters of the optical module and the flexible stretchable electric signal module, so that the effectiveness and practicability of monitoring are remarkably improved.

The present disclosure provides a method and system for analyzing unipolar electrophysiological (EP) signals acquired by a multi-electrode catheter placed in a ventricle of a patient's heart. The method includes receiving unipolar EP signals, extracting unipolar far-field signals from the unipolar EP signals, and analyzing the extracted unipolar far-field signals to estimate the distribution of scar regions across a thickness of wall tissue of the ventricle. Using the estimated distribution, a unipolar far-field EP map showing the scar regions is generated. The method further includes displaying the unipolar far-field EP map including the scar regions to a user. The system comprises a display device and a processor configured to perform the steps of the method.

The present invention discloses an electrophysiological catheter having a distal microelectrode assembly, the distal microelectrode assembly having a covered ridge carrying a plurality of microelectrodes. The microelectrode assembly includes a first ridge radiating away from the longitudinal axis and a second ridge adjacent to the first ridge and radiating away from the longitudinal axis, the first ridge having a plurality of first microelectrodes disposed thereon. The second ridge has a plurality of second microelectrodes disposed thereon such that a first virtual circle intersecting one of the plurality of first microelectrodes does not intersect any of the second microelectrodes.

The present invention discloses an electrophysiology catheter having a distal electrode assembly having a covered ridge carrying a plurality of microelectrodes. The positions of the microelectrodes on each ridge are staggered relative to the microelectrodes on adjacent ridges to minimize the risk of electrodes on adjacent ridges touching each other during use of the catheter. The staggered electrode configuration provides a larger effective contact surface for the distal electrode assembly because the effective concentric electrode array is increased or at least doubled.

Aspects of the present disclosure relate to flexible catheters for electrophysiological mapping and ablation using high-density electrode arrays. These catheters can be used to detect the electrophysiological properties of tissue in contact with the electrodes and perform monopolar and bipolar ablation of the tissue.

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.

A catheter for electrophysiology applications is disclosed herein that includes a tubular member and an end effector. The end effector is coupled to a distal portion of the tubular member which as a cross-section intersecting first and second orthogonal planes extending along a longitudinal axis. The end effector includes first, second, and third loop members and has an unconstrained configuration in which the first and second loop members respectively define planar surfaces which each intersect the first and second orthogonal planes and the third loop member defines a planar surface that intersects only one of the first and second orthogonal planes.

An apparatus includes a catheter assembly and an end effector. The catheter assembly includes an outer sheath with a distal end. The end effector is associated with a distal end of the catheter assembly. The end effector includes a panel assembly with microelectrodes for electrophysiological (EP) mapping. The microelectrodes are configured in a matrix within the panel assembly and provide multiple points of contact with the target tissue for EP mapping. The panel assembly can transition between a first contracted state and a second expanded state. The panel assembly can fit within the outer sheath in the first state. The panel assembly can expand outwardly away from a longitudinal axis defined by the catheter assembly in the second state once exposed distally relative to the distal end of the outer sheath.

Aspects of the present disclosure are directed to intravascular electrophysiology catheters which utilize electrodes on flexible electronic circuit(s) to facilitate reduced assembly complexity and cost. In one example embodiment, a distal tip assembly of an electrophysiology catheter is disclosed. The distal tip assembly including a catheter shaft, flexible circuitry, and a distal tip coupled to a distal end of the catheter shaft. The catheter shaft includes an outer surface with a trench extending into the outer surface, and the flexible circuitry is inserted into the trench and coupled to the catheter shaft. The flexible circuitry includes one or more electrodes configured and arranged to sense electrophysiological characteristics of tissue.

A multi-electrode assembly of the present disclosure includes a plurality of electrodes; and an electrode support member; wherein a portion of the electrode support member is adapted to selectively ablate a tissue in contact therewith, and at least a portion of the electrodes are configured and arranged on the electrode support member to detect electrophysiological characteristics of the tissue. The electrode support member can be constructed of flexible material and shaped to facilitate contact with certain anatomical structures (e.g., linear, loop, spiral, planar array, or basket shapes). Embodiments described enable selective activation of the electrode support member for ablation and selective activation of electrodes for electrophysiological mapping and / or ablation.

The invention relates to the field of biomedicine, and particularly discloses an epileptic focus artificial intelligence positioning system and method based on magnetic resonance and electroencephalography, and the system comprises the following contents: a data collection module is used for synchronously collecting T1 weighted magnetic resonance images and electroencephalogram signals of scalp; the data preprocessing module is used for performing brain tissue segmentation on the magnetic resonance image, obtaining structural features of each brain region, constructing vectors including whole brain structural features, and obtaining magnetic resonance structural feature vectors; artifacts of the electroencephalogram signals are removed, electroencephalogram features of all brain areas are extracted through time-frequency analysis, a matrix containing whole electroencephalogram physiological features is constructed, and the electrophysiological features are obtained; the cross-modal confidence coefficient dynamic evaluation module is used for establishing a bidirectional constraint rule to perform confidence coefficient calibration on the magnetic resonance structure feature vector and the electrophysiological feature; a positioning model construction and training module; a positioning result output module; according to the technical scheme, noise can be reduced during magnetic resonance and electroencephalogram fusion, and the epileptic focus positioning precision is high.

The invention provides a neuromuscular multi-element coupled organoid micro-fluidic chip, a device and a method. Relates to the technical field of organoid micro-fluidic chips. A first culture chamber, a second culture chamber and a third culture chamber are arranged in a culture layer of the chip; the first culture room is used for culturing nerve cells; the second culture room is used for culturing muscle cells; a microfluidic channel for communicating the first culture chamber with the second culture chamber is arranged between the first culture chamber and the second culture chamber; the third culture room is arranged on the micro-fluidic channel and is used for culturing a neuromuscular joint formed by convergence of axons of nerve cells and muscle cells; a microelectrode array plate is arranged in the circuit layer and is used for performing electrical stimulation and electrophysiological function detection on neuromuscular cells. Through the chip, co-culture of in-vitro nerves and muscle organs can be realized, a complex interaction relationship in a neuromuscular system can be accurately simulated, and the chip can also be used for constructing various neuromuscular related disease models.

The multi-electrode assembly of the present disclosure includes a plurality of electrodes and an electrode support member, a portion of which is adapted to selectively ablate tissue in contact therewith, and at least a portion of the electrodes are disposed on the electrode support member and configured to detect electrophysiological properties of the tissue. The electrode support member may be constructed of a flexible material and may be shaped to easily contact a particular anatomical structure (e.g., a straight shape, a loop shape, a spiral shape, a planar array shape, or a basket shape). The described embodiments allow for selective actuation of the electrode support member for ablation and selective actuation of the electrodes for electrophysiological mapping and / or ablation.

Systems and methods for providing recommended doses and instructions for pharmaceutical treatments, and more particularly systems and methods for measuring physiological and / or electrophysiological signals from a subject and providing recommended doses and instructions of pharmaceuticals based at least in part on the measured signals are described. Further, the recommended doses and instructions are based at least in part on a subject's disease(s), disorder(s), or injuries and / or symptom(s) of such, and / or side effects of medications or treatments the subject is receiving. The recommended doses and instructions are personally tailored to the subject to precisely and personally address the subject's needs, and may be based in part on correlation with database(s) comprising historical data of the subject and / or other subjects to treat the subject's movement disorders, injuries to the body or brain, cognitive diseases and disorders, sleep diseases and disorders, chronic pain, or other conditions.

The utility model relates to the technical field of medical equipment, in particular to an electric coagulation forceps device with a nerve electrophysiology monitoring function and a function gating circuit, and the gating circuit comprises a main control module, a gating control module, an electrophysiology stimulation module, an electrophysiology monitoring module and an electric coagulation generation module. The main control module is used for receiving a switching signal input by a user and generating a gating enable signal corresponding to the switching signal; and the gating control module is used for generating a working enable signal corresponding to the gating enable signal so as to control at least one of the electrophysiological stimulation module, the electrophysiological monitoring module and the electrocoagulation generation module to work. In the operation process, if a doctor selects the electrophysiological stimulation module, the electrophysiological stimulation module can electrically stimulate nervous tissue according to a working enable signal, so that nerves can transmit an electrophysiological signal sufficient to be monitored; and then the electrophysiology monitoring module carries out intraoperative electrophysiology signal monitoring on the nervous tissue so as to detect whether the nerves are damaged or not.

The invention relates to the technical field of neuroscience and medical treatment, in particular to an individual head model dynamic optimization method and system based on transcranial alternating current stimulation. According to the method, the three-dimensional initial individual head model is partitioned, the parameters are set, the real-time electrical stimulation parameters and the real-time electroencephalogram information of the individual head under the stimulation effect are synchronously obtained, and then the parameters of the initial head model are adjusted according to the real-time data; then, according to the obtained data, simulating and calculating electrophysiological change data of the three-dimensional initial individual head model under the action of initial transcranial alternating current stimulation, and based on a focusing index value and a uniformity index value calculated through the electrophysiological change data, optimizing dynamically-adjusted head model parameters, and finally, calculating a focus index value and a uniformity index value of the three-dimensional initial individual head model under the action of initial transcranial alternating current stimulation. The information entropy difference value obtained through calculation of the optimized head model parameters and the real-time electroencephalogram information is compared with a preset difference threshold value, a clear termination condition is provided for optimization of the head model parameters, and therefore dynamic optimization of the individual head model is achieved.

The invention provides a cognitive function in-vitro simulation method based on a microelectrode array (MEA) and brain organs and application of the cognitive function in-vitro simulation method, and belongs to the crossing field of brain organ in-vitro model construction, neural engineering, brain-like intelligence and the like. In an in-vitro environment, external signal (such as sound) information is converted into electrical stimulation input capable of being perceived by brain organs in an MEA electrical stimulation mode, so that the brain organs gradually learn and identify external signals in repeated electrical stimulation; after elution stimulation for a period of time, the reduction condition of recognition accuracy is observed, namely, the important memory and forgetting process in the cognitive function is simulated. According to the method, the electrophysiological response and the biological mechanism change of the brain organs under external electrical stimulation can be quantitatively evaluated, and a new possibility is provided for exploring the advanced cognitive function by utilizing the brain organs.

Systems and methods for determining a treatment time for treatment zone of a target tissue are disclosed herein. In some embodiments, a system may include a cryoballoon, a mapping array, a catheter, and one or more hardware processors. The hardware processors may generate a pacing signal at the electrodes of the mapping array at the treatment zone and determine a minimum activation energy of a non-target tissue. The processors may activate the cryoballoon at a first time and detect an artifact in the electrical signals collected from the electrodes of the mapping array at a second time. Based on the minimum activation energy of the non-target tissue and the difference between the second time and the first time, the processors may determine an optimal treatment time for the treatment zone of the target tissue.

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 relates to the technical field of medical instruments, and discloses an implantable neural electrode for long-term electrophysiological signal monitoring and a preparation method and application thereof. The neural electrode comprises an upper hydrogel insulation packaging layer, a lower hydrogel insulation packaging layer, an electrode site, a connecting line and a bonding pad, wherein the electrode site, the connecting line and the bonding pad are arranged between the upper hydrogel insulation packaging layer and the lower hydrogel insulation packaging layer, and the electrode site and the bonding pad are connected through the connecting line. The electrode sites, the connecting lines and the bonding pads are made of conductive hydrogel; the upper hydrogel insulation packaging layer and the lower hydrogel insulation packaging layer are made of insulation polymers and hydrogel. The insulating polymer is a plasma surface-modified insulating polymer. The preparation method of the neural electrode is simple and efficient, biotoxic materials are not introduced in the preparation process, good biocompatibility is achieved, continuous monitoring in a living body can be achieved for one year, important application value is achieved for studying signal response and neural circuits of all brain regions, and a beneficial tool is provided for long-term in-vivo monitoring.

The invention relates to the technical field of electrophysiology catheters, in particular to a spherical ablation catheter which comprises a balloon arranged at the head end, a plurality of electrodes are arranged on the balloon, and the balloon comprises a first spherical form and a second spherical form after being expanded; the volume of the second spherical form is greater than that of the first spherical form; the adjacent electrodes are spaced in the first spherical form or the second spherical form; the first spherical form is used for mapping and ablation; the second spherical morphology is used for mapping and ablation. According to the spherical ablation catheter, the balloon is arranged and can be configured into the first spherical form and the second spherical form which are different in size, the multiple electrodes are arranged on the balloon, and therefore the ablation catheter does not need to be replaced, mapping and ablation of different parts can be completed through one spherical ablation catheter which is implanted into a body at a time, and the ablation efficiency is improved. The second spherical form can be used for large-area annular ablation of pulmonary vein isolation, the first spherical form can also be used for point ablation or large-area ablation, and meanwhile precise mapping and high-efficiency ablation are achieved.

The invention provides an atrial fibrillation postoperative recurrence prediction method fusing electrocardiosignals and clinical characteristics. The method comprises the following steps: acquiring data of a patient before an ablation operation, and carrying out resampling, denoising and normalization preprocessing and data segment segmentation on an electrocardiosignal; extracting spatio-temporal features by using a deep network containing a residual convolutional block and a long and short term memory module; screening high-discrimination clinical baseline features through statistical analysis and a machine learning model; extracting time-frequency domain and nonlinear features of short-time heart rate variability; designing a cross-modal attention fusion module to carry out feature adaptive weighted fusion; and outputting a recurrence probability through a multi-layer perceptron based on the fusion features. The method improves the prediction precision through feature complementarity, facilitates the recognition of high-recurrence-risk patients, is suitable for sinus heart rhythm signals or atrial flutter and atrial fibrillation signals, and has a certain application value in the field of cardiovascular precision medical treatment. The method can be popularized to all prediction researches based on the electrophysiological signals.

A catheter includes: (a) a shaft for insertion into a heart of a patient, (b) an expandable distal-end assembly, which is coupled to the shaft and is configured to make contact with tissue of the heart, (c) at least first and second electrocardiogram (ECG) electrodes, which are coupled to an outer surface of the expandable distal-end assembly, and when placed in contact with the tissue, are configured to sense ECG signals in the tissue, and (d) a reference electrode, which is positioned within an inner volume of the distal-end assembly, and in an expanded position of the distal-end assembly, the reference electrode: (i) has no physical contact with the tissue, and (ii) is positioned at a first distance from the first ECG electrode and at a second distance from the second ECG electrode, and the difference between the first and second distances is smaller than a predefined threshold.

The invention discloses a multi-modal deep learning traceability method and system fusing magnetoencephalogram and electroencephalography, and relates to the technical field of artificial intelligence and neuroimage.Real magnetoencephalogram signals and electroencephalography signals are preprocessed and then input into a traceability model, the probability of occurrence of a source in a corresponding area is predicted, and the traceability of the source in the corresponding area is obtained by combining an imported source partition distance matrix. A final traceability result is obtained; the training process of the traceability model is as follows: constructing a generative adversarial network, and generating a multi-modal neural electrophysiological data set; inputting the multi-modal neural electrophysiological data set into a residual network of a double-branch structure, and performing stage hierarchical extraction and decoupling on magnetoencephalogram signals and electroencephalogram signals respectively; extracting features in different stages by using a multi-scale convolution module, fusing the extracted features, inputting the fused features into a classifier, defining a loss function, and updating trainable parameters of the traceability model; the traceability method improves the accuracy and generalization ability of traceability positioning.

The invention discloses a method and a related device for closed-loop optimization of a lower limb motor imagery experiment normal form through dynamic mind training, and relates to the field of rehabilitation medicines.The method comprises the steps that electroencephalogram signals of a testee when the testee executes a mind fusion lower limb motor imagery task are collected and preprocessed, and preprocessed electroencephalogram signal data are obtained; based on a dynamic feature extraction technology of a sliding window, calculating electrophysiological indexes in real time; performing weighted fusion on the motor imagery definition, the concentration degree and the correctness degree through predefined weights to generate a comprehensive state score; on the basis of the comprehensive state score, dynamically adjusting a normal feeling and task stimulation parameter applied to the testee; based on the collected electroencephalogram signals, extracting optimal perception motion rhythm and cross-frequency coupling characteristics; and inputting into the trained two-dimensional time convolution network decoding model to obtain the lower limb motor imagery intention of the testee. According to the method, the evoked rate and the stability of the electroencephalogram characteristics of the stroke patient in the lower limb motor imagery task can be improved.

The invention relates to the field of electrophysiological catheters, in particular to a mapping and ablation system capable of detecting injury depth, which is characterized in that a tail end functional area is arranged at the far end of a catheter, and an electrode, a positioning sensor and an optical probe are arranged in the tail end functional area; the electrode is used for mapping and ablation; the positioning sensor comprises a coil structure; the optical probe is used for performing optical scanning on the contacted tissue. The ablation unit is communicated with the electrode and provides ablation energy for the electrode; the positioning unit is communicated with the catheter and is used for displaying the position and form of the tail end functional area and recognizing the deviation and rotation direction of the tail end functional area; the electrophysiology mapping unit is communicated with the electrode and acquires an electrophysiology signal through the electrode; the optical detection unit is connected with the optical probe through an optical fiber and used for optical coherence tomography; the impedance detection unit is communicated with the electrodes, impedance information of surrounding tissue under different frequencies is collected through the electrodes, and then the frequency response coefficient of the position where each electrode is located is solved and used for recognizing whether the electrodes make contact with the tissue or not.

The invention relates to the field of medical electrophysiology mapping and ablation catheters, in particular to a net-shaped head end with a variable shape and an electrode catheter of the net-shaped head end. The net-shaped head end is formed by combining adjacent electrode arms at a far-end combining section or a near-end combining section, arranging a near-end electrode and a far-end electrode at the combining position of the adjacent electrode arms, and conducting electrode connection on the near-end electrode and the far-end electrode. The near-end electrode and the far-end electrode are distributed in a staggered mode in space, the net-shaped head end generates overall deformation in a stress state, the net-shaped head end can be used in different positions in a shape-adaptive mode by changing the shape of the net-shaped head end structure, and when a flower-shaped structure is formed at the net-shaped head end, the near-end electrode and the far-end electrode can complement each other to form a complete and uniform ablation band. When the net-shaped head end shrinks, the sheath entering size is controlled to the maximum extent; according to the electrode catheter, the net-shaped head end is adopted, the electrode catheter can be adapted to electrophysiological signal collection or ablation at different positions, the integrity of an ablation band can be ensured, the recurrence probability of atrial fibrillation can be reduced, and the hemolysis risk can be reduced.