175 results about "Electro physiology" patented technology

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 invention discloses an electrophysiological signal fusion method and device, relates to the technical field of biomedicine, and mainly aims to solve the problem of low cardiac imaging evaluation accuracy caused by poor effectiveness of existing electrophysiological signal fusion. The method includes the steps that electrophysiological signals obtained after cardiac organs are collected and subjected to active magnetic field compensation and passive magnetic field compensation are obtained, and active magnetic field compensation signals of active magnetic field compensation are completed by controlling a main control magnetic field source based on a deep neural network model; a passive magnetic field compensation signal of the passive magnetic field compensation is completed based on residual magnetic field data modeling; screening effective signals from the electrophysiological signals, and performing inversion reconstruction on the effective signals to obtain current density distribution; cross-modal fusion is conducted on the electrophysiological signals, the current density distribution and the electrocardiosignals through a deep learning model after model training is completed, a signal fusion result is obtained, and the deep learning model is trained based on Maxwell constraints.

A device and system for real-time visualization of the electrophysiologic activity of a brain, particularly at the cortical surface. The neural device can acquire, process, and display high-spatiotemporal-resolution electrophysiologic data in real-time across entire electrode arrays spanning many thousands of electrodes over identified anatomic regions. The system is compatible with thin-film cortical surface electrodes that record from neural tissues without damaging those tissues. The system can be used to guide diagnostic and therapeutic actions with high precision, and also provides the basis for a brain-computer interface.

A medical device is configured to sense one or more electrophysiological signals including a distal vector signal sensed using a distal electrode of a medical electrical lead when the medical electrical lead is connected to the medical device. Based at least on the distal vector signal, the medical device may detect a migration of a medical electrical lead carrying the distal electrode and generate an output in response to detecting the migration of the medical electrical lead.

The invention provides an electrocardio physiological signal feature extraction method for heart conduction block classification, and belongs to the technical field of electrocardio physiological signals. 12-lead electrocardiosignals and auxiliary signals of a patient are collected, a wave equation is established through a water-wave-imitating interference multi-signal fusion algorithm, and a multi-lead signal interference mode is simulated; the method comprises the following steps: extracting time domain characteristic parameters including a PR interval, a QRS wave width, a QT interval and the like from a fusion signal, and calculating frequency domain characteristic parameters including power density distribution and a heart rate variability index; nonlinear dynamic characteristic parameters including a sample entropy value, a fractal dimension and the like are extracted, the conduction block type is judged according to the PR interval length and a QRS wave falling mode, and the technical problem that a weak heart conduction block characteristic signal cannot be accurately recognized through single-lead electrocardio analysis is solved.

The invention discloses a three-dimensional heart chip device. The device comprises a pneumatic control layer, a flexible functional film layer and a microfluidic culture layer, wherein the flexible functional film layer is integrated with a stretchable microelectrode array with a snakelike structure, and the microfluidic culture layer is arranged on the flexible functional film layer; wherein the pneumatic control layer is used for driving the flexible functional film layer to generate periodic deformation and applying mechanical tensile strain to cardiac muscle tissues in the microfluidic culture layer, and meanwhile, the stretchable microelectrode array of the snake-shaped structure synchronously deforms along with the flexible functional film layer and keeps conformal electric contact with the cardiac muscle tissues, so that the mechanical tensile strain is applied to the cardiac muscle tissues in the microfluidic culture layer. The electrophysiological signals are monitored in the dynamic mechanical stretching process. The technical problem that in the prior art, stable electrophysiological monitoring cannot be carried out while dynamic mechanical stretching is applied is solved, physiologically-related mechanical stimulation can be applied to three-dimensional cardiac muscle tissue to promote maturity of the three-dimensional cardiac muscle tissue, and long-term and stable in-situ electrophysiological signal monitoring is achieved in the process; and a more accurate in-vitro model is provided for drug screening and disease research.

This invention discloses a breathable, conductive hydrogel electrode, its preparation method, and its applications. The breathable, conductive hydrogel electrode comprises a porous fiber support structure and a hydrogel conductive network. The porous fiber support structure has a three-dimensional porous structure formed by interwoven porous fibers, each fiber possessing a three-dimensional interconnected channel structure formed by interconnected pores distributed on and within the porous fibers. The hydrogel conductive network is distributed on the surface and within the porous fiber support structure, forming a continuous ion conduction path within the electrode. The breathable, conductive hydrogel electrode provided by this invention has advantages such as high breathability, self-humidification, low impedance, and breathability, achieving high-fidelity, long-term acquisition of physiological signals such as electroencephalograms (EEG), electrocardiograms (ECG), and electromyograms (EMG). It can be widely used in electrophysiological signal monitoring, smart wearables, sleep analysis, and human-computer interaction.

The invention discloses a positioning and delimiting method and system for a cortex pathological focus based on an intracranial electroencephalogram signal. The method comprises the following steps: constructing an individualized three-dimensional navigation model; obtaining an original intracranial electroencephalogram signal; generating a plurality of representative segments according to the original intracranial electroencephalogram signals; analyzing the original intracranial electroencephalogram signal and the plurality of representative segments so as to obtain a network analysis core index; generating a fusion type three-dimensional brain model according to the network analysis core index and the individualized three-dimensional navigation model; generating a space-time three-dimensional electroencephalogram model and an electrophysiology functional area distribution diagram according to the fused three-dimensional brain model and the network analysis core indexes; and according to the space-time three-dimensional electroencephalogram model and the electrophysiology functional area distribution map, generating accurate electrophysiology positioning and delimiting information of the cortical pathological focus. According to the invention, accurate electrophysiological delimitation of intra-operative cortical pathological lesions (glioma, hemangioma, focal cortical dysplasia and the like) is realized.

A system includes an interface and a processor. The interface is configured to receive multiple electrophysiological (EP) signals from a tissue area along an ablation curve inside a cardiac chamber of a heart of a patient. The processor is configured to (i) generate local conduction vectors (LCVs) for the area based on the multiple EP signals, (ii) estimate a level of change between sets of LCVs along the ablation curve within the tissue area, and (iii) based on the level of change, identify a presence of a conduction gap in the ablation curve.#

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.

The invention discloses a hydrogel-based non-invasive brain-computer interface electrode with non-uniform hardness and a preparation method of the hydrogel-based non-invasive brain-computer interface electrode, relates to the technical field of flexible electronic materials and devices, and can be used for data acquisition of electroencephalogram equipment and other flexible contact media for acquiring human electrophysiological signals, such as electromyographic signals, electrocardiosignals and the like. The cross-linking times mismatching strategy is adopted, different moduli at the two ends of the hydrogel electrode are achieved, the polyvinyl alcohol solution and the sodium alginate solution are directly mixed, freezing and thawing cycles of different times are carried out, and the electrode stability and wearing comfort are greatly improved. The hydrogel reduces the contact impedance through ionic conduction, and the impedance is lower than that of a commercial electrode. The hydrogel prepared on the basis of the method can be better prevented from slipping in an electrode clamp of an electroencephalogram cap, and meanwhile more comfortable and more stable contact is provided on an interface making contact with the skin. The process provides a better scheme for a series of human electrophysiological signal acquisition systems such as electroencephalogram signals and the like, and is of great significance to promotion of commercialization of non-invasive brain-computer interfaces.

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

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.

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.

The present application relates to the field of electrophysiology, and particularly relates to an ablation state evaluation system. The system comprises an impedance acquisition device and a control unit. The impedance acquisition device is configured to acquire impedance information of tissue at an ablation site in real time before and after energy delivery at different frequencies. The control unit is configured to calculate a frequency response index based on the received impedance information, obtain an energy delivery difference index at a current position, and obtain an energy delivery difference index of an ablation path in combination with a spatial position of an energy delivery electrode. The impedance information of tissue at the ablation site before and after energy delivery is acquired in real time at different frequencies. The frequency response index of tissue at the ablation site before and after energy delivery is calculated based on the impedance information, an energy delivery difference index at a current position is obtained, and an energy delivery difference index of an ablation path is obtained in combination with a spatial position of an energy delivery electrode. The present application realizes rapid evaluation of the effectiveness of energy delivery on an ablation path during an ablation process.

The application discloses a multi-modal deep learning source tracing method and system combining magnetoencephalogram and electroencephalogram, relates to the field of artificial intelligence and neuroimaging technology, and inputs real magnetoencephalogram signals and electroencephalogram signals into a source tracing model after preprocessing, predicts the probability of the occurrence of corresponding regional sources, combines an imported source partition distance matrix, and obtains a final source tracing result; the training process of the source tracing model is as follows: a generative adversarial network is constructed to generate a multi-modal neuroelectrophysiological data set; the multi-modal neuroelectrophysiological data set is input into a double-branch structure residual network to perform stage hierarchical extraction and decoupling on the magnetoencephalogram signals and the electroencephalogram signals respectively; a multi-scale convolution module is used to extract features at different stages, the extracted features are input into a classifier after being fused, and a loss function is defined to update trainable parameters of the source tracing model; and the source tracing method improves the accuracy and generalization ability of source positioning.

The invention relates to a spine intervertebral dilator which comprises a main support, a fixed supporting arm, a sliding supporting arm, a distraction blade and a control module, a biological impedance sensor array is integrated on the working surface of the distraction blade, and the biological impedance sensor array conducts real-time induction at the moment of touching nerve roots by detecting the electrophysiological characteristic difference of contact tissue; the control module receives impedance data of the biological impedance sensor array in real time, and when the biological impedance sensor array detects an impedance threshold value, the self-locking alarm module is triggered immediately and is self-locked; according to the spine intervertebral dilator, tissue electrophysiological characteristic differences are detected in real time through the integrated biological impedance sensor array, accurate recognition of nervous tissues is achieved in combination with multi-sensor fusion and a deep learning algorithm, a self-locking mechanism is triggered immediately when nerve roots are touched, and the spine intervertebral dilator is used for distraction of the nerve roots. The device has the advantages that nervous tissue is accurately recognized, real-time self-locking protection is achieved, and the risk of nerve injury in the operation is reduced.

The invention discloses a row-column addressing area array flexible ultrasonic transducer integrated with electrocardiogram monitoring and a preparation method thereof.An ultrasonic function unit takes a flexible circuit board as a core carrier, integrates independent piezoelectric array elements, a top flexible electrode layer and a flexible acoustic matching layer which are distributed in rows and columns, and is controlled through a row-column addressing electrode array; and the number of the leads is reduced from N2 to 2N. The electrocardio monitoring unit comprises electrocardio sensing electrodes which are integrated together. The package structure covers the non-functional surface to provide protection. The ultrasonic array and the electrocardio sensing electrode are conformally integrated on the same flexible substrate, so that synchronous and homologous monitoring of mechanical movement and electrophysiological activity of the heart is realized. Due to the flexible design, the transducer can be adaptive to the curved surface of the chest of a human body and tolerate deformation caused by cardiac pulsation and respiration, and the accuracy, stability and comfort in wearable long-term dynamic heart monitoring are remarkably improved.

Techniques are provided that support communications between electrophysiological procedure (EPP) systems during an EPP based on an EPP application programming interface (API). The EPP API specifies parameters and behavior of pull functions and push functions that support exchanging data between EPP systems during an EPP. Each EPP system provides an implementation of at least some of the pull functions and / or the push functions. During an EPP, the EPP systems employ the EPP API to exchange data such as electrocardiograms, arrhythmia source locations, catheter routes, electroanatomical mapping data, and electronic health records. The EPP systems may employ aspects of a trusted execution environment and encryption techniques to help ensure integrity of code and data of the EPP systems, authorization of the EPP systems, and security of communications between the EPP systems.

An electrophysiological medical device includes a catheter, a magnetic positioning system, and a processing unit. The catheter is inserted into the human body. The magnetic positioning system includes a magnetic field generator and a magnetic sensor. The magnetic field generator generates a magnetic field, and the magnetic sensor moves with the catheter to detect first magnetic field information indicating the catheter's position within the body. The processing unit acquires the first magnetic field information from the magnetic positioning system and generates the catheter's original position information based on this information. The processing unit also acquires relevant information from a digital subtraction angiography (DSA) device that causes magnetic interference to the magnetic positioning system, corrects the catheter's original position information based on this information, and obtains and outputs the corrected position information of the catheter. This electrophysiological medical device can specifically address the impact of DSA equipment on the positioning accuracy of the magnetic positioning system, thereby improving positioning accuracy, avoiding the impact of low positioning accuracy on diagnosis and operation, and ultimately improving medical outcomes.

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.

The application relates to an electrophysiological catheter. The electrophysiological catheter comprises a sleeved inner tube and outer tube, the inner tube and the outer tube can move relatively, an electrode assembly connects the inner tube and the outer tube, the electrode assembly comprises: a plurality of groups of matrix groups, the plurality of groups of matrix groups are arranged along the circumference of the inner tube, and the matrix groups connect the inner tube and the outer tube, the matrix groups comprise two or more than two matrixes arranged sequentially along the circumference of the inner tube, the matrixes can be deformed, the matrixes at least comprise connected first segments and second segments, the first segments and the second segments have a first connecting point therebetween, the first connecting points in the same matrix group are connected in contact to form a joint; and an electrode, the electrode is arranged at least at the joint. The electrophysiological catheter provided by the application can improve the stability of the electrode at an ablation position, improve ablation efficiency, and obtain better ablation effect.

The invention relates to a reversible adhesive flexible electrode material based on zinc ion activation, which is characterized in that polydimethylsiloxane is used as a main chain, and functionalization capable of responding to metal ions is realized through sulfydryl-alkene click reaction and subsequent imidazolation modification. The invention also provides a preparation method and application of the electrode material. The elastomer material disclosed by the invention has remarkably enhanced adhesive force, and can be stably attached to the surfaces of soft tissues such as cerebral cortex and spinal cord; under the action of Zn or after a competitive ligand is introduced, the adhesive force is reduced, and mild stripping is realized. The material is simple in preparation process and excellent in biocompatibility, can be used for constructing a large-area flexible electrode, is suitable for acute and chronic nerve electrophysiological signal acquisition, and is particularly suitable for epilepsy lesion positioning and brain function research.

The ultrasonic operation system comprises an ultrasonic power module, a main control module, an electrophysiology monitoring module, an electro-mechanical conversion module and an operation tip, the main control module controls the ultrasonic power module to output driving voltage and driving current so as to drive the electro-mechanical conversion module, and the electrophysiology monitoring module outputs the driving voltage and the driving current while driving the electro-mechanical conversion module. Receiving phase information from the ultrasonic power module and the electromechanical conversion module; the main control module also outputs a control signal to the electrophysiology monitoring module and then receives an electrophysiology feedback signal; and the operation working tip is used for conducting and amplifying the mechanical vibration from the electro-mechanical conversion module, and is used as an electrophysiological signal channel for conducting an electrophysiological monitoring signal to a patient.