87 results about "Nerve activity" patented technology

The invention provides a nerve electrical stimulation method, device and system based on electroencephalogram signals, and the method comprises the steps: obtaining pain related features in real time, the pain related features comprising electroencephalogram index features and heart rate variability features; generating a comprehensive pain score value in real time based on the pain related characteristics, and generating an electrical stimulation parameter in real time based on a target difference value between the comprehensive pain score value and the baseline score value; the vagus nerve of the patient is electrically stimulated based on the electrical stimulation parameters. The problem that in the prior art, due to immobilization of electrical stimulation parameters, dynamic adjustment cannot be conducted according to real-time neural activity of a patient, and therefore the treatment effect is affected is solved.

The invention discloses a transcranial electrical stimulation physiotherapy system based on EEG-fNIRS feedback. The transcranial electrical stimulation physiotherapy system comprises an EEG-fNIRS signal acquisition and processing module, a relaxation degree evaluation module, a transcranial electrical stimulation control module and a transcranial electrical stimulation execution module. The transcranial electrical stimulation physiotherapy system provided by the invention can accurately extract spatial and temporal characteristics related to relaxation degree, constructs a personalized brain function network model, accurately locates stimulation sites and neural activity modes based on the characteristic that EEG and fNIRS data complement each other in terms of advantages in terms of time resolution and spatial resolution, and improves the rehabilitation effect of the brain function network model on the basis of the characteristic that the advantages of the EEG and fNIRS data complement each other in terms of time resolution and spatial resolution. The method realizes personalized dynamic adjustment of the relaxation degree, and is suitable for multiple fields of education, medical treatment, rehabilitation and the like.

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 invention discloses an AI intelligent regulation and control mental disease treatment system based on multi-mode microwaves, and the system comprises a data collection module which collects multi-mode microwave data, and the multi-mode microwave data comprises basic microwave data, neural pathway activity state data and personalized physiological data; the optimization regulation and control module is used for extracting optimal regulation and control data in the multi-modal microwave data through an improved deep convolutional neural network; the dynamic strategy module is used for collecting historical microwave stimulation data, and learning and optimizing a nonlinear relationship between regulation and control data and microwave stimulation parameters through a hybrid transfer learning model to obtain optimal microwave stimulation parameters for specific brain region neural activities; and the treatment execution module is used for controlling microwave emission equipment based on the optimal microwave stimulation parameters, emitting microwaves to the corresponding brain region of the patient for treatment, generating a three-dimensional visual report of the treatment progress, dynamically adjusting model parameters, realizing real-time optimization of treatment parameters and solving the limitation of static parameters in a traditional method.

Stimulation of neural activity in a nerve supplying the spleen, wherein the nerve is associated with a neurovascular bundle, can modulate pro- and anti-inflammatory molecules levels, thereby reducing inflammation and providing ways of treating inflammatory disorders. The invention provides improved ways of treating inflammatory disorders which minimize off-target effects.

The invention provides a cognitive function evaluation method based on neurovascular coupling analysis. The method comprises a signal preprocessing step, a signal processing step, a feature extraction step and a coupling coefficient calculation step. A new normal form of cognitive evaluation is constructed from nerve-blood vessel coupling and cross-system cooperation dimensions, and accurate description of a cognitive state is realized through real-time quantification of a dynamic cooperation effect of brain nerve activity (EEG) and blood flow regulation (CBP variability) and establishment of an association relationship between a dynamic cooperation index and cognitive ability (alertness, reaction speed and memory). And a new objective basis is provided for the fields of plateau medicine, intelligent health, neurological and mental disease diagnosis and treatment and the like.

The invention relates to the technical field of electroencephalogram characteristic index calculation, and discloses a chronic pain electroencephalogram index calculation algorithm, which comprises a data preprocessing stage, a multi-layer perceptron architecture design, a model training stage, a model evaluation stage and a multi-scale information fusion stage. The data preprocessing stage further comprises normalization and data division; the architecture design of the multi-layer sensor comprises an input layer, a hidden layer and an output layer; the model training stage comprises a loss function and optimization algorithm, forward propagation, loss calculation, back propagation and parameter updating one-set repeated training; in the model evaluation stage, evaluation needs to be carried out on a test set, and hyper-parameters are adjusted. According to the method, the connection strength or the activity level of different regions of the brain under different threshold values is reflected, the association between the brain nerve activity and the chronic pain can be described more comprehensively by fusing the connection strength or the activity level, the pain related mode hidden in the association can be mined, the limitation of single feature analysis is avoided, and comprehensive evaluation of the chronic pain is facilitated.

The invention discloses a cognitive function intervention method and system based on multi-mode space-time dynamic decoding biological feedback, and belongs to the technical field of artificial intelligence algorithms and noninvasive nerve regulation. According to the method, brain nerve activity signals and autonomic nerve cooperation signals are captured in real time, the signals are subjected to standardization processing by adopting a multi-modal signal cascade preprocessing algorithm, and cognitive feature extraction of fusion signals and dynamic distribution of multi-modal signal feature weights are realized in combination with a circulating double-flow self-encoding model; and thus, the individual cognitive state is accurately evaluated. And based on the evaluated cognitive state, dynamically identifying and quantifying into self-perceived visual and auditory stimuli, and constructing an iterative closed-loop feedback cognitive nerve plasticity regulation loop to realize individualized targeted regulation of the cognitive function. The method is suitable for non-invasive individualized intervention of the cognitive function of the Parkinson's disease patient, and has remarkable clinical application potential and social value.

Described herein are systems and methods for applying extremely low duty-cycle stimulation sufficient to treat chronic inflammation using feedback to adjust the off times between stimulations. In particular, the feedback include an assessment of the level of inflammation by the patient or the healthcare provider, or by measure the level of an inflammatory analyte or biomarker, or by detecting nerve activity correlated with inflammation.

The invention relates to the technical field of magnetic stimulation therapy, in particular to a magnetic convulsion therapy coulometric titration method and system based on individualized epilepsy prediction.Based on epilepsy prediction, intervention time periods are divided, electroencephalogram is collected to extract the phase change trend, and magnetic stimulation applying modes consistent in space direction are matched and screened; stimulation is executed, nerve electrical activity evolution is monitored, nerve response area distribution is concluded, a time period sequence, a response area form and an application trend are synthesized, a stimulation energy configuration range is divided and limited, and a magnetic convulsion treatment electricity titration result is formed. According to the method, epilepsy risks are described in a staged mode, time sequence correlation is established, intervention is endowed with dynamic distinguishing capacity, the stimulation direction is restrained according to phase propagation characteristics, the stimulation path is kept consistent with the dominant direction of neural activity, the energy range is limited in combination with neural response distribution, energy and state mapping is established, and the intervention matching degree and regulation controllability are improved; the invalid stimulation probability is reduced, and the treatment adaptation capability is enhanced.

The present application relates to a fluorescence sensing composite deep electrode, belonging to the field of medical devices, and comprising: a tube body, on the outer part of which several annular electrodes are sequentially arranged along the axial direction, each annular electrode is connected with an electrode wire, and one end of the tube body is a closed end; several optical fiber sensors are also arranged on the tube body, the optical fiber sensors include a detection end and a transmission end, and the detection end is used for detecting the fluorescence generated when a fluorescent indicator acts on metal ions during the neuron activity process; the ends of the electrode wires far away from the annular electrodes and the transmission ends of the optical fiber sensors are led out from the end of the tube body far away from the closed end. The fluorescence sensing composite deep electrode provided by the present application can collect and monitor the electroencephalogram signals, metal ion concentration and distribution in the monitoring area in real time, synchronously and in the same position in the fields of neurosurgery and cerebrospinal nerve function research, and improves the monitoring accuracy of nerve activities and the diagnosis accuracy and efficiency of the lesions of nervous system diseases.

Systems and methods of applying electrical stimulation to achieve sustained relief of chronic pain that comprise a coiled wire percutaneous lead configured for insertion into a portion of a body that is proximal to a region of pain and an electrode formed integrally on the coiled wire percutaneous lead, wherein the electrode is configured to be positioned inside the body and at a therapeutically effective distance from a portion of at least one peripheral nerve that innervates the region of pain. The systems and method may also include an electrical stimulation device operatively coupled to the lead to apply electrical stimulation through the at least one electrode to at least one peripheral nerve that innervates the region of pain, to activate target peripheral nerve fibers while preventing activation of non-target peripheral nerve fibers and avoiding changing or blocking neural activity in off-target peripheral nerve fibers in the at least one peripheral nerve to create comfortable sensations in the region of pain and produce pain relief by modulating central nervous system plasticity associated with the pain.

The invention provides a lower limb rehabilitation evaluation method, system and device based on a brain-computer interface and a medium, and relates to the technical field of rehabilitation medicine and medical electronics. According to a lower limb rehabilitation evaluation technology based on a brain-computer interface, a two-way evaluation system of peripheral muscle form-central nervous activity is constructed through synchronous acquisition of wearable A-type ultrasound and electroencephalogram signals; a-type ultrasound monitors the change of the thickness of the rectus femoris in real time, and electroencephalogram signals analyze the coherence of Alpha / Beta frequency bands, so that functional difference evaluation of a stroke patient in a resting state, a passive motion state and an active motion state with different resistances is realized, the limitation of single subjective scoring of a traditional scale is avoided, and a multi-dimensional quantitative index is provided for rehabilitation evaluation.

The invention relates to the technical field of neutrophile granulocyte separation, in particular to a mouse neutrophile granulocyte separation method which comprises the following steps: (1) anesthetizing and disinfecting a mouse; (2) tissue sampling; (3) tissue digestion; (4) preparing a cell suspension; (5) purifying cells; (6) cell culture; according to the method disclosed by the invention, isoflurane is adopted in the anesthesia disinfection step, so that central nervous activity of mice can be rapidly inhibited, tissue damage caused by stress reaction is avoided, and chemical stimulation can be reduced while body surface microorganisms are cleared through combination of ethanol disinfection and sterile normal saline flushing, and aortic tissues with intact activity are provided for subsequent material taking. In the compound enzyme digestive juice, collagenase I can specifically degrade aortic wall collagenous fibers, trypsin dissociates adhesion connection between cells, neutral protease assists in decomposing elastic fibers, and DNA enzyme I is supplemented to inhibit cell aggregation, so that the contradiction between incomplete digestion and large cell damage of the traditional enzyme juice is effectively solved.

Described herein are systems and methods for applying extremely low duty-cycle stimulation sufficient to treat chronic inflammation using feedback to adjust the off times between stimulations. In particular, the feedback include an assessment of the level of inflammation by the patient or the healthcare provider, or by measure the level of an inflammatory analyte or biomarker, or by detecting nerve activity correlated with inflammation.

The present application provides a mood state monitoring method, device, and storage medium. The method obtains autonomic nervous activity signals from a target individual; the autonomic nervous activity signals include multiple time-segmented autonomic nervous activity signals; extracts target sequences from the multiple time-segmented autonomic nervous activity signals to obtain multiple time-segmented physiological data; and calculates and compares the multiple time-segmented physiological data based on a preset feature space to determine the target individual's mood state. The preset feature space includes a preset stress level assessment feature space, a preset parasympathetic nervous system forced regulation state detection feature space, and a preset mood state assessment feature space. This method enables all-day mood state monitoring of a population, thereby effectively and completely inferring the population's mood state.

Provided are devices, systems, and methods for treating or preventing heart failure or a symptom of heart failure through coordinated nerve activity interruption for one or more target nerves. Devices disclosed herein may comprise a vascular catheter comprising a telescopic needle assembly configured to puncture vascular tissue in contact with the catheter, wherein the needle assembly comprises one or more electrodes configured to deliver electrical energy to a tissue in contact with the one or more electrodes. Methods may include treating or preventing heart failure or a symptom of heart failure by inserting a catheter into a vascular tissue of the subject; guiding the catheter towards the greater splanchnic nerve; piercing the vascular tissue of the subject with a telescopic needle assembly extending outwards from the catheter towards the target nerve; and ablating the target nerve by delivering a stimulation energy to the target nerve with one or more electrodes.

The invention provides an animal multi-dimensional state recognition system and method based on full-cortical neural activity, and the system comprises a stimulation generation module which is used for forming target stimulation under the condition that a stimulation generation instruction is received; the full cortical neuron imaging module is used for collecting full cortical nerve response change data generated by the experimental animal under the condition that the experimental animal receives target stimulation; the electroencephalogram signal acquisition module is used for acquiring an electrophysiological signal generated by an experimental animal under the condition that the experimental animal receives target stimulation; the response behavior detection module is used for collecting a physiological response motion state formed by the experimental animal under the condition that the experimental animal receives the target stimulation; and the synchronous recording and analyzing module is used for synchronously analyzing the whole cerebral cortex nerve response change data, the electrophysiological signal and the physiological response motion state to obtain causal association between the nerve activity and the response behavior of the experimental animal under target stimulation. Multi-dimensional state data corresponding to animal response behaviors are synchronously collected, and a foundation is laid for brain function research and analysis.

The invention provides a creativity psychological assessment method based on artificial intelligence and a reinforcement learning model, and relates to the technical field of creativity psychological assessment. According to the method, the attention entropy value is calculated through the eye movement data, the multi-dimensional feature vector is constructed in combination with standardization processing of the prefrontal lobe Gamma wave band electroencephalogram signals, quantitative characterization of the attention distribution and cranial nerve activity cooperation state is achieved, the one-sidedness of traditional single signal evaluation is broken through, and meanwhile, the method has the advantages of being simple in structure and convenient to operate. A reinforcement learning task decision engine dynamically matches an evaluation task according to a real-time cognitive state, so that a task type is highly matched with individual cognitive features, more real creativity performance is captured, a reinforcement learning model driven by a multi-dimensional reward mechanism is continuously optimized, evaluation not only reflects a surface behavior result, but also improves the performance of the system. And the internal law of the cognitive process can be mined, and a quantitative basis is provided for creativity psychological mechanism research.

The invention relates to the technical field of mental health evaluation, and discloses a physical exercise-based mental health evaluation system and method. The method comprises the following steps: acquiring kinematics data, physiological waveforms and behavior images synchronously recorded by a user in an exercise cycle, and forming a fusion data stream through a time mark alignment technology; extracting motion mode features, nerve activation features reflecting central nervous activity and time sequence change features of facial micro-expressions from the data stream; inputting the features into a pre-constructed psychological state inference model, generating a quantization vector representing a psychological load state, performing comprehensive judgment in combination with a historical baseline file of the user, and outputting a psychological health assessment result; by realizing millisecond-level synchronous fusion of multi-modal data and mining deep time sequence characteristics of neural electrical activities and micro expressions, the method overcomes the limitation of traditional single-modal or non-synchronous data evaluation, and improves the accuracy and objectivity of dynamic monitoring of psychological states.

An intravascular catheter for nerve activity ablation and / or sensing includes one or more needles advanced through supported guide tubes (needle guiding elements) which expand to contact the interior surface of the wall of the renal artery or other vessel of a human body allowing the needles to be advanced though the vessel wall into the extra-luminal tissue including the media, adventitia and periadvential space. The catheter also includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened needles are advanced to penetrate into the vessel wall. Electrodes at the distal ends of the guide tubes allow sensing of nerve activity before and after attempted renal denervation. In a combination embodiment ablative energy or fluid is delivered to ablate nerves outside of the media.

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 present application relates to the technical field of electrochemical devices, and provides an electrochemical device for simulating biological signals and a preparation method thereof.The electrochemical device for simulating biological signals is composed of N double-gate structure units, the correlation between the structure units is realized by forming a common gate between one of the lower gate and the upper gate of each double-gate structure unit and one of the lower gate and the upper gate of each other double-gate structure unit, the mutual influence and restriction between each structure unit are realized, and each double-gate structure unit is changed by adjusting the thickness of the electrolyte layer and other conditions, so that the electrochemical device can present the global regulation and mutual induction of nerve activity.

The invention discloses a nerve and blood vessel coupling model personalized real-time regulation and control method and device based on transcranial direct current stimulation response. According to the device, finite element simulation modeling and large-scale dynamic average field model building are carried out by obtaining multi-modal data (such as T1w, DWI and rs-fMRI) of a patient, and electric field distribution and neuron group activity of tDCS in the brain are simulated. In combination with nerve and blood vessel coupling characteristics, an individualized tDCS real-time regulation and control model is constructed, and stimulation parameters such as current intensity, electrode position and stimulation duration are dynamically adjusted. In the regulation and control process, neural activity and cerebral blood flow changes are monitored in real time, and the stimulation effect is optimized through a closed-loop feedback mechanism. The problems of individual difference, inaccurate real-time feedback and complicated equipment in the existing tDCS regulation and control are solved, the dependence on high-end equipment is reduced, the operation process is simplified, the accuracy and effectiveness of a personalized regulation and control scheme are improved, and the method is suitable for wide application in a clinical environment.

Systems and methods for treating Inflammatory Bowel Disease (IBD) using neuromodulation are described herein. For example, IBD can be treated by delivering an electrical signal to one or more sacral nerves of a patient via a signal delivery device positioned proximate one or more of the patient's sacral nerves. In some embodiments, the electrical signal can modulate neural activity in the patient, which may in turn reduce inflammation in the patient by altering an imbalance between the patient's sympathetic nervous system and parasympathetic nervous system, and / or modifying a threshold for an inflammatory response in the gastrointestinal system.

The application provides a kind of nanorobot and its control method, carry the modified reverse sodium-potassium pump, can long time, continuously use the ion concentration change of organism itself to realize the regulation of nerve activity, can be widely applied to the intervention of a variety of nervous system excitation / inhibition imbalance related neurological diseases;Through the recognition of specific neuron's axon hillock initial segment by the potential receptor and field driving element, more accurate targeted regulation can be achieved;Through the characteristics of precise control of movement of ultrasonic wave of ultrasonic wave driving element, combined with imaging equipment, brain region targeted movement of nanorobot is realized, the nanorobot and its control method provided by the application improve the existing nanorobot, through the modified functional element, to realize the target brain region targeted guidance, neuron recognition and long-term regulation.

The embodiment of the invention provides an intelligent detection system and device based on ventricular assist equipment, and relates to the technical field of medical instruments.The system comprises the ventricular assist equipment and detection equipment, and the ventricular assist equipment is implanted into the heart of a patient in a percutaneous intervention mode and assists the heart of the patient in blood pumping; the detection device is used for detecting physiological nerve parameters of a patient during operation of the ventricular assist device, and the detection device executes the following intelligent detection method: acquiring a physical measurement signal at the current moment; mapping the physical measurement signal into a target discharge frequency of the baroreceptor according to a preset nonlinear mapping relation; and based on the target discharge frequency, adopting a physiological correlation model to predict the target neural activity of the patient. By applying the scheme provided by the embodiment, the autonomic nerve regulation state of the patient can be accurately and continuously evaluated.

To enable users to easily identify potential placement locations for intravascular electrodes that are close to the source of the nerve activity being measured. [Solution] The medical image processing apparatus according to the embodiment comprises a vessel diameter image generation unit, a distance image generation unit, a device implantation position candidate identification unit, and a display control unit. The vessel diameter image generation unit generates a vessel diameter image representing the size of the vessel diameter inside the brain from a cerebral vessel image taken of the blood vessels of the brain. The distance image generation unit identifies a target position corresponding to the neural activity that is the target of measurement inside the brain, based on an image relating to at least one of the functional areas of the brain and the arrangement of nerves inside the brain, and generates a distance image showing the distance to the identified target position. The device implantation position candidate identification unit identifies a position on the vessel where both the vessel diameter and the distance from the target position satisfy a specified criterion, based on the vessel diameter image and the distance image, as a candidate for device implantation position. The display control unit highlights the identified implantation position candidate on an image representing the brain.

The application discloses a scalp EEG signal-based brain internal nerve activity tracing method and system, and the method comprises the following steps: a virtual brain model is built by using a neurocluster model with biological interpretation, a whole brain map and brain physiological connection, and the number of the neurocluster model is recorded; brain internal nerve activity generated by the virtual brain model is converted into scalp EEG signals according to an EEG measurement model; a brain internal nerve activity tracing neural network is constructed; internal brain activity data with spatial characteristics and time characteristics are generated by using the virtual brain model, and corresponding EEG signals are obtained through the EEG measurement model; the obtained internal brain activity data and the corresponding EEG signals are used to construct a data set for training the brain internal nerve activity tracing neural network. The brain internal nerve activity tracing neural network is constructed by cascading a spatial module and a time module, so that the stability and accuracy of brain internal nerve activity tracing are improved.