100 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 a temperature-adjustable analgesic method for cooling dorsal root ganglion, which is characterized in that according to the characteristics of complicated anatomical structure and extremely small size of the dorsal root ganglion, a miniature thermoelectric refrigeration device which is small in size, capable of being embedded in vivo, high in biocompatibility, wide in refrigeration range and capable of being stably fixed is designed. Meanwhile, the device has the characteristics of capability of quantitatively regulating and controlling the refrigerating temperature, no external refrigerating cycle, low cost and the like; besides, under the condition that the nerve structure is not damaged, the device can effectively slow down inherent nerve activity and inhibit abnormal discharge of neurons, so that the device is used for gently cooling and regulating DRG to relieve chronic pain. The invention not only opens up a brand-new treatment way for chronic pain patients who have been addicted or tolerated to drugs, but also is expected to be expanded to the field of pain management of animals such as pets and racing horses.

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.

The invention relates to the technical field of brain science, and discloses a multi-region adjustment method and system based on transcranial time domain coherent stimulation. The method specifically comprises the following steps: determining a stimulation sequence and a time interval of a plurality of target brain regions; respectively stimulating the plurality of target brain regions through the tTIS system under the corresponding stimulation sequence and time interval; the tTIS system comprises a plurality of pairs of electrodes, and every two pairs of electrodes act on the same target brain region; in the stimulation process, behavior data and brain nerve activity data of the individual in the behavior task are collected; and analyzing the behavior change trend of the individual according to the behavior data and the brain nerve activity data. According to the application, activation or inhibition of the cortical brain region and the deep brain region can be realized, and information transmission and functional connection among the target brain regions and improvement of complex cognitive tasks can be realized by accurately regulating and controlling the stimulation sequence and the time interval of the multiple target brain regions, so that the neural network function of the brain is optimized.

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.

Described herein are methods for monitoring or modulating an immune system in a subject; treating, reducing or monitoring inflammation; monitoring blood pressure; treating hypertension; or administering or adjusting a therapy for inflammation or hypertension in a patient by electrically stimulating the splenic nerve or detecting splenic nerve activity using an implanted medical device. Also described herein are implantable medical devices for performing such methods. The implanted medical device includes an ultrasonic transducer configured to receive ultrasonic waves and convert energy from the ultrasonic waves into an electrical energy that powers the device, two or more electrodes in electrical communication with the ultrasonic transducer that are configured to electrically stimulate a splenic nerve or detect a splenic nerve activity, and optionally a splenic nerve attachment member.

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.

To provide a device, system, and method for neuromodulation of nerves adjacent to the splenic artery, specifically for stimulating neural activity in the nerves.SOLUTION: A system 50 for stimulating neural activity of the splenic artery nerves includes: at least one electrode 11, 12 for making signal-transmitting contact with the nerves at a site where the splenic artery does not directly contact the pancreas; and at least one controller 60 electrically coupled to the at least one electrode and configured to control the operation of the at least one electrode to apply electrical signals to the nerves. The electrical signals result in improvements in physiological parameters in a subject, and include one or more from the group consisting of a reduction in inflammatory cytokines, an increase in anti-inflammatory cytokines, an increase in catecholamines, changes in immune cell populations, changes in immune cell surface co-stimulatory molecules, a reduction in factors involved in inflammatory cascades, changes in levels of immune response mediators, and a reduction in splenic blood flow.SELECTED DRAWING: Figure 1

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.

The invention discloses health-care traditional Chinese medicine plant essential oil which is prepared from the following components: 3 parts of agilawood essential oil, 5 parts of frankincense essential oil, 6 parts of sandalwood essential oil, 9 parts of rosemary essential oil, 6 parts of ginseng essential oil, 5 parts of saffron crocus essential oil, 9 parts of mangnolia officinalis essential oil and 6 parts of amber essential oil. According to the plant essential oil, pure traditional Chinese medicine plant components are completely adopted, and all medicinal components of traditional Chinese medicines are reserved to the maximum extent in the essential oil extraction process; the plant essential oil disclosed by the invention is high in affinity, can promote blood and lymph circulation, and has the effects of improving the environment in a human body, promoting metabolism and further regulating the whole body and mind of the human body; the active effect of the essential oil has the effects of promoting and regulating neural activity and internal circulation and further recovering the functions of a nervous system and a circulatory system.

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.

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.