211results about "Nervous system evaluation" patented technology

The invention discloses a nerve disease detection and analysis method and system, and the method comprises the steps: obtaining a bracelet collection signal, a sphygmomanometer collection signal, a movement behavior image and behavior test data, and extracting tremor intensity features, gait symmetry features and autonomic nerve rhythm features through multi-band decomposition of the bracelet collection signal; analyzing the motion behavior image and the standardized motion test to obtain a motion function score; carrying out heart rate variability analysis to identify a neural function abnormality mode; constructing a neural function state map and calculating a feature weight; predicting a disease progress trend in combination with historical monitoring data; and dynamically adjusting a prediction result through subsequent feedback correction information. Through a mode of combining short-time intensive monitoring and long-term intermittent acquisition, long-term trend prediction and dynamic correction based on initial data are realized, and the reliability and practicability of nerve disease risk assessment in a home scene are remarkably improved.

Systems, devices, and methods for neurostimulation using a combination of implantable and external devices to treat pain are disclosed.

The invention relates to an animal craniocerebral injury model construction method and system, and the method comprises the following steps: 1, selecting a plurality of healthy male SD (Sprague Dawley) rats, breeding the rats in different cages in a 12-hour illumination environment and a 6-hour dark environment at the temperature of 25 DEG C, dividing the rats into three groups, and enabling the rats to eat and drink water; 2, the rats are divided into an X group, a Y group and a Z group through random grouping, the X group is a mild craniocerebral injury group, the Y group is a moderate craniocerebral injury group, the Z group is a severe craniocerebral injury group, and the number of the rats in each group is equal; according to the animal craniocerebral injury model, animal craniocerebral injury of different degrees can be simulated, the injury degree can be evaluated, and the model has good repeatability, reliability and stability and has good reference value in practical application.

The invention discloses a neural disease diagnosis system based on space-time attention and dynamic field self-adaption. The method belongs to the technical field of cross-modal medical data adaptive analysis. The technical problem that a brand new system capable of simultaneously fusing multi-modal information and modeling multi-scale spatial-temporal features and having dynamic field adaptive ability is urgently needed to improve the accuracy and generalization ability of intelligent diagnosis of multi-site nerve diseases is solved. The system comprises a data preprocessing module for extracting a standardized time sequence of a brain region from fMRI time sequence data; the two-channel feature coding network module obtains global features through an attention mechanism; according to the feature fusion and classification module, a main task classifier executes a main task and predicts whether a to-be-tested person suffers from nerve diseases or not, and a domain task classifier executes a domain task and predicts a site to which the to-be-tested person belongs; and the dynamic balance training module adjusts the dynamic balance of the main task and the domain task through a dynamic balance control strategy.

The invention relates to a device for risk assessment of nervous system diseases, and a processor of the device is configured to receive eye movement data and electroencephalogram data which are associated in a time sequence, and fuse a double-branch deep neural network in a model through multiple modes to assess the risk of the nervous system diseases, performing feature extraction and attention mechanism-based cross-modal feature fusion on the eye movement data and the electroencephalogram data to obtain cross fusion features; and outputting risk assessment results and risk assessment parameters of at least one type of nervous system diseases through an output layer of the multi-modal fusion assessment model. According to the method and the device, the problem that diagnosis sensitivity and universality are insufficient due to the fact that diagnosis only depends on a single information source in related technologies is solved, disease features can be more comprehensively constructed from two levels of neural activity and behavior response by fusing data of two modes of eye movement and electroencephalogram, parallel diagnosis is further performed for multiple types of diseases, and the diagnosis efficiency is improved. The sensitivity and applicability of neuropsychiatric diagnosis are improved, and particularly, the method has more remarkable accuracy in early stages such as mild cognitive impairment and the like.

The invention discloses a sensory nerve quantitative detection method and system based on electroencephalogram characteristics, and relates to the technical field of electroencephalogram measurement, and the method comprises the steps: building detection files in one-to-one correspondence with users; respectively wearing the current stimulation module and the electroencephalogram detection module on the wrist and the head of the user; current stimulation is applied to a user step by step through a current stimulation module, and gamma waves in electroencephalogram signals of the user are collected in real time through an electroencephalogram detection module; gamma waves in the electroencephalogram signals of the user are analyzed, and whether the intensity of current applied to the user by the current stimulation module exceeds a physical stimulation sensing threshold value of the subject or not is judged; and analyzing severity grades of sensory disorders. The method has the advantages that detection is carried out through brain wave signals without relying on subjective feedback of a patient, interference of factors such as emotion and psychology is avoided, and even a special patient who cannot carry out self-perception report can complete sensory nerve quantitative detection through objective physiological reaction of brain waves.

The invention relates to the field of neuroscience experiments, and discloses a method for accurately adjusting the precision of targeted light and calibrating neuron sampling images, which comprises the following steps of: 1, acquiring image data containing neuron activity information; step 2, preprocessing the image data to remove artifact noise; step 3, modeling the deformation of the nervous tissue based on the image data; step 4, regulating and controlling optical system parameters for targeted light stimulation according to a deformation modeling result; and 5, closed-loop updating is performed on the modeling result and the regulation and control parameters based on feedback image data, the image data in the step 1 comprises a calcium imaging image and a targeted light feedback image which are synchronously acquired, the calcium imaging image is used for reflecting neuron activity, and the targeted light feedback image is used for calibrating a light spot position. By adopting an accurate calcium imaging technology and a targeted light feedback image synchronous acquisition scheme, real-time synchronization of neuron activity and light spot position is realized.

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 flexible hydrogel neural electrode and a preparation method and application thereof. The flexible hydrogel neural electrode comprises a flexible substrate layer, an electrode layer and a packaging layer which are sequentially arranged in a stacked mode, the flexible substrate layer and the packaging layer are each of a hydrogel fiber composite film structure formed by compounding a fiber film and hydrogel, and the fiber film is embedded in the hydrogel; the fiber film is a polycaprolactam fiber film, and the hydrogel is polyvinyl alcohol hydrogel; the electrode layer comprises a plurality of metal electrodes, and each metal electrode is provided with an electrode point and a bonding pad; the packaging layer is provided with a plurality of hole structures, and the holes are arranged corresponding to the electrode points and the bonding pads and enable the electrode points and the bonding pads to be exposed. The flexible hydrogel neural electrode provided by the invention has good biocompatibility, swelling resistance and process compatibility; meanwhile, the flexible hydrogel neural electrode can be stably applied to an implantable brain-computer interface and is used for realizing long-term stable acquisition and transmission of neural signals.

A computing device for enhancing communications is disclosed. The computing device includes a memory configured to store data, a video camera configured to receive video input data, and a microphone configured to receive audio input data. The computing device also includes a processor that is configured to analyze the received video input data, the received audio input data, and the data stored in the memory. The computing device further includes a visual display device that is configured to output a visual display based on the processor analysis, and a speaker output device that is configured to output an audio signal based on the processor analysis.

Assemblies, systems, and methods are directed at a neuromonitoring bone drill bit. The assembly may include a surgical bone drill bit, a neuromonitoring connection in electrical communication with the drill bit, and a shield extending over a distal end of the drill bit. The shield may be configured to withdraw proximally as the drill bit is advanced into a subject's bone. The assembly may be connected to a surgical drill and used in a surgical spinal procedure. In operation, the assembly may be advanced to a subject's bone at a surgical site and the drill bit may rotate into the subject's bone. In response, the shield may engage the bone and the drill bit may be advanced with respect to the shield. The shield may electrically insulate tissue from electrical current passing through the drill bit as it is inserted at the surgical site.

The invention discloses a nervous system function evaluation method and device, computer equipment and a medium, and relates to the technical field of intelligent medical treatment. The specific implementation mode comprises the following steps: acquiring sensor data of a plurality of body parts of daily activities of a user, wherein the sensor data is acquired through a sensor arranged in a home environment; obtaining a plurality of motion function evaluation parameters according to the sensor data; obtaining a nervous system function evaluation result based on the whole-age group normal population data model according to the multiple motion function evaluation parameters; and outputting a neurological function risk index and a risk index of the user according to a nervous system function evaluation result. According to the scheme, the nervous system function is evaluated by obtaining multiple evaluation parameters in daily life, and the accuracy and reliability of the evaluation result and the use flexibility of the evaluation method are improved.

The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue to cause altered activity at a synapse between a neuron and a non-neuronal cell.

The embodiment of the invention provides an image recognition and micro-current detection method and system for intercostal nerve plexus avoidance, and belongs to the technical field of data processing. The method comprises the steps of collecting initial image information corresponding to a first target object, and performing edge detection on the initial image information to obtain a corresponding target recognition result; determining a corresponding current parameter during micro-current detection, and obtaining a corresponding reaction potential signal of a related area of the first target object under the current parameter; performing nerve classification according to the reaction potential information to obtain a target nerve type corresponding to the related area; aligning the related area with the initial image information to obtain a target alignment result, and determining related edge information corresponding to the related area according to the target alignment result and the target recognition result; and generating intercostal nerve plexus avoidance information according to the target nerve type and the related edge information, and displaying the intercostal nerve plexus avoidance information to a second target object.

Systems, devices, and techniques are described for determining stimulation parameters based on one or more stimulation thresholds (e.g., a perception threshold or a detection threshold). In one example, a medical device includes sensing circuitry configured to sense one or more ECAP signals, wherein the sensing circuitry is configured to sense each ECAP signal of the one or more ECAPs elicited by a respective control pulse of a plurality of control pulses, and the medical device includes processing circuitry configured to determine, based on the one or more ECAP signals, a stimulation level for the plurality of control pulses that achieves a stimulation threshold, determine, based on the stimulation level, a value of a stimulation parameter that at least partially defines a plurality of therapy pulses of electrical stimulation therapy, and control stimulation generation circuitry to deliver the electrical stimulation therapy according to the value of the stimulation parameter.

A neural stimulator system which generates stimulation from an implantable stimulator circuit which generates stimulation outputs which mimic biological signals. The user / operator can select stimulation generated from recorded waveforms, or by selecting the characteristics for generating stimulation based on randomized inter-pulse-intervals (IPI). A control unit controls the operation of the implantable stimulator circuit, and receives sets of stimulation parameters based on user input from a user input device executing application specific programming.

A system and method of collecting, analyzing, and assessing children's participation data in kindergarten activities is disclosed. The method divides a kindergarten setting into a plurality of zones assigned to a set of activities. Data on children's entrance and exit times for each zone, children's development level, children's interests and preferences are obtained from an RFID-based data collector comprising of one or more RFID tags that are embedded in bracelets or other wearable devices and are worn by one or more individual children, and one or more RFID readers that capture real-time data from the RFID tags associated with individual children, and a server that connects to the RFID readers to store and process data.

A radiofrequency ablation electrode needle with multi-dimensional nerve monitoring, comprising a nerve monitoring flexible electrode, a radiofrequency thermocoagulation electrode, and three knob modules for adjusting the angle of the nerve monitoring flexible electrode. The X-axis rotation knob, Y-axis rotation knob, and Z-axis telescopic knob are respectively arranged on a triangular fixing seat. The X-axis rotation knob, Y-axis rotation knob, and Z-axis telescopic knob are respectively connected to the nerve monitoring flexible electrode through control cables. The front end of the triangular fixing seat is fixedly connected to the radiofrequency thermocoagulation electrode, and the rear end is docked with a cable. Compared with the prior art, the multi-dimensionally extendable electrode head of the present invention penetrates from the head end of the radiofrequency thermocoagulation electrode, and can achieve deflection in the front, back, left, and right directions in the X / Y directions and telescoping in the Z direction. The detection position of the flexible electrode head can be controlled by the X / Y / Z knobs. The monitoring electrode of the present invention can comprehensively monitor the ablated nerve lesion part, and to a certain extent, avoid the problems of incomplete nerve destruction or excessive nerve destruction.

The invention discloses a novel monitoring and intervention system for parathyroid gland function protection in a thyroid cancer operation, which comprises a nerve monitoring module, a measurement module, a light regulation and control module, an index monitoring module, a data regulation and control module, an intelligent feedback module and a postoperative monitoring module, comprising parathyroid gland specific fluorescent dye and a near-infrared light imaging system and is used for visualizing parathyroid glands in real time during an operation, and the measuring module is used for measuring the concentration value of calcium ions in a measured solution in real time and uploading the concentration value to the system to be stored and collected; blood circulation index data, lactic acid level data and peripheral perfusion parameters are collected through the index monitoring module, the accuracy and diversity of data collection in the operation process are improved, real-time field data collection is conducted on an operation site, and related blood circulation state data are collected through the measurement module and the light regulation and control module.

The invention relates to the technical field of rehabilitation physiological monitoring, and discloses a nerve-muscle recovery detection method based on HRV recovery rate and sEMG frequency spectrum declination, and the method comprises the steps: firstly obtaining an effective RR interval sequence subjected to quality gating and a steady state sEMG segment of a specific muscle group; then, extracting systemic HRV recovery features and local muscle fatigue features in parallel, and respectively generating a normalized HRV recovery rate score and a myoelectricity recovery score; through multi-level fusion, a global nerve recovery score, a local muscle recovery score array and a comprehensive nerve-muscle recovery score are integrated; and finally, based on the multi-dimensional evaluation results, generating personalized training suggestions. Therefore, the nerve-muscle system preparation degree of an individual can be comprehensively and accurately reflected, and a scientific basis is provided for optimizing a training plan and preventing sport injuries.

The invention discloses a neural signal decoding method, a brain-computer system, electronic equipment and a storage medium. The method comprises the following steps: acquiring a tested neural signal; determining the language state of the subject according to the neural signal and a preset language state detection model; determining a pre-trained language decoding model according to the language state; and decoding the neural signal by using the language decoding model to obtain a language decoding result. The technical problem that the neural signals corresponding to different language states cannot be decoded in real time when facing the neural signals corresponding to different language states is solved.

The invention relates to configuring a wearable device for a specific user. The wearable device couples to headwear to be worn by the specific user, and comprises an accelerometer to detect an acceleration change experienced by the user, and a notification component for providing a notification. The wearable device causes the notification component to provide the notification when the detected acceleration change exceeds a threshold acceleration. The invention comprises, at a mobile computing device, setting the threshold acceleration to be a standard threshold value, and monitoring input data indicative of at least one cognitive characteristic of the specific user. The invention involves updating the threshold acceleration to be a specific user threshold value, comprising adjusting the standard threshold value based on the monitored input data, and sending a control signal to control the wearable device to set the threshold acceleration to be the specific user threshold value.

The invention discloses an ADHD child food addiction neural mechanism evaluation method based on fMRI, and the evaluation method mainly comprises the following steps: obtaining the test results of the attention, execution function, intelligence quotient and food addiction of to-be-evaluated children, and dividing the to-be-evaluated children into an ADHD with food addiction group, an ADHD without food addiction group and a health control group according to the results; performing fMRI stimulation normal form execution after grouping, and performing brain function data acquisition; and finally, constructing a mathematical model of neural image data analysis, so that a specific neural circuit of ADHD children food addiction and a mechanism modulated by an emotional state can be revealed non-invasively and objectively, and an important scientific basis and tool are provided for early recognition, pathological mechanism research and targeted intervention strategy development of ADHD co-disease food addiction.

An intervention device 110 for detecting neural activity is provided. The intervention device includes a magnetic sensor 120 coupled to an insertable portion of the intervention device. The magnetic sensor 120 is configured to generate a signal in response to a magnetic field generated by neural activity. A system 200 is also provided. The system includes the intervention device 110 and a controller 140 configured to receive the signal generated by the magnetic sensor 120 and output a detection result indicating neural activity in response to the received signal.

The invention discloses a nerve monitoring condensable and cuttable electrode and an electrocoagulation operation system. The nerve monitoring condensable and cuttable electrode comprises a handle shell, a condensable and cuttable high-frequency operation electrode assembly, a nerve detection electrode assembly and a driving control mechanism, wherein the condensable and cuttable high-frequency operation electrode assembly and the nerve detection electrode assembly are arranged in the handle shell. The driving control mechanism comprises an external operation part and an internal transmission assembly, and the external operation part is in transmission connection with the two electrode assemblies through the internal transmission assembly. When the external operating part moves towards a first direction, the high-frequency operation electrode assembly is driven to extend out and the nerve detection electrode assembly is synchronously driven to retract; otherwise, the nerve detection electrode assembly is driven to stretch out, and the high-frequency operation electrode assembly is synchronously driven to retract. Reverse linkage and physical mutual exclusion of the two electrodes are achieved through the internal transmission assembly, it is ensured that only one functional head is located at the working position at the same time, and the risk that due to the fact that the two electrodes stretch out at the same time, mutual interference of different energies and accidental touch of non-target tissue are possibly caused in the operation process is avoided.

A lateral retractor system for forming a pathway to a patient's intervertebral disc space includes a single dilator and a retractable dual-tapered-blade assembly. The dilator may feature a narrow rectangular body for insertion at an insertion orientation parallel to the fibers of the patient's psoas muscle, at an approximate 45-degree angle to the patient's spine. The retractable dual-tapered-blade assembly consists of only two blade subassemblies, each having a blade bordered by adjustable wings, along with built-in lighting and video capabilities. The dual-tapered-blade assembly may be passed over the single dilator at the insertion orientation and rotated approximately 45-50 degrees to a final rotated orientation parallel to the intervertebral disc space before the two blade subassemblies are retracted away from one another to create the surgical pathway, while simultaneously and continuously assessing for encroachment upon one or more nerve structures within 360-degrees of the instrument. Other embodiments are also disclosed.

The use of an active substance selected from an HCAR2 receptor activator, an HCAR3 receptor activator, an ester thereof, and a combination thereof in the preparation of a kit for detecting a neurological function state of a subject. The kit comprises several small chambers to accommodate different concentrations of aqueous solutions of the HCAR2 receptor activator or the HCAR3 receptor activator or the ester thereof. The kit can be used for effectively detecting the neural neurological state of the subject by means of evaluating the sensitivity of the subject to the HCAR2 receptor activator or the HCAR3 receptor activator or the ester thereof, and can be used for quickly obtaining a detection result by means of a few simple steps in a short time, so that real-time detections in multiple scenarios such as hospital wards, physical examination centers, and homes are achieved.

The present invention relates to a system for early screening of autism spectrum disorder using eye tracking. According to the present invention, autism spectrum disorder may be diagnosed early by applying response data of a user's gaze, which reacts to images or videos outputted on a display, to an autism spectrum disorder screening model. In addition, the present invention may be used to easily check a degree of suspicion of autism spectrum disorder at home, and thus may be utilized in the fields of early diagnosis, prevention, and treatment of autism in children.