62results about "Nervous system evaluation" patented technology

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.

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 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 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.

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 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.

The application provides a neurovascular coupling imaging system, method, device and storage medium, which comprises an image collector, a microscope frame arranged in the light inlet direction of the image collector, a visible light system for emitting visible light to a sample to be collected after the visible light is reflected by a beam splitter in the microscope frame, a near-infrared light system for emitting near-infrared light to the sample to be collected after the near-infrared light is reflected by another beam splitter in the microscope frame, and a trigger device for switching the frequency of the time-sharing emission of each light source in the visible light system and the near-infrared light system based on the collection frequency of the image collector. The application can integrate different visible light or near-infrared laser light sources in the light path to be collected, is compatible with various imaging requirements such as visible light for imaging of nerve cell activity and near-infrared light speckle imaging for non-invasive blood flow imaging, ensures that there is no time difference between image collection and light source switching and no time resolution is lost, and facilitates subsequent storage and calculation of data.

The application discloses a nerve monitoring coagulation and incision electrode and an electrocoagulation operation system. The nerve monitoring coagulation and incision electrode comprises a handle shell, a coagulation and incision high-frequency operation electrode assembly and a nerve detection electrode assembly arranged in the handle shell, and a driving control mechanism. The driving control mechanism comprises external operating parts and an internal transmission assembly. The external operating parts are respectively in transmission connection with the two electrode assemblies through the internal transmission assembly. When the external operating parts move in a first direction, the high-frequency operation electrode assembly is driven to extend and the nerve detection electrode assembly is synchronously driven to retract. Conversely, the nerve detection electrode assembly is driven to extend and the high-frequency operation electrode assembly is synchronously driven to retract. The application realizes reverse linkage and physical mutual exclusion of the two electrodes through the internal transmission assembly, ensures that only one functional head is in a working position at the same time, and avoids the risk of possible mutual interference of different energies and mis-touching of non-target tissues in the operation process caused by the extension of the two electrodes at the same time.

The application provides a neuromuscular coordination ability evaluation and training system with an environment simulation function, which introduces the movements of six degrees of freedom of the subject environment, such as up and down, left and right, and pitching, to simulate flight movements, so that the perception effect of the subject on the environment during the test and training process can be enhanced, and the result is closer to the result in the flight test; four degrees of freedom of the upper and lower limb interaction device and nine test paradigms are designed, the coordination test of two dimensions of coordination and reaction is involved, the test of multiple dimensions and indexes is involved, and the reliability and validity of the test can be improved; five single abilities of coordination ability and four single abilities of reaction ability are designed, the comprehensive ability of two dimensions is obtained through a weight coefficient, and all the results are recorded and managed; according to the daily record of the single abilities, targeted training tasks can be carried out, and the training efficiency is greatly improved; during the test process, the load can be parameterized and adjusted, and the difficulty of the test can be quantitatively controlled.

Disclosed is a method of forming a conductive diamond layer on a surface of a carbon fibre substrate that is used as a component of an electrode for neural stimulation and / or electrochemical sensing. The method comprises functionalising at least a portion of the surface with a functionalising agent to facilitate coating the surface with the conductive diamond layer. The method also comprises providing a diamond precursor and depositing the diamond precursor over the functionalising agent to form the conductive diamond layer. The disclosure also relates to an electrode that is used as a component of an electrode for neural stimulation and / or electrochemical sensing.

The invention discloses a three-dimensional nerve probe array with variable rigidity. The array is formed by alternately stacking a plurality of rigidity-variable two-dimensional nerve probe array modules and a plurality of separation gaskets along the thickness direction, and an adhesive is applied to the peripheral side surface of a stacked body to form an edge sealing adhesive layer, so that the stacked body is locked into an integral three-dimensional structure. Each two-dimensional nerve probe array module comprises a modulus variable polymer layer and a two-dimensional nerve electrode structure, the modulus variable polymer layer has high modulus under the in-vitro low-temperature dry condition and is converted into low modulus in the body temperature and body fluid infiltration environment, so that the three-dimensional nerve probe array is integrally high in rigidity before implantation and is integrally soft after implantation. The spacer is made of a low modulus elastomeric polymer for setting interlayer spacing and providing flexible cushioning. The three-dimensional nerve probe array can be integrally implanted, repeated puncture and trauma are reduced, mechanical matching with brain tissue is improved after implantation, and three-dimensional high-flux long-term stable nerve recording is achieved.

Methods and apparatus for reducing the risk of neurological injury to a human fetus during labor and before are disclosed. Such a method, according to one embodiment, includes the steps of: (1 ) identifying during labor the risk of neurological injury to a fetus by: at a first period in time during the first stage of labor, conducting an analysis of fetal blood to determine at least a first base excess (BE) value for the fetus; (2) determining a multiple of the median for the BE value at the first period in time by dividing the BE value by the median BE value of a dataset comprising a population of fetal BE values established at the same period in time during the first stage of labor as the first period, wherein a risk of neurological injury to the fetus is indicated when the BE value is a predefined multiple of the median BE value; and (3) treating the fetus for which the risk of neurological injury is indicated by the identification step, wherein the treatment step comprises intervening in labor to reduce or eliminate the risk of neurological injury to the fetus through any conventional therapeutic measures.

The invention provides a high-synchronization vestibular eye movement detection method and device. The method comprises the following steps: continuously recording pupil images and eye movement tracks of a user; a stimulation signal and a starting signal are synchronously sent to the user, the pupil image of the user at the moment is marked through the starting signal, and the marking moment T1 is recorded. And recording an action moment T2 when the user responds to the stimulation signal to generate the eye action. And the reflection latency of T1-T2 is obtained and analyzed. Through the steps, the data accuracy is improved.

Disclosed are medical devices for sensing bioelectrical potential including an electroencephalography (EEG) headset, electrodes compatible therewith, and methods of operation thereof. The headset can comprise a left junction and a right junction, a plurality of length-adjustable bands connecting the left junction and the right junction, and a number of electrodes. Each of the electrodes can comprise an electrode body coupled to one of the plurality of length-adjustable bands and a detachable electrode tip configured to be detachably coupled to the electrode body. The electrode tip can comprise an electrode tip body, one or more deflectable electrode legs coupled to the electrode tip body, and a conductive cushioning material coupled to a segment of at least one of the one or more electrode legs. The conductive cushioning material can retain or be saturated with one or more conductors.

The invention discloses a nerve stress injury identification algorithm based on multi-attention crossing, and relates to the technical field of artificial intelligence and biomedical engineering crossing. According to the algorithm, an end-to-end differentiable joint optimization framework is constructed, firstly, learnable self-adaptive preprocessing including band-pass filtering, empirical mode decomposition and dynamic threshold denoising is carried out on original electroencephalogram signals; secondly, designing a time, space and frequency three-path parallel attention mechanism, and realizing dynamic weighted integration of multi-dimensional features through a cross gating fusion module; and finally, adopting a spiking neural network with a learnable membrane potential attenuation coefficient and a dynamic threshold to carry out brain-like decision, outputting a damage probability, positioning a thermodynamic diagram and carrying out severity score. All module parameters are jointly optimized under a unified loss function, co-evolution of signal enhancement, feature fusion and a decision-making mechanism is achieved, and the accuracy, robustness and interpretability of neural stress injury recognition are remarkably improved.

The invention discloses a neural state recognition method based on an EMG signal. The method comprises the following steps: acquiring an EMG detection signal; performing state recognition through a neural state recognition model according to the myoelectricity detection signal to obtain state reference information; the state recognition of the neural state recognition model comprises the following steps: preprocessing an obtained myoelectricity detection signal to obtain standardized detection data; and extracting detection feature information in the standardized detection data, establishing a front-and-back dependency relationship of a time sequence, focusing the change of a time slice through an attention mechanism, and matching state reference information with the detection feature information through data in a sample library. The invention discloses a neural state recognition method and device based on an EMG signal, a storage medium and a program product, a neural state data set is constructed, key feature parameters are extracted, a neural state discrimination model is established by using a deep learning algorithm, neural state recognition is realized, and improvement of the stability, timeliness and accuracy of neural state recognition can be assisted.

This invention describes a technique for determining the location of at least one oscillating signal source within a patient's body. A processing circuit can determine a desired electrical signal level based on the hypothetical location of the at least one oscillating signal source. The processing circuit can determine the electrical signal level and, based on these desired electrical signal levels and the determined electrical signal level, determine an error value. The processing circuit can adjust the hypothetical location of the at least one oscillating signal source until the error value is less than or equal to a threshold, including examples where the error value is minimized.

The application discloses a kind of brain neuron wide-field single-photon calcium imaging method and system, wherein brain neuron wide-field single-photon calcium imaging method includes the following steps: from the reference frame image of continuous multiple frames of brain nerve image, reference frame image is divided into multiple overlapping subareas;From the brain nerve image of continuous multiple frames, one frame image is selected as current frame image one by one, and current frame image is divided into multiple overlapping subareas, each subarea corresponds with the size and position of the subarea of reference frame image;The displacement vector of the subarea of corresponding position on current frame image and reference frame image is calculated respectively using optical flow method;Whether all displacement vectors are consistent is judged, if yes, brain blood vessel features are used for image registration to remove motion artifact, if not, NorMCorre algorithm is used to remove motion artifact.Displacement state is analyzed first before image registration, and appropriate registration method is selected according to displacement state, which improves registration accuracy.

This invention provides a flexible, foldable, multifunctional clinical neural probe and its fabrication method, relating to the field of clinical neurophysiological signal and neurotransmitter detection sensors. The neural probe includes a folded portion, which comprises a base layer, a conductive layer, and an insulating layer stacked sequentially. The conductive layer includes multiple parallel signal detection units, each comprising: a detection site formed at the head end of the folded portion; a pad formed at the tail end of the folded portion; and a first lead wire arranged along the neural probe and connecting the detection site and the pad. The first lead wire includes at least two first lead wire segments and at least one second lead wire segment on the same plane. Each first lead wire segment is a straight line segment, and each end of each second lead wire segment is connected to a first lead wire segment. Two first lead wire segments connected to the same second lead wire segment can be unfolded or folded around the second lead wire segment, and when both first lead wire segments are unfolded, they are on the same straight line.

Disclosed are medical devices for sensing bioelectrical potential including an electroencephalography (EEG) headset, electrodes compatible therewith, and methods of operation thereof. The headset can comprise a left junction and a right junction, a plurality of length-adjustable bands connecting the left junction and the right junction, and a number of electrodes. Each of the electrodes can comprise an electrode body coupled to one of the plurality of length-adjustable bands and a detachable electrode tip configured to be detachably coupled to the electrode body. The electrode tip can comprise an electrode tip body, one or more deflectable electrode legs coupled to the electrode tip body, and a conductive cushioning material coupled to a segment of at least one of the one or more electrode legs. The conductive cushioning material can retain or be saturated with one or more conductors.

The invention relates to a kit and a system for detecting a neurological function state of a subject. The kit comprises a plurality of small chambers for containing different concentrations of an HCAR2 receptor activator or an HCAR3 receptor activator or an ester aqueous solution thereof. The kit provided by the invention can be used for effectively detecting the neurological function state of a subject by evaluating the sensitivity degree of the subject to the HDAR2 receptor activator or the HDAR3 receptor activator or the ester thereof. The system disclosed by the invention can be used for quickly obtaining a detection result through several simple steps of operation in a short time, realizes multi-scene real-time detection in a ward, a physical examination center, a home and the like, and is an objective, convenient and effective biological detection means for detecting four nerve function states of a subject.

The application discloses a kind of sensation nerve quantitative detection method and system based on electroencephalogram characteristics, it is related to electroencephalogram measurement technical field, including: establishing and corresponding detection file of user;Respectively current stimulation module and electroencephalogram detection module are worn in the wrist of user and head;By current stimulation module, current stimulation is gradually applied to user, and gamma wave in the electroencephalogram signal of user is collected in real time by electroencephalogram detection module;Analysis gamma wave in the electroencephalogram signal of user, whether the current intensity that current stimulation module applies to user exceeds the physical stimulation perception threshold of subject is judged;Analysis sensation disorder severity classification.The application has the advantages that: detection is carried out by electroencephalogram signal, does not depend on the subjective feedback of patient, avoids the interference of emotion, psychology and other factors, even if special patient cannot carry out self-perception report, sensation nerve quantitative detection can also be completed by objective physiological response of electroencephalogram.

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.

Disclosed in the present invention are an eye movement data processing method and system for detection of autism spectrum disorder. The method comprises: on the basis of different motion patterns, displaying a plurality of detection icons in a detection task, the moving detection icons guiding a subject to viewing a display module; then collecting an eye movement image sequence of eyes of the subject viewing the detection icons, extracting therefrom eye movement data, and grouping the eye movement data; calculating a gaze point displacement data set corresponding to each group of eye movement data, importing a motion function corresponding to each detection icon into a test coordinate system, and importing each gaze point displacement dataset into the test coordinate system; and determining which motion function each gaze point displacement dataset conforms to, so as to dynamically associate the gaze position of the subject with the detection icons, thereby capturing the pattern of the subject's gaze following the detection icons. The detection method of the present invention does not need to be used with high-precision and high-cost hardware, improving the general applicability to meet large-scale and fast detection screening scenarios.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.

Systems and methods for storing and managing physiological data in implantable medical devices (HMDs) are disclosed. An ambulatory medical- device system includes a sensor circuit to sense a physiological signal from a patient, a memory circuit, and a controller circuit. The controller circuit determines a feature value margin based on a variability metric of baseline signal feature values from a physiological signal sensed during a baseline condition, determines test signal feature values from a physiological signal sensed during a test condition different from the baseline condition, and selectively stores in the memory circuit a subset, less than an entirety, of the determined test values that fall outside the feature value margin about a reference feature value. The stored test values of the signal feature can be transmitted to an external device for inspection or further processing.

The invention provides a method of determining whether a subject has a neurological dysfunction associated with a signal in a particular electroencephalogram (EEG) or magnetoencephalogram (MEG) frequency range, the method comprising: obtaining an EEG power spectrum from the subject; and obtaining a metric quantifying the magnitude of power in particular frequency range metric quantifying the power in the power spectrum in the particular frequency range, wherein the metric summarises the power in said frequency range corrected using an estimate of the power in said frequency range that is attributable to background signal that is specific to said frequency range, wherein the metric is indicative of the presence and / or severity and / or direction of a neurological dysfunction. Related methods and devices are also described.