24 results about "Brainstem" patented technology

The invention relates to the technical field of crossing of medical instruments and artificial intelligence, and provides a hearing threshold detection method based on multi-mode hearing electrophysiological signal fusion. Comprising stimulation frequency otoacoustic emission and auditory brainstem response induced by sweep frequency stimulation sound, distortion product otoacoustic emission induced by dual-tone stimulation and middle ear sound immittance / reflection signals, and a multi-task deep learning model is constructed to perform fusion analysis on the signals. According to the method, accurate quantitative regression prediction of hearing thresholds with any frequency resolution and automatic classification and discrimination of hearing loss properties are synchronously realized, the problems of single evaluation dimension and insufficient complex hearing loss analysis ability in the prior art are effectively solved, the comprehensiveness, accuracy and clinical operation efficiency of objective hearing evaluation are remarkably improved, and the method is suitable for popularization and application. And an innovative system solution is provided for fine diagnosis of the auditory function.

A method for early diagnosis of autism spectrum disorder (ASD) including determining an ASD risk index, determining an ASD brain index that includes administering at least one auditory brainstem response (ABR) test to an ear canal of a patient, producing a plurality of biomarkers and identifying at least one biomarker of the plurality of biomarkers as a potential ASD biomarker, and determining an ASD likelihood responsive to each of the ASD risk index and ASD brain index.

The application discloses a kind of whole brain segmentation method, system, equipment and medium, method includes obtaining CT image data, and standard image data is obtained by preprocessing;Standard image data is input into whole brain segmentation model, and whole brain segmentation result is obtained.Wherein, whole brain segmentation model is obtained based on sample annotation data training, and whole brain segmentation model includes CNN encoder, Transformer encoder, multiple cross-domain fusion modules and the feature enhancement module corresponding to cross-domain fusion module one by one, and decoder.The application has the advantages that the soft tissue contrast of CT image data is low, it is difficult to distinguish cerebral grey matter, cerebral white matter, cerebrospinal fluid and brainstem brain tissue problem, by CNN encoder extraction local feature and Transformer encoder extraction global semantic feature, and local feature and global semantic feature dynamic interaction and fusion, accurately segmented advantage is carried out to whole brain cerebral grey matter, cerebral white matter, cerebrospinal fluid and brainstem brain tissue.

Methods, systems and devices are provided to stimulate the vestibular system in such a way as to influence the neurological components of the autonomic nervous system and reduce an anxiety level in a subject. A device with one or more electrodes placed over a subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nucleus in the brainstem and thereafter transmitted to the neurological components of the autonomic nervous system to reduce a physiological reaction to an anxiety event. The characteristics of the stimulation signal and duration of the treatment are configured to allow the treatment to be delivered before, during or after an anxiety event to potentially prevent or at the very least reduce an anxiety response in the subject.

The invention discloses an auditory brainstem response automatic classification method and device based on a time-frequency cross attention network, equipment and a storage medium, and relates to the technical field of hearing monitoring. Double-branch parallel processing is carried out on ABR signals; the frequency domain branch obtains time-frequency spectrogram features through short-time Fourier transform; a characteristic linear modulation mechanism is introduced into each of the two branches, and stimulation intensity is used as conditional information to carry out adaptive scaling and offset on intermediate characteristics; complementary fusion of the time-frequency characteristics is realized through a bidirectional cross attention mechanism, so that the time-domain characteristics can query the frequency-domain information, and the frequency-domain characteristics can query the time-domain information; and performing binary classification decision by combining global average pooling, stimulation intensity late fusion and a multi-layer perceptron. According to the method, multi-modal information and physiological priori can be fully utilized in automatic classification without manual feature engineering, and the accuracy, objectivity and efficiency of hearing screening and diagnosis are remarkably improved.

Methods, systems, and devices for stimulating the vestibular system are provided to excite nervous system components of the physiological rhythm system and induce sleep. A device having one or more electrodes placed on the subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nuclei of the brainstem, after which it is transmitted to nervous system components of the physiological rhythm system to excite areas that promote sleep, thereby putting the body into a sleep state. The characteristics of the stimulation signal and the duration of the treatment are configured to allow the treatment to be delivered prior to the subject's desired sleep time, thereby not requiring the device to be worn in bed.

The invention discloses an oxygen uptake cardiopulmonary endurance testing method based on load turn-back walking and a human brain structure, and relates to the technical field of exercise physiology and biomedicine detection.The method comprises the steps that progressive load turn-back walking exercise data and a high-resolution brain structure image of a subject are obtained; extracting key brain region parameters such as the thickness of the anterior cinerary cortex, the grey matter density of island leaves and the signal intensity of brainstem respiratory center; normalizing the motion features and brain structure parameters and then constructing a 12-dimensional multi-modal fusion feature vector; and inputting a deep feedforward neural network model to predict the maximum oxygen uptake, and performing five-level cardiopulmonary endurance evaluation according to an age and gender correction result. According to the method, quantitative association between peripheral exercise performance and a central nervous anatomy basis can be realized, the heart and lung endurance evaluation precision of old people and individuals with abnormal neurological functions is remarkably improved, and rapid screening and personalized exercise prescription making are supported.

This invention provides a method for improving the horizontal baseline of an ABR (Auditory Brainstem Sensor) electroencephalogram (ABR), relating to the field of EEG monitoring technology. The key feature is that the ABR-1 instrument is used, and the baseline is changed to a horizontal baseline via a 6-pin integrated circuit. The ABR-1 instrument can acquire seven peak images. The advantages of this invention are: changing the baseline to a horizontal position reduces the impact of carrier waves on the final image, thus providing a clearer view of the detected image, facilitating physician interpretation, and improving overall diagnostic efficiency.

The invention discloses a whole brain segmentation method, system and device and a medium, and the method comprises the steps: obtaining CT image data, and carrying out the preprocessing to obtain standard image data; and inputting the standard image data into the whole-brain segmentation model to obtain a whole-brain segmentation result. Wherein the whole-brain segmentation model is obtained based on training of sample labeling data, and the whole-brain segmentation model comprises a CNN encoder, a Transform encoder, a plurality of cross-domain fusion modules, feature enhancement modules in one-to-one correspondence with the cross-domain fusion modules, and a decoder. Aiming at the problems that CT image data is low in soft tissue contrast, and the brain grey matter, the brain white matter, the cerebrospinal fluid and the brainstem tissue are difficult to distinguish, local features are extracted through a CNN encoder, global semantic features are extracted through a Transform encoder, and the local features and the global semantic features are dynamically interacted and fused, so that the accuracy of the CT image data is improved. And the method has the advantage of accurately segmenting the whole brain grey matter, the white matter, the cerebrospinal fluid and the brainstem brain tissue.

This invention relates to pharmaceutical compositions, including compositions adapted for intranasal administration, comprising an active ingredient, including phosphodiesterase inhibitors, useful in the treatment of respiratory dysfunction associated with motor neuron diseases and lysosomal storage diseases, including amyotrophic lateral sclerosis and other adult and pediatric neurodegenerative diseases characterized by central apnea and protein misfolding involving brainstem nuclei.

This invention provides a radioactive monoclonal antibody formulation, its preparation method, kit, and application, belonging to the field of biomedical technology. It addresses the limitations of existing B7-H3-targeted radiopharmaceuticals in terms of administration methods and formulations, which are unsuitable for the minimally invasive local treatment needs of brainstem gliomas. The radioactive monoclonal antibody formulation includes: a radionuclide. 177 The radioactive monoclonal antibody formulation contains Lu, the chelating agent DOTA, and B7-H3 monoclonal antibody; the radioactive concentration of the formulation is ≥370 MBq / mL, the protein content is 5-10 μg / dose, the pH value is 6.8-7.4, the osmotic pressure is 270-320 mOsm / kg, and the viscosity at 20°C is 1.2-2.5 mPa·s. This radioactive monoclonal antibody formulation is suitable for "stereotactic micro-injection" into the brainstem parenchyma, achieving high-concentration deposition in small volumes and inhibiting backflow upon needle cessation, reducing long-term perfusion dependence and backflow risk, and reducing operation time and procedural complexity in high-risk areas of the brainstem.

The invention provides a bone conduction control method based on a high-frequency ceramic vibrator, and the method comprises the steps: enabling a to-be-detected organism to be fixed, enabling a vibrator sounder to be attached to a skull of the to-be-detected organism, enabling the vibrator sounder to generate vibration according to a stimulation signal, and transmitting the vibration to a skull part; detecting and analyzing an auditory brainstem signal generated by the skull part through vibration to obtain a bone conduction auditory threshold value; and comparing the bone conduction auditory threshold with the air conduction auditory threshold to judge the lesion position. By comparing the bone conduction threshold value with the air conduction threshold value, whether the hearing loss is derived from the middle ear conduction disorder or the inner ear sensorineural disorder can be clearly judged, so that accurate distinguishing of lesion positions is realized, and the limitation that the air conduction test is restricted by the middle ear function is overcome.

The invention discloses application of Stab2 protein or coding nucleic acid thereof in preparation of a medicine for treating hearing loss, belongs to the technical field of biological medicine and gene therapy, and aims to solve the problem that in the prior art, an effective repairing means for cochlea banding synapse injury is lacked. The medicine mainly comprises a recombinant virus vector (preferably a lentiviral vector) carrying a Stat2 coding sequence, and the recombinant virus vector is suitable for being delivered to the inner ear through round window injection after being prepared; experiments show that overexpression of Stab2 protein in cochlea can significantly promote regeneration of banding synapses of inner hair cells after noise damage, and the number of synapses is effectively increased; meanwhile, the hearing brainstem reaction threshold value can be remarkably reduced, and the ABR I wave amplitude representing the nerve conduction function is improved; by repairing damaged synaptic junctions, noise-induced hearing loss and implicit hearing loss can be effectively treated, tinnitus, auditory allergy and speech resolution disorder are improved, and good clinical transformation prospects are achieved.

A robot arm brain-like control method and control apparatus based on a spiking neural network. The control method comprises: on the basis of a spiking neural network, constructing a cerebellar module, so as to use the cerebellar module to obtain an initial torque instruction for a target robot arm; on the basis of the initial torque instruction, constructing a thalamic module, and using the thalamic module to adjust the initial torque instruction, so as to obtain a final torque instruction; using the final torque instruction to construct a brainstem module, so as to obtain a feedforward torque; and on the basis of spike coding and the feedforward torque, constructing a spinal cord module, and combining the cerebellar module, the thalamic module and the brainstem module to construct a robot arm control model, so as to output a torque control instruction. The control apparatus is used for implementing such a control method. The present invention can solve problems such as reduced control accuracy, impaired universality and inability to adapt to control tasks under complex load conditions, which are caused by significant differences in working requirements when a robot arm executes different tasks due to the impact of the size, mass, etc., of an operated object in complex working scenarios.

Provided are compounds, methods, and pharmaceutical compositions for reducing the amount or activity of ATXN1 RNA in a cell or subject and, in certain cases, reducing the amount of ATXN1 in a cell or subject. Such compounds, methods, and pharmaceutical compositions can be used to improve at least one symptom or marker of a neurodegenerative disease. Such symptoms and markers include gait and limb ataxia, cognitive impairment, difficulty speaking and swallowing, atrophy of the cerebellum and brainstem in magnetic resonance imaging (MRI), neurochemical abnormalities in the cerebellum and brainstem detected via magnetic resonance spectroscopy (MRS), and death within 10-15 years after symptom onset. Such neurodegenerative diseases include spinocerebellar ataxia type 1.

This invention discloses a method for constructing an animal model of sensorineural hearing loss induced by phenylacetylglutamine and its application. The method includes: selecting 6-8 week old male C57BL / 6J mice, intraperitoneally injecting phenylacetylglutamine solution at a dose of 50 mg / kg body weight / day, once daily, for at least 4 months to obtain the sensorineural hearing loss animal model. This model is characterized by a significantly elevated auditory brainstem response threshold, loss of cochlear outer hair cells, and increased oxidative stress levels. This invention establishes for the first time an animal model of sensorineural hearing loss induced by the circulating metabolite phenylacetylglutamine, filling the technical gap in existing models that cannot simulate hearing loss mediated by metabolic abnormalities. The model construction method is simple to operate, has a high success rate, and good reproducibility, and can be used for research on the pathogenesis of sensorineural hearing loss and screening for preventive and therapeutic drugs.

A chimeric non-human mammal disease model, wherein (1) at least 30% of all the glial cells in the corpus callosum of the chimeric non-human mammal are human glial cells, and / or (2) at least 5% of all of the glial cells in the white matter of the brain and / or brain stem of the chimeric non-human mammal are human glial cells, and wherein the human glial cells comprise a combination of a first group of human glial cells tagged with a first label and a second group of human glial cells tagged with a second label that is distinguishable from the first label.

A method and system for de-noising evoked potential waveforms is provided. In a first aspect, a method includes receiving an auditory brainstem response (ABR) waveform set. The ABR waveform set includes evoked potential waveforms for each ear, stimulation level, and frequency. The method includes generating a set of de-noised waveforms by applying a dual tree complex wavelet transform (DTCWT) to the set of ABR waveforms and minimizing an error between each de-noised waveform and its corresponding ABR waveform, while: limiting a total amplitude of complex wavelet coefficients to an amplitude threshold; limiting the total magnitude of the difference between the complex wavelet coefficients at adjacent stimulation levels to a level threshold; and limiting the total magnitude of the difference between the complex wavelet coefficients at adjacent frequencies to a frequency threshold.

This application relates to the field of robotic arm control technology, and particularly to a brain-like control method and device for robotic arms based on spiking neural networks. The method includes: constructing a cerebellum module based on a spiking neural network to obtain initial torque commands for the target robotic arm; constructing a thalamus module based on the initial torque commands and adjusting the initial torque commands using the thalamus module to obtain final torque commands; constructing a brainstem module using the final torque commands to obtain feedforward torque; constructing a spinal cord module based on pulse coding and feedforward torque, and combining the cerebellum module, thalamus module, and brainstem module to construct a robotic arm control model to output torque control commands. This solves the problems in related technologies where, in complex working scenarios, the size and mass of the manipulated object significantly affect the working requirements of the robotic arm when performing different tasks, leading to reduced control accuracy and impaired versatility, making it unable to adapt to control tasks under complex load conditions.

1. The name of the design product: auditory brainstem evoked potential instrument. 2. The use of the design product: for screening and auxiliary diagnosis of autism, attention deficit hyperactivity disorder, schizophrenia, depression, anxiety and other diseases in children. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

Embodiments herein relate to systems, devices and methods for the treatment of equilibrium disorders and improving gait and balance. In an embodiment, a method of treating an equilibrium disorder is included. The method can include monitoring device wearer movement with a movement sensor, identifying a movement pattern consistent with an equilibrium disorder, estimating characteristics of the equilibrium disorder, and applying stimulation to at least one of the right ear, left ear, or brainstem of the device wearer of an ear-worn device. Other embodiments are also included herein.

This invention provides an automatic segmentation and scoring method and system for lesions in ischemic stroke of the brainstem, including preprocessing brain CT images; automatic segmentation of the brainstem; and acquisition of mirror brainstem images and a brainstem atlas containing the midbrain, pons, and medulla oblongata regions. stem The method involves region segmentation of brainstem and mirror brainstem images; construction of a brainstem infarction lesion detection and segmentation network model; the brainstem infarction lesion detection and segmentation network model contains three encoders, one decoder, and six difference calculation modules. Each encoder consists of three convolutional layers, each decoder consists of three deconvolutional layers, and the difference calculation module includes multi-scale pyramid convolutions and feature fusion modules at each scale; prediction scoring is performed based on the segmented lesions. The lesion detection and segmentation method of this invention can quickly, accurately, and objectively detect and segment lesions.

Provided is a real-time closed-loop brainstem stimulation system for alleviating hypertension, the system comprising: a nucleus tractus solitarius (NTS) stimulation unit attached to a subject and stimulating the subject's NTS with a preset parameter; an NTS activity measurement unit for measuring NTS activity; and a closed-loop control unit for receiving feedback on the NTS activity measured according to the stimulation by the NTS stimulation unit and controlling the parameter of the NTS.

A chimeric non-human mammal disease model, wherein (1) at least 30% of all the glial cells in the corpus callosum of the chimeric non-human mammal are human glial cells, and / or (2) at least 5% of all of the glial cells in the white matter of the brain and / or brain stem of the chimeric non-human mammal are human glial cells, and wherein the human glial cells comprise a combination of a first group of human glial cells tagged with a first label and a second group of human glial cells tagged with a second label that is distinguishable from the first label.