995 results about "Neuroscience" patented technology

Devices and techniques are generally described for nonlinear tensor compression for neural networks. In various examples, a first tensor associated with a first layer of a neural network may be determined. One or more neural processing units of accelerator hardware may generate a first compressed tensor by applying a nonlinear compression function to the first tensor. The first compressed tensor may be stored in a first memory of the one or more computer-readable media. A first operation associated with a second layer of the neural network may be determined, where the first operation uses output of the first layer. The first operation may be performed based on the first compressed tensor.

Apparatus, systems, and methods for achieving thermally-induced renal neuromodulation by intravascular access are disclosed herein. One aspect of the present application, for example, is directed to apparatuses, systems, and methods that incorporate a treatment device comprising an elongated shaft. The elongated shaft is sized and configured to deliver a thermal element to a renal artery via an intravascular path. Thermally-induced renal neuromodulation may be achieved via direct and / or via indirect application of thermal energy to heat or cool neural fibers that contribute to renal function, or of vascular structures that feed or perfuse the neural fibers.

Wearable electronic device for physiological monitoring

To provide a skin treatment apparatus for remodeling the face shape using multi-frequency RF energy and a control method thereof for performing skin treatment using the RF energy having various frequencies different in RF energy delivery depth in tissue.SOLUTION: A skin treatment apparatus for remodeling the face shape using RF energy comprises: a main body comprising an RF generator and an RF modulator; a handpiece connected to the main body, and comprising an electrode at one side to allow the RF energy received from the main body to be delivered to skin; and a controller controlling the RF modulator to allow the RF energy having multiple frequencies to be delivered.SELECTED DRAWING: Figure 2

The present disclosure provides a construct comprising a coding sequence operably linked to a promoter, wherein the coding sequence encodes a vascular endothelial growth factor (VEGF) binding agent or a portion thereof. In some embodiments, a construct is an AAV construct. In some embodiments, an AAV construct is a part of an AAV particle. Compositions comprising constructs and AAV particles described herein can be useful in treating hearing loss, for example, hearing loss associated with vestibular schwannoma.

In some examples, a system is configured to use a neural network algorithm of a cerebral autoregulation model to determine a cerebral autoregulation status of a patient based at least in part on blood pressure of the patient over a period of time and regional cerebral oxygen saturation of the patient over the period of time.

The present application relates to the technical field of neuromodulation, and discloses a neuromodulation system and method for dual-task gated taVNS. The present application collects kinematic data and cognitive performance data of a patient performing a motor-cognitive dual task; obtains an objective maximum load paradigm according to the kinematic data and the cognitive performance data, obtains a subjective maximum load paradigm according to a subjective work load score, and combines the two to obtain a maximum intensity dual-task load paradigm; applies multiple trial dual-task training to the patient under the maximum intensity dual-task load paradigm, and in each trial, determines in real time whether to trigger transcutaneous auricular vagus nerve stimulation according to a dual-dimension gating condition, triggers to generate a stimulation signal when the cognitive correctness condition and the motor safety condition are both satisfied, and suspends the presentation of a new task during the stimulation duration. The present application realizes precise coupling of dual-task training and neuromodulation in the time dimension, and improves the timing specificity and individualization of neuromodulation.

The present invention relates to an apparatus, system, and method including a hierarchical deep learning model for analyzing large-scale pathology images in the form of Whole Slide Images (WSI) using a hierarchical deep learning model. More specifically, the invention relates to an apparatus, system, and method including a hierarchical deep learning model that divides a large-scale pathology image, which is a pyramid-shaped whole slide image composed of multiple magnification layers of high-magnification pathology images and low-magnification pathology images, into patches, thereby enabling more accurate analysis by applying the high-magnification pathology images to a segmentation model and generating faster analysis results by applying the low-magnification pathology images to a regression model.

This invention discloses a charge regulation circuit and related products. The charge regulation circuit is used to regulate the neutralization current during the stimulation and neutralization cycle of nerve tissue. The charge regulation circuit includes an accumulation charge storage module that stores the charge accumulated on the nerve tissue due to stimulation and neutralization, and generates a first voltage based on the accumulated charge. A first voltage acquisition module acquires the first voltage in real time during the neutralization process on the nerve tissue. A first control module outputs a first control signal in response to the first voltage meeting a first preset condition, and outputs a second control signal when the first voltage meets a second preset condition. The charge regulation module adjusts the parameters of the neutralization current on the nerve tissue according to the first or second control signal to make the charge amounts of the two oppositely polarized charges accumulated on the nerve tissue equal. This solution can achieve long-term charge balance.

An electrical stimulation device may include a handle having a proximal end, a distal end, one or more actuators, and a display. The electrical stimulation device may also include a probe attached to and extending from the distal end of the handle, the probe including a stimulation portion and a return portion, wherein a spacing between the stimulation portion and the return portion is adjustable.

The present invention relates to novel molecules that can be employed for the prevention, alleviation, treatment and / or diagnosis of diseases, disorders and abnormalities associated with alpha-synuclein (α-synuclein, A-synuclein, aSynuclein, A-syn, α-syn, aSyn, a-syn) aggregates, including, but not limited to, Lewy bodies and / or Lewy neurites, such as Parkinson's disease, Multiple System Atrophy, Lewy Body dementia (LBD; dementia with Lewy bodies (DLB) (“pure” Lewy body dementia), Parkinson's disease dementia (PDD)) or Diffuse Lewy Body Disease. The invention relates to alpha-synuclein binding molecules, in particular to alpha-synuclein antibodies or an antigen-binding fragment or a derivative thereof and uses thereof. The present molecules can also be used for determining a predisposition to such a disorder, disease or abnormality, monitoring residual disorder, disease or abnormality, or predicting the responsiveness of a patient who is suffering from such a disorder, disease or abnormality to treatment with a certain medicament.

The application provides an emotion regulation ability detection method and device based on a brain-computer interface. The emotion regulation ability detection method can adjust emotion evoking materials presented in a detection process and detection models and detection features used according to the age of a subject, so that the detection process can accurately adapt to test populations of different age groups, and the accuracy of the prediction results output by the detection model is effectively improved.

The application discloses application of T1R3 agonist sucralose in relieving Alzheimer's disease and related cognitive impairment, and aims at brain glucose metabolism disorder and cognitive decline problem, and the application takes sucralose as the only pharmaceutical active ingredient, corrects brain glucose metabolism disorder through targeting brain astrocyte sweet taste receptor T1R3, and then treats and relieves neurodegenerative diseases. The application is proved by animal experiments that cognitive dysfunction of AD model mice can be improved in a full range of molecular mechanisms, cell functions, tissue metabolisms and whole behavior, and a variety of dosage forms and medication strategies can be selected, and the application has good in-vivo safety and clinical transformation potential.

An apparatus for delivering stimulation energy to a patient is provided. The apparatus comprises an algorithm for determining a stimulation paradigm comprising one or more stimulation parameter settings, and an implantable system comprising an implantable device. The implantable device comprises at least one sensor for measuring evoked compound action potentials (eCAPs), muscle responses, and / or other neural responses, and multiple stimulation elements configured to deliver the stimulation energy to tissue based on the stimulation paradigm. The algorithm is configured to determine the stimulation paradigm based on the measured neural responses. Methods of delivering stimulation energy are also provided.

Systems, devices, and methods for affecting a patient's organ function by innervating one or more organs of the patient are described herein. Innervating one or more organs of the patient is induced via electrical stimulation to nerve fibers, such as afferent nerve fibers, of one or more of the patient's dorsal roots. Electrical stimulation to dorsal root nerve fibers is delivered using at least one intravenous electrode disposed within a vein of the patient proximate to the dorsal root nerve fibers.

A stimulation electric field display method, an apparatus, an electronic device, and a storage medium. The method comprises: in response to a model display operation, determining a target object and a brain tissue image model corresponding to the target object, wherein the brain tissue image model comprises at least one electrode model for deep brain stimulation (S110); in response to an electrode configuration operation, determining electrode configuration information and stimulation parameter application information of each electrode model (S120); and in response to an electric field display operation, determining program-controlled electric field information of the at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displaying the program-controlled electric field information on the displayed brain tissue image model (S130).

The application provides a sound stimulation-brain electrical response closed-loop analysis system and method, relates to the technical field of brain electrical data analysis, and comprises the following steps: obtaining real-time brain electrical data under sound stimulation based on a standardized interface, and performing artifact removal and data standardization operations to obtain standard brain electrical data; performing response latency analysis on the standard brain electrical data to obtain response latency data; performing response significance analysis on the standard brain electrical data to obtain response significance data; extracting an abnormal response event set from the standard brain electrical data, and performing context feature modeling and abnormal root cause analysis on the abnormal response event set based on the response latency data and the response significance data to obtain abnormal root cause data; and generating a brain electrical response analysis graph interface corresponding to the response latency data, the response significance data and the abnormal root cause data based on neural signal analysis logic, and visually displaying the brain electrical response analysis graph interface.

The present invention relates to a composition comprising eptinezumab and LuAG09222. This composition may be used, for example, to treat or prevent headache, pain, migraine, cluster headache, or endometriosis.

An implantable device that deliver neural stimuli to a neural pathway of a patient 108 in order to evoke neural responses 130 using implanted stimulation electrodes. A control unit configured to control the stimulus source to provide a first neural stimulus according to a first stimulation set. Then using one or more shorting pulse parameters of a first stimulation set, connect the stimulation electrodes. Measure an intensity of an evoked neural response in a captured signal window subsequent to a second neural stimulus. The captured signal window includes an artefact resulting from the first neural stimulus. The one or more shorting pulse parameters are configured to minimise a magnitude of the artefact in the captured signal window.

This application provides a method, device, electronic device, and computer-readable storage medium for detecting drowsiness. The method includes: acquiring user physiological data; the user physiological data includes human parasympathetic nerve activation parameters and body activity state parameters; determining whether the user is in an awake state based on the human parasympathetic nerve activation parameters and body activity state parameters; and, if the user is in an awake state, determining whether the user is in a drowsy state based on the human parasympathetic nerve activation parameters. Determining whether a user is in a drowsy state using human parasympathetic nerve activation parameters and body activity state parameters can improve the accuracy of drowsiness detection.

1. The name of the design product: artificial cochlea silicone sleeve. 2. The use of the design product: for artificial cochlea silicone sleeve. 3. The design features of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design features: perspective view.