15 results about "Conduction pathway" patented technology

The invention relates to an amplified reactance filter for transducer ultrasound. A reactance filter assembly includes a reactance filter acoustically coupled to a transducer operable to generate an audio frequency by air non-linear demodulation of an ultrasonic frequency, the reactance filter having a plurality of auditory conductive pathways tuned to introduce a radiation impedance to the transducer, therefore, the efficiency of the transducer is improved.

The present disclosure provides a peripheral nerve signal acquisition method and system. The method includes: wearing a wearable device on a human wrist, disposing a perturbation unit in the wearable device, and applying mechanical perturbations perpendicular to a neural pathway to a skin surface during electrical stimulation cycles; under the action of the mechanical perturbations, acquiring a first signal, a second signal, and a third signal; performing multi-channel time-delay encoding on the first signal and the second signal to generate an interference signal set with temporal phase differences; constructing an artifact template signal associated with the electrical stimulation based on the third signal; performing artifact cancellation processing on the first signal and the second signal; and performing spatial analytical analysis in combination with a peripheral nerve pathway map, identifying an initiation site and a conduction pathway of peripheral nerve discharges, and outputting authentic discharge signals of the peripheral nerves.

The invention belongs to the technical field of robot control, and discloses a central nervous system-based exoskeleton control method and system, and the method comprises the steps: collecting a central nervous signal in a human body, and carrying out the preprocessing of the central nervous signal, and obtaining a multi-dimensional nerve feature set; performing decoding analysis on the multi-dimensional neural feature set by utilizing a preset dynamic neural intention decoding model to obtain a human body motion intention, and generating joint motion parameters and a driving force control instruction of the exoskeleton robot by utilizing a collaborative model; and the exoskeleton robot is controlled to conduct joint movement, closed-loop feedback is constructed, and the driving force control instruction is adjusted in real time. According to the method, information loss or distortion caused by damage of a central nervous conduction pathway is effectively avoided, the adaptability to a central nervous injury patient is improved, the decoding accuracy is improved, the motion synchronization error is reduced, the control fluency and the man-machine coordination of the exoskeleton robot are improved, and the control safety of the exoskeleton robot is ensured.

The present invention discloses a brain age prediction method based on EEG-fMRI knowledge graph enhancement, which relates to the field of brain age prediction technology. The method comprises: for each target measurer, extracting activated brain region sequences based on their EEG data and fMRI data, then capturing similar subsequences of the two, aligning them, and using the EEG-fMRI knowledge graph established by brain region functional connectivity to prompt the brain region-brain network affiliation, brain region and brain network functional connectivity, and EEG-fMRI cross-validation supplementary relationships, merging them into semantic sequences, and finally inputting them into a CNN-Transformer model to output the corresponding brain age prediction results. By reversely outputting tokens, the method realizes the observation of the signal conduction pathway of resting brain activity. The present invention combines the temporal superiority of EEG data with the spatial superiority of fMRI data to improve the accuracy of brain age prediction.

Disclosed herein include methods, compositions, and kits useful for use in the treatment of cancer in a subject. The methods may include administering a PLK1 inhibitor (e.g., onvansertib) to the subject to inhibit a hypoxia signaling pathway in the subject to reduce or inhibit the progression of the cancer.

The disclosure provides a double-conductive-path gel electrode patch and a preparation method thereof, which can be applied to the technical field of health sensing monitoring. The preparation method of the double-conductive-path gel electrode patch comprises: dispersing polyvinyl alcohol, graphene oxide and trivalent iron ion-coordinated polydopamine in an aqueous solution to obtain a mixed solution; injecting the mixed solution into a mold, and performing a freeze-thaw cycle to make the mixed solution into a gel state to obtain the double-conductive-path gel electrode patch, wherein the freeze-thaw cycle comprises at least one freezing operation and at least one thawing operation.

In various embodiments a molecular circuit is disclosed. The circuit comprises a negative electrode, a positive electrode spaced apart from the negative electrode, and an enzyme molecule conductively attached to both the positive and negative electrodes to form a circuit having a conduction pathway through the enzyme. In various examples, the enzyme is a polymerase. The circuit may further comprise molecular arms used to wire the enzyme to the electrodes. In various embodiments, the circuit functions as a sensor, wherein electrical signals, such as changes to voltage, current, impedance, conductance, or resistance in the circuit, are measured as substrates interact with the enzyme.

Systems, devices, and methods for delivering conductive nanomaterials to a target location in a patient's heart to affect the patient's heart conduction system, such as delivering conductive nanomaterials into the ventricular septum of the patient's heart to improve an impaired heart conduction pathway, such as the left bundle branch.

The invention discloses a nasal delivery double-chain RNA / Mn < 2 + > nano-drug as well as a preparation method and application thereof in immunotherapy. And adding the polymer into a solution containing double-stranded RNA and manganese salt, and self-assembling to form the nasal delivery double-stranded RNA / Mn < 2 + > nano-drug. The invention provides a new technical scheme for the barrier of the BBB. The nano delivery system has the advantages in the aspects of overcoming the BBB and improving the in-vivo biological distribution of the drug, and the surface of the nano carrier is modified with a ligand targeted to an endothelial cell overexpression receptor, such as ApoE peptide and the like, so that the drug can be delivered to penetrate through the BBB; a non-invasive nasal-brain delivery strategy becomes a new scheme for improving drug availability and reducing toxic and side effects, the drug can bypass BBB and rapidly enter brain parenchyma through olfactory bulb and trigeminal nerve conduction pathways, and an immune drug delivered by the nasal cavity can rapidly enter nasopharynx-related lymphatic tissue (NALT) and is transferred to CLN through a lymphatic network around the nasal cavity, so that the immune drug can be rapidly delivered to the nasopharynx-related lymphatic tissue (NALT). Further, a potent local immune response aiming at the in-situ GBM is induced.

The invention relates to the field of medical education simulation training, in particular to an analogue simulation method and system for visual conduction path damage, and the method comprises the steps: collecting the positioning data of a student on a model containing a plurality of damage nodes, calculating the stability degree through the comprehensive evaluation of the data volatility and the spatial weight, and calculating the stability degree; screening out effective positioning data; performing dynamic clustering analysis on the effective data, identifying a mistaken touch mode and mapping the mistaken touch mode to a corresponding damaged node; and calculating the misjudgment rate of each node based on the correct identification times and the mistaken touch mode information, thereby identifying the teaching difficulty and adaptively adjusting the training content. Through data reliable processing, false touch mode fine analysis and quantitative feedback closed loop, the problems that an existing teaching tool is low in interaction precision and rough in evaluation are effectively solved, and the data reliability, the error diagnosis precision and the personalized teaching effect of simulation training are remarkably improved.

The present application relates to the field of medical education simulation training, more particularly, the present application relates to a visual conduction pathway injury simulation method and system, the method comprises: collecting the positioning data of students on the model containing multiple injury nodes, calculating the stability degree by comprehensively evaluating the data volatility and spatial weight, and screening out effective positioning data; dynamic clustering analysis is carried out on the effective data, the mis-touch mode is identified and mapped to the corresponding injury node; the misdiagnosis rate of each node is calculated based on the correct identification times and mis-touch mode information, and the teaching difficulties are identified and the training content is adaptively adjusted. The present application solves the problems of low interaction precision and rough evaluation of existing teaching tools through data reliability processing, mis-touch mode fine analysis and quantitative feedback closed loop, and significantly improves the data reliability, error diagnosis accuracy and personalized teaching effect of simulation training.

This invention relates to the field of ocular visual function rehabilitation and neuroelectrophysiological regulation technology. The invention discloses an ocular photostimulation matrix device, comprising: a housing; a display screen, power socket, power switch, and output socket disposed on the housing; a circuit board, a specific medical transformer, and a card reader chip assembly disposed inside the housing; and an output component connected to the output socket. This device is a non-invasive ocular rehabilitation device, breaking through the limitations of traditional vision correction and nerve repair technologies. Using 8-14Hz alpha waves as its core, it directly targets the core link of the visual nerve-central nervous system, fundamentally repairing visual conduction pathway disorders. It is non-invasive, has no usage restrictions, and is suitable for various visually impaired individuals. The device is easy to operate and can be used daily. It can induce endogenous light for preliminary fundus screening and can also address vision repair and brain nerve regulation. Supporting accessories further enhance the conditioning effect and device stability.

To provide a cauterization position determination device or the like suitable for determining a candidate of a position to be cauterized from measured data.SOLUTION: A cauterization position determination device 1 determines candidate cauterization positions, which are candidates for positions to be cauterized in a heart. A delay region processing unit 11 calculates a delay region in which the conduction velocity of excitation is delayed. In a convergence region processing unit 13, an excitation direction calculation unit 31 calculates a conduction direction of an excitation conduction pathway through which excitation is conducted in the heart, a width calculation unit 33 calculates the width of the excitation conduction pathway using the conduction direction, and a convergence region calculation unit 35 calculates the convergence region where the excitation conduction pathway converges from the calculated width. A cauterization position determination processing unit 17 determines candidate cauterization positions using the delay region and the convergence region.SELECTED DRAWING: Figure 1

The invention discloses a multi-mode pain sense conduction path intelligent interaction demonstration system and a construction method thereof, and relates to the technical field of biomedicine teaching demonstration equipment. In order to solve the defects that an existing pain sense demonstration device is in a static demonstration mode and cannot dynamically restore various pathological features, multi-source commands are prone to preempting conflicts, adaptation is tedious due to hardware parameter hard coding, and cross-scene expansion and maintenance cost is high, a brain region model, a trunk model, a stomach model and a nervous system model are fixed to a human skeleton model; the nervous system model is used for displaying a nerve conduction path so as to simulate a pain transmission path; the interaction module is used for inputting a control signal so as to control the nervous system model to display a corresponding nerve conduction pathway; the driving module is used for receiving a control signal of the interaction module; the driving module is used for displaying a corresponding nerve conduction path; the scheduling module is used for responding to a plurality of scheduling instructions according to a preset priority. The device is mainly used for intelligently demonstrating the multi-mode pain sense conduction pathway.