10 results about "Normal nerve conduction velocities" patented technology

The invention relates to the technical field of intelligent medical auxiliary diagnosis and neural function automatic evaluation, in particular to an NIHSS score automatic evaluation system for a stroke patient. Comprising a multi-mode induction and perception unit which is used as a front-end data entry and is used for collecting patient response in real time to generate a video stream containing depth and color information and a synchronous audio stream; the dynamic reference calibration unit is used for extracting kinematic characteristics to construct an individualized nerve reference template; the neural motion spectrum decomposition unit is used for generating a spectrum pathological feature vector for distinguishing myasthenia and ataxia; the opposite-side image rejection analysis unit is used for generating compensation and driving confidence for representing a real nerve driving intention; the cross-modal reflection analysis unit is used for generating a sensory pathway integrity index according to the nerve conduction velocity difference; and the collaborative scoring decision engine is used for mapping the multi-modal features into standardized NIHSS scores. According to the method, the interference of age and basic physique on scoring is effectively eliminated, and a high-precision comparison reference can be provided for subsequent abnormal judgment of the affected side.

The present application relates to a kind of myelin repair auxiliary method based on neural signal modeling.The method obtains the multi-modal neural signal data such as electroencephalogram signal of individual to be rehabilitated and is preprocessed, forms preprocessed data set;Subsequently, individualized time series modeling process is executed, and the time series characteristic representation including nerve conduction velocity recovery rate, phase consistency and neural pathway integrity is generated, and individualized calibration is carried out by dynamic baseline updating mechanism.The calibrated feature representation is input to the pre-trained deep learning inference engine.The inference engine outputs myelin repair index and imbalance risk score, which is used to represent the degree of repair and predict future abnormal risk.Based on the above index, a set of intervention parameters is generated, including electrical stimulation intervention parameters, virtual rehabilitation training task difficulty and rehabilitation training rhythm, and further forming control instructions to configure virtual rehabilitation training environment and electrical stimulation execution interface, so as to realize the individualized assistance and dynamic optimization of myelin regeneration repair.

The application relates to the technical field of intelligent medical auxiliary diagnosis and automatic evaluation of nerve functions, in particular to an NIHSS score automatic evaluation system for stroke patients. The system comprises a multi-modal induction and perception unit, which is used as a front-end data inlet and collects patient responses in real time to generate a video stream containing depth and color information and a synchronous audio stream; a dynamic reference calibration unit, which extracts kinematic characteristics to construct an individualized neural reference template; a neural motion frequency spectrum decomposition unit, which generates a frequency spectrum pathological characteristic vector distinguishing muscle weakness and ataxia; a contralateral mirror inhibition analysis unit, which generates compensation and driving confidence representing real neural driving intentions; a cross-modal reflection analysis unit, which generates a sensory pathway integrity index according to the difference in nerve conduction velocity; and a collaborative scoring decision engine, which maps multi-modal characteristics to a standardized NIHSS score. The application effectively eliminates the interference of age and basic physical fitness on the score, and can also provide high-precision comparison references for subsequent abnormality determination of the affected side.

The application provides a CIPN information fusion method and system based on multi-modal information, comprising: evaluating a subjective questionnaire of a to-be-tested person; evaluating walking speed and gait according to a walking video of the to-be-tested person; evaluating finger fine motor skills of the to-be-tested person; evaluating nerve conduction velocity of the to-be-tested person; evaluating brain function of the to-be-tested person; evaluating brain structure of the to-be-tested person; and constructing information fusion according to the subjective questionnaire, the walking speed and gait, the finger fine motor skills, the nerve conduction velocity, the brain function and the brain structure. Compared with a traditional NCI-CTCAE grading system and an EORTC QLQ-CIPN20 questionnaire, the application overcomes subjectivity and repeatability problems, and improves diagnostic accuracy and treatment effect.

The invention relates to a myelin sheath repair auxiliary method based on neural signal modeling. According to the method, multi-modal neural signal data such as electroencephalogram signals of a to-be-recovered individual are obtained and preprocessed, and a preprocessed data set is formed; then, an individualized time sequence modeling process is executed, time sequence feature representation containing indexes such as the nerve conduction speed recovery rate, the phase consistency and the neural pathway integrity is generated, and individualized calibration is carried out through a dynamic baseline updating mechanism. The calibrated feature representation is input to a pre-trained deep learning inference engine. The inference engine outputs a myelin sheath repair index and an imbalance risk score for representing a repair degree and predicting a future abnormal risk. An intervention parameter set is generated based on the indexes, the intervention parameter set comprises electrical stimulation intervention parameters, virtual rehabilitation training task difficulty and rehabilitation training rhythms, and a control instruction is further formed to configure a virtual rehabilitation training environment and an electrical stimulation execution interface, so that personalized assistance and dynamic optimization of myelin sheath regeneration and repair are realized.

The application provides an application of 3-(methylsulfonyl) propionitrile in preparation of a medicine for treating peripheral nerve adhesion diseases, relates to the field of biomedical technology, and is verified through a sciatic nerve adhesion mouse model that 3-(methylsulfonyl) propionitrile can effectively reduce the adhesion degree of nerves and peripheral tissues, and can significantly improve muscle atrophy symptoms; compared with the traumatic and high recurrence rate of surgical treatment, the drug is a non-invasive or minimally invasive treatment, has good patient tolerance, can effectively reduce treatment risks and rehabilitation costs, and has wider clinical applicability. Secondly, the drug plays a treatment effect through a double action mechanism: on the one hand, adhesion formation is inhibited, and nerve compression is released; on the other hand, nerve myelin sheath regeneration can be promoted, myelin sheath structure integrity is improved, nerve conduction velocity is improved, and the synergistic effect of 'adhesion release + nerve repair' is realized. Animal experiments prove that the drug can significantly improve the motion balance ability and gait function of model mice.

The invention provides a balancing stand detection method and device combined with myoelectricity sensing, and the method comprises the steps: applying platform disturbance in a preset direction, and synchronously collecting a myoelectricity signal and a platform motion parameter of a target muscle group of a user; and extracting the response duration and the muscle amplitude index of the electromyographic signal, and generating muscle group response characteristics. And outputting a neuromuscular function evaluation result based on the mapping relationship between the direction of the disturbance applied by the platform and the muscle group response characteristics. Wherein the response characteristics comprise that the reaction duration is used for quantifying the nerve conduction velocity. The muscle amplitude is used for quantifying the muscle power intensity. The bilateral muscle group response difference of the target muscle group is used to identify the collaborative imbalance. Whether the user muscle group is in an unbalanced state or not is detected through the method.

The invention relates to the technical field of auxiliary diagnosis, in particular to a children twitch disorder auxiliary diagnosis method, which comprises the following steps of: shooting a video of 1-5 minutes for a doctor seeing child, the frame number of the video being greater than or equal to 67 frames; acquiring head information of a doctor seeing child through the video; establishing a time axis for the video; performing blink identification, mouth opening identification and head shaking identification on the head information; judging whether a mouth is opened within 15-35ms after each blink on the time axis, if so, judging whether head shaking exists within 30-75ms after the first node, and if so, recording as complete twitch; according to the method, the eyes, the mouth and the head are independently identified by adopting an algorithm, and the complete twitch is defined in cooperation with the time axis and the nerve conduction velocity, so that normal blinking, normal mouth opening and normal head shaking can be prevented from being listed as abnormal conditions, the diagnosis efficiency is improved, and the diagnosis objectivity and accuracy are enhanced.

The invention provides the application of SCD1 in preparing the medicine for treating the nerve myelin sheath injury diseases, the application reveals that SCD1 serves as a brand-new target spot for treating the sciatic nerve myelin sheath injury diseases for the first time, the target spot blank of existing targeted lipid metabolism regulation myelin sheath regeneration medicine is filled, and all-around repairing can be achieved from the molecule, form and function level; on one hand, the SCD1 can up-regulate expression of genes such as PMP22 and MPZ and promote myelin sheath synthesis from the source, and on the other hand, the SCD1 can also increase the myelin sheath thickness, reduce the number of non-marrow nerves and improve the structural integrity and stability of regenerated myelin sheaths; meanwhile, the SCD1 can prolong the dwell time of the rotating rod, accelerate the nerve conduction speed and improve dyskinesia and nerve conduction abnormity after sciatic nerve injury; besides, regulation of endogenous lipid metabolism is taken as a core mechanism, an intervention mode is safe and controllable, an experimental system is mature and repeatable, and an efficient, stable and safe new strategy is provided for clinical treatment of sciatic nerve myelin sheath injury.

A compound represented by formula (I) and a preparation method thereof, and a pharmaceutically acceptable salt thereof, a metabolic precursor thereof, a metabolite thereof, an isomer thereof or a prodrug thereof; experiments show that the indole alkaloid not only promotes axon growth of peripheral sensory neurons, improves the nerve conduction velocity and anesthesia symptom of diabetic rats, but also promotes healing of foot ulcer wounds of diabetic rats, thus having good therapeutic effects on diabetic complication peripheral neuropathy and diabetic feet; they also show that the indole alkaloid also obviously reduces a degree of pulmonary fibrosis induced by bleomycin in mice, and plays a role in protecting lung tissues.