13 results about "Nerve motor" patented technology

Provided is a composition for preparing a medicament for treating diabetic peripheral neuropathy. The pharmaceutical composition comprises cobra venom phospholipase A2, or a combination of cobra venom phospholipase A2 and at least one additional drug for treating diabetic peripheral neuropathy. The diabetic peripheral neuropathy is characterized by a slowdown in motor nerve conduction velocity and / or sensory nerve conduction velocity of a patient, and / or hypoesthesia or loss of sensation in both lower limbs. The pharmaceutical composition can be used to ameliorate the clinical symptoms described above in patients with diabetic peripheral neuropathy, and belongs to the field of biopharmaceuticals.

The application discloses a functional rehabilitation auxiliary device, which comprises a base, a bearing arm is hingedly connected to the top of the base, a popliteal fossa support and a leg support are arranged at the top of the bearing arm, one end of the leg support is hingedly connected with the bearing arm, a conical turntable is arranged on one side of the bearing arm, an eccentric shaft is arranged on one side of the conical turntable, a connecting block is arranged on the base, the connecting block is rotationally connected with the eccentric shaft through a supporting rod, a dynamic elastic force driving group for driving the conical turntable to rotate is arranged at the bottom of the leg support, under the action of the dynamic elastic force driving group, when the leg support bears a load, the leg support swings downward in a lagging mode, and the rotating speed of the conical turntable is increased. The application is convenient for the motor nerve rehabilitation exercise of the single leg of a patient, and has the advantages that the patient's lower leg is stably stretched and bent during the rehabilitation training, the fatigue feeling of the lower leg stretching and bending movement is reduced, and the application also has the advantages that the thigh is lifted to improve the comfort of the hip joint.

The invention discloses an electrocorticogram motion trail prediction method based on a deep attention network, and belongs to the field of motor nerve decoding in a brain-computer interface. According to the method, the feature extraction and trajectory prediction performance of the ECoG electroencephalogram signals is improved. For the problem that an ECoG electroencephalogram signal has long-range time dependence, an ABL mechanism is introduced, local features of time dimension are extracted by using CNN in a feature extraction stage, and weight fusion is performed by using loss output by the local features and output loss of a main model, so that long-range features and short-time local features are concerned while long-range features are concerned; meanwhile, a Transform model is used for extracting global features in the feature extraction process; according to the method, the accuracy and robustness of model joint trajectory decoding are improved, and the method has remarkable advantages in the aspects of difficulty in effectively capturing a global time sequence mode, difficulty in capturing a complex mapping relation between an ECoG signal and a joint and the like.

The invention discloses an anesthetic patient finger activity monitoring device based on inertia measurement, and relates to the field of finger activity monitoring, the anesthetic patient finger activity monitoring device comprises a detector, a wiring end of the detector is fixedly connected with a data line, the other end of the data line is fixedly connected with a toggle clip type sensor, the toggle clip type sensor is clamped at a fingertip, and the detector is connected with a power supply. The measuring system comprises a sensor module, a signal processing module, a multi-mode data fusion module, a low-delay data transmission module and an environment adaptation and self-calibration module. By capturing the finger micro-motion signal in real time and being linked with the central monitoring system, the system is used for anesthesia depth dynamic evaluation and intraoperative risk early warning, the defect of motor nerve feedback in traditional anesthesia monitoring is overcome, high-precision finger micro-motion signal monitoring is achieved, sub-millimeter finger motion changes can be accurately captured, and the accuracy and accuracy of anesthesia monitoring are improved. Richer and more accurate original data are provided for anesthesia depth evaluation.

The application provides a cerebral apoplexy postoperative sign monitoring system, which is fused with a nerve motor function evaluation wristband and a head-mounted brain electrical impedance dynamic imaging device, and breaks through the blind area of postoperative monitoring. The wristband device collects upper limb electromyographic signals and joint motion mechanics parameters through a microneedle electrode array and a distributed piezoresistive sensor, drives a neural network to output a standardized motor score based on time-frequency domain features containing electromyography, joint angle, trajectory smoothness and grip force change rate, and is related to a clinical Fugl-Meyer scale; the imaging device adopts a multi-ring electrode array and an improved D-bar algorithm to reconstruct a brain electrical conductivity distribution map, constructs a multi-level decision tree early warning model by extracting impedance change rate Delta Z, spatial gradient entropy SGE and hemisphere asymmetry Asym, and realizes brain edema detection. Through multi-modal data fusion and minute-level response, the system solves the fragmentation problem of postoperative monitoring and provides precise decision support for cerebral apoplexy rehabilitation.

The application discloses a rat robot speed and direction control method based on a mesencephalon-mesolimbic olfactory cortex loop. The application induces a rat robot to complete motion starting in a stationary state through adjustable micro-electric stimulation on a mesencephalon MLR motion area and a flocculus nucleus group, collects nerve signals of "speed cells" and "direction cells" in a mesolimbic olfactory cortex MEC nucleus area, adjusts a rat robot stimulation parameter instruction set, and realizes rat motion grading control. The CnF and PPN nucleus groups of the mesencephalon motion area are taken as speed regulation instruction input points, and the flocculus is taken as a direction regulation instruction input point, so as to establish a speed and direction grading regulation instruction model, and develop a new type of rat robot which can control motion speed and motion direction in real time. The application can be used for establishing a rat robot motion state grading regulation instruction set and exploring a rat motion nerve regulation mechanism.

The present application relates to a novel differentiation factor for a direct cell-conversion of a somatic cell to a motor neuron and to a use thereof.

The present application relates to the technical field of Tibetan medicine, and particularly relates to application of a Tibetan medicine composition in preparation of a medicine for preventing and / or treating diabetic peripheral neuropathy, wherein the Tibetan medicine composition comprises the following raw medicines: turmeric, mace, sweet cinnamon, actinolite, licorice, artificial musk, dried ginger, Tibetan cumin, Tibetan aconite, Sichuan pepper and alkali flower, and the present application first discovers that the Tibetan medicine composition can improve the sensitivity of nerve endings of a diabetic peripheral nerve injury model mouse, relieve the symptoms of hypalgesia and limb numbness caused by diabetic peripheral nerve injury, and improve the motor nerve conduction velocity of the diabetic peripheral nerve injury model mouse, which indicates that the Tibetan medicine composition can prevent and / or treat diabetic peripheral nerve injury, prevent and / or treat diabetic peripheral neuropathy, and is a potential medicine for diabetic peripheral neuropathy.

Apparatus for actuating a target muscle of a patient include an electromyography (EMG), a multichannel cuff electrode (MCE), and a pulse generator having both an external component and an implantable component. The EMG receives weak input from the target muscle upon flexion, and the MCE can be implanted on or in a motor nerve that innervates the target muscle. The pulse generator drives a current between two or more channels of the MCE to induce flexion of the target muscle.

According to the post-stroke-operation sign monitoring system, the neural motor function evaluation wrist strap and the head-mounted electroencephalogram impedance dynamic imaging device are fused, and the post-operation monitoring blind area is broken through. The wrist strap device collects upper limb electromyographic signals and joint movement mechanical parameters through a microneedle electrode array and a distributed piezoresistive sensor, a neural network is driven to output standardized movement scores based on electromyographic time-frequency domain features, joint angles, track smoothness and grip strength change rates, and the standardized movement scores are related to a clinical Fugl-Meyer scale. According to the imaging device, a multi-ring electrode array and an improved D-bar algorithm are adopted to reconstruct an electroencephalogram conductivity distribution diagram, a multi-level decision tree early warning model is constructed by extracting the impedance change rate delta Z, the spatial gradient entropy SGE and the hemisphere asymmetry degree Asym, encephaledema detection is achieved, the system solves the problem of postoperative monitoring fragmentation through multi-modal data fusion and minute-level response, and the system has the advantages of being high in reliability and high in reliability. And accurate decision support is provided for cerebral apoplexy rehabilitation.

The application discloses a kind of stimulating electrodes for nerve motor function recovery after spinal cord injury, including catheter, stimulating electrode piece and guide wire;The cross section of the catheter is rectangular, two stimulating electrode pieces are a group, and a plurality of stimulating electrode pieces are arranged at fixed distance on the catheter, and each group of stimulating electrode pieces is arranged on the both sides outside the catheter respectively, and each stimulating electrode piece is connected with the outside by connecting the corresponding guide wire arranged in the catheter respectively;Soft barb is arranged above the same side of each stimulating electrode piece in the catheter.The stimulating electrode for nerve motor function recovery after spinal cord injury of the utility model is suitable for the electrical stimulation treatment of upper and lower limb motor dysfunction after spinal cord injury, can be applied to patients of different ages, and can effectively continuously stimulate the specific nerve root motor bundle of patient, with good curative effect.

The invention discloses a desloratadine derivative and application of the desloratadine derivative in preparation of a medicine for treating and / or preventing peripheral neuropathy. A Schwann cell model and diabetic peripheral neuropathy mice verify that the desloratadine derivative can significantly inhibit Schwann cell inflammation level and improve motor nerve conduction velocity and sensory deficiency, and has a significant effect on peripheral neuropathy, especially diabetic peripheral neuropathy.

The invention discloses a diabetic foot treatment system and a control method, and relates to the technical field of diabetic foot treatment.The diabetic foot treatment system comprises a multi-point temperature measuring unit, a laser positioning unit, a photographing recognition unit, an intelligent verification unit and a power adjusting unit; multi-source data such as training set image similarity, foot standard temperature and motor nerve conduction velocity are comprehensively analyzed through the intelligent verification unit, and the preliminary level is verified in combination with a preset confidence index formula, so that model prediction deviation caused by training data labeling errors or insufficient sample size can be effectively identified and corrected; through a preset direct adjustment rule, adjacent grade confidence index comparison and introduction of a medical expert determination mechanism, the accuracy of diabetic foot grade judgment is effectively improved; and secondly, the power adjusting unit dynamically calculates the output power of the radio frequency treatment equipment based on the finally determined diabetic foot grade and the real-time temperature data, so that accurate regulation and control of treatment parameters are realized.