22 results about "Functional reconstruction" patented technology

The invention relates to the field of medical dynamic monitoring, in particular to a dynamic monitoring system for a spinal cord injury reconstruction process. Comprising an acquisition and fusion module, a dynamic modeling module, a function evaluation module and an adaptation control module. According to the system, nerve and muscle electrophysiological signals are collected through a wearable surface electrode and a flexible microelectrode array, timing sequence errors are corrected in combination with a calibration sample, and multi-modal signal fusion is achieved. And constructing a topological sequence and time sequence dependence structure, and extracting an incubation period, an activation gradient and response dispersion by adopting a time sequence convolutional network. And identifying function transition and abnormal compensation behaviors through a function evaluation module, and outputting a neural pathway response sequence diagram. And the sampling frequency, the feature weight and the evaluation period are dynamically adjusted based on a Bayesian optimization strategy, and self-adaptive optimization of the monitoring strategy is realized. Therefore, precise modeling and efficient tracking of the neural pathway function reconstruction process are realized.

The invention relates to the field of closed-loop nerve regulation and function reconstruction, and discloses a closed-loop brain-spinal cord interface upper limb grasping function reconstruction method and system based on multi-modal biofeedback. According to the method, at least three kinds of feedback information such as joint angles, grabbing force and electromyographic signals are synchronously collected, and a comprehensive actual motion state is generated through weighted fusion; according to an error vector between an expected state and an actual state, a hierarchical adjustment strategy is creatively adopted to carry out differentiation and adaptive adjustment on parameters such as stimulation current intensity, frequency and pulse width; and fatigue indexes are calculated based on myoelectricity frequency domain characteristics (such as median frequency and average power frequency), and prospective intervention is carried out by superimposing a fatigue compensation strategy. The method effectively solves the problems that an existing system is low in control precision, insufficient in single feedback dimension information and insufficient in continuous motion ability, and the precision, adaptability and long-term stability of motion control are remarkably improved.

Disclosed in the present invention is a preparation method for a TPMS gradient structure of a 3D-printed personalized implant root. The method comprises: constructing a plurality of different types of implant root structure models; performing finite element simulation analysis on the implant root structure models; selecting an implant root structure model corresponding to a Gyroid structure; determining the porosity range of the Gyroid structure; designing the Gyroid structure as a gradient porosity Gyroid structure; and on the basis of the gradient porosity Gyroid structure, using a 3D printer to prepare a TPMS gradient structure of an implant root. The present invention combines a TPMS gradient structure with a 3D printing technique, such that the biocompatibility, mechanical property and personalization adaptability of an implant are improved, thereby promoting the effective integration of the implant with host tissue, and achieving a better functional reconstruction effect.

The invention provides a method for realizing accurate regeneration and functional reconstruction of a gingival structure in combination with regeneration induction, relates to the field of traction gingival structure regeneration and functional reconstruction, and relates to 4D bionic scaffold design, a cell activation and directional regeneration system, a microorganism-immune regulation and control network and real-time monitoring and self-adaptive repair. The 4D bionic stent is designed into a shape memory hydrogel matrix, a 4D response mechanism and a bionic micro-gradient structure. The shape memory hydrogel matrix is specifically composed of materials; according to the material, a shape memory hydrogel matrix is prepared from 60% of PVA, 30% of gelatin and 10% of an elastin system, temperature triggering is carried out, a response mechanism is started when the oral temperature is lower than 37 DEG C, the crystal glue matrix is attached to the curved surface of the gingiva, and the shape memory hydrogel matrix and the curved surface of the gingiva are in contact. The shrinkage rate of the hydrogel matrix is 15%. The method has the advantage that the regeneration and functional reconstruction of the gingival structure can be accurately realized.

The invention relates to the technical field of physiological data monitoring, in particular to an orthopedic postoperative patient physiological data analysis method and system.The orthopedic postoperative patient physiological data analysis method comprises the following steps that heart rate blood oxygen and limb activity data are collected, a heart rate fluctuation value, a blood oxygen change value and an activity range are extracted, and a multi-dimensional physiological feature sequence is constructed; and calculating a data change range in the sliding window of each dimension and a frequency change value of adjacent windows. According to the method, fine quantitative analysis of heart rate fluctuation, oxyhemoglobin saturation and limb movement amplitude is achieved by dynamically adjusting data time span and calculating indexes in a segmented mode, change characteristics of different recovery stages are adapted, data cleaning accuracy is improved through high-density region statistics and noise elimination, scientific induction of dynamic characteristics is ensured, and the method has good application prospects. In combination with feature extraction and trend analysis of an acute period, a functional reconstruction period and a stable period, comprehensive evaluation of inter-stage features is formed, and based on an offset rate, a prediction deviation value and abnormal signal trajectory labeling, the anomaly identification and real-time tracking capability is enhanced.

This invention provides a treatment system for promoting dental pulp repair using oral stem cells, belonging to the field of oral treatment technology. The system utilizes a dynamic gene regulation module, an adaptive intelligent scaffold, and a bio-digital fusion interface in synergy. Through the dynamic gene regulation module and the adaptive intelligent scaffold, the efficiency and therapeutic effect of dental pulp regeneration are significantly improved. The dynamic gene regulation module employs a light-controlled CRISPR system to perform real-time gene editing on dental pulp stem cells, dynamically adjusting according to the needs of the regeneration stage. The adaptive intelligent scaffold, based on 3D printing technology and manufactured using a digital model of the patient's teeth, can dynamically release growth factors and optimize the microenvironment. This combination of personalized design and dynamic regulation allows for adaptive adjustments to meet the specific needs of the patient, not only improving the repair efficiency of dental pulp tissue but also enhancing the success rate of functional reconstruction. This provides patients with dental pulp injury with a more efficient and precise treatment option, promoting the personalized development of oral regenerative medicine.

This invention discloses an intelligent bone implant for electric field-regulated bone growth and a method for preparing the implant. The surface of the intelligent bone implant for electric field-regulated bone growth has at least one coating structure, which includes, from bottom to top: a bottom electrode layer, a piezoelectric material layer, a top electrode layer, an insulating material layer, interdigitated electrodes, and an encapsulation coating layer; the bottom electrode layer and the top electrode layer are both connected to the interdigitated electrodes. The intelligent bone implant for electric field-regulated bone growth of this invention achieves the beneficial effects of promoting bone growth and accelerating the recovery and functional reconstruction of skeletal structure.

The invention discloses an application of a neuron-derived neurotrophic factor NDNF in promotion of regenerative repair and functional reconstruction of an injured heart, particularly relates to an application of the NDNF in a medicine for treating or improving the injured heart, a recombinant vector and a medicine, and belongs to the technical field of biological medicines. The invention provides application of NDNF in promotion of regenerative repair and functional reconstruction of damaged heart. The invention proves that the medicine prepared from the NDNF can be used for treating or improving the insufficiency and inflammation of the damaged heart, and particularly has a good treatment effect on the damaged heart caused by myocardial infarction, and the treatment effect specifically comprises the effect of reducing myocardial cell apoptosis and inflammation after myocardial infarction and the effect of inhibiting myocardial cell pathological hypertrophy after myocardial infarction due to overexpression of the NDNF. In addition, overexpression of the NDNF can also promote proliferation of myocardial cells after myocardial infarction.

The application provides a multi-modal covariant network discrimination method fusing electroencephalogram and functional magnetic resonance imaging, aims to reveal specific brain function connection modes corresponding to different motor imagery tasks, and predict motor imagery ability of subjects. The method realizes deep fusion and complementary representation of multi-source neural signals by jointly extracting degree centrality, betweenness centrality, closeness centrality and eigenvector centrality of EEG and fMRI, and constructing a cross-modal covariant network by calculating a Pearson correlation coefficient. The method effectively identifies potential brain function connection modes corresponding to different instructions of motor imagery, selects significant edges based on the correlation between the function connection matrix characteristics and the accuracy of the subjects, uses LASSO (Lasso) regression for leave-one-out prediction, and outputs the classification accuracy and key connection modes of the model under the optimal parameters, so as to realize accurate prediction of different motor imagery tasks. The method provides a new multi-modal neural information fusion strategy for brain-computer interface, neural rehabilitation and clinical function reconstruction, and has important application prospect and academic research value.

This invention discloses an Isl1-mimicking polypeptide, TAT-Isl1-ELE-1, containing 40 amino acids and consisting of a TAT sequence that promotes polypeptide entry into cells, a linker peptide, and a target sequence. The target sequence is amino acids 121-141 of the human Isl1 protein. The TAT-Isl1-ELE-1 polypeptide possesses Isl1-like functions and can effectively reprogram mouse spinal cord reactive astrocytes into motor neuron-like cells. Based on the amino acid sequence and spatial structure of this polypeptide, a novel small molecule drug can be designed, which can be synthesized in large quantities and is easy to operate clinically. This provides a new and viable approach for cell replacement therapy and regenerative medicine research after spinal cord injury (SCI), thereby achieving better SCI repair and functional reconstruction effects.

The invention discloses a machining tool for hole wall surface strengthening and function reconstruction, and belongs to the field of machining and surface engineering.The tool comprises a ball, a tool handle, a tool bit and a fixing mechanism; the ball holes are evenly formed in the inner side of the tool bit, the balls are installed in the ball holes, and the fixing mechanism is used for fixing the balls and preventing the balls from falling off from the interior of the tool bit. One or more rows of ball holes are formed in the axial direction of the tool bit, and the ball holes in each row are evenly distributed in the circumferential direction of the tool bit; according to the tool, surface strengthening and function reconstruction are conducted on the hole wall, the ball and the surface of the hole wall are rolled and cut through high-speed rotation of the tool, the surface of the hole wall is rolled, strengthened and reconstructed, the surface of the hole wall obtains low roughness, and therefore the high requirement for machining is met.

The present invention provides a method for constructing a chronic unpredictable negative stress model and a chronic unpredictable negative stress model and its use in the study of mental illness, belonging to the field of in vitro brain organoid model construction. Through dual verification of microelectrode arrays and single-cell sequencing, the present invention successfully constructed an in vitro brain organoid model that can simulate the core characteristics of chronic unpredictable negative stress, and revealed its potential neural network functional reconstruction mechanism and cellular molecular basis. This comprehensive research paradigm breaks through the limitations of traditional single technology platforms and provides an accurate, efficient, and highly human-relevant innovative research platform for the study of the pathogenesis of mental illness, especially diseases related to chronic stress such as depression, anxiety, etc., and the development of new treatment strategies.

The invention relates to the technical field of nuclear reactor safety, and discloses a signal prediction method, a fault diagnosis method and equipment for a primary loop sensor of a nuclear reactor, and the prediction method comprises the following steps: obtaining a real-time measurement time sequence of N physical sensors in a primary loop; inputting the input dimension into a fault-tolerant multi-parameter self-correlation long-short-term memory network, wherein the network has an output dimension which is the same as the input dimension; and outputting a multi-dimensional prediction vector representing an expected measurement value of each sensor in a fault-free state, wherein the multi-dimensional prediction vector is used for signal reconstruction of a control and safety protection system. The network is trained by injecting a preset fault into the fault-free historical data, and has strong fault-tolerant capability. The fault of the sensor needs to be confirmed on the basis of a preset expert system rule base and in combination with the operation condition of the current nuclear reactor, and only after the fault is confirmed by the expert system, functional reconstruction is started and synchronous alarming is performed. The method can effectively deal with local failure of the sensor, and provides a high-credibility alternative signal.

The brain-computer interaction mirror image therapy rehabilitation training system based on augmented reality comprises a healthy side limb movement acquisition unit, a mirror image presentation unit based on augmented reality, an electroencephalogram signal acquisition unit, an electroencephalogram signal identification unit and an audio output unit. According to the system provided by the invention, a real-time mirror image limb action video is provided for a subject through the mirror image presentation unit based on augmented reality, SSVEP can be induced when the subject watches the video, and the system collects the electroencephalogram signals of the subject through the electroencephalogram signal collection unit; and the activation condition states of the forehead region, the motion region and the visual region of the brain of the subject are monitored in real time based on the electroencephalogram signal identification unit, and when the participation degree of the subject is monitored to be insufficient, the participation degree of the subject is enhanced in the training process through voice prompt and temporary video, so that a closed-loop system is established, and neural recombination and functional reconstruction are promoted.

The invention discloses a multifunctional active nerve scaffold and a preparation method thereof, and belongs to the technical field of tissue engineering nerve scaffolds. The nerve scaffold is composed of a gel layer, a response layer and a cell layer. Wherein the gel layer has conductivity similar to that of nervous tissue and program-controlled deformation and tissue wet adhesion capability under the triggering of water or physiological liquid; the response layer has specific surface topological morphology and power generation capacity under the remote control of external fields such as light, ultrasound and magnetism, and can regulate and control migration and proliferation of cells in the cell layer and release of bioactive substances such as growth factors and exosomes based on topological morphology mediated biomechanical signals and bioelectrical signals generated under the remote control of the external fields. Based on the functions, the multifunctional active nerve scaffold can be used for tissue regeneration and functional reconstruction of nerve injury (such as brain, spinal cord, optic nerve and peripheral nerve). The invention also provides a preparation method of the multifunctional active nerve scaffold.

The invention provides an application of a pigment epithelium-derived factor in the aspect of treating or relieving corneal endothelial dystrophy and corneal endothelial dysfunction, in particular to an application of the pigment epithelium-derived factor in preparation of drugs for treating or relieving corneal endothelial dystrophy and corneal endothelial dysfunction. The PEDF is used for treating Fuchs corneal endothelial dystrophy for the first time, and it is proved that the PEDF can effectively relieve corneal endothelial cell injury, remarkably promote corneal transparency and thickness recovery, relieve corneal edema and promote corneal endothelial cell density, morphological repair and functional reconstruction. The method has good social value, PEDF medicine treatment has the advantages of being sufficient in source, easy and convenient to operate, low in treatment cost, small in risk and the like, and the requirements of corneal transplantation surgery in clinic can be reduced.

The present invention provides a smart on-orbit electro-hydraulic docking method, comprising an active end and a passive end; the passive end is a passive cavity structure, and the active end and the passive end have a universal interface, serving as a repeatable connection interface between the payload module and the aircraft, supporting on-orbit functional reconstruction of the aircraft; after the robotic arm provides initial docking conditions, the capture connection is completed according to the process of coarse correction-fine correction-disconnector plugging and forming an assembly; when separating, the separation is achieved according to the reverse process, that is, the mechanism unlocks, the disconnector is disconnected, and the assembly is separated in this order, and the active end and the passive end are subsequently transferred by the robotic arm. The present invention provides a smart on-orbit electro-hydraulic docking method, which can provide the aircraft with sufficient connection force and good connection stiffness during the locking stage, and has the characteristics of reliable connection; it also has the characteristics of high repeatability, simple and reliable structure, and lightweight.

The application discloses a lower limb deformity correction robot and belongs to the technical field of rehabilitation aids, which comprises a pasting type flexible corrector and a variable rigidity external fixator which are synchronously driven and used for the cooperative correction of lower limb soft tissues and skeletal hard tissues. The lower limb deformity correction robot provided by the application comprises the orthosis and the variable rigidity external fixator which are used for the cooperative correction of lower limb soft tissues and skeletal hard tissues, can realize the synchronous and cooperative correction of the soft tissues and the skeletal hard tissues, and is beneficial to the muscle-bone integrated physiological function reconstruction and repair of the lower limb deformity.

The invention provides a hip joint precision function reconstruction preoperative decision support method and device. The method comprises the steps that a CT image and an MRI image of a hip joint are acquired; segmenting and fusing the CT image and the MRI image to obtain a hip joint three-dimensional model; based on the hip joint three-dimensional model, determining a hip joint lesion type; based on the hip joint three-dimensional model and the hip joint lesion type, a hip joint preoperative planning scheme is determined. According to the method, the MRI image and the CT image are fused for planning, so that soft tissue in the image can be clearly recognized, bone joints in the image can also be clearly recognized, and lesion detection and preoperative decision support can be accurately carried out.

The application discloses a modified tool on-line temperature measuring system for surface function reconstruction and a temperature compensation method thereof, belongs to the tool temperature measuring technical field in mechanical modification processing, and carries out real-time monitoring and feedback on processing temperature, so that error compensation is carried out on a compensation scheme of a CNC machining center spindle origin translation strategy by taking the processing temperature as a compensation signal. According to the application, the temperature data containing electrical signals collected and converted by a wireless temperature monitoring module in the modified tool are taken as input, the signals are input into a single-chip microcomputer system, the modified processing thermal error amount of the CNC machining center is obtained through single-chip microcomputer calculation, the obtained modified processing thermal error amount is taken as an original compensation signal, the original compensation signal is sent to a CNC machining center controller through an I / O port line, the CNC system spindle reference origin is offset according to the principle of the CNC machining center origin translation method, and the offset is added to a control signal of a servo loop to realize the compensation of the processing thermal error amount of the CNC machining center spindle, so that the processing precision of the modified tool of the CNC machining center and the surface performance of the modified part are ensured.

The application relates to the field of closed-loop neuromodulation and functional reconstruction, and discloses a closed-loop brain-spinal cord interface upper limb grasping function reconstruction method and system based on multi-modal biological feedback. The method synchronously collects at least three kinds of feedback information such as joint angle, grasping force and electromyographic signal, generates a comprehensive actual motion state through weighted fusion, creatively adopts a hierarchical adjustment strategy according to an error vector between a desired state and an actual state, and differentiates and adaptively adjusts parameters such as stimulation current intensity, frequency and pulse width, calculates a fatigue index based on electromyographic frequency domain characteristics (such as a median frequency and an average power frequency), and superimposes a fatigue compensation strategy to perform prospective intervention. The method effectively solves the problems of low control precision, insufficient single feedback dimension information and insufficient continuous motion capacity of existing systems, and significantly improves the precision, adaptability and long-term stability of motion control.

The invention relates to the technical field of medical image navigation, in particular to a tunnel position determination system and method for anterior / posterior cruciate ligament reconstruction, and the system comprises a medical image processing module, a tunnel planning module, a navigation registration module and a display unit. And calculating a virtual tunnel position based on the parameterized anatomical rule base, and introducing a biomechanical simulation unit to optimize tunnel planning. In the operation, high-precision space registration is achieved through an optical navigation system, multi-view real-time navigation guidance is provided, and precise drilling can be completed in combination with a robot execution platform. According to the method, the problems that a traditional operation depends on experience, and static planning and dynamic functions are not matched are solved, spanning from anatomical reconstruction to functional reconstruction is achieved, and the operation precision and the postoperative effect are remarkably improved.