12 results about "Functional reconstruction" patented technology

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.

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 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 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.