718 results about "Cognitive impairment" patented technology

The invention discloses a post-stroke cognitive impairment prediction method based on multi-modal feature fusion. The method comprises the steps that firstly, multi-modal information of a stroke patient is collected, wherein the multi-modal information comprises a three-dimensional brain MRI image, an EEG electroencephalogram signal and clinical medical record information; secondly, converting MRI into a tensor, and inputting the tensor into a multi-scale spatial-temporal feature extraction backbone network to obtain MRI modal features; the EEG electroencephalogram signals are subjected to electroneurographic signals and are combined with Transform, and EEG modal features are obtained; the clinical medical record information of the stroke patient is converted into semantic sentences, the semantic sentences are input into a two-channel semantic encoder for encoding extraction, and clinical medical record information features are obtained. And finally, inputting the MRI modal features, the EEG modal features and the clinical medical record information features into a three-modal fusion device to obtain fusion features, and outputting probability prediction through a classifier. The post-stroke cognitive impairment prediction method achieves accurate prediction of post-stroke cognitive impairment, and significantly improves robustness and medical interpretation.

The invention relates to the technical field of cognitive impairment detection, and discloses a cognitive impairment early warning method and device based on an electroencephalogram micro state and an eye movement trajectory, and the method comprises the following steps: S1, data acquisition, S2, electroencephalogram preprocessing, S3, electroencephalogram feature extraction, S4, eye movement feature extraction, S5, feature fusion, and S6, early warning judgment. According to the method, through independent convolution branch of electroencephalogram and eye movement features, a receptive field is expanded by utilizing cavity convolution to capture multi-scale features, and long-distance dependence is modeled by a self-attention layer; after tensor splicing, time sequence information is dynamically fused through a gating cycle unit (GRU), and cross-modal time correlation is captured. The method has the advantages that the multi-modal feature hierarchical extraction and self-adaptive modeling capability is enhanced, the complementarity fusion efficiency is optimized, meanwhile, by means of cavity convolution sparse connection, self-attention parameter sharing and GRU lightweight design, the model complexity and the calculation efficiency are balanced, and efficient feature representation is provided for cognitive impairment early warning.

The invention relates to the technical field of artificial intelligence and biomedical sensing, and discloses a cognitive disorder risk identification device and method integrating multi-modal physiological data, and the device comprises an EEG module, an eye movement module, an fNIRS module, an edge calculation module and an acceleration sensor; the EEG module collects EEG data, the eye movement module collects eye movement eye-tracing data, and the fNIRS module collects near infrared spectrum fNIRS data and inputs the data to the edge calculation module; the edge calculation module runs the multi-modal space-time attention fusion model to output a cognitive impairment risk assessment result by using the multi-modal space-time attention fusion model; the acceleration sensor operates based on an operation dynamic filtering algorithm of a motion accelerometer to inhibit signal drift caused by head motion. According to the invention, through the modularized head-mounted multi-mode edge device, the physiological data is collected and edge end processing and cognitive disorder recognition and screening are carried out in combination with the edge calculation module, so that early recognition and screening of neurodegenerative diseases can be conveniently and effectively carried out at low cost.

An exemplary system and method are disclosed that is configured to detect cognitive impairment (e.g., early cognitive impairment) or assess cognitive function by analyzing, via machine learning and artificial intelligence analysis, behavioral metadata collected from a smart app during the course when a subject is using a cognitive test instrument for cognitive tests that incorporate motor activity (e.g., drawing or writing). The machine learning and artificial intelligence analysis can execute features associated with the test taker's metadata (e.g., time spent on task or questions, changing answers, referring back to the previous question), drawing qualities (e.g., line straightness, completeness), among others.

A juvenile depression cognitive impairment subtype classification and prognosis prediction method relates to the technical field of medical treatment, and mainly comprises the following steps: performing clinical evaluation and therapeutic response evaluation on a subject, performing MRI and magnetoencephalogram data acquisition, constructing a whole brain MSN of the subject, identifying MSN abnormal characteristics, obtaining functional connection change of a frequency band when magnetoencephalogram is abnormal, and determining the cognitive impairment subtype classification and prognosis prediction of the cognitive impairment subtype of the subject. A subtype classification model is established by fusing the MSN and cognitive function evaluation data, and a prognosis prediction model is established by analyzing MSN abnormal features, functional connection changes of frequency bands during abnormality, multi-dimensional treatment reactions and high-risk behaviors. According to the method, different levels of fusion measurement are carried out on the juvenile depression with cognitive function impairment brain mechanism through multi-modal brain images, a subtype classification model with diagnosis and treatment values is established, and a prognosis prediction model with clinical transformation potential is constructed; therefore, a theoretical basis and a technical means are provided for individualized precise diagnosis and treatment of the cognitive impairment of the juvenile depression.

The invention relates to the field of preparation and application of biological peptides, in particular to a swelling hippocampal peptide and application of the swelling hippocampal peptide in preparation of a product for improving memory ability and cognitive impairment. According to the invention, a green controllable enzymolysis technology is utilized to obtain protein polypeptide which has the main molecular weight of less than 1000 Da and has nutritional, health-care and medicinal values, and four active peptide sequences with high biological activity are obtained by further research on the basis of the protein polypeptide.

The invention belongs to the field of medical artificial intelligence, and particularly relates to a multi-modal data acquisition and fusion method for Alzheimer's disease. The method comprises the following steps: firstly, synchronously acquiring eye movement, expression, voice, gait and grip strength data of a subject through a virtual reality multi-task normal form, and combining with an MoCA scale to score a result; then preprocessing and feature extraction are carried out on each modal data, and unified feature representation is constructed; on the basis, a cross-modal attention mechanism is adopted to realize interaction and weighted fusion of multi-modal features, and a unified fusion feature vector table is generated; and finally, outputting structured data organized according to task fragments for auxiliary evaluation and modeling of cognitive impairment. The method can effectively solve the problems that in the prior art, single-mode information is insufficient, and multi-mode data are difficult to align and fuse, has the advantages of being low in cost, easy to popularize and high in detection accuracy, and can be widely applied to early recognition and auxiliary diagnosis of the Alzheimer's disease.

The invention discloses a cognitive impairment intervention system and method based on general artificial intelligence, and the method comprises the steps: S1, collecting the physiological, behavior and cognitive state data of a patient, and carrying out the data preprocessing; s2, inputting a dual convolutional neural network to extract spatial-temporal features, and generating comprehensive cognitive state features; s3, time sequence clustering analysis is carried out, the key fluctuation period of the cognitive state is recognized, the decline trend is predicted, and the risk level is adjusted; s4, analyzing the emotional state of the patient in combination with a dynamic emotion recognition algorithm of micro-expression time sequence mapping, and optimizing an intervention scheme based on a user-defined emotion tag; s5, adjusting the intervention scheme by using an incremental learning method according to real-time feedback of the patient; and S6, optimizing the dual convolutional neural network by long-term training data, improving feature extraction and intervention precision, and realizing personalized long-term intelligent intervention. According to the method, multi-modal data and adaptive optimization are fused, accurate detection, personalized intervention and long-term optimization are realized, the rehabilitation efficiency is improved, and the life quality is improved.

The invention, which relates to the field of the intelligent accompanying system, discloses an interactive digital person accompanying system for the old with cognitive impairment, comprising a data acquisition module, an emotion recognition module, a first matching module, a second matching module, a personalized interaction generation module and a reinforcement learning adaptive module. The data acquisition module acquires multi-modal sensing data of a target old person; the emotion recognition module outputs an emotion label and an intensity value through feature extraction and Transform fusion; a first matching module screens corpus fragments according to emotion intensity triggering conditions; the second matching module performs secondary screening based on the retrieval weight; the personalized interaction generation module generates digital twin interaction data through probability distribution sampling; the reinforcement learning adaptive module dynamically adjusts the corpus weight according to the interaction reward value; according to the method, the dual guarantee of emotion guarding and physiological safety is realized, the anxiety emotion of the old with cognitive impairment is remarkably relieved, and the novelty of interaction and high emotion relieving efficiency can be kept.

The invention relates to the field of traditional Chinese medicine, and discloses a traditional Chinese medicine composition for treating cognitive impairment of Parkinson's disease and application thereof.The traditional Chinese medicine composition is prepared from, by weight, 180-220 parts of vinegar tortoise plastron, 90-110 parts of morinda officinalis, 90-110 parts of angelica sinensis, 90-110 parts of radix curcumae, 55-65 parts of rhizoma acori graminei, 55-65 parts of polygala tenuifolia, 180-220 parts of calcined dragon bone, 180-220 parts of caulis spatholobi and 1-3 parts of borneol. When all the medicines of the traditional Chinese medicine composition are combined, the compatibility of monarch, minister, assistant and guide is performed, so that the traditional Chinese medicine composition has the effects of tonifying kidney, promoting blood circulation, dispersing blood stasis and inducing resuscitation, can relieve cognitive impairments such as space navigation, space exploration, working memory and the like of a Parkinson's disease cognitive impairment model mouse caused by chronic hypoperfusion, and realizes the treatment effect on the Parkinson's disease cognitive impairment; good application prospects are realized.

The invention discloses an active peptide capable of improving cognitive impairment as well as a preparation method and application of the active peptide. The amino acid sequence of the active peptide is shown as SEQ ID NO: 1, 2, 3, 4, 5 or 6. The invention aims to provide a novel active peptide as well as a preparation method and application thereof aiming at the problems of limited means and unstable effect of improving cognitive impairment in the prior art, the active peptide prepared by the invention can improve the problems of learning and memory impairment and cognitive function decline to a certain extent, enriches technical approaches for improving cognitive impairment, and has a wide application prospect. And a new application choice is provided for related fields.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a multi-mode early cognitive impairment screening method and system based on medical history information.The method comprises the steps that a first electrode plate and a second electrode plate are arranged at the forehead position and the occipital position of the brain of a user to be detected in advance; the third electrode plate and the fourth electrode plate are arranged on the left side of the brain side by side, and the fifth electrode plate and the sixth electrode plate are arranged on the right side of the brain side by side. And obtaining a disturbance coefficient set of the to-be-detected user under the reference detection mode combination, inputting the disturbance coefficient set into a pre-trained early cognitive impairment screening model, and predicting to obtain a prediction probability value of the early cognitive impairment of the to-be-detected user, and by adopting the scheme to screen the early cognitive impairment, the accuracy is high, the universality is strong, and the accuracy is high. The method can be applied to screening of people in communities, nursing homes and the like on a large scale.

The invention discloses an intestinal bacterial composition for improving a cognitive function and relieving neuroinflammation and an application of the intestinal bacterial composition, and belongs to the technical field of biomedicine and microbiology, the intestinal bacterial composition is composed of a Lachnospiraceae bacterium, a Bacteroides multiforme and a Roseburiatestinae bacterium, and the intestinal bacterial composition is prepared from the following raw materials of the following raw materials of the intestinal bacterial composition: the Lachnospiraceae bacterium, the Bacteroides multiforme and the Roseburiatestinae bacterium, the Roseburiatestinae bacterium, the Roseburiatestinae bacterium, the Roseburiatestinae bacterium, the Roseburiatestinae bacterium, the Roseburiatestinae bacterium and the like. Experimental research results show that a modular synergistic effect exists among the helicobacter hirsuticus, the bacteroides multiforme and the Roche enterobacter, and the pharmaceutical composition has a remarkable neuroprotective effect on a cognitive impairment mouse model and an Alzheimer disease mouse model, can improve the cognitive function and relieve neuroinflammation, and can be used for preparing a neuroprotective agent for treating the cognitive impairment mouse model and the Alzheimer disease mouse model. A new thought and method can be provided for treatment of cognitive impairment related diseases and neuroinflammation related diseases.

The application discloses a kind of cognitive impairment early screening and diagnosis system based on multi-modal data, including following module: (1) multi-modal data acquisition module, for obtaining image data, gene data, behavior data and clinical narrative information;The clinical narrative information includes at least two kinds of patient complaint text, interference factor hook item, symptom time axis;(2) causal purification module, for filtering the pseudo-correlation between multi-modal data by clinical narrative anchoring and reverse intervention deduction, including: narrative anchoring unit: based on preset causal conflict rule base, through structured clinical narrative field identification data conflict, trigger freezing or weight reduction operation;Intervention deduction unit: generate the reverse intervention verification package containing low-cost intervention measures and review plan, and update causal rule base based on review data;The application breaks through the statistical correlation limitation of traditional technology, realizes the upgrade of diagnosis and treatment paradigm from "correlation" to "causality".

The present invention relates to a communication system and method designed for patients in clinical settings who face challenges using standard communication devices. This system includes a mobile application and associated devices that establish a secure, asynchronous communication channel between clinicians, patients, and their support networks. Authorized users can record and send voice messages and other media, which are automatically played on the patient's device without requiring active operation. The system is tailored for ease of use, accommodating patients with severe physical or cognitive limitations through hands-free operation and simple commands. It adapts to the patient's condition, pausing messages during rest or medical procedures and resuming when appropriate. The system also features cross-linguistic messaging, translating and synthesizing voice messages across languages while maintaining the speaker's voice. Additional features include support for rich media, automatic transcription, and AI-driven content analysis. Secure, encrypted channels ensure privacy, complying with healthcare regulations. This invention enhances emotional connection and support for isolated patients, acting as a virtual visitation tool.

The invention relates to the field of medicine synthesis, and discloses a GLP-1 / GIP / GCG tri-agonist compound. The GLP-1 / GIP / GCG three-agonist compound is used for preparing a medicine composition for treating diseases, and the application of the medicine composition in preparing a medicine for treating at least one of the following diseases, namely, the GLP-1 / GIP / GCG three-agonist compound, and the GLP-1 / GIP / GCG three-agonist compound. The diseases include type II diabetes mellitus, impaired glucose tolerance, type I diabetes mellitus, obesity, hypertension, metabolic syndrome, dyslipidemia, cognitive impairment, atherosclerosis, myocardial infarction, coronary heart disease, cardiovascular disease, stroke, inflammatory bowel syndrome and / or dyspepsia or gastric ulcer, hepatic fibrosis disease and pulmonary fibrosis disease.

The invention discloses an application of indole-3-propionic acid as a biomarker in early warning of cognitive impairment after stroke. According to the application disclosed by the invention, the indole-3-propionic acid is confirmed as the biomarker of cognitive impairment after stroke through large-scale screening, and the indole-3-propionic acid belongs to a biomarker of a metabolite type, so that noninvasive sampling is facilitated, content fluctuation in a body can appear in a short time after stroke, and the cognitive impairment can be identified. The risk degree of cognitive impairment can be obtained by detecting within three months after stroke, the time node is earlier than that of conventional clinical diagnosis, and timely discovery and treatment are facilitated.

The invention provides a language learning dynamic resource configuration and interaction system based on an internet platform, relates to the technical field of data processing systems, and provides a double-layer cascade diagnosis mechanism. Through a first calculation module, a state anomaly score is calculated based on the stability of user interaction behaviors instead of simple correctness, so that beneficial struggling and harmful fatigue are accurately distinguished; when the score exceeds a threshold value, a second calculation module is activated, a specific learning fragment is analyzed in combination with eye movement trajectory data, and a cognitive deviation value for quantifying specific cognitive impairment is calculated; on one hand, through accurate state recognition, wrong intervention during deep thinking of the user is avoided, and the learning heart stream is effectively protected; and on the other hand, through accurate cognitive attribution, the system can provide targeted accurate assistance, the tutoring efficiency and the learning effect are improved, and intelligent teaching upgrading is realized.

The invention relates to a pharmaceutical composition comprising benzgalantamine and uses and methods for the preparation thereof. The present invention provides a pharmaceutical composition in the form of a tablet, said tablet comprising a tablet core, wherein said core comprises benzgalantamine (ALPHA-1062) or salt thereof, and an enteric coating, wherein said enteric coating is configured for dissolution at pH 5.5 and above. The pharmaceutical composition could be used in the treatment of a brain disease associated with cognitive impairment and / or with a cholinergic deficit. The invention further provides a method for preparing the pharmaceutical composition.

The invention relates to the technical field of medical treatment, and discloses a patient cognitive impairment recognition method and system and electronic device.The method comprises the steps that patient original data are obtained, and the patient original data comprise clinical biochemical data, image data and cognitive behavior data; preprocessing the original data of the patient to obtain preprocessed data; feature extraction is conducted on the preprocessed data, key features are obtained, and the key features comprise clinical biochemical features, image features and cognitive behavior features; fusing the clinical biochemical features, the image features and the cognitive behavior features to obtain fused features; and determining a cognitive impairment recognition result based on the fusion features and the cognitive impairment recognition function. According to the embodiment of the invention, the early detection rate of cognitive impairment of the pituitary adenoma patient is improved, missed diagnosis and misdiagnosis are reduced, and the early warning cognitive risk when obvious clinical symptoms do not appear in cognitive impairment recognition of the pituitary adenoma patient is reduced.

The invention relates to the field of medicine synthesis, and discloses a GLP-1 / GIP / GCG tri-agonist compound. The GLP-1 / GIP / GCG three-agonist compound is used for preparing a medicine composition for treating diseases, and the application of the medicine composition in preparing a medicine for treating at least one of the following diseases, namely, the GLP-1 / GIP / GCG three-agonist compound, and the GLP-1 / GIP / GCG three-agonist compound. The diseases include type II diabetes mellitus, impaired glucose tolerance, type I diabetes mellitus, obesity, hypertension, metabolic syndrome, dyslipidemia, cognitive impairment, atherosclerosis, myocardial infarction, coronary heart disease, cardiovascular disease, stroke, inflammatory bowel syndrome and / or dyspepsia or gastric ulcer, hepatic fibrosis disease and pulmonary fibrosis disease.

The invention discloses a system and method for performing cranial nerve stimulation based on olfaction, hearing and synchronous magnetomotive stimulation, and the system comprises a magnetic therapy bearing main body which is a magnetic therapy helmet, serves as a basic bearing structure of the system, and is used for installing all functional assemblies, providing magnetic therapy physical auxiliary stimulation, and achieving the cooperation of magnetic therapy and multi-mode stimulation; the olfactory stimulation subsystem is used for providing olfactory stimulation with precise regulation and control; the auditory stimulation subsystem is used for providing personalized audio stimulation; the magnetomotive stimulation subsystem is used for providing magnetomotive stimulation; the nerve stimulation cooperation subsystem is used for planning multi-mode stimulation as a whole and achieving regulation and control. Through the synergistic effect of olfactory stimulation, auditory stimulation and magnetomotive stimulation, three major neural pathways of olfactory, auditory and somatosensory can be activated at the same time, multi-dimensional nerve resonance is formed, the brain wave synchronization degree is remarkably improved, and the adjuvant therapy effect on Alzheimer's disease, cognitive impairment and other diseases is superior to that of single-mode stimulation.

Utilizing illuminated pathways to guide a user with cognitive impairment includes storing a predefined sequence of daily activities for the user; detecting a current location of the user in an indoor environment in real-time using at least one environmental sensor; activating selected light-emitting elements to create a first illuminated pathway between the current location and a first target location based on the predefined sequence of daily activities corresponding to the user; presenting at least one of task-specific audio and visual instructional content on a display device at the first target location for a current activity in the sequence; monitoring completion of the current activity through the at least one environmental sensor; deactivating the first illuminated pathway upon detecting arrival at the first target location; and advancing to a next activity in the sequence upon verifying completion of the current activity by illuminating a second pathway to a second target location.

The invention relates to the technical field of biological medicines, in particular to Hangzhou white chrysanthemum-derived exosome-like nano-vesicles as well as a preparation method and application thereof. Chrysanthemum morifolium ramat nano-vesicles are prepared from compositae plants through a high-speed centrifugation method, the average particle size of the nano-vesicles is 68 nm, and the Zeta potential is-19.50 + / -1.10 mV. The nano vesicles can effectively protect nerve cells and improve anxiety behaviors and cognitive impairment of SAE mice. The compound has a good application prospect in preparation of medicines for treating neuroinflammation and SAE.

The invention relates to a plant lactobacillus with effects of dispelling effects of alcohol, protecting the liver and restoring consciousness and application of the plant lactobacillus. The plant lactobacillus is a plant lactobacillus BGI-J9 strain, and the preservation number of the plant lactobacillus is CCTCC NO: M 20242630. The invention further discloses a preparation method of the plant lactobacillus with the effects of dispelling effects of alcohol, protecting the liver and restoring consciousness and application of the plant lactobacillus with the effects of dispelling effects of alcohol, protecting the liver and restoring consciousness. The strain has excellent tolerance to gastric acid, intestinal juice and cholate in a gastrointestinal tract system, can survive in the gastrointestinal tract, and provides a basis for continuously playing a probiotic effect; the compound has excellent inhibition capability on common intestinal pathogens; free radicals can be removed, and oxidative damage to the body is reduced; good alcohol metabolism enzyme synthesis capability and alcohol metabolism promoting potential are realized; the strain also has an excellent improvement effect on alcohol-damaged mice, specifically, the metabolism of ethanol and acetaldehyde in a body is accelerated, the occurrence time of drunkenness is obviously delayed, and the sobering time is shortened; intestinal injury and systemic inflammation caused by alcohol are improved; liver oxidative stress caused by alcohol is improved, and the occurrence and development process of alcoholic fatty liver is delayed; and cognitive function impairment caused by alcohol is improved.

The invention discloses a cognitive impairment risk intelligent matching intervention system based on multi-modal data, and belongs to the technical field of cognitive impairment, and the cognitive impairment risk intelligent matching intervention system specifically comprises the following steps: collecting a tactile interaction sequence and a face video data stream when a user executes a cognitive intervention task, and constructing an original multi-modal data set; extracting tactile operation track features and reconstructing a heart rate variability sequence, and generating a synchronous multi-mode feature set; identifying a difference interval of state fluctuation and extracting behavior and physiological features in the interval to form an instant physical and mental load parameter set; in combination with an interaction efficiency index in the task execution record, generating a joint state feature vector, and outputting a personalized adaptation instruction through a pre-trained sub-state-parameter association model; and constructing an adaptive strategy model by using the multi-modal features and an adaptive instruction to realize millisecond-level dynamic adjustment from the real-time multi-modal features to task parameters. According to the method, real-time perception and accurate matching of the cognitive emotion load of the user are realized, and the individuation degree and instantaneity of intervention are improved.

The invention discloses a diabetes cognitive impairment method based on metabonomics analysis and prediction, and relates to the technical field of biological information, and the method comprises the following steps: S1, obtaining metabonomics data and immunomics data from a peripheral blood sample of a diabetic patient, extracting relevant time sequence data aiming at glucose metabolism, and calculating the glucose metabolism related time sequence data; processing the sequence data by adopting a time sequence analysis algorithm to obtain time sequence change characteristics; s2, constructing a cross-omics interaction network according to time sequence change characteristics, integrating an incidence relation between metabolite concentration and immune factor expression, and setting a dynamic interaction mode; according to the diabetes cognitive impairment method based on metabonomics analysis and prediction, through multi-omics data integration and dynamic network analysis, the precision and reliability of diabetes cognitive impairment mechanism analysis are remarkably improved, and a theoretical basis is provided for precise intervention.

The invention discloses a risk assessment method for rheumatoid arthritis accompanied with cognitive impairment based on big data, and belongs to the field of data feature extraction, and the method specifically comprises the steps: carrying out the unified calling of collected clinical, laboratory and iconography features as an original feature set, and completing the preprocessing through multiple interpolation and Z-score standardization; inputting the original feature set into a self-attention network, and generating interaction feature representation for mining high-order interaction; low-dimensional potential feature vectors are compressed, and combined training is carried out through reconstruction and discriminant loss; inputting the potential feature vectors into an XGBoost model, and screening out a preliminary candidate feature subset; performing global and local importance evaluation on the candidate feature subsets by adopting SHAP, and iteratively rejecting features of which the contribution degrees are lower than a threshold value epsilon until the final feature subset is stable; and respectively inputting the final feature subsets into the simplified ResNet and LightGBM to obtain two groups of risk scores, and then generating a fusion risk score through weighted fusion.

The invention provides a cognitive impairment monitoring method and system for a senile deaf person group. The method comprises the following steps: acquiring cognitive scale data of the senile deaf person group implanted into an artificial cochlea at different evaluation times; converting the cognitive scale data into standardized cognitive scale data based on a preset scoring standard; based on a plurality of preset signal-to-noise ratio levels, obtaining a processing signal of the artificial cochlea and a response behavior signal of the senile deaf group; filtering the processed signal to obtain a filtered audio signal, a response correctness result and a response parameter; and performing correlation analysis on the response correctness result, the response time parameter and the standardized cognitive scale data to generate a trend curve representing the change of the cognitive function of the senile deaf people group along with time so as to realize cognitive impairment monitoring of the senile deaf people group. According to the technical scheme provided by the invention, the dynamic change of the cognitive function of the senile deaf people is accurately monitored, and the accuracy of early recognition of cognitive impairment is improved.

The invention relates to the technical field of related drugs for nerve injury caused by heavy metal pollution, in particular to application of a compound for inhibiting phosphorylation of ARMC10 in preparation of drugs for antagonizing tin-induced nervous system injury. Exposure of trimethyltin chloride induces nerve cell mitochondrial dysfunction, and the key mechanism is ARMC10 serine 43 site abnormal phosphorylation. Phosphorylated protein causes excessive mitochondrial fission, membrane potential collapse and energy metabolism disorder, resulting in neuron damage. Based on the target spot, a compound for antagonizing tin-induced nervous system injury is obtained through screening, protein phosphorylation can be specifically inhibited, mitochondrial dynamic unbalance and dysfunction induced by trimethyltin chloride are effectively reversed, and neurotoxicity is relieved. According to the technical scheme, the technical problem that in the prior art, no medicine for effectively antagonizing tin-induced nervous system injury exists can be solved, and the compound has the application potential for treating the nervous system injury and cognitive impairment caused by tin exposure.