575 results about "Cognitive impairment" patented technology

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.

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.

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, 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 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 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 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.

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 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.

The invention discloses a cross-crowd wearable ECG emotion recognition method based on a hybrid convolution-Mama network. The method comprises the following steps: S1, constructing a multimedia emotion induction experiment normal form for old people and cognitive impairment groups, and collecting wearable ECG data; s2, the collected original electrocardiosignals are subjected to standardization preprocessing; s3, constructing a hierarchical scale perception convolution module to perform multi-scale morphological feature extraction on the preprocessed electrocardiogram data; s4, performing physiological baseline remodeling on the feature map by using a non-local channel convolution attention mechanism; s5, constructing a bidirectional state space model based on a Mamba2 architecture, and carrying out long-time-history time sequence dependence modeling; and S6, fusing the spatio-temporal features to carry out emotion category probability prediction and implement personalized model fine tuning. According to the method, core challenges in ECG emotion recognition can be successfully solved, and a complete processing link from multi-dimensional sensing of signals to individualized noise filtering to efficient context understanding is constructed.

The invention discloses an ophthalmology AI intelligent ward control system and method based on voice interaction. The system comprises an anti-noise voice acquisition unit, a multi-modal identity verification unit, a specialized semantic analysis unit, a medical rule engine unit, a safety protection unit, a multi-modal feedback unit and a dynamic optimization unit. Medical equipment noise is filtered out through a microphone array and an adaptive beam forming technology, and an instruction is analyzed in combination with a dialect recognition engine; executing triple identity verification, and performing forced superposition authentication on the cognitive impairment patient; calling an ophthalmology knowledge base to identify the risk keyword and generate a structured instruction; dynamically regulating and controlling the environment according to the eye disease type, and intercepting violation settlement according to a medical insurance rule; precise equipment voice control is forbidden, and when an emergency keyword is triggered, an OCT image is pushed preferentially and is directly connected with a physician; a big-character highlight interface and tactile pulse feedback are provided for the visually impaired patient, and data are synchronized to the HIS system in real time; and the dynamic optimization unit continuously updates the knowledge base and the medical insurance model. According to the invention, the instruction identification precision, the medical safety and the service suitability of the ophthalmology ward are obviously improved.

The invention discloses a perioperative cognitive impairment predicting and monitoring device, relates to the technical field of medical instruments, and aims to solve the problem of low accuracy of perioperative cognitive impairment predicting and monitoring for children in the prior art. An electroencephalogram signal acquisition module, an eye movement tracking module, a behavior interaction module, a physiological parameter monitoring module and a data processing and analyzing module are integrated in the head-mounted VR glasses; the electroencephalogram signal acquisition module is used for acquiring an electroencephalogram signal of a child, processing the electroencephalogram signal and then transmitting the electroencephalogram signal to the data processing and analyzing module; the eye movement tracking module is used for capturing motion images of eyeballs of children, obtaining fixation points, eye jump frequencies and pupil diameter change parameters of the eyeballs and transmitting the parameters to the data processing and analyzing module. The method has the advantage that the accuracy of predicting and monitoring the cognitive impairment in the perioperative period of children is improved.

The invention belongs to the technical field of microorganisms, and relates to lactobacillus acidophilus LA4 and application thereof. The classification name of the lactobacillus acidophilus LA4 is lactobacillus acidophilus, the lactobacillus acidophilus LA4 is preserved in the China General Microbiological Culture Collection Center (CGMCC) on July 9, 2025, and the preservation number of the lactobacillus acidophilus LA4 is CGMCC No.35144; the preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The strain can significantly improve cognitive impairment of an elderly behavior cognitive impairment model mouse and enhance the learning and memory ability of the mouse by reducing deposition of beta amyloid protein in the brain of the mouse, inhibiting the activity of acetylcholin esterase, regulating and controlling the neurotransmitter level, relieving brain inflammatory response, reducing nerve injury, promoting synaptic regeneration and the like. The strain provided by the invention provides a potential treatment scheme for preventing or improving senile behavioral cognitive impairment, and has important development and application values.

The invention relates to the technical field of cognitive impairment noninvasive screening, and discloses a cognitive impairment noninvasive screening system and method.The system comprises a physiological sensing end, a feature collaboration end, an intelligent decision-making end and a visual report end, by arranging the physiological sensing end, 5-meter-distance non-contact detection is achieved, the feature collaboration end is connected with the intelligent decision-making end, and the visual report end is connected with the feature collaboration end; discomfort and signal interference caused by a traditional contact type electrode are avoided; the problem of asynchronous data fusion is solved by setting a feature collaboration end; according to the method, the dependence of traditional screening on contact equipment and professionals is broken through, high-precision and low-cost cognitive impairment general screening is realized, and the method is suitable for community medical treatment and family health monitoring scenes.

The present disclosure relates to compounds of formula (I) that are useful as modulators of α7 nAChR, compositions comprising such compounds, and the use of such compounds for preventing, treating, or ameliorating disease, particularly disorders of the central nervous system such as cognitive impairments in Alzheimer's disease, Parkinson's disease, and schizophrenia, as well as for L-DOPA induced-dyskinesia and inflammation.

Provided herein are 19-nor C3,3-disubstituted C21-pyrazolyl steroids of Formula (I):and pharmaceutically acceptable salts thereof; wherein , R1, R2, R3a, R3b, R4a, R4b, R5, R6, and R7 are as defined herein. Such compounds are contemplated useful for the prevention and treatment of a variety of CNS-related conditions, for example, treatment of sleep disorders, mood disorders, schizophrenia spectrum disorders, convulsive disorders, disorders of memory and / or cognition, movement disorders, personality disorders, autism spectrum disorders, pain, traumatic brain injury, vascular diseases, substance abuse disorders and / or withdrawal syndromes, and tinnitus.

The invention provides a bracelet anti-lost fence construction method and system for old people for cognitive impairment, and the method comprises the steps: collecting the geographic information data of a daily activity region of the old people, covering the coordinates of a frequently-going place and an activity path coordinate sequence, carrying out the feature extraction of the activity region, generating a boundary coordinate set of a basic safety region, and carrying out the construction of a bracelet anti-lost fence for the old people; adjusting the boundary in combination with the health condition and travel habit feature data of the elderly to obtain an initial anti-lost fence boundary coordinate set, dynamically updating the boundary according to the external environment feature change data, and finally establishing a real-time data interaction link with the bracelet; and the bracelet generates a prompt signal and sends the prompt signal to the guardian terminal equipment, so that the pertinence, practicability and reliability of the anti-lost fence are improved, and the risk that the old with cognitive impairment gets lost is effectively reduced.

The invention discloses a personalized MCI electrical stimulation intervention method based on a dynamic brain network, and belongs to the technical field of electrical stimulation target determination. Individual heterogeneity of a brain function network of a patient is considered, specific frequency band selection is carried out on electroencephalogram data sets of a normal group and a cognitive impairment group, an effective data set is constructed, and the effective data set is determined. The method comprises the following steps: respectively constructing average dynamic brain network connection of total test times of a normal group and a cognitive impairment group based on an adaptive method of dynamic time-varying weight optimization of reaction time, and then determining a main abnormal frequency band through the difference of the average dynamic brain network connection of the two groups; and then target points are determined for the core nodes connected with the average dynamic brain network of the main abnormal frequency band, and compared with traditional single-frequency-band analysis, the application proposes that the effective data set is constructed by the specific frequency band to determine the main abnormal frequency band; in addition, stimulation targets are positioned according to the core nodes connected with the average dynamic brain network of the abnormal frequency band, and the reliability of target selection is improved.

The invention discloses an optimization method for senile cognitive impairment intervention. The optimization method comprises the following steps: S1, a multi-modal evaluation stage: acquiring neurophysiology, behavior and language data of a patient through a multi-source sensing module; s2, personalized prescription generation: calculating a comprehensive cognitive impairment index (CCI), and generating a personalized cognitive training scheme; s3, the intervention module executes the steps that a virtual training scene is generated in the AR environment; and S4, effect verification and iteration: generating a neuroplasticity evaluation report after training, and quantifying the parahippocampal gyrus-prefrontal cortex function connection enhancement degree. Neurophysiology, behaviors and language data of a patient are synchronously collected by adopting a multi-source sensing module, and a personalized cognitive training scheme is generated based on a comprehensive cognitive disorder index. Meanwhile, a virtual scene is constructed to execute an intervention module, and the parahippocampal gyrus-prefrontal lobe function connection enhancement degree is quantitatively analyzed after intervention, so that an evaluation-decision-intervention-verification closed-loop system is constructed, and the intervention effect of the senile cognitive impairment is remarkably improved.

The invention discloses a cognitive disorder recognition system and method based on audio and video modal decoupling representation learning, and the system comprises an integrated processing and display terminal module which is used for operating data, presenting visual stimulation, controlling a collection process, and preliminarily storing data; the visual stimulation presentation and task instruction module is used for clearly and standardly displaying a preset cognitive evaluation task to the participant and informing the participant of specific operation needing to be completed; the audio and video synchronous acquisition module is used for capturing dynamic visual information when a participant executes a task and acoustic information when the participant executes the task; the cognitive state and auxiliary information input module is used for allowing an operator to input information; the control and management module is used for realizing standardized operation and ensuring consistency and high efficiency of data acquisition; and the cognitive impairment recognition module is used for performing multi-modal analysis processing on the data. The early cognitive impairment screening method can provide efficient, accurate and generalizable early cognitive impairment screening for the elderly groups in the community.

The invention relates to the technical field of aged intelligent interaction, and discloses an aged intelligent interaction system and method for cognitive impairment and semi-disabled old people, a multi-modal information acquisition unit cooperatively works through voice, vision, touch, physiology, micro-action and environment perception units, and awakens and acquires multi-modal data as required; the adaptive processing unit performs multi-modal data verification, adaptive adjustment of an instruction guide mode and an intention recognition mode, adjusts an interaction mode according to a scene, and provides sound-visual-touch multi-mode feedback output; the cloud server interacts preset data with the adaptive processing unit, the remote collaboration unit synchronizes key data in the preset data to the remote terminal, triggers remote collaboration with the remote terminal and interface / scene sharing, and triggers remote alarm to the remote terminal and / or an emergency center when abnormity occurs. Potential risks are warned through the behavior baseline, and a remote terminal is triggered to limit care. According to the invention, an interaction system which is really adaptive to the physiological and psychological characteristics of the special group is constructed.

The invention discloses an optimization system and method for a cognitive disorder intervention scheme of a post-ICU patient, and belongs to the technical field of medical rehabilitation. The optimization system comprises a multi-dimensional evaluation module, a personalized intervention strategy generation module and a dynamic monitoring and feedback module; the multi-dimensional evaluation module comprises a cognitive function evaluation unit, a physiological parameter monitoring unit and a psychological state evaluation unit; the personalized intervention strategy generation module comprises a non-drug intervention library, a drug intervention decision tree and an environment optimization parameter library. Comprising the following steps: acquiring a dynamic data set through a multi-dimensional evaluation module; when the SpO2lt is detected; the MoCA directional force score is reduced by gt; when the concentration is 30%, generating a combined strategy of oxygen therapy and execution function training; and optimizing the intervention strategy weight based on the reinforcement learning model. The method has the advantages that a multi-dimensional dynamic evaluation system breaks through the limitation of traditional static evaluation; a closed-loop dynamic adjustment mechanism is adopted, so that accurate intervention is realized; a multi-dimensional collaborative intervention system breaks through a single treatment mode; and the decision-making accuracy is high.