32 results about "Single patient" patented technology

The invention belongs to the technical field of perioperative anticoagulation management, and particularly relates to a heparin dose-effect relationship modeling method, a heparin dose-effect relationship prediction system and a storage medium. The modeling method comprises the following steps: inputting clinical data from a single patient, wherein the clinical data comprises the administration dosage of heparin and a corresponding ACT measurement value; fitting different models suitable for the heparin dose-effect relationship based on the clinical data, and selecting an optimal model through cross validation; and re-training the optimal model by adopting all clinical data of a single patient to obtain the optimal model actually used for deployment. The invention also provides a system for predicting the heparin dose-effect relationship by using the model. Compared with a single model for predicting the heparin dosage-effect relationship, the method has higher accuracy, is beneficial to accurately controlling the heparin dosage of a patient, and has a very good application prospect in anticoagulation management in the perioperative period.

The present disclosure relates to a method for suggesting personalized and symptom-specific DBS stimulation parameters, comprising the steps of: creating a three-dimensional symptom network library comprising a data-driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on a detailed and comprehensive pathway profile; registering patient data with the three-dimensional symptom network library to analyze how an electrode of a single patient is mapped thereto; stimulation parameters are derived and suggested from baseline symptom severity characteristics for each patient. Another object of the invention relates to a system for predicting DBS parameters, the system comprising an interface for providing DBS parameters to an electrode and receiving signals from a patient, and a computer programmable unit comprising a data memory for storing a network library of three-dimensional symptoms, the three-dimensional symptom network library includes a stored data driven three-dimensional model of symptom-specific nerve tracts in a stereotactic space established based on detailed and comprehensive pathways for predicting DBS parameters.

The utility model relates to the technical field of atomization medicine storage cups, and discloses an integrated medical atomization medicine storage cup which comprises a liquid medicine cylinder, a first shell is arranged below the liquid medicine cylinder, a second shell is installed on one side between the liquid medicine cylinder and the first shell, the second shell is composed of two semi-circular cylinder bodies, and the two semi-circular cylinder bodies are arranged in parallel. A DC power socket is installed in the second shell. According to the integrated medical atomization medicine storage cup, the size of a product is simplified and reduced to the maximum extent, medicine liquid storage and atomization channel structure optimization greatly improve the problem of medicine liquid residues, meanwhile, the manufacturing cost of the integrated medical atomization medicine storage cup is reduced to a very low degree through the simplified structure, and the integrated medical atomization medicine storage cup is suitable for popularization and application. The atomization medicine storage cup can be used as a disposable product for a single patient, one patient only uses the atomization medicine storage cup corresponding to the atomization medicine storage cup, the atomization medicine storage cup can be discarded after the atomization treatment of the patient is finished, and the problem of cross infection or mixed pollution of different liquid medicines caused by incomplete disinfection and washing is fundamentally avoided.

The application provides a kind of image positioning sticker marking method based on iodine-gallium complex chelate, through chelation reaction to prepare excellent stability iodine-gallium complex developer, non-woven fabric substrate is modified by chitosan coating, combined with screen printing process to prepare high-precision positioning sticker, and establish standardized clinical marking process. The method uses iodine-gallium double element synergistic development mechanism, so that the CT value of the marking area is 350-400HU, the contrast of the surrounding tissue is improved by 40%, the development clarity retention rate is more than 92% after 48 hours of sticking, the positioning error is stable within 0.3mm, solves the pain points of traditional marking easy diffusion and poor adhesion. The application has excellent biocompatibility, the skin allergy rate is only 0.8%, the single patient positioning operation time is shortened to 5-10 minutes, the production cost is reduced by 40%, can be widely used in precise medical positioning scenes such as tumor radiotherapy and interventional surgery, has significant clinical popularization value.

1. The name of the design product: pregnant woman exercise monitoring graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface content. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for pregnant woman exercise monitoring interface. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface for pregnant woman exercise monitoring. Click the "computer" icon corresponding to the hall on the left menu bar of the front view, enter interface change state diagram 1; click "sign in" after the "sign in" list on the left side of interface change state diagram 1, enter interface change state diagram 2, and a sign-in step pop-up window appears; after placing the pregnant woman's bracelet on the external punch card and completing the bracelet punch, enter interface change state diagram 3, and the bracelet punch is displayed as checked; use the external code scanning gun to scan the two-dimensional code of the electrocardiogram device, complete the binding, and enter interface change state diagram 4; use the code scanning gun to scan the two-dimensional code of the oximeter device, complete the binding, and enter interface change state diagram 5, prompting that the sign-in is complete; the sign-in step pop-up window automatically disappears within a few seconds after completing the sign-in, and enters interface change state diagram 6; click the "bind fetal heart device" drop-down arrow in interface change state diagram 6, enter interface change state diagram 7; after the pregnant woman wears the corresponding fetal monitoring device in interface change state diagram 7 and completes the binding after starting, enter interface change state diagram 8, which displays the corresponding monitoring values; the pregnant woman uses the bracelet to complete the binding and punch on the external exercise device but has not started exercising, enters interface change state diagram 9; after the pregnant woman starts exercising, enter interface change state diagram 10, the exercise state and monitoring data change; click "single patient monitoring" in the top menu bar of interface change state diagram 10, enter interface change state diagram 11, and display the state monitoring during exercise; click "fetal heart monitoring" in the top menu bar of interface change state diagram 11, the system opens a pop-up window and enters interface change state diagram 12; after completing the fetal heart monitoring, click the close page button in the upper right corner of interface change state diagram 12, enter interface change state diagram 13, the left sign-in list is updated to display the number of "completed", and the corresponding personnel sign-in state is updated to "sign out"; click "sign out" after the personnel name in the left sign-in list of interface change state diagram 13, enter interface change state diagram 14; click the prompt pop-up window in the middle of interface change state diagram 14, click "OK" to enter interface change state diagram 15, which displays the self-exhaustion perception inquiry score; after completing the inquiry score, click "save" in interface change state diagram 15 to enter interface change state diagram 16; click "OK" in interface change state diagram 16 to enter interface change state diagram 17, the corresponding personnel sign-in state in the left sign-in list is updated to "signed out", and the exercise report option is generated.

A disposable bioassay diagnostic cartridge for performing enzyme-linked immunosorbent assay for a single patient in whole blood and plasma where the cartridge has a plurality of wells. The cartridge includes a pipette tip with internal sidewalls disposed in one well of the plurality of wells, the internal sidewalls being pretreated and coated with antibodies, a reagent mixture disposed in another well of the plurality of wells, the reagent mixture comprising at least one reagent selected from the group consisting of pH stabilizer, ionic catalyst control agent, ionic intracellular inhibitory control agent, detergent, negative control agent, chelating agent, and biocide preservative, antibody, and conjugate stabilizing agent. At least a chromogenic substrate and visualizing reagent disposed in an integrated cuvette of the plurality of wells. It also includes the detection of the hemoglobin amount in the blood sample so a correction for plasma amount in a sample can be performed.

This invention provides a program, information processing system, and method for realizing a medical communication system that supports multiple medical communication schedules for a single patient. [Solution] A server device 100 that performs medical communication, including patient explanations, includes a first decision processing unit that, upon receiving first tag information through communication with a patient-side terminal device, determines a first schedule for first medical communication regarding the patient's first medical event based on the first tag information, a first registration processing unit that registers the information of the first schedule in association with the patient's identifier, and a second decision processing unit that, upon receiving second tag information through further communication with the patient-side terminal device, determines a second schedule for second medical communication regarding the patient's second medical event based on the second tag information, and registers the determined second schedule in further association with the patient's identifier.

The invention provides a diagnosis and treatment device, and relates to the technical field of diagnosis and treatment devices.The top end face of a rack is fixedly connected with two mounting bases, the two mounting bases are fixedly connected to the front side and the rear side of the top end face of the rack in a linear array, and guide rollers are mounted on the outer sides of the two mounting bases; the invention relates to a medical diagnosis and treatment bed, and solves the problems that when a patient is carried by a diagnosis and treatment bed, a bed sheet is generally replaced for use after the diagnosis and treatment of a single patient is completed, but cross infection is easily caused due to incomplete disinfection when the number of patients is large. After the bed sheet located on the upper side is detached, the motor A installed on the outer side of the base is started to drive the gear A to rotate, the bearing base is driven to turn over through meshing transmission of the gear A and the gear B, the face, where the bed sheet is laid, in the bearing base is used again, and then the purpose of being more practical is achieved.

The invention belongs to the technical field of computer systems based on specific calculation models, and particularly relates to a protamine dose-effect relationship modeling method, a protamine dose-effect relationship prediction system and a storage medium. The modeling method comprises the following steps: inputting clinical data from a single patient, wherein the clinical data comprises the administration dosage of protamine and a corresponding ACT measurement value; fitting different models suitable for a protamine dose-effect relationship based on the clinical data, and selecting an optimal model through cross validation; and re-training the optimal model by adopting all clinical data of a single patient to obtain the optimal model actually used for deployment. The invention also provides a system for predicting the protamine dose-effect relationship by using the model. Compared with a single model for predicting the protamine dosage-effect relationship, the method has higher accuracy, is beneficial to accurately controlling the protamine dosage of a patient, and has a very good application prospect in anticoagulation management in the perioperative period.

The invention discloses a schizophrenia typing method based on delta wave band fractal dimension individual heterogeneity, and belongs to the technical field of neural information processing and mental disease auxiliary diagnosis. According to the method, firstly, innovation is achieved in the aspect of frequency band specificity analysis, feature extraction can be carried out on the schizophrenia key information processing frequency band, and disease abnormity can be captured more sensitively. And secondly, the site effect of cross-center data acquisition is effectively coordinated by introducing a ComBat method, and the modeling stability and the result reliability are improved. Thirdly, a standardized model is obtained through multi-center large sample training, individualized deviation modeling is further carried out, the abnormal degree of a single patient relative to a healthy group can be accurately described, and the limitation of traditional group mean value comparison is broken through. Afterwards, in combination with a hierarchical heterogeneity analysis method based on discriminant analysis, stage identification and potential subtype division of the disease are realized, so that the method has a refined typing capability.

The invention discloses a multi-omics anatomical Alzheimer's disease prediction method and device based on immune metabolic crosstalk. The invention relates to application of a reagent for detecting a gene combination in preparation of a product for diagnosing Alzheimer's disease. The gene combination comprises Uqcrb, Klf6, Txn, Lsm5, Psmc1, Eif3e and Laptm5. The invention further discloses a kit. The prediction method comprises the following steps: acquiring transcriptome data and single cell data of an AD patient and a healthy person; performing pretreatment; performing differential gene analysis to obtain a gene analysis result; analyzing expression differences of different metabolic pathways in various cell populations; screening out a gene related to the AD disease; extracting high-expression genes in the first transcriptome data as a feature set; training a plurality of machine learning models by using the training data to obtain three final training models; constructing a dynamic column graph containing the key genes; and predicting AD risk of a single patient.

This invention discloses a method and system for medical and nursing information processing based on big data, belonging to the field of information processing technology. It retrieves patient nursing operation types, medication dosages, and patient physiological indicator information from the medical and nursing system; constructs a medical and nursing set; builds a three-dimensional patient nursing risk matrix; calculates nursing risk probabilities; calculates patient nursing risk weights; constructs a two-dimensional patient nursing risk image matrix; presets a nursing risk weight threshold; obtains nursing operation types and medication dosages with nursing risk weights greater than or equal to the threshold, and constructs high-risk combinations; constructs a high-risk combination set based on patients; calculates the risk similarity between different patients; presets a risk similarity threshold; and analyzes and performs comprehensive management. This invention can not only accurately quantify the nursing risk of a single patient but also further identify the risk similarity between multiple patients, forming a high-risk combination set and providing comprehensive management decision support.

This patent relates to a method and computer program product for batch synthesis of 3D images of patients in medical institutions. The method involves: acquiring a data record table; performing a synthesis step based on the data of the first patient in the data record table; inputting the data of a single patient recorded in the data record table into a 3D processing program; acquiring a set of images corresponding to the entered patient data; inputting the acquired set of images into the 3D data processing program; starting the processing process of the 3D data processing program to perform synthesis on the images in the set; acquiring the synthesis result output by the 3D data processing program and saving the result in a preset location; repeating the synthesis step for the data of the second patient in the data record table until all patient data in the data record table has been processed. This patent provides an automated image synthesis method capable of batch synthesis of 3D images of multiple patients.

This specification describes diagnostic methods for selecting treatments for personalized cancer therapy by simultaneously detecting genomic and epigenomic characteristics from a single patient sample, including the quantification of promoter methylation, as well as applications for confirming methylation patterns associated with epigenetic allele status. This specification also describes methods comprising the steps of detecting methylation in one or more promoter regions of at least one of multiple genes, and generating multiple methylation calls to quantify methylation in one or more promoter regions.

The invention relates to the technical field of medical health, in particular to a fatigue assessment method and system based on medical data of a PBC patient, and the method comprises the steps: collecting the medical data of the patient through a multi-modal terminal, and taking the medical data of a single examination of a single patient as a data set; screening the data set according to a preset screening condition, and storing the screened data set into a database; acquiring a fatigue-related biomarker in the serum sample; evaluating the fatigue degree according to the biomarker, and matching the evaluation result with the corresponding data set; training according to the data group and the evaluation result to obtain a fatigue degree evaluation model; and evaluating the fatigue degree of the patient according to the fatigue degree evaluation model. According to the method, a biomarker quantitative analysis result is used as an evaluation basis, so that the limitation of a subjective scale is effectively made up, more accurate basic data is provided for the training of a subsequent fatigue degree evaluation model, and the reliability of the model is guaranteed.

The present invention relates to a mobile terminal for controlling comprising a medical product intended for a single patient, at least one container being provided with an electronic tag comprising a memory storing first data including at least one data item specific to the medical product, the mobile terminal comprising: a first barcode reader reading second data on an identification bracelet (174) specific to a patient, a second reader reading the first data, a controller comparing the first data with the second data to obtain a comparison result and validating that the medical product is intended for the patient wearing the identification bracelet (174) based on the comparison result.

The medicine patch preparation equipment comprises a machine table, and a material melting mechanism, a stirring mechanism and a paste extruding mechanism are sequentially arranged on the machine table from top to bottom; the material melting mechanism comprises a hot melting barrel and a flow guide assembly, the hot melting barrel is fixedly installed on the upper portion of the machine table, the output end of the hot melting barrel is communicated with the input end of the flow guide assembly, and the flow guide assembly is used for adding paste in the hot melting barrel into the multiple stirring barrels; through cooperation of the material melting mechanism, the stirring mechanism and the paste extruding mechanism, the processes of material melting, stirring and paste extruding are centralized, waste of ointment is reduced, the operation difficulty of all the mechanisms is reduced, the conflict influence between the processes is effectively reduced, it is guaranteed that the processes can be cyclically and orderly carried out, and the production efficiency is improved. The operation from material melting to paste extruding is simpler, more convenient and more efficient, especially under the conditions that the ointment switching frequency is high when the number of patients is large, and the number of medicine patches of a single patient is limited, the coordination and order effect between procedures is higher, and the medicine patch preparation efficiency is higher.

The invention relates to the technical field of medical instruments, and particularly provides an intelligent stretching belt and a using method thereof.The intelligent stretching belt comprises an elastic belt, a sole placing part, holding parts, a tension detecting piece, a tension prompter and a timer, the sole placing part is arranged in the middle of the elastic belt, and the holding parts are arranged at the two ends of the elastic belt so that the tension detecting piece can be detected after a patient puts the sole into the sole placing part; the elastic band is stretched by pulling the holding part, a patient is subjected to rehabilitation training, the tension detection piece is arranged on the elastic band, the tension prompter is electrically connected with the tension detection piece, the timer is arranged on the elastic band, and the timer is electrically connected with the tension detection piece. The problem that a single patient carries out leg rehabilitation training in the prior art is solved, meanwhile, the patient can control the training time and intensity, and insufficient training or excessive training is avoided.

This invention provides a program, information processing system, and method for realizing a medical communication system that supports multiple medical communication schedules for a single patient. [Solution] In an information processing system, a server device for medical communication, which exchanges medical-related information including patient explanations, receives first tag information through communication with a patient-side terminal device, determines a first schedule for first medical communication regarding the patient's first medical event based on the received first tag information, registers the determined first schedule information in association with the patient's identifier, and when it further receives second tag information through communication with the patient-side terminal device, determines a second schedule for second medical communication regarding the patient's second medical event based on the received second tag information, registers the determined second schedule information in further association with the patient's identifier.

The utility model belongs to the technical field of diaphragm training tools, and particularly relates to an abdominal respiration diaphragm training auxiliary belt which comprises a connecting arc plate, a through hole is formed in the middle of the side wall of the connecting arc plate, a fixed threaded cylinder is fixed to the middle of one side wall of the connecting arc plate, and the fixed threaded cylinder is located on the outer side of the through hole. An adjusting threaded cylinder is in threaded connection with the inner side of the fixed threaded cylinder, a connecting hole is formed in the bottom of the adjusting threaded cylinder, elastic arc plates are symmetrically fixed to the two ends of a connecting arc plate, an extrusion arc plate is fixedly connected to one side of each elastic arc plate, and a traction rod is fixed to the middle of the side wall of each extrusion arc plate; one end of the traction rod penetrates through the through hole and the connecting hole, a positioning belt is arranged on one side of the connecting arc plate, and the two ends of the positioning belt adhere to the two ends of the connecting arc plate. The portable nursing bed is simple in structure, can be operated by a single patient, is convenient to operate, does not need the patient to lie down, and is convenient to use outdoors and carry.

Natalizumab is a safe and efficacious treatment for inflammatory and autoimmune diseases, such as multiple sclerosis, Crohn's Disease, and rheumatoid arthritis. Chain swapping between natalizumab and IgG4 molecules acts to reduce the level of bivalent natalizumab present following administration of natalizumab, and thus to lower the activity of natalizumab in the patient. Differences in IgG4 levels across patients or within a single patient across time may change the pharmacokinetic profile of natalizumab. Patients with lower levels of IgG4 may experience higher nadir levels of natalizumab during a dosing period. Monitoring IgG4 and / or bivalent natalizumab levels, and determining a dose or dosage period based on the monitoring may improve the safety and / or efficacy of natalizumab therapy.

Disclosed is a mobile terminal for controlling including a medical product intended for a single patient, at least one container being provided with an electronic tag including a memory storing first data including at least one data item specific to the medical product, the mobile terminal including: a first barcode reader reading second data on an identification bracelet specific to a patient; a second reader reading the first data; a controller comparing the first data with the second data to obtain a comparison result and validating that the medical product is intended for the patient wearing the identification bracelet based on the comparison result.

The application discloses a COVID-19 prognosis evaluation method and system based on multi-time point CT image analysis, for the data corresponding to the patient to be prognostically evaluated, the initial CT data is preprocessed and input into the trained prognosis evaluation model to obtain the probability of whether the patient will have an adverse event; the feature extraction module of the prognosis evaluation model supports processing multiple CT data of a single patient, sharing a network structure, and extracting features between the multiple CT data; a 3D lesion feature Attention module assigns weight information to the features obtained by the feature extraction layer; a feature conversion module combines the longitudinal features of the multi-time CT data extracted by the feature extraction module and the feature weight information obtained by the Attention module, and a classification module automatically evaluates the possibility of an adverse event of the patient; without complex lesion labeling work, the application helps to refine hidden feature mapping, can help clinicians to make targeted treatment schemes in advance to save time, and reduces the probability of occurrence of COVID-19 adverse events.

A system for delivering nebulized medication to a patient is provided. The system includes a first nebulizer device, a second nebulizer device, a single patient interface coupled to the first nebulizer device via a first flow path and to the second nebulizer device via a second flow path, and a computing device in communication with the first and second nebulizer devices. The computing device includes memory storing instructions for execution by at least one processor for controlling the operation of the first and second nebulizer devices to deliver a first and second medication into the first and second flow paths, respectively.

A computer-implemented method for processing electronic medical images, the method including receiving a plurality of electronic medical images of a medical specimen associated with a single patient. The plurality of electronic medical images may be inputted into to a trained machine learning system, the trained machine learning system being trained to compare each of the plurality of electronic medical images to each other to determine whether each pair of the electronic medical images matches within a predetermined similarity threshold. The trained machine learning system may output whether each pair of the electronic medical images matches within a predetermined similarity threshold. The output may be stored.

The present application belongs to the technical field of computer systems based on specific calculation models, and particularly relates to a protamine dose-effect relationship modeling method, a prediction system and a storage medium. The modeling method comprises: inputting clinical data from a single patient, the clinical data comprising a protamine administration dose and a corresponding ACT measurement value; fitting different models suitable for protamine dose-effect relationship based on the clinical data, and selecting an optimal model through cross-validation; and retraining the optimal model using all clinical data of the single patient to obtain a best model actually used for deployment. The present application also provides a system for predicting protamine dose-effect relationship using the above model. Compared with single model, the present application has higher accuracy in predicting protamine dose-effect relationship, is beneficial to precisely controlling the protamine dosage of patients, and has a good application prospect in perioperative anticoagulation management.

The application discloses a kind of based on complex brain network and Fiedler value analysis's seizure prediction method, belong to electroencephalogram seizure prediction field.Aim at the seizure EEG data is filtered and preprocessed, 23 groups of bipolar lead is regarded as 23 points, and it is divided into six brain regions.Transmission entropy between each electrode signal is calculated, and threshold processing is carried out to generate adjacency matrix, to build brain network and calculate its Fiedler value.The standard curve is obtained by polynomial fitting curve to describe the change of Fiedler value with time, and compared with the actual fitting curve of single patient, dynamic time warping distance DTW is calculated.The results show that there is high similarity between most standard curves and actual curves, which verifies the effectiveness and accuracy of the method.Overall, the method shows high reliability in identifying characteristics of patients with epilepsy, and can provide important reference for subsequent diagnosis and treatment.

The present invention discloses a method and system for constructing a risk assessment model for myocardial infarction patients, specifically relating to the field of cardiovascular disease prediction, and includes the following steps: I. Collecting data from various modalities of hospital information systems, image archiving systems, and wearable devices, and integrating data from different modalities. The present invention can optimize the accuracy of myocardial infarction risk prediction, so that risk assessment not only relies on statistical characteristics, but also integrates pathophysiological mechanisms, improves the clinical interpretability of predictions, avoids the limitations of traditional data-driven methods that are only based on correlation modeling, can dynamically adjust the best treatment plan, realize data-driven personalized medicine, and improve the scientific nature of intervention decisions; can quickly adapt to new patient data, improve individualized prediction capabilities, improve data utilization, enhance the model's generalization ability for different patient groups, avoid training the entire model from scratch, significantly reduce computing resource consumption, make up for the problem of insufficient data for a single patient, and improve the prediction ability of rare cases.

The invention belongs to the technical field of rehabilitation training, and particularly relates to patient cardiopulmonary exercise rehabilitation training equipment which comprises a wearable backboard body. The inner surface wall of the wearable backboard main body is fixedly connected with a sliding rod; during work, by arranging the equipment main body shell, after a servo motor is started, a winding roller rotates, an elastic binding belt is wound on the outer surface wall of the winding roller for winding connection, and furthermore, the elastic binding belt can fixedly wear the wearable back plate main body on the back of a patient, so that the patient can wear the wearable back plate main body on the back of the patient, and the patient can wear the wearable back plate main body on the back of the patient. The sliding back plate can slide on the outer surface wall of the sliding rod until the elastic binding belt drives the wearable back plate main body to continuously contact with the back of the patient, and the servo motor is closed until the pressure plate is pressed, so that the effect of changing and shrinking the elastic binding belt according to the physique of the patient is realized, and the adaptability of the device is improved; and therefore, a single patient can conveniently complete the wearing behavior of the equipment.

The invention discloses a personalized rehabilitation nursing training method and system based on tumor patient rehabilitation cases, and belongs to the technical field of rehabilitation training management. The method comprises the following steps: collecting multi-dimensional monitoring data of a target group through a tumor rehabilitation case database, extracting a rehabilitation monitoring data stream of a single patient, and calculating a physiological, exercise and psychological three-dimensional rehabilitation state deviation vector set; a personalized training task is built based on rehabilitation requirements and task channels, three training layers are built through multi-model ensemble learning, a rehabilitation adaptation coefficient is calculated in combination with dynamic weights, and when the adaptation coefficient meets a threshold value, a personalized rehabilitation scheme is matched through a grading scheme table. According to the method, experience dependence is replaced by data driving, data acquisition, deviation calculation, task construction, adaptation detection and scheme generation are cooperatively realized, multi-dimensional, dynamic and precise rehabilitation nursing is realized, the suitability and effectiveness of rehabilitation training of tumor patients are remarkably improved, and the method is suitable for hospital, community and home rehabilitation scenes.