803 results about "Therapeutic effectiveness" patented technology

The invention relates to the technical field of medical big data intelligent analysis, and discloses a medical big data intelligent analysis method and system based on deep learning, and the method comprises the steps: obtaining patient image data, case text data and wearable equipment monitoring data, carrying out the preprocessing, and carrying out the standardized coding of each modal data; and calculating the dynamic weight of each modal data, and synthesizing a multi-level fusion weight. And in combination with the fusion weight and the clinical state parameters of the patient, constructing a modal value-clinical urgency degree two-factor resource decision model to obtain a priority score. According to the priority scores, the patients are divided into different emergency treatment levels, and different treatment strategies are provided. The model provided by the invention can maintain efficient prediction capability in various clinical scenes, improves the accuracy of clinical decisions, and enables the resource allocation of hospitals to be more scientific and reasonable. In an emergency treatment environment, the real-time priority evaluation of the patient can significantly improve the efficiency of emergency treatment, reduce the waiting time, and improve the survival rate and the treatment effect of the patient.

The invention provides an intelligent tumor nursing monitoring system. The intelligent tumor nursing monitoring system comprises a data acquisition module, a data processing module, a dynamic evaluation module, a multi-stage early warning module and a self-adaptive control module. The data acquisition module acquires physiological sign data, tumor local image data and body fluid biochemical data of a patient in real time through a multi-source biosensor. And the data processing module performs space-time alignment, noise suppression and cross-modal feature association on the multi-modal data to generate a comprehensive feature map. The dynamic evaluation module calculates the tumor progress rate and the complication risk coefficient based on the map, and generates a personalized risk prediction curve. And the multi-stage early warning module triggers an early warning signal according to the curve and generates a risk traceability report. And the adaptive control module generates a personalized scheme based on the early warning signal and the traceability report and controls the medical equipment to execute closed-loop feedback adjustment. The nursing quality and the treatment effect of tumor patients can be improved, and the medical risk is reduced.

The invention relates to the technical field of surgical intervention, in particular to a catheter system and method for neurosurgery surgical intervention, in the invention, through accurate path prediction, real-time monitoring and dynamic adjustment, the accuracy of catheter operation is remarkably improved, and through analysis of historical surgical data, information such as path, speed and angle in the surgical process is accurately extracted, so that the accuracy of catheter operation is improved. A more accurate neural structure position can be provided by timely adjusting the movement direction of the catheter, spatial positioning and form calculation, the spatial deviation between the current position of the catheter and a target neural structure is calculated in real time through a support vector machine algorithm, a path is adjusted according to a set threshold value, historical operation data is learned through a convolutional neural network, and the operation accuracy is improved. The catheter operation strategy is optimized, operation data and deviation are analyzed in real time, the operation precision is automatically adjusted, catheter operation in the operation process is more accurate, patient wounds are smaller, the recovery time is shorter, the treatment effect is better, and the recovery speed of patients is increased.

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

The invention discloses an explainable method of a cardiovascular disease prediction model based on SHAP, and aims to construct an accurate cardiovascular disease prediction model and provide explainable analysis by combining multi-source medical data. The method comprises the following steps: acquiring medical data related to cardiovascular diseases, performing data preprocessing and feature engineering coding, and establishing a cardiovascular disease data set; carrying out importance evaluation on the features by using a Boruta algorithm, screening out features which play an important role in cardiovascular disease prediction in combination with a random forest, and completing the division of a training set and a test set; adopting a grid search algorithm to adjust and optimize hyper-parameters, and optimizing the performance of the model; training the training set data by using an XGBoost algorithm, establishing a cardiovascular disease prediction model, and outputting feature importance; and inputting the data set into the trained model, outputting a prediction result of each patient, visualizing the prediction results by using an SHAP interpretation tool, and analyzing the interaction effect of characteristic variables and the contribution of a single characteristic. According to the technical method, accurate prediction and analysis support can be provided for clinic, doctors are helped to formulate effective prevention measures, and therefore the early diagnosis and treatment effect of cardiovascular diseases is improved.

The invention discloses an intelligent patient monitoring and predicting clinical data analysis system, which belongs to the field of medical analysis and comprises a real-time monitoring module, a data acquisition module and a knowledge base building module. According to the method, the nursing quality of the patient can be improved, medical resources can be effectively saved, the processing capacity of complex medical data is enhanced, the scientificity and rationality of clinical decisions are improved, a personalized and timely health management scheme is provided for the patient, a hospital can be more prospective and initiative in disease management, and the disease management efficiency is improved. Therefore, the overall medical service level is improved, uncertainty and patient individualized demand differences existing in clinical data can be effectively handled, and scheme suggestions with higher diversity and flexibility are provided for medical staff during decision making, so that the whole system has real-time performance, and long-term effect optimization across time dimensions can be realized; the treatment effect and experience of the patient can be improved, and a scientific basis is provided for reasonable distribution of medical resources.

The invention discloses percutaneous nerve field vagus nerve stimulation diagnosis and treatment equipment and a diagnosis and treatment method thereof, and particularly relates to the technical field of neuromedicine, intelligent medical equipment and multi-mode physical therapy. The equipment comprises a neural signal acquisition module, a nerve positioning module, a data processing and analysis module, a treatment execution module and a diagnosis result output module; the system is further provided with a battery power management module, a self-adaptive closed-loop cloud platform and a wearable fixing device, by collecting bioelectricity signals, light absorptivity and temperature data of an ear nerve area, ear target cranial nerve branches are positioned, a dynamic diagnosis map is constructed, and a diagnosis result and personalized treatment parameters are generated. Electric pulse, near-infrared light and local thermal therapy multi-mode collaborative stimulation is adopted for treatment, and parameters are monitored and adjusted in real time through a cloud platform. According to the invention, accurate diagnosis and personalized treatment can be realized, the medical efficiency and the treatment effect are improved, and an effective means is provided for nerve disease diagnosis and treatment and pain relief.

The invention provides an intelligent auxiliary evaluation system for right ventricular systole and diastole functions of echocardiography, and aims to solve the problems of low accuracy and efficiency in right ventricular function evaluation in the prior art. The system comprises an image acquisition unit, an image processing unit, a feature extraction unit, an intelligent evaluation unit and a result output unit, and through an intelligent algorithm, especially a deep learning network DL and a convolutional neural network CNN, a feature extraction result is obtained. Key indexes such as a two-dimensional right ventricular area change fraction 2D-FAC, a right ventricular ejection fraction RVEF and tricuspid valve ring plane contraction period displacement TAPSE are automatically calculated. The system also realizes accurate evaluation of the right ventricular function through a specific CNN structure and loss function design. The system can provide rapid, accurate and non-invasive right ventricular function evaluation in clinical practice, and is helpful for improving the diagnosis and treatment effects of cardiovascular diseases.

The invention discloses a multifunctional leg sleeve for auxiliary treatment of lower limb lymphedema, which comprises a leg sleeve body, a pressure sensing unit, a temperature and humidity sensing unit, an air bag pressure unit, a heating unit, an electrical stimulation unit, an impedance measuring unit and a portable force-electricity-heat cooperative intervention controller, the leg sleeve is characterized in that the pressure sensor and the temperature and humidity sensor monitor internal environment parameters of the leg sleeve body, drive the air bag pressure unit to perform self-adaptive pressurization, and drive the heating element and the electrical stimulation electrode to perform intelligent heating medicine application and muscle stimulation at the same time; the main control unit is driven to adjust the pressure, the temperature and the stimulation intensity of the air bag pressurizing unit, the heating unit and the electrical stimulation unit; in the wearing period, the device uploads data to a mobile phone and a cloud server terminal for data analysis, optimal pressure, temperature and electrical stimulation regulation prescriptions are provided for a user, and a good treatment effect is achieved.

The invention discloses a rapid identification method applied to defibrillation requirements of an AED device, and belongs to the technical field of medical equipment. According to the method, multiple links including acquisition, preprocessing, feature extraction, mode classification, real-time classification and defibrillation triggering work cooperatively, and advanced signal classification and mode recognition technologies are introduced, so that efficient and accurate electrocardiosignal analysis is realized in the AED device, the response speed and accuracy in the emergency treatment process are remarkably improved, and the emergency treatment efficiency is improved. Multi-dimensional features of electrocardiosignals are extracted and input into a pattern classification model, automatic recognition of arrhythmia is achieved, whether defibrillation operation needs to be carried out or not can be accurately judged, the possibility of misjudgment is reduced, self-optimization can be carried out according to new electrocardiosignal data through a dynamic learning and retraining mechanism, and the accuracy of defibrillation is improved. The adaptive capacity to a complex heart rhythm mode is improved, the first-aid response time is effectively shortened, the safety of a patient is guaranteed, and the first-aid efficiency and the treatment effect are improved.

The invention provides a dynamic adjustment method based on a depression mind-correcting treatment scheme, and relates to the technical field of medical care information, and the method comprises the steps: collecting multi-dimensional information of a patient, and collecting life behavior risk data, psychological scale data and cognitive function evaluation data; comprehensively evaluating the depression level of the patient; determining the priority of a treatment therapy module according to the multi-dimensional information of the patient; generating an initial treatment scheme; calculating a daily task comprehensive weight value, and dynamically adjusting the training content of the next day; and evaluating the state of the patient in stages, recalculating the priority of each therapy module, and optimizing the therapeutic scheme. Through multi-dimensional data fusion evaluation and intelligent algorithm dynamic adjustment, a complete closed-loop feedback optimization system is constructed, precision and individuation of a depression treatment scheme are achieved, the treatment effect and patient compliance are effectively improved, the recurrence risk is reduced, and a more scientific and effective treatment scheme is provided for depression patients.

The invention relates to the field of psychological health, and provides an employee psychological health management system and method based on cloud computing, and the system comprises a psychological archive management module which is used for collecting, classifying, storing and updating the psychological health data of employees, and calculating the comprehensive psychological health indexes of the employees; the intelligent psychological assessment module is used for acquiring psychological data of the employees and assessing psychological states of the employees by applying an advanced regression model to obtain psychological assessment results; the remote psychological counseling module is used for evaluating the psychological counseling effect of the employee to obtain a first evaluation value of the psychological counseling effect; the personalized psychological assistance plan generation module is used for generating a psychological assistance plan for the employee; and the virtual reality psychological treatment module is used for providing psychological treatment service for the employees through the virtual reality technology and evaluating the treatment effect to obtain a second evaluation value of the virtual reality psychological treatment effect. According to the invention, the psychological health state of the employee can be comprehensively and accurately improved.

A system for automated programming of stimulation devices uses machine learning with multimodal medical imaging data to determine optimal patient-specific parameters. The system stores voxel-level intensity and functional imaging data from patients who previously underwent stimulation therapy. Similarity metrics calculated directly between the raw imaging data are used to cluster patients into phenotypic groups. Known therapeutic outcomes for each patient are linked to the associated stimulation parameters. For a new patient, biomarkers are extracted from their medical imaging data and used to identify phenotypically similar groups. The stimulation parameters with beneficial outcomes in those groups are analyzed to determine target recommended settings or discard suboptimal settings for the new patient. This data-driven approach leverages machine learning on multimodal medical imaging to automate patient-specific programming of stimulation therapy devices for optimal therapeutic benefit without requiring spatial normalization or atlas registration.

The invention relates to the technical field of medical equipment, provides a non-intrusive closed-loop ear vagus nerve stimulator for improving cerebral apoplexy and a use method, and aims to improve the symptoms of a patient by stimulating the ear vagus nerve in a conchae area. The device integrates an electrical stimulation electrode, a host and a closed-loop feedback module, monitors brain blood flow changes and other physiological parameters of a patient in real time, and automatically adjusts stimulation parameters through an intelligent algorithm to realize personalized treatment. A microprocessor, a multi-mode monitoring unit and a data fusion analysis unit are arranged in the host, and accurate and efficient treatment is ensured. In addition, the equipment supports remote intelligent monitoring and guidance, a treatment plan can be remotely adjusted, and the treatment effect is improved. A user interaction interface is friendly, and operation of patients and medical staff is facilitated. The stimulator is light in design, the conductive silica gel electrode is adopted, through real-time monitoring and intelligent adjustment, accurate and efficient treatment is provided for a patient, the comfort level and treatment convenience of the patient are ensured, and a safe and effective rehabilitation scheme is provided for the stroke patient.

The invention belongs to the field of massage control, and relates to a hand massager which comprises a base, an upper cover and a cavity arranged between the base and the upper cover, the cavity is defined by a first lining piece and a second lining piece and is provided with a plurality of air bags used for different areas of a hand, and the air bags comprise a finger air bag, a hand back air bag, an upper wrist air bag, a lower wrist air bag and a palm air bag; the cavity extends to the middle section of the arm of a user, and two or more EMS electrotherapy sheets are arranged in the cavity and connected to the control panel; a dip angle alpha is arranged at the bottom of the cavity, so that the palm and the wrist of a user are kept in a natural fit posture, the dip angle structure is fixed or suspended, and an elastic element is arranged below the suspended dip angle structure; and a lithium battery is also arranged in the hand massager. The problems that a traditional massager only limits physical pressing, is insufficient in coverage area and poor in comfort are solved, the massage depth and the treatment effect are remarkably improved, and the massager is suitable for relieving hand fatigue and neuropathic pain and assisting in rehabilitation treatment.

The invention provides an evaluation-intervention integrated system and equipment oriented to personalized rehabilitation scheme optimization. The evaluation-intervention integrated system comprises a personalized scheme recommendation module, a curative effect evaluation module and an intervention scheme optimization and adjustment module. The personalized scheme recommendation module generates a personalized rehabilitation treatment scheme by collecting multi-dimensional data and combining with a machine learning algorithm. And the curative effect evaluation module monitors and comprehensively evaluates the rehabilitation effect of the patient in real time, and generates a detailed curative effect report. And the intervention scheme optimization and adjustment module dynamically adjusts the treatment scheme and optimizes the treatment content, intensity and frequency according to the curative effect evaluation result and patient feedback. Through intelligent analysis and a feedback mechanism, an accurate and customized rehabilitation treatment scheme is provided for each patient, dynamic adjustment is performed according to a real-time evaluation result, and the rehabilitation treatment accuracy and the treatment effect are remarkably improved. The system also supports real-time data sharing and cooperation among patients, doctors and rehabilitation experts, and can perform cross-region and cross-professional personalized treatment management.

The utility model relates to the field of medical instruments, in particular to a dilution system structure for hemodialysis, which comprises a front dilution loop, a rear dilution loop, a displacement liquid outlet, a dialyzer and a controller. Displacement liquid of the displacement liquid outlet flows into the dialyzer through the front dilution loop, and dialysate flowing out of the dialyzer and the displacement liquid of the displacement liquid outlet flow into a human body through the rear dilution loop; the front dilution loop comprises a front dilution displacement pump, and the rear dilution loop comprises a rear dilution displacement pump; the problems that existing hemodialysis synchronous mixing and diluting treatment effects are poor and flexibility is poor are solved. The operation modes of the front dilution replacement pump and the rear dilution replacement pump are changed through the connection mode of the front dilution loop and the rear dilution loop, and flexible adjustment of the dialysis mode is achieved; the hemodialysis treatment effect can be effectively improved by monitoring the hemodialysis process in real time and automatically adjusting the hemodialysis parameters according to the monitoring result.

An example method includes identifying an image of a tissue sample obtained from a subject. The tissue sample includes at least one cancer cell and at least one non-cancer cell. The example method further includes identifying the at least one non-cancer cell depicted in the image; generating a metric based on the at least one non-cancer cell depicted in the image; and predicting, based on the metric, whether the at least one cancer cell is susceptible to at least one treatment.

The utility model discloses a drug delivery tooth socket which comprises a tooth socket body, the tooth socket body is provided with a lip side face, a tooth groove and mounting holes communicated with the tooth groove, and the tooth socket body is provided with a plurality of mounting holes in the extension direction of the lip side face; a medicine storage cavity capable of storing medicine and a release hole communicated with the medicine storage cavity are formed in the medicine storage bag, and the medicine storage cavity is communicated with the outside through the release hole; the medicine storage bag is detachably connected with the mounting holes, and when the medicine storage bag is connected with one of the mounting holes, the release hole is communicated with the tooth socket through the mounting hole, so that the time that the medicine is attached to teeth and periodontium can be effectively prolonged, and the treatment effect of the medicine on an affected part is improved.

The invention relates to the technical field of medical information processing, and discloses an intelligent prescription auxiliary issuing system and method based on generative artificial intelligence and a storage medium, and the system comprises a multi-modal input module, a model generation module, a knowledge integration module, a prescription generation module, an auditing optimization module and a prescription output module. The method corresponds to the system, and the storage medium corresponds to the method. According to the application, the limitation of function fragmentation is avoided, diagnosis and treatment instructions, personalized habits of doctors, dynamic medical knowledge and risk control requirements are cooperatively and comprehensively planned through the modules, a medication safety base line is kept through risk grading verification, optimization suggestions are generated according to diagnosis and treatment habits of the doctors, meanwhile, the accuracy and efficiency of prescription making are improved, and the application prospect is wide. The comprehensive requirements for safety, personality and high efficiency of prescription assistance in clinical scenes are fully met, powerful support is provided for diagnosis and treatment work of doctors, and medication safety and treatment effects of patients are indirectly guaranteed.

The utility model discloses an adjustable negative pressure vacuum cupping device which comprises a cupping device body, the cupping device body comprises a cupping body, a functional mechanism and a negative pressure meter are arranged, a silica gel ring serves as a carrier of a red light physiotherapy light bar and is tightly attached to the cupping body, warm stimulation of a traditional cupping jar is simulated through red light irradiation, blood circulation is promoted, and muscular tension is relieved. The wiring port is convenient to connect with an external power supply, stable operation of the physical therapy function is ensured, a user can flexibly adjust the therapy mode, the red light physical therapy lamp strips are annularly arranged at equal intervals, uniform and comprehensive irradiation is ensured, and meanwhile, due to the arrangement of the air exhaust head and the negative pressure meter, the therapy effect of the cupping device is improved. A user can quickly extract air in the cup and form required negative pressure, discomfort or safety risks are avoided, the treatment effect and user experience of the cupping device are jointly improved through the settings, and the cupping device is safer, more convenient and more efficient.

The invention provides a rehabilitation nursing planning method and system for plastic burn of a patient, and the method comprises the steps: collecting the physiological parameters, psychological state information and skin healing conditions of the patient, obtaining the basic information of the patient, and carrying out the analysis to generate a health condition score; based on the health condition score and the personalized rehabilitation target, a genetic algorithm is adopted to generate a rehabilitation activity scheme; constructing an uncertainty model by using a Bayesian network, and predicting result distribution of different treatment paths; performing global optimization on the rehabilitation activity scheme by using a mixed integer programming algorithm in combination with the optimization target, the constraint condition and the result distribution to obtain a rehabilitation activity combination implementation strategy; in the implementation process, a closed-loop feedback mechanism is used for regularly collecting and analyzing the actual reaction condition of a patient, and a deep reinforcement learning algorithm is used for adjustment to obtain a target rehabilitation activity combination implementation strategy; according to the invention, highly personalized rehabilitation nursing of the plastic burn patient is realized, the adaptability and the flexibility are high, and the rehabilitation experience and the treatment effect of the patient are improved.

The present application relates to the field of medical devices, and specifically to an aortic valve auxiliary prosthesis for preventing regurgitation, comprising: a main body, which is configured to remain in place in the aorta at the surgical site; and three auxiliary leaflet segments configured to cooperate with the three free segments of the native leaflets of the aortic valve; the three auxiliary leaflet segments are fixed to the main body. The present invention allows the original native leaflets to be retained, and when the native valve is closed, the purpose of improving the prevention of regurgitation is achieved by overlapping and covering the free segments of the native valve, with significant therapeutic effects and stronger targeting. Since the native valve is retained, most of the impact force of blood when flowing is still on the native valve, the reliability requirements for the fixed positioning of the main body are low, and the morphological changes to the native valve are smaller.

The present invention relates to a system for providing hot or cold therapy, featuring a tub with a shell comprising a base, head and foot end walls, and left and right walls forming a recess for water containment. The tub includes a seat with a horizontal surface extending from the foot end wall, and side and head end walls extending downward, creating left and right foot cubbies adjacent to the tub shell walls. A control unit, extending from the foot end wall, houses a heat pump unit for heating or cooling a water temperature, and may include a UV filter, a carbon filter unit, and a water pump. This system is designed to offer therapeutic benefits through temperature-controlled water immersion, with optional or included features for enhanced water quality, hygiene, utility and comfort.

The invention relates to the technical field of rehabilitation treatment of chronic obstructive pulmonary patients, and discloses a therapeutic scheme matching method for rehabilitation treatment of chronic obstructive pulmonary patients, comprising the following steps: step 1, a data acquisition and integration module which is responsible for collecting multi-dimensional data of patients; according to the treatment scheme matching method for the rehabilitation treatment of the chronic obstructive pulmonary disease patient, unnecessary medical resource waste can be avoided, the patient can be timely and properly treated, the overall utilization efficiency of the medical resources is improved, detailed treatment information and self-management suggestions are provided for the patient, and the patient is prevented from suffering from chronic obstructive pulmonary disease. A patient can better know the illness state and the treatment process of the patient, a personalized treatment scheme is easier to accept and execute by the patient, the treatment compliance of the patient can be improved, a large amount of real-world patient data is accumulated by the system, rich materials are provided for medical research, and through deep mining and analysis of the data, the treatment compliance of the patient can be improved. Pathogenesis, treatment effect influence factors and the like can be further explored.

The invention relates to the technical field of medical rehabilitation, in particular to a method and a system for generating a mentality therapy scheme for a depression patient. Comprising the following steps: S1, acquiring multi-dimensional information of a patient; s2, performing normalization processing on the multi-dimensional information of the patient acquired in the step S1; s3, a plurality of treatment methods are set, each treatment method corresponds to multi-dimensional information of a plurality of patients, the initial weight value of the treatment method is calculated according to the multi-dimensional information corresponding to each treatment method, and daily necessary tasks and selected tasks of the patients are set according to the initial weight values, so that a treatment scheme of the initial stage of the patients is obtained; s4, during the treatment period of the patient, setting a plurality of correction times, recalculating the correction weight value of each treatment method at each correction time, sorting, and resetting the treatment scheme of the patient according to the new sorting; the best treatment method is provided for each patient, and the treatment effect is improved.

The invention relates to the technical field of medical image area detection, and discloses a medical image key area detection system and method.The medical image key area detection system comprises an image obtaining module, an image preprocessing module, a key area positioning module, a feature extraction module and a classification and recognition module. According to the key area detection system of the medical image, the key anatomical structure or the lesion area in the image can be automatically identified and positioned through the system, so that the diagnosis efficiency of a doctor is greatly improved, an important reference can be provided for clinical decision-making of the doctor, and the accuracy of clinical decision-making is improved by accurately identifying the lesion area. According to the technical scheme, doctors can more accurately evaluate the severity of the illness state, formulate a more effective treatment scheme and even predict the development trend of the illness, so that the method has important significance in improving the treatment effect and the survival rate of patients, meanwhile, errors caused by human factors are reduced through automatic analysis, and the diagnosis reliability is improved.

The invention relates to the technical field of medical auxiliary equipment, and discloses a self-adaptive guiding system and method based on patient posture positioning, and the system comprises a multi-modal sensing module which obtains a skeleton key point sequence, body pressure distribution data and human eye vision parameters of a patient; the intelligent processing module is used for calculating the real-time posture of the patient and matching the real-time posture with the reference posture to generate a multi-dimensional adjustment instruction; the AR-HUD display module is used for calibrating a virtual image based on human eye visual parameters, superposing a three-dimensional arrow direction indication and a semitransparent target body position contour to an actual visual field through a space registration technology, and synchronously displaying a respiratory rhythm guide light band and instruction text content; and the bidirectional feedback module is used for receiving the body position adjustment completion signal of the patient and synchronously displaying an AR view, a skeleton key point matching result and an instruction execution state in real time. According to the invention, the accuracy of posture adjustment of the patient and the treatment efficiency are remarkably improved, and the risk of treatment effect reduction caused by action deviation is effectively reduced.

Methods and systems for assisting the programming of stimulation parameters for deep brain stimulation (DBS) for a subject patient are described. An accumulated database comprises data from a plurality of historical fitting / programming sessions. The data can include various stimulation parameter sets that were tried for patients in the database; data relating to the position of the electrode lead with respect to anatomical features the patients' brains, for example, with respect to the alignment of their subthalamic nucleus (STN); scores indicating the therapeutic effectiveness of the stimulation parameters and / or stimulation parameters that lead to side effects in the patients; and data relating to stimulation field models (SFMs) for the various stimulation parameter sets. The database may be used to predict stimulation parameter sets that are likely to be therapeutically effective or to cause side effects for the subject patient.

The invention provides a rigid-flexible coupling wrist rehabilitation robot which comprises an arm supporting unit and a wrist supporting unit, the arm supporting unit is matched with the forearm of a patient, the wrist supporting unit is matched with the palm of the patient, and an upper / lower elastic rope support and a left / right elastic rope support are installed on a connecting plate of the forearm supporting unit. An elastic rope connecting anchor point at the front end of the upper elastic rope support and an elastic rope connecting anchor point at the front end of the lower elastic rope support are connected with corresponding anchor points of the wrist supporting unit through three elastic ropes to form an integral tensioning structure, and four driving flexible ropes penetrate through Bowden wire pipes installed in the elastic rope supports to be connected to the corresponding anchor points of the wrist supporting unit. And the flexion / extension and radial deflection / ulnar deflection of the wrist joint are realized by traction and driving of the flexible cable. The open type wearable structure is convenient for a patient to wear, and the problems that a rigid wrist rehabilitation robot is not matched with the instant movement center when the wrist of the patient moves and the joint torque of a flexible wrist rehabilitation robot is insufficient are solved, so that the treatment effect of rehabilitation training on the patient is improved.