95 results about "Treatment parameters" patented technology

The invention relates to the technical field of medical information processing, in particular to a type 2 diabetes precise typing and dynamic treatment system which comprises a clinical feature extraction module, a metabolism dynamic modeling module, a precise typing module, a treatment parameter generation module and a dynamic treatment output module. Wherein the clinical feature extraction module is used for collecting a multi-dimensional clinical data set of a patient for continuous 14 days; the metabolism dynamic modeling module is used for extracting blood glucose fluctuation characteristics and pancreas islet function compensation characteristics; the precise typing module is used for dividing metabolism-driven subtypes to which the patients belong through a clustering algorithm; the treatment parameter generation module is used for mapping a subtype-treatment rule base and outputting a matched personalized treatment parameter combination; and the dynamic treatment output module outputs a dynamic treatment scheme. According to the invention, through a dynamic treatment mechanism based on typing, linkage control of individual difference identification and real-time adjustment of the medication scheme of the type 2 diabetes patients is realized, and the accuracy and adaptability of treatment are improved.

The invention discloses a control method of a hemorrhoid electrolytic treatment device, and belongs to the technical field of electrolytic treatment, a main control unit receives treatment parameters such as female hemorrhoid diameter or hemorrhoid size and grade, calls a treatment parameter set established based on clinical / experimental data from a memory, determines target output current and treatment time in a range of 0-50mA, and sends the target output current and treatment time to a control unit; the constant-current output module is controlled to output direct-current treatment current; output current and voltage are collected in real time through a current detection module, load impedance is calculated, and protection is triggered when the load impedance is abnormal; meanwhile, discrete integration is carried out on the actual output current to obtain accumulated treatment charge quantity, and when a target charge quantity threshold value is reached, treatment is automatically terminated, and treatment data are recorded. According to the invention, high-precision constant-current control and quantitative management based on total charge quantity in the hemorrhoid electrolytic treatment process are realized, and the treatment efficiency and repeatability are improved on the premise of ensuring safety.

The invention relates to an intelligent self-adaptive shock wave treatment system for chronic pelvic pain syndrome. The system comprises an ultrasonic image acquisition module used for acquiring ultrasonic image data of a pelvic region of a patient; the focused shock wave therapeutic apparatus is used for generating and outputting focused shock waves for treatment; the focused shock wave therapeutic apparatus is integrated with a pressure sensor which is used for detecting pressure data in real time when the therapeutic head is in contact with the skin. The five-axis mechanical arm is used for carrying a probe and a treatment head of the ultrasonic image acquisition module and controlling spatial poses and movement of the probe and the treatment head; and the central control module is used for determining treatment parameters according to the ultrasonic image data and the pressure data, and controlling the five-axis mechanical arm and the focused shock wave therapeutic apparatus to perform treatment based on the treatment parameters. Manual intervention can be reduced, the automatic treatment process is achieved, the positioning precision is improved, and individual physiological changes are dynamically adapted.

The invention relates to an integrated control method and system for a critical patient, a medium and equipment, and relates to the technical field of equipment control, and the method comprises the steps: obtaining the actual vital sign data of at least one monitoring dimension of a target patient on a first-aid stretcher through a defibrillation monitor; if the actual vital sign data is abnormal, determining the corresponding monitoring dimension as an actual abnormal vital sign dimension, and obtaining a plurality of historical dimensions with abnormal vital sign data and a plurality of started historical first-aid devices when a historical patient starts the first-aid devices; based on the historical dimension, the historical first-aid equipment and the at least one actual abnormal sign dimension, determining whether the target patient needs to start the first-aid equipment; if it is determined that the target patient needs to start the first-aid equipment, at least one device suitable for starting is determined from all the first-aid equipment, and suitable treatment parameters of all the devices suitable for starting are determined. The method has the effect of reducing the safety risk of the patient in the transferring process.

This invention relates to a method and system for evaluating parameters in the fabrication of a scoliosis orthosis. First, the initial position of the robotic arm is calculated based on the user's own treatment parameters. Then, the force applied to the robotic arm is continuously increased in preset steps until the maximum tolerable thrust position is found. Next, the relevant parameters of the maximum thrust position are used to convert the correction parameters, and the obtained correction parameters are input into a model to obtain the current correction model. The correction model and its associated parameters are sent to the orthotist to assist in orthosis design. In this invention, the orthotist can intuitively understand the quantitative relationship between the degree of contact between the orthosis and the body, the corrective force, and the spinal correction effect. Combined with the patient's surface images and spinal X-rays, the orthosis design is performed, reducing the problems encountered by the orthotist during the design process regarding the required pressure or the appropriate distance the orthosis needs to be close to the body to determine the resulting spinal deformation.

This invention discloses a lung care system for airway clearance based on ultrasound technology, belonging to the field of airway clearance technology. The system includes a data acquisition module, a risk assessment and control module, an ultrasound treatment parameter matching module, an ultrasound treatment execution module, a real-time feedback and control module, and a data storage module. This invention solves the problem that existing technologies cannot collect efficacy-related data in real time during treatment, nor can they dynamically adjust treatment plans based on efficacy data. This invention can dynamically adjust ultrasound treatment parameters according to the patient's real-time airway function status, achieving data-driven precision nursing, significantly improving airway clearance effects, reducing the risk of complications caused by sputum residue, avoiding ineffective treatment and over-intervention, shortening the treatment cycle, improving nursing efficiency, significantly reducing the risk of treatment-related adverse events, and enhancing the safety and reliability of lung care.

To provide a screen display device and method for medical equipment.SOLUTION: Wherein the processor generates a first screen showing a status object related to the operation of the medical device and displays the first screen on the display, and generates a second screen showing an adjustment object for adjusting the operation parameter of the medical device and displays the second screen on the display when it is determined that an interaction event has occurred, when the interaction of the user with the adjustment object on the second screen is detected, the operation parameter corresponding to the adjustment object is adjusted based on the input value corresponding to the detected interaction, and the operation of the medical device is controlled based on the adjusted operation parameter.SELECTED DRAWING: Figure 1

This invention discloses an automatic control method and system for a MI-E expectorant machine, comprising: analyzing real-time respiratory data of a patient during the use of the expectorant machine to determine the applicable operating mode of the expectorant machine; diagnosing the consistency between the current operating mode of the expectorant machine and the applicable operating mode, wherein, if the diagnosis result is inconsistent, a working mode switching command is generated to switch the current operating mode of the expectorant machine to the applicable operating mode; or, if the diagnosis result is consistent, a treatment parameter adjustment command is generated to optimize the treatment parameters corresponding to the current operating mode of the expectorant machine. This invention achieves automatic control of the MI-E expectorant machine, effectively improving treatment safety and efficiency.

The invention belongs to the field of radiotherapy auxiliary instruments, and particularly relates to a transportation method and system for assisting a radiotherapy patient in taking and placing a positioning pad. The system is connected with a storage chamber, an accelerator chamber, a CT chamber and a waste chamber through a transportation track, and a transportation robot automatically transports a positioning pad along the track. The robot is provided with a multi-joint mechanical arm, a scanner and a clamping jaw, and positioning pads at different positions in the storage cabinet can be accurately stored and taken. The method comprises the following steps: pasting a unique bar code for each positioning pad, and distributing a storage position through an information system; during treatment, the cushion is automatically called according to a Mosaiq instruction, and after treatment, the cushion is automatically reset and treatment parameters are updated; after treatment, the device is automatically transferred to a waste chamber. And the integrity of the cushion is monitored in real time by adopting a pressure sensor. According to the invention, the whole-process non-contact management of the positioning pad is realized, the problems of disordered access, mistaken access, difficulty in finding and the like are effectively solved, and the radiotherapy management efficiency is remarkably improved.

The application discloses a female stress urinary incontinence acupuncture treatment optimization method based on multi-modal data fusion, and belongs to the technical field of intelligent auxiliary medical treatment. The method comprises the following steps: through a three-level representation learning subnetwork comprising modal difference extraction, cross-modal attention alignment and fusion feature enhancement, unified representation learning is performed on multi-source data such as patient baseline features, pelvic floor image sequences, electromyographic signals and curative effect indexes; based on the representation and treatment parameters, a dynamic time sequence kernel fusion method is used to predict the treatment state change trend of the patient at multiple future time points; finally, a state-scheme cross attention mechanism is introduced, and combined with the prediction result and historical treatment scheme features, an individualized acupuncture acupoint, manipulation strength and treatment cycle optimization suggestion is adaptively output. The application realizes an end-to-end intelligent diagnosis and treatment closed loop from data fusion, curative effect prediction to scheme recommendation, and improves the accuracy and clinical effect of acupuncture treatment.

The invention discloses a microneedle array control system and method for a radio frequency microneedle therapeutic apparatus, and relates to the technical field of microneedle arrays. Therapeutic data of a therapeutic record are extracted and combined with a puncture feedback training group to generate a therapeutic time sequence training set; a treatment parameter dynamic model is generated through training of a double-layer LSTM time sequence regression model; based on an initial puncture parameter model in the skin feature library and a dynamic response model in the dynamic response feature library, acquiring a real-time skin image in the treatment process, calculating a real-time to-be-treated area score, generating a real-time initial puncture parameter, calculating a real-time regulation and control parameter through the dynamic response model, and when puncture succeeds, performing real-time regulation and control on the real-time to-be-treated area score; and collecting the puncture feedback training group, inputting the puncture feedback training group into the treatment parameter dynamic model, generating real-time treatment parameters, uploading the real-time treatment parameters to the radio frequency microneedle treatment instrument equipment, and executing radio frequency treatment operation according to the real-time treatment parameters.

Various techniques related to post-treatment parameters of patients are described. An example method includes identifying a segment of an electrocardiogram (ECG) of an individual, wherein the segment is detected during a time interval that begins when an electrical shock is output to the individual's heart. The method further includes identifying a parameter of the electrical shock and generating a report including the segment of the ECG and indicating the parameter of the electrical shock. The report is output or transmitted to an external device.

The invention relates to the technical field of medical electronic equipment control, and discloses a data consistency control method and system for a short-wave therapeutic apparatus. According to the method, target treatment parameters issued by an upper computer are received and dynamically mapped into hardware configuration parameters including oscillator control words and power amplifier bias voltage control codes. A logic verification rule is established based on circuit physical characteristics, and data logic consistency among hardware configuration parameters is ensured. After logic verification is passed, hardware configuration parameters are sent to related circuits, actual execution parameters are read in real time for consistency comparison, and parameter loading and output control are triggered only when comparison is passed. According to the invention, through triple mechanisms of dynamic mapping, logic verification and consistency comparison, the treatment accuracy and safety of the short-wave therapeutic apparatus are effectively improved.

The present application belongs to the technical field of temperature monitoring, and specifically relates to a temperature monitoring system and method based on high-energy red light therapy. The present application can comprehensively understand the temperature condition of the treatment area through the two-dimensional processing of surface and deep temperature information, find abnormal areas in real time and take accurate temperature control measures, effectively avoid overheating or overcooling, ensure treatment safety, adjust treatment parameters such as red light power and treatment time according to the specific needs of different treatment areas through dynamic monitoring and feedback mechanism, realize personalized temperature control, ensure that each area obtains the most suitable treatment conditions, and improve treatment effect. Through dynamic regulation and feedback mechanism, a closed-loop control system is formed, and real-time temperature feedback adjustment can continuously optimize the treatment temperature distribution, ensuring the continuity and stability of the treatment effect.

The invention discloses a complication early warning method, device and system and a medium, and relates to the field of medical monitoring equipment.The individual information of patients is obtained, the weight proportion of physiological parameters in a complication early warning model is adjusted according to the individual information, the individual difference of the patients is considered, and the individuation degree of the complication early warning model is improved; inputting real-time physiological parameters, collected in the dialysis process, of the patient and real-time treatment parameters of a dialysis machine into the updated complication early-warning model, outputting the probability of occurrence of target complication, and ensuring that a prediction result fits the current state of the patient; the deviation degree of each real-time physiological parameter is calculated according to the real-time physiological parameter and the individualized baseline value corresponding to each real-time physiological parameter, and the individualized precision is improved; complication early warning is performed by integrating the occurrence probability of the target complication and the deviation degree of the physiological parameters corresponding to the target complication, and double-factor complementary verification is performed, so that false alarm and missing alarm caused by a single index are remarkably weakened, and the accuracy of complication early warning is improved.

The invention provides an energy type robot treatment system and method for AI driving, the system comprises a robot arm, a multi-mode sensor kit and an AI control unit, and an end effector capable of generating treatment energy is installed at the tail end of the robot arm. A trained machine learning model on an AI control unit is used for processing real-time data collected by a multi-mode sensor suite from a treatment part, and the machine learning model is combined with pre-loaded patient data to generate a predictive control signal; the AI-driven control can achieve accurate and selective ablation of cancer tissue while minimizing incidental damage to surrounding healthy tissue, so as to improve the therapeutic effect, by dynamically adjusting the therapeutic parameters and height position parameters of the end effector.

In certain example embodiments, a system and / or method of guiding transitions between therapy modes in connection with the treatment and / or diagnosis of a patient for a respiratory disorder is / are provided. Respiratory disorder treatment according to a first therapy mode is provided. Input indicating a second therapy mode to be transitioned to following provision of the first therapy mode is received, with the second therapy mode being different from the first therapy mode. At least one default treatment parameter suitable for the second therapy mode is assigned or calculated. Each default treatment parameter of the second therapy mode is presented, with each default treatment parameter being adjustable by an operator during the presenting. Transitioning from the first therapy mode to the second therapy mode is performed by providing respiratory disorder treatment in accordance with the second therapy mode and each default treatment parameter and any adjustments made thereto prior to the transitioning. Advantageously, the chances of a patient being disturbed by transitioning from mode-to-mode are reduced.

In some embodiments, there is provided a method of automating radiation therapy treatment planning. The method may include receiving at least an objective for a control structure associated with a plurality of organs-at-risk; optimizing, using a first machine learning model configured as an optimization engine, a treatment plan including the control structure and the objective; selecting, based on one or more scores, at least a first organ‐at‐risk to enable objective adjustment; adjusting, using a second machine learning model using a continuous action space, one or more objective parameters for the selected first organ‐at‐risk; and re-optimizing, using the first machine learning model configured as the optimization engine, the treatment plan including the adjusted one or more objective parameters for the selected first organ‐at‐risk; and outputting the re-optimized treatment plan including one or more treatment parameters. Related systems, methods, and articles of manufacture are also disclosed.

The invention discloses a control method of an oxygen-enriched synergistic cold therapy cabin system. S1; the temperature T1INT in the cold therapy cabin, the ambient temperature T2INT outside the cold therapy cabin, the temperature T3INT of the evaporator and the temperature T4INT of the condenser are acquired by the sensor; s2; by monitoring the T1INI, the T2INI, the T3INI and the T4INI, the load state of the cold therapy cabin is judged, and the current operation stage of the current oxygen-enriched collaborative cold therapy cabin system is judged; the invention provides an oxygen-enriched collaborative cold therapy system control method, which is used for controlling each system of a cold therapy cabin to realize ultralow-temperature cold therapy combining oxygen-enriched recovery, photodynamic therapy and local position enhanced cold therapy, thermal load in the cabin has time-varying characteristics during cold therapy, the thermal load is modeled through a prediction algorithm, and the time-varying characteristics of the thermal load in the cabin are improved. Variables in a future time period are predicted and optimized, an in-cabin environment system is a nonlinear coupling system, a PID neural network optimized by an ant lion algorithm is adopted to control in-cabin treatment parameters and survival parameters, and it is ensured that a patient receives safe and effective physical treatment in the cabin.

The invention relates to a parameter power-off recovery method, system and device for a sleep respirator and a medium, and the method comprises the steps: identifying whether the sleep respirator has abnormal power-off or not through status bit verification, and introducing a timestamp comparison logic of large-capacity SD card backup and EEPROM storage and a multi-verification mechanism cooperative judgment strategy. The latest and complete treatment parameter data can be accurately selected when the equipment is electrified and initialized each time, so that the parameter recovery reliability of the sleep breathing machine in an abnormal power failure or data damage scene is effectively improved, the data loss risk caused by a fault of a single storage medium is avoided, and the system stability and the treatment continuity are remarkably enhanced; especially in medical equipment running for a long time, data consistency and recovery accuracy are crucial.

The invention relates to the technical field of data processing, in particular to an eye fumigation therapeutic apparatus supervision method based on data fusion analysis, and the method comprises the steps: obtaining a multi-dimensional historical feedback parameter data sequence of a user, and multi-dimensional treatment parameters and multi-dimensional feedback parameters of the user at each monitoring moment in the process of using an eye fumigation therapeutic apparatus; acquiring the safety degree of any one treatment parameter according to the difference between any one treatment parameter in the multi-dimensional treatment parameters at the current monitoring moment and the normal fluctuation range of the treatment parameter; acquiring a treatment parameter data sequence, and acquiring the total confidence coefficient of any treatment parameter according to the data fluctuation characteristics in the treatment parameter data sequence and the data difference between the multi-dimensional feedback parameter at the current monitoring moment and the multi-dimensional historical feedback parameter data sequence; the safety degree and the total confidence degree of each treatment parameter in the multi-dimensional treatment parameters at the current monitoring moment are utilized to obtain the comprehensive safety index, the eye fumigation therapeutic apparatus is supervised, and the use effect of a user is improved.

The invention discloses an electromagnetic interference-free ultrashort wave intelligent physiotherapy self-adaptive regulation and control system based on biofeedback, and belongs to the technical field of medical physiotherapy. The system solves the problems that an existing system cannot carry out real-time adjustment according to the physiological reaction of a patient individual, and treatment parameters are difficult to accurately regulate and control, and auxiliary features are generated by obtaining the individual features and real-time physiological data of the patient and combining context features; predicting probability distribution of tissue reaction by using a neural network model, calculating a confidence interval of the probability distribution, and automatically generating an initial treatment mode by comparing the confidence interval with a threshold value; the treatment effect is simulated, and possible complications and adverse reactions are predicted; evaluating curative effects and risks under different treatment parameter combinations by combining a Pareto frontier map, and automatically generating an optimal treatment parameter combination; treatment parameters are adjusted in time according to the real-time response of the patient, and the dynamic adaptability of the treatment process is ensured, so that personalized treatment is realized, and the treatment effect and the patient satisfaction are improved.

The invention relates to a treatment device for carrying out an intermittent treatment of at least part of the body of a person using negative pressure and / or positive pressure. According to the invention, in order to improve the known treatment device in such a way that, for a given indication of the treatment, the individual constitution of the person to be treated can be automatically appropriately taken into account, a "human-machine interface" is provided in the treatment device which detects selected vital values of the person to be treated in order to, by means of a controller, individually determine the treatment parameters, i.e. the duration of the negative and / or positive pressure phases and the magnitude of the negative and / or positive pressure, taking into account the vital values, in order to thereby achieve optimal treatment results.

The invention discloses a picture display device and a picture display method for medical equipment. The disclosed apparatus includes a processor that controls operation of a medical device based on a treatment parameter. The processor generates a first picture presenting a state object related to an operation of the medical device; presenting the first picture on the display; when it is determined that the interaction event has been generated, generating a second picture presenting an adjustment object for adjusting treatment parameters of the medical device; presenting the second picture on the display; when the interaction of the user with the adjustment object of the second screen is sensed, adjusting a treatment parameter corresponding to the corresponding adjustment object based on an input value corresponding to the sensed interaction; and controlling operation of the medical device based on the adjusted treatment parameters.

The application relates to the technical field of medical devices and particularly discloses a pain dynamic evaluation and treatment linkage system based on three-dimensional somatosensory interaction, which comprises the following modules: a human body modeling module for constructing a three-dimensional human body dissection model; a somatosensory interaction module for receiving pain area marking instructions and pain intensity scores; an infrared sensing module for monitoring human body infrared thermal imaging data of a patient in real time; a physiological monitoring module for monitoring heart rate variability indexes and skin electric reaction indexes of the patient based on wearable devices; a region marking module for obtaining a calibrated pain area of the patient based on the pain area marking instructions and abnormal temperature zones in the human body infrared thermal imaging data; a pain prediction module for predicting a pain intensity prediction curve in a future period based on the pain intensity scores, the heart rate variability indexes, the skin electric reaction indexes and the calibrated pain area of the patient; and a treatment linkage module for generating treatment parameter control instructions based on the pain trend prediction curve and a multi-dimensional pain characteristic vector, so that precise and dynamic treatment intervention is realized.

The utility model discloses a biological feedback stimulation treatment system based on intelligent terminal, including electric stimulation therapeutic instrument and intelligent terminal, and intelligent terminal and electric stimulation therapeutic instrument carry out data connection through wireless communication, wherein, intelligent terminal includes treatment parameter setting module, real -time feedback module and data storage module, treatment parameter setting module is used to set treatment parameter, real -time feedback module is used to receive and show biological feedback data in real time, and data storage module is used for storing treatment data. Intelligent terminal and electric stimulation therapeutic instrument realize bluetooth wireless communication, realize convenient control. The operation interface of intelligent terminal is simple, direct and easy to understand, and is more convenient to operate, and can record and check long -term treatment data.

Disclosed herein is a system and method for determining an optimal clinical outcome, including receiving an image of skin tissue of a patient from an image capture device; analyzing one or more images of skin tissue; and determining skin characteristics and physiological factors of the skin tissue based on the analyzed one or more images. The system and method further analyzes the determined skin characteristics and physiological factors of the skin tissue; determining treatment parameters based on the analyzed determined skin characteristics and physiological factors; generating a skin response predictor image predicting a result of the processing based on the one or more images of the skin tissue and a combination of the processing parameters; scoring the skin response predictor images based on security and predetermined efficacy criteria; and displaying one or more processing parameters based on the scores of the skin response predictor images.

A system, method, and wearable device configured to both actuate a muscle and to sense the muscle's response to the actuation to determine treatment parameters for a subsequent actuation. The actuation and sensing components are in communication with a machine learning component to evaluate the data output from the sensing and actuation and to determine whether and how to adjust treatment parameters for subsequent treatment sessions.