189 results about "Treatment parameters" patented technology

The invention discloses an infrared lamp therapeutic instrument control system capable of automatically controlling therapeutic parameters, and relates to the technical field of infrared lamp therapeutic instruments. The infrared lamp therapeutic instrument control system capable of automatically controlling the therapeutic parameters comprises a data acquisition and processing unit, a skin lesion identification and severity evaluation unit and a treatment and feedback management unit, and through real-time data acquisition and processing, the system can accurately identify the type and severity of skin lesion, thereby providing a scientific basis for subsequent treatment. Meanwhile, the treatment and feedback management unit continuously updates treatment parameters according to real-time monitoring data, the working state of the infrared lamp is automatically adjusted, and the safety and effectiveness of the treatment process are ensured. Besides, the system also supports a remote monitoring function, so that doctors or family members can know the treatment progress and skin state change in real time through a mobile phone APP and make adjustments in time, and more intimate and comprehensive treatment services are provided for patients.

The invention relates to medical instruments, in particular to a peritoneal dialysis device which comprises a dialysate management unit, a sensor unit, a processor, a storage device, a peritoneal transfer model, an intelligent alarm management unit and a communication unit, and the dialysate management unit is configured to be used for perfusion of dialysate into the abdominal cavity of a patient and drainage of the dialysate from the abdominal cavity of the patient; the sensor unit is configured to be used for monitoring physiological parameters of a patient and dialysate characteristic parameters and receiving symptom information and comfort level scores input by the patient, the storage stores instructions executed by the processor, and the instructions enable the processor to be capable of dynamically adjusting treatment parameters of the dialysate management unit in real time in combination with a pre-trained peritoneal transfer model. The perfusion speed, the drainage speed or the dialysate temperature of the dialysate management unit are dynamically adjusted, so that the comfort level score of the patient is maintained to be above a preset threshold value, treatment parameters can be dynamically adjusted in real time to optimize the treatment effect, peritonitis risks are early warned, and the comfort level of the patient is improved.

The invention relates to an Agent AI-based full-process intelligent radiotherapy system and a working method thereof, the system comprises a treatment Agent, a feedback Agent and a QA Agent, the feedback Agent is connected with the treatment Agent, the input of the treatment Agent is multi-modal data, and an initial radiotherapy scheme is dynamically output through deep learning and an evolutionary algorithm; the feedback Agent is connected with the multi-sensor system and used for monitoring user state data of the patient in real time, correspondingly adjusting treatment parameters according to an initial treatment scheme and outputting an optimized treatment scheme; and the QA Agent is used for monitoring key parameters in the treatment process, performing early treatment verification and later quality evaluation, and outputting a quality assurance report. Compared with the prior art, multi-Agent mutual cooperation is designed, multi-modal data are integrated, full-process automation from treatment scheme determination, data acquisition, target region sketching, plan generation, treatment execution to QA is achieved, dependence on manual intervention can be reduced, and treatment individuation and efficiency are improved.

The invention discloses an intelligent acupuncture optimization method, system and device based on acupoint electric signal feedback, and relates to the field of electric data processing, the method comprises the following steps: obtaining associated acupoints of a target diagnosis and treatment mode and treatment parameters corresponding to the associated acupoints; controlling an electric needle to apply electric stimulation to associated acupuncture points according to the treatment parameters; after the electrical stimulation is applied to the associated acupuncture points, acquiring an electrical stimulation feedback signal in the target diagnosis and treatment mode, and determining a signal characteristic parameter according to the electrical stimulation feedback signal; the current treatment state is evaluated according to the signal characteristic parameters, and treatment parameters are adjusted according to the evaluation result. The electrical stimulation feedback signals of intelligent acupuncture in different diagnosis and treatment modes are analyzed in real time, the treatment state is evaluated, the treatment parameters of the acupuncture diagnosis and treatment equipment are correspondingly adjusted, real-time feedback and dynamic optimization of acupuncture treatment are achieved, and the accuracy and the curative effect of acupuncture treatment are improved.

The invention relates to the technical field of rehabilitation instruments, in particular to a control method and system based on an ultra-short wave therapeutic instrument. The method comprises the following steps: acquiring illness state information and human body composition data of a user; the illness state information comprises a treatment part, and the human body composition data comprises a body fat rate, a water content and a muscle content; inputting the human body composition data and the illness state information into a trained treatment parameter recommendation model to obtain treatment parameters of the user; the treatment parameters comprise output power and treatment time, and the treatment parameter recommendation model is a machine learning model; and outputting the treatment parameters, so that the ultrashort wave therapeutic apparatus emits ultrashort waves corresponding to the treatment parameters. According to the method, the treatment parameters are automatically generated according to the actual situation of the user, and the treatment effect of the user is improved.

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.

Systems and techniques are disclosed to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to identify pain treatment parameters for a human patient and determine a best device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to adjust programming of the neurostimulation device performs operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamic model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain; and select a neurostimulation program for the neurostimulation device, corresponding to at least a portion of the identified pain treatment parameters.

The invention relates to the technical field of medical treatment, and discloses a knee joint knee protection treatment personalized planning system based on multi-modal data fusion. A data acquisition and preprocessing module of the system acquires a multi-modal data stream of the knee joint of a patient in real time and generates a standardized data packet; the treatment event identification module is used for automatically identifying and verifying key treatment events from the standardized data packet and generating a treatment event sequence; the historical treatment path query module queries a distributed database and extracts treatment modes of similar patients; the graph matching and path generation module is used for calculating the similarity between the current treatment event sequence and a historical treatment mode, generating a fusion treatment path when the similarity exceeds a threshold value and storing the fusion treatment path to the block chain network; the abnormity monitoring and analysis module monitors abnormal event points in the fusion treatment path in real time, triggers a path decomposition mechanism and performs multi-dimensional performance analysis; and the personalized scheme generation module is used for dynamically adjusting treatment parameters and generating a personalized treatment planning scheme.

The invention discloses a multi-mode closed-loop feedback thumbtack needle electrical stimulation anti-depression system, belongs to the technical field of drug delivery systems, and particularly relates to collaborative treatment of acupoint stimulation and drug sustained release. The problems that in the prior art, cooperation of acupoint stimulation and medicine slow release cannot be achieved, and further improvement of the treatment effect is limited are solved. The system comprises an AI regulation and control module and a collaborative treatment module. The AI regulation and control module predicts treatment parameters; and the collaborative treatment module is used for carrying out collaborative treatment of acupoint electrical stimulation and skin administration on the patient based on the predicted treatment parameters. The multi-mode closed-loop feedback thumbtack needle electrical stimulation anti-depression system is suitable for collaborative treatment of acupoint stimulation and drug sustained release.

The invention discloses an LED mask intelligent treatment method based on deep learning skin recognition. The LED mask intelligent treatment method comprises the following steps: S1, acquiring original skin image data; s2, generating preprocessed skin image data; s3, sparse coding skin feature data are obtained; s4, outputting skin abnormality diagnosis result data by using the sparse coding skin feature data; s5, dynamically optimizing treatment parameters of the LED mask by adopting a frog-leaping optimization algorithm according to the skin abnormality diagnosis result data, and calculating optimal LED treatment parameter data; and S6, transmitting the optimal LED treatment parameter data to an LED mask control module, and controlling an LED mask to perform customized treatment on the skin of the user according to the optimal LED treatment parameter data. Real-time skin state feedback is introduced in the treatment process, an initial diagnosis result and state change in treatment are compared and analyzed, LED output is dynamically adjusted, and self-adaptive closed-loop control over treatment is achieved.

The invention provides a brain-computer interface-based TMS and VR collaborative rehabilitation training system, which is characterized in that a multi-mode collaborative positioning module is used for collecting VR interaction data and electroencephalogram data and determining the optimal stimulation state of a subject; the motion intention analysis module is used for matching a rehabilitation mode according to the collected data and in combination with the type of the subject; and the closed-loop rehabilitation interaction module is used for adjusting parameters of the TMS equipment according to the rehabilitation mode and stimulating the final stimulation area under the optimal stimulation state of the subject. For a mild stroke patient, the system dynamically monitors the plastic change of the autonomic nerve and adaptively adjusts the treatment parameters according to the plastic change of the autonomic nerve; for a severe stroke patient, the virtual reality situation is combined to effectively induce motor imagery and synchronously collect and analyze electroencephalogram signals, closed-loop nerve regulation is achieved, synchronous accurate intervention and curative effect optimization of the severe stroke patient are achieved, and an intelligent solution is provided for rehabilitation treatment of the nerve function of the severe stroke patient.

The invention discloses a treatment parameter extraction system suitable for nasal high-flow humidification oxygen therapy, and relates to the technical field of medical equipment. The problems that existing equipment cannot respond to dynamic changes of respiratory mechanics of patients, and accurate regulation and control are difficult to achieve according to individual differences of the patients are solved. Through a multi-sensor array and an innovative algorithm, oxygen conveying parameters are accurately monitored, intelligent regulation and control of equipment working parameters are achieved through a prediction and correlation model, it is guaranteed that the concentration of oxygen inhaled by a patient is stable, the gas conveying quality is optimized, and a treatment parameter extraction module adopts a signal processing and intelligent analysis technology; key treatment parameters of a patient can be accurately obtained, a basis is provided for formulating a personalized treatment scheme, multi-source data fusion and visual display are achieved, and medical staff can visually know the condition of the patient conveniently; and an abnormal alarm mechanism monitors parameter fluctuation in real time, so that the treatment safety of a patient is ensured, the accuracy, the intelligent level and the safety of oxygen therapy are improved, and more efficient and reliable treatment service is provided for the patient.

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.

A system may include a processor-based system including at least one processor and memory comprising instructions. When executed by the processor-based system, the instructions cause the processor-based system to: access metrics of a subject who is being treated with a therapy that includes a magnetic non-parallel electric field (MNPEF) therapy or a magnetic non-parallel magnetic field (MNPMF) therapy, wherein the accessed metrics include at least one analyte, the at least one analyte including one or more of blood glucose data, lactate data, or pyruvate data, free fatty acid data, cholesterol data, and compliance data for complying with the therapy; use the accessed metrics as an input to a machine learning algorithm that is configured to determine a set of therapy parameters for the therapy, and program a controller operably connected to at least one energy field system to deliver the therapy according to the determined set of therapy parameters.

The invention discloses an intelligent control system for pulse thulium laser lithotripsy treatment, and belongs to the field of medical instruments. According to the system, through intelligent parameter matching and dynamic regulation and control, the problem that traditional laser lithotripsy treatment parameters are complex in adaptation is solved. The system comprises a calculus feature input module used for receiving a calculus position, a CT value and a surgical instrument type; the processor module is used for generating recommended laser energy parameters based on a preset logic rule; the laser energy output unit supports a pedal switch to switch a lithotripsy mode and dynamically adjust output; the self-adaptive perfusion flushing unit is used for matching flow velocity according to energy parameters and stone characteristics to ensure temperature rise safety; and the data acquisition and updating module is used for collecting clinical data through the Internet of Things and optimizing recommendation parameters based on big data. The method has the advantages that parameter optimization of personalized parameter recommendation, dynamic flow rate control and data driving is achieved, and the lithotripsy efficiency, safety and the treatment effect are remarkably improved.

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

The disclosure relates to methods and systems for automatically determining and generating human skin attributes and attribute maps by a skin diagnostic and aesthetic processing system. The disclosure proposes a process for automated determination of various skin attributes by using one or more trained models that use the determined skin attributes to identify processing parameters of an energy-based processing system.

The invention provides an intelligent system for automatic CDT treatment of lymphedema after a breast cancer operation. The system comprises a data acquisition module, an automatic CDT treatment module, an intelligent control module and an optimization feedback module. The data acquisition module is used for acquiring physiological related data of a patient; the automatic CDT treatment module is used for providing lymphedema treatment for a patient; the intelligent control module is used for intelligently adjusting related treatment parameters in the treatment process of the patient; the optimization feedback module is used for adjusting a treatment scheme in combination with the adjustment of the treatment process and the feedback of the treatment effect; through real-time data acquisition, intelligent control and optimized feedback, automatic, accurate, personalized and efficient treatment of the lymphedema after the breast cancer operation is realized.

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.

A method for determining settings for cooled radiofrequency ablation (CRFA) system includes obtaining historical CRFA data associated with a plurality of patients previously treated using the CRFA system, wherein the historical CRFA data includes patient characteristics, operating parameters of the CRFA system, and treatment outcomes associated with each of the plurality of patients; training an ensemble machine learning model to predict success of CRFA procedures based on the historical CRFA data; determining a first set of operating parameters for the CRFA system using the trained ensemble machine learning model, wherein the first set of operating parameters comprise settings of the CRFA system that are determined to affect the success of CRFA procedures; and determining a value or a range of values for each of the first set of operating parameters for use in CRFA treatment procedures using a decision tree-based model.

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.