226 results about "Treatment parameters" patented technology

The invention discloses a multifunctional magnetic stimulation treatment system and an application method thereof, relates to the technical field of medical equipment, and solves the defects of unstable curative effect and limited application range caused by individual difference in the existing system. The precision of the laser beam is automatically adjusted through a self-adaptive calibration algorithm, and it is ensured that a treatment area is accurately positioned; optimal stimulation parameters are calculated through a self-adaptive magnetic field depth optimization algorithm, and pertinence and effectiveness of treatment parameters are ensured; the treatment effect is predicted through a feedback mapping algorithm, and the treatment parameters are dynamically adjusted to ensure the safety and effectiveness of the treatment process; physiological data, symptom description and medical history information of a patient are comprehensively analyzed and recognized through the complex disease pattern recognition module, a detailed disease pattern recognition report is output, the application range of the system is expanded, and personalized disease prediction and risk assessment are provided; the applicability and the curative effect of an existing system are greatly improved.

The invention discloses a transcranial magnetic stimulation treatment individualized parameter optimization system based on artificial intelligence, and relates to the technical field of transcranial magnetic stimulation optimization systems. The transcranial magnetic stimulation treatment individualized parameter optimization system based on artificial intelligence comprises a data acquisition preprocessing module, a feature extraction module, a treatment parameter prediction module and a treatment effect evaluation module, and the data acquisition module is used for acquiring brain function data of a patient in real time; the feature extraction module is used for performing feature extraction on the preprocessed brain function data and clinical data; the treatment parameter prediction module is used for determining a treatment scheme suitable for the current condition of the patient according to the transcranial magnetic stimulation treatment parameter prediction result; the treatment effect evaluation module is used for continuously monitoring brain function data of the patient in the treatment process. The problems that in traditional transcranial magnetic stimulation treatment, parameter setting depends on experience and a general guide, individualized optimization and parameter adjustment are lacked, and consequently the treatment effect is inaccurate and the treatment time is long are solved.

The invention belongs to the technical field of temperature monitoring, and particularly relates to a temperature monitoring system and method based on high-energy red light therapy. According to the invention, through two-dimensional processing of comprehensive surface and deep layer temperature information, the temperature condition of a treatment area can be known more comprehensively, an abnormal area can be found in real time, accurate temperature regulation measures can be taken, the overheat or overcold condition is effectively avoided, the treatment safety is ensured, and through dynamic monitoring and a feedback mechanism, the treatment accuracy is improved. According to specific requirements of different treatment areas, treatment parameters such as red light power and treatment time can be adjusted in a targeted mode, personalized temperature regulation and control are achieved, it is ensured that each area obtains the most suitable treatment condition, the treatment effect is improved, a closed-loop control system is formed through dynamic regulation and control and a feedback mechanism, and the treatment effect is improved. Real-time temperature feedback adjustment can continuously optimize treatment temperature distribution, and continuity and stability of the treatment effect are guaranteed.

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.

According to the precise diagnosis and treatment integrated platform and method based on the coupling model, the cavitation effect is predicted through numerical simulation, negative feedback adjustment is conducted on microbubble mediated ultrasonic treatment, and precise control over the microbubble mediated ultrasonic treatment is achieved. Acoustic parameters are adjusted in real time, it can be ensured that treatment focuses on a lesion area, damage to surrounding healthy tissue is reduced, and therefore the accuracy and safety of treatment are improved. The platform integrates cavitation detection and an acoustic feedback mechanism, the microbubble cavitation effect can be monitored in real time, and treatment parameters can be automatically adjusted. Negative feedback closed-loop control can ensure a stable cavitation state, tissue damage caused by excessive cavitation is effectively avoided, and the stability and reliability of treatment are improved. The platform simplifies the operation process of controlling acoustic parameters. A doctor can complete the whole process from treatment to monitoring on the same operation interface through the integrated platform, and convenience and efficiency of clinical operation are improved. The platform is not only suitable for tumor treatment, ablation and drug delivery, but also can be applied to multiple treatment fields such as vascular diseases and neuromodulation, and has wide clinical application prospects and market potential.

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 present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

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 present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

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.

An infusion pump is configured to provide one or more context cues to a user while the user programs the infusion pump to deliver an infusion therapy. In some embodiments, the infusion pump includes a display configured to display a keypad and to receive input from a user, a processor in communication with the display, and a memory in communication with the processor. The memory stores instructions that cause a keypad sequence monitor to receive context parameters, the context parameters corresponding to a drug selection, a drug concentration selection, or a clinical care area in which the drug is to be infused. The keypad sequence monitor accesses a drug library using the context parameter to determine a valid parameter range corresponding to a range of values between lower and upper soft limit values stored in the drug library. The keypad sequence monitor is further configured to receive an treatment parameter value from the user and display one or more context cues upon determining that the received treatment parameter value is outside of a valid treatment parameter range, but would be within a valid treatment parameter range if one of the context parameters were changed.

Disclosed is an apparatus configured to operate in at least one therapy mode and at least one non-therapy mode. After a predetermined time operating in the at least one non-therapy mode, the apparatus is configured to: transmit the data to a device, and / or receive a software package from a or the device, and / or receive therapy parameters from a or the device, and / or update parameters of the apparatus.

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 belongs to the technical field of artificial intelligence, and relates to a medical decision-making method and system based on vector calculation and an open source large model cluster. The method comprises the steps of performing vectorization processing on hospital historical case data; constructing a vector database; inputting case data of a new patient into the deep learning model to obtain second vector data; screening the first vector data of which the vector similarity is greater than a set threshold value; taking a diagnosis and treatment scheme corresponding to the similar case as a first diagnosis and treatment scheme; acquiring case data of a new patient to obtain a plurality of second diagnosis and treatment schemes; setting a score standard of the diagnosis and treatment parameters, and calculating an initial score; and weighting to obtain a plurality of decision scores, and determining a target diagnosis and treatment scheme. According to the method, a deep learning model is combined with an open source large model cluster, vector similarity calculation is carried out on hospital historical case data, the reliability and accuracy of diagnosis and treatment scheme recommendation are improved, meanwhile, the privacy of patients can be effectively protected, and the data security is improved.

The utility model relates to a portable LIPUS ultrasonic pulse therapeutic apparatus. The therapeutic apparatus comprises a shell, a unit circuit in the shell, a touch panel on the shell, a voltage sampling circuit interface located at one end of the shell and a plurality of ultrasonic probe interfaces located at the other end of the shell. Wherein the touch panel, the voltage sampling circuit interface and the ultrasonic probe interface are electrically connected with the unit circuit respectively. The LIPUS therapeutic apparatus has the advantages that by establishing the LIPUS energy conversion model and by means of the high-frequency electronic technology and the embedded software technology, multi-parameter adjustment of the frequency, the sound intensity and the pulse mode of the LIPUS therapeutic apparatus can be achieved, support is provided for clinical medical tests of LIPUS treatment, proper LIPUS treatment parameters can be selected for different symptoms, and the LIPUS therapeutic apparatus can be used for treating different symptoms. The method has important theoretical research and medical application values.

The present invention discloses a method for selecting multiple stimulation therapy parameter values, the method comprising: receiving multiple signals related to a patient condition from at least one sensor during and / or after at least one brain stimulation period, wherein stimulation is delivered to at least one location within the brain using at least one combination of therapy parameter values; analyzing the received multiple signals to perform a quantitative assessment of at least one therapy side effect and at least one symptomatic effect; and selecting a combination of therapy parameter values ​​based on the quantitative assessment of the therapy side effect and the symptomatic effect.

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.