17 results about "Patient evaluation" patented technology

The invention relates to the technical field of spinal cord injury repair, and discloses a multi-mode nerve regulation electric acupuncture control system for spinal cord injury repair, a patient evaluation module is used for establishing a personalized spinal cord injury model of a patient and evaluating the current nerve function state and rehabilitation potential of the patient to obtain a nerve function evaluation result; the parameter setting module is used for setting multi-modal stimulation parameters in electroacupuncture treatment; the signal processing module is used for collecting local field potential of a spinal cord injury area and electromyographic signals around the injury in real time, preprocessing the collected signals and extracting time-frequency characteristics of the signals. The evaluation module is used for inputting the time-frequency characteristics of the signals into an electro-acupuncture evaluation model, evaluating the neural pathway in real time through the electro-acupuncture evaluation model and outputting an evaluation result; the adjusting module is used for adjusting the frequency, waveform and current intensity parameters of the electroacupuncture needle based on the evaluation result and a Q-learning algorithm, searching an optimal electroacupuncture needle parameter combination and feeding back the optimal electroacupuncture needle parameter combination to the electroacupuncture needle; according to the invention, the pertinence and effectiveness of treatment are improved.

The invention discloses a cerebral apoplexy thrombolysis patient evaluation method, device and equipment and a storage medium, and the evaluation method comprises the steps: obtaining patient information, obtaining the weight data of a patient from a record database, reading the type of a drug, obtaining a dose coefficient and a conversion factor from a drug database, dose data of the thrombolytic drug is calculated through a first formula and is sent to the display module to be displayed, rapid conversion of the administration dose is achieved, calculation errors of the thrombolytic drug dose are avoided, then blood pressure data, heart rate data and blood oxygen saturation data of a patient are obtained in real time, and the accuracy of thrombolytic drug dose calculation is improved. And judging whether the vital signs are correspondingly located in the first range, the second range and the third range or not, and if not, sending out an alarm signal, so as to accurately judge the vital sign data of the thrombolysis patient, timely discover abnormity and send out an early warning.

This application relates to the technical field of data management and analysis, and particularly to a method and system for evaluating the efficacy of liver cancer TACE based on patient-reported outcomes. Obtain a request set monitoring request transmitted by an evaluation server, where the request set monitoring request is configured with a first request set tag; according to the first request set tag, obtain the associated request report and the evaluation record report corresponding to the request report; perform a credibility evaluation on the request report based on the evaluation record report to obtain a first credibility evaluation record; if it is determined that the request report is credible through the first credibility evaluation record, then execute the request time point according to the monitoring priority and perioperative key points at the request time point to complete the target patient evaluation project. The present invention can solve the problem of difficult evaluation of the efficacy of liver cancer TACE, promote the development of patients' self-efficacy monitoring and efficacy management work in clinical practice, and help improve the prognosis and quality of life of patients.

The application discloses a doctor dynamic grading matching method and system based on patient information, relates to the technical field of medical data, and the system of the application constructs a doctor information screening module, screens doctors with corresponding qualifications and service region matching according to core requirements of a service package, and synchronously displays information such as a professional field of the doctors and patient evaluation; secondly, a two-way confirmation is realized through an association request mechanism, the doctors can decide whether to accept the association according to their own ability, and passive binding is avoided; finally, the information of the associated doctors is synchronously transmitted to a patient end, the patient can clearly know the doctor resources before purchase, and independently selects a contracting object, thereby achieving the technical effect that the professional adaptability of a family doctor service package and the doctors can be guaranteed, and the service requirement of the patient is met, and the technical problem that the current primary medical platform cannot guarantee the professional adaptability of the family doctor service package and the doctors, and it is difficult to meet the service requirement of the patient is solved.

The invention relates to the technical field of medical treatment, and discloses a vibration capsule endoscope safety monitoring system, which comprises a patient evaluation module, an equipment monitoring module and a real-time early warning module, and is characterized in that the patient evaluation module is used for obtaining basic information data of a patient, then carrying out patient applicability evaluation, and judging whether the patient is applicable to a vibration capsule endoscope according to an evaluation result; the equipment monitoring module is used for monitoring patient check monitoring data after a patient is suitable for the vibration capsule endoscope and the vibration capsule endoscope is implemented, calculating a patient state index, an equipment performance index and a comprehensive safety index according to the patient check monitoring data, and performing abnormality assessment; and the real-time early warning module processes and receives the abnormal signal and gives an abnormal alarm. Through accurate evaluation, dynamic monitoring and intelligent early warning driven by data, the safety and reliability of inspection are remarkably improved, and a scientific basis and risk guarantee are provided for doctors and patients.

The invention discloses a grading intelligent evaluation system and method for patients in an anesthesia recovery period, belongs to the technical field of anesthesia, and solves the problems that subtle changes of numerous physiological parameters of the patients are difficult to comprehensively and continuously monitor by adopting a traditional evaluation mode and depending on self-evaluation of indexes of a monitor and the like at present; the method comprises the following steps: collecting physical sign monitoring data of a patient in real time based on a sensor and an Internet of Things technology, carrying out multi-dimensional parallel evaluation analysis on the physical sign monitoring data of the patient by an anesthesia recovery period patient evaluation model, and outputting an evaluation analysis result of the patient. Judging whether the real-time state evaluation level exceeds a preset patient risk threshold value or not; according to the method, the anesthesia recovery period patient evaluation model is used for carrying out multi-dimensional parallel evaluation analysis on the physical sign monitoring data of the patient, the nursing grading requirement of the patient is judged in an intelligent mode, objectivity and scientificity of nursing grading decision making are ensured, nursing quality is improved, complication risks are reduced, and meanwhile the comfort degree and satisfaction degree of the patient are improved.

The invention discloses a closed-loop binaural vagus nerve stimulation system integration and a closed-loop binaural vagus nerve stimulation method for neural rehabilitation. The system integration comprises a host, a binaural stimulation module, a rehabilitation training execution module and a myoelectricity acquisition module. The rehabilitation training execution module integrates a myoelectricity synchronous hemiplegic upper limb rehabilitation system (including a visual assistance and mirror image training subsystem), a dysphagia synchronous training system and a breathing pairing synchronous training awakening system. When the system works, a corresponding mode is started according to an evaluation result of a patient to guide the patient to execute a target training action through a healthy-side target muscle group; a myoelectricity acquisition module synchronously acquires a myoelectricity signal generated by the action; the host processes the signals, generates or adjusts electrical stimulation parameters of the vagus nerves of the two ears in real time according to the signals, and applies electrical stimulation in a target time window of action execution, thereby forming closed-loop nerve regulation and control with healthy-side myoelectricity as real-time feedback. According to the invention, accurate and personalized synchronization of multi-mode rehabilitation training and central nervous regulation and control is realized.

The application discloses a cervical and lumbar vertebra evaluation training device, and relates to the technical field of medical devices.The device comprises a base, a support seat and a seat arranged on the base, a support and a display screen arranged opposite to the seat, an electric push rod and a handrail arranged on the side of the seat, the display screen being electrically connected with a central processor and a camera, a mathematical model for cervical spondylosis patient evaluation training being arranged in the central processor, the display screen being used for putting patterns corresponding to the evaluation training mathematical model, the evaluation training mathematical model being used for converting the time domain function of the cervical vertebra movement state into a frequency spectrum function, and being used for analyzing the frequency distribution and characteristics of the cervical vertebra movement state.The cervical and lumbar vertebra evaluation training device is used for putting a rotating pattern by using the display screen, guiding the cervical spondylosis patient to make a head rotating movement, and analyzing the time domain and frequency domain of the cervical vertebra movement state by using the camera and the central processor, so as to evaluate and train the cervical vertebra function.

The Ultrasound Lymphatic Treatment System and associated Manual and Ultrasound-Enhanced Lymphatic Drainage Method provide an integrated solution for preoperative and postoperative lymphatic stimulation. The system comprises a programmable ultrasound delivery subsystem, manual drainage implements, and a protocol-driven control module with real-time sensor feedback. The method includes individualized patient evaluation, mapping of lymphatic zones, and sequential application of manual drainage and low-frequency ultrasound along anatomically validated pathways. The system generates a patient-specific lymphatic zone map and session ultrasound parameter set, enabling reproducible, zone-targeted therapy. Closed-loop regulation of ultrasound parameters and contact pressure ensures safety and efficacy. The invention standardizes the combination of manual and ultrasound modalities, accelerates edema resolution, reduces pain, and supports immune recovery, addressing the lack of coordinated, evidence-based lymphatic care in surgical patients.

The invention provides a fall prediction alarm device, system and method based on gait analysis, the device, system and method are attached to feet, ankles, knee joints and the like so as to collect data such as action lines, muscle contraction, joint movement tracks and joint pressure, a module wirelessly uploads gait monitoring data to a background, gaits are analyzed by integrating the data on the background, and the fall prediction alarm device, system and method based on gait analysis are provided. The states of rehabilitation patient evaluation, fall prediction, fall prevention and the like are comprehensively evaluated. Fall prevention analysis can be carried out by fusing multi-dimensional gait analysis indexes, and a more accurate fall gait analysis result is provided for fall prevention analysis early warning. Fall judgment is carried out based on the gait features, the occurrence of false alarm of fall can be reduced, and the management level is optimized.

The application discloses an oral cavity weakening patient evaluation and functional rehabilitation training guidance system, method and equipment based on artificial intelligence, and the system comprises a video acquisition module, a video preprocessing module, an AI action recognition and posture estimation module, an action deviation comparison and error correction strategy generation module and a real-time feedback and data recording module.

The application provides a cancer patient intelligent old-age care decision-making method based on dynamic psychological evaluation, and belongs to the technical field of intelligent decision-making, and comprises the following steps: obtaining direct evaluation replies of a patient evaluation block and analyzing psychological words, obtaining corresponding contradictory intentions through single reply and contradictory analysis of the evaluation block level; then, global contradictory analysis is performed on the evaluation block core word vector to determine a contradictory resolution probability; then, a first resolution direction is determined in combination with a patient behavior and a psychological dependence image, a second resolution direction is determined according to a contradictory intention connection relationship, a modified reply is generated after the resolution direction is fused and the resolution probability is adjusted; finally, a care sub-scheme is generated according to the modified reply, and the comprehensive old-age care scheme is updated and integrated according to an evaluation period, so that the fitting degree and reliability of the care scheme and the actual state of the patient are improved.

The invention relates to a patient evaluation classification method based on an improved LDA topic model, and aims to efficiently and accurately classify patient written evaluations served by general practitioners. Firstly, patient evaluation is processed through a series of preprocessing steps including word segmentation, abbreviation conversion, stop word removal, number and special character removal and low-frequency and high-frequency vocabulary removal. Thirdly, analyzing the data by applying various unsupervised clustering algorithms to generate a plurality of clustering results, and calculating ambiguity so as to construct a high-confidence data set; and training an improved LDA topic model by using the data set, including calculating an inter-class scatter matrix and an intra-class scatter matrix, updating a projection matrix, re-clustering the data set by using the projection matrix, and determining 60 class center topics. And finally, determining a text topic category for a given user evaluation text. The innovation of the invention lies in that multiple clustering algorithms and high-confidence data selection are combined, the accuracy of topic model training is improved, and through 60 finely divided topic categories, the patient evaluation classification is more accurate, and the improvement of the medical service quality is facilitated.

The present disclosure encompasses systems and methods for determining whether an individual is present with sepsis or determining the risk of developing a high risk individual to sepsis, including within about 24 hours after obtaining measurements and / or information of one or more factors associated with the individual. In particular embodiments, an output (e.g., a quantitative value) may be generated using one or more input characteristics (e.g., one or more demographic information, patient evaluation, vital signs, hematological laboratory measurements, chemical panel measurements, and / or sepsis-related biomarkers), the output indicates that the individual's risk of developing sepsis is a low risk, a medium risk, a high risk, or a very high risk.

This invention provides a doctor recommendation method based on demand keyword parsing and multi-dimensional doctor influence assessment. It extracts semantic information such as user symptom entities and modifiers through sliding window segmentation and deep learning models to generate a confidence-based intent representation. It adaptively detects user intent drift using cosine distance variation and outputs the intent evolution strength. It integrates data such as doctor clinical behavior flow and patient evaluations, and uses time-weighted convolution to measure doctor dynamic influence. It dynamically gates and adjusts the doctor influence weights based on intent drift strength, achieving an organic combination of behavior and historical reputation. Combining real-time doctor influence, expertise vectors, and resource supply, it calculates a comprehensive matching score, and then outputs a personalized list of top ten doctor recommendations, generating corresponding demand-focused explanation tags. This invention improves the sensitivity of the recommendation system to changes in user needs and enhances the timeliness and fairness of doctor ranking.

According to the intelligent infusion management system and method based on AI analysis, advanced technologies such as the Internet of Things and artificial intelligence are applied, and the real-time, accurate and closed-loop intelligent infusion management system is constructed. Through automatic real-time monitoring and intelligent early warning, immediate intervention is performed before serious risks such as medicine errors, out-of-control dripping speed, air embolism and liquid medicine exosmosis occur, and preventive medical accidents are completely eradicated; secondly, nursing productivity is deeply liberated, invalid working hours and physical and mental burdens are reduced, precious time and professional ability of the patient return to core nursing values such as patient evaluation, personalized care and health guidance, and nursing quality and occupational satisfaction are improved; and finally, the management lean and the decision-making intelligence are driven, and a solid data foundation is provided for accurately scheduling resources (manpower, medicines and consumables), optimizing the working process, continuously improving the quality and coping with potential disputes through full-process automatic data acquisition, analysis and tracing.

This disclosure is directed to medical systems and techniques configured to test candidate implantation sites. An example medical tool includes a housing for one or more sensors. The housing is configured to be at least partially inserted into a body of a patient. The one or more sensors have a configuration corresponding to one or more sensors of a medical device to be implanted. The medical tool includes communication circuitry configured to transmit, to a computing device, sensor data generated from signals captured by the one or more sensors. The computing device is configured to run a test on the sensor data to identify an implantation site from at least one candidate implantation site for the medical device.