6 results about "Patient evaluation" patented technology

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 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 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.

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.

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.