6 results about "Blood pressure control" patented technology

The invention relates to a hypertension closed-loop management system and method based on a blood pressure load and a multi-dimensional portrait. The method comprises the following steps: acquiring blood pressure time sequence data of a user; processing the blood pressure time sequence data according to a preset clinical threshold value, and calculating a blood pressure load index BP Burden; according to the blood pressure time sequence data, the blood pressure load index BP Burden and other clinically common blood pressure indexes, a multi-dimensional quantitative evaluation label is generated according to a preset evaluation rule; comprehensively judging the blood pressure management state of the user according to the quantitative evaluation label, and matching a preset intervention strategy knowledge base to generate personalized intervention suggestions; and presenting the quantitative evaluation label, the blood pressure management state and the intervention suggestion to a user or a doctor end, and receiving execution feedback to form closed-loop management, and the method has the advantages that the technical effects of accurate prediction of cardiovascular risks and dynamic optimization of blood pressure control quality are achieved.

The application discloses a personalized health behavior incentive system and method based on blood pressure feedback, multi-dimensional data is collected through a PPG+ECG dual-mode sensor, an XGBoost model is combined to establish a behavior-blood pressure correlation mechanism, personalized incentive and model adaptive updating are realized, user health management compliance and blood pressure control effect are effectively improved, and an intelligent solution is provided for health management of a chronic disease population such as hypertension.

The invention provides an intelligent optimization method and system for personalized intraoperative blood pressure management, and relates to the technical field of intraoperative monitoring. The method comprises the following steps: continuously collecting multi-modal real-time physiological data for describing the circulation state of a patient in an operation process; based on the multi-modal real-time physiological data, constructing a state vector reflecting individual haemodynamics; inputting the state vector into a blood pressure optimization decision model subjected to offline pre-training and online self-adaption to obtain a regulation and control instruction aiming at the vasoactive medicine and / or infusion; adjusting the administration or infusion rate through an execution mechanism according to the regulation and control instruction; and updating the state vector according to the multi-modal real-time physiological data obtained after adjustment, and adaptively correcting the blood pressure optimization decision model to form closed-loop optimization control. According to the invention, the precision, the adaptability and the safety of intraoperative blood pressure control can be obviously improved, and the method has a good clinical application prospect and expansibility.

The invention relates to the technical field of medical instruments, and particularly discloses an ablation electrode which comprises a needle tube, an ablation mechanism and a driving mechanism, the ablation mechanism is connected to the far end of the needle tube and provided with a plurality of ablation ends capable of moving in the radial direction of the needle tube, electrode plates are arranged at the ablation ends, and the electrode plates are evenly distributed in the circumferential direction of the needle tube at intervals; the driving mechanism drives the ablation mechanism to be switched between an opening state and a closing state, and in the opening state, the electrode slices protrude outwards to form an annular ablation area. The electrode plates are annularly distributed after being expanded, the attaching distance between the electrode plates and the blood vessel wall can be flexibly adjusted according to the inner diameter of the renal artery, the problem that non-coplanar electrode plates cannot adapt to blood vessels with different tube diameters is solved, meanwhile, the annularly distributed electrode plates can form complete energy coverage on the same radial section, ablation gaps are avoided, and the ablation efficiency is improved. Therefore, the sympathetic nerve fiber is comprehensively blocked, and the long-term effectiveness of blood pressure control is improved.

The application discloses a kind of multi-agent high blood pressure clinical decision-making auxiliary system and method based on data driving, belong to medical artificial intelligence and clinical pharmacy cross field.Aiming at the low blood pressure control rate (11.0%) of 2.45 million high blood pressure patients in China, lack of precision medicine tool for primary doctors, adverse reactions caused by low blood pressure caused by drug are easily ignored and other clinical pain points, the application innovatively proposes "real world drug warning data→risk signal automatic identification→clinical decision-making rule conversion→multi-agent collaborative decision-making→clinical feedback closed loop" complete technical route.System core innovation includes: (1) drug warning signal three-level hierarchical automatic conversion engine, establish signal intensity quantization model, automatically generate red / orange / yellow three-level differential early warning rule;(2) patient characteristic driven dynamic threshold adjustment algorithm, according to age, combined disease, organ function and other risk factors, real-time calculation individualized early warning threshold;(3) five-agent decoupled pipeline architecture (A1 information structure→A2 similar case retrieval→A3 safety warning→A4 decision generation→A5 quality control), adopt rule engine and large language model dual-engine collaborative mechanism;(4) four-layer anti-illusion verification system, through hard rule verification, guideline compliance verification, LLM self-evaluation, literature reference authenticity verification to ensure output reliability;(5) clinical feedback driven continuous learning mechanism, construct "decision→application→follow-up→labeling→fine-tuning" data closed loop.This system fills the technical gap between drug warning and clinical decision support system.

This invention discloses a dietary health management system for patients with hypertension, belonging to the field of medical and health management technology. Through multi-dimensional data fusion, this invention achieves personalized and precise management of water intake and sodium intake for hypertensive patients. The system's body fluid monitoring module comprehensively collects patients' physiological data, environmental data, dietary data, and medication information. The personalized water treatment module combines this data to calculate the basic water requirement, comprehensively considers temperature, humidity, and activity level to calculate the additional water requirement compensation value, and determines the water target adjustment factor based on medication and weight changes to generate a personalized initial water target value. The sodium-water co-regulation module further adjusts the water target precisely through dynamic balance based on the relationship between sodium intake and blood pressure changes, adapting to each patient's physical condition and lifestyle, ensuring that the patient's water intake and sodium-water metabolism are always maintained at levels conducive to blood pressure control.