19 results about "Infusion time" patented technology

The invention provides an intelligent infusion monitoring method and system based on multi-sensor fusion, and relates to the technical field of intelligent infusion monitoring. The method comprises the following steps: acquiring infusion process data through a visual sensor, a weight sensor and an infrared sensor; aligning the time sequence labels and synchronously generating a fusion data stream; extracting a liquid level height characteristic, a weight change rate and a real-time dripping speed value, and carrying out dynamic weighting calculation; acquiring infusion doctor's advice data of a hospital information system, and extracting a preset dripping speed range and a total liquid amount; calculating the residual infusion time based on the weighted data and the total liquid amount correlation; when the weighted real-time dripping speed value deviates from a preset range, the weighted weight change rate is not matched with the liquid level height trend or the dripping speed pulse signal is lost, an early warning instruction is generated; and the remaining time and the early warning state are visually displayed at the nurse station terminal. Through multi-source data fusion and cross validation, the problems of incomplete monitoring, time sequence dislocation and early warning lag are solved, and infusion safety and management efficiency are improved.

The invention discloses an internal medicine emergency patient medical assistant system and method based on artificial intelligence, and relates to the technical field of medical treatment.The method comprises the steps that multiple sensor sets are arranged, and infusion physiological state data are collected in real time; carrying out data preprocessing and standardized normalization processing through an AI preprocessing strategy to form a standard infusion physiological state data set; inputting the standard infusion physiological state data set into the infusion time prediction model in the constructed infusion time prediction model, realizing high-precision prediction of the infusion completion time prediction value Tinf of the patient in combination with nonlinear attenuation modeling, and dividing the internal medicine emergency patients who are about to complete infusion through a preliminary comparison evaluation mechanism so as to obtain an infusion completion time prediction value Tinf; therefore, a patient group about to complete infusion is recognized in advance, accurate early warning and pre-planning of a liquid changing task are achieved, and the occurrence rate of adverse events such as infusion empty passing, blood return and vein blockage is remarkably reduced.

The invention belongs to the technical field of biomedical engineering, and discloses a mobile infusion safety monitoring and remote early warning system and method based on edge computation.The mobile infusion safety monitoring and remote early warning system comprises a data stream monitoring unit, a data processing unit and a remote early warning unit, the data stream monitoring unit is used for collecting infusion dripping speed data of a patient in an ICU inpatient area and converting the infusion dripping speed data into dripping speed digital signals through an ADC module arranged in an infusion support edge node; distributing along the vertical direction of the infusion container, dynamically monitoring the residual liquid amount, and eliminating shaking interference in combination with a compensation algorithm to obtain the accurate residual liquid amount; the ICU central monitoring terminal is synchronously connected to obtain physical sign data of the patient; the edge intelligent analysis unit is used for predicting the infusion remaining time according to the accurate remaining liquid amount; acquiring infusion medicine types, and dynamically sequencing sickbed lists on a nurse bracelet interface in combination with infusion remaining time; starting a zero call mode for a common inpatient area, cancelling all local sound-light alarms, and only retaining vibration alarm information sent by a nurse bracelet; the infusion monitoring reliability is improved, and the burden of medical staff is reduced.

The utility model relates to the technical field of medical instruments, and discloses a limb fixing device which comprises a first fixing unit and an adjusting unit, the adjusting unit is arranged, so that the height of one end of the first fixing unit relative to the other end of the first fixing unit is adjusted according to the requirements of a patient; the height of one side of the limb of the patient relative to the other side of the limb of the patient is adjusted under the condition that the relative positions of the limbs at the two ends of the joint of the patient are not changed, so that the position of the limb of the patient is adjusted, numbness of the limb of the patient caused by too long infusion time is avoided, and the technical effect of improving the comfort of the patient is achieved.

The invention relates to the technical field of intelligent infusion monitoring, and discloses a remote intelligent infusion management system which comprises a data acquisition module used for acquiring infusion container weight data, liquid flow data, medicine characteristic parameters, patient physiological parameters and nursing personnel real-time position data in real time; the dynamic compensation module is used for calculating the remaining infusion time according to the infusion container weight signal, the flow data, the medicine characteristic parameters and the patient physiological parameters which are obtained in real time; the graded early warning module is used for generating a multi-stage early warning instruction according to the remaining infusion time and a preset threshold value set, and synchronously generating an acousto-optic prompt of a nurse station center console; and the resource scheduling module is used for generating a scheduling path according to the early warning instruction and the real-time position of the nursing personnel. Full-link closed-loop management of accurate prediction-hierarchical alarm-intelligent scheduling is formed, and the prediction accuracy and the scheduling efficiency are improved.

The invention relates to the technical field of resin infusion monitoring, in particular to a resin infusion process monitoring system based on ultrasonic waves, which is provided with a data acquisition module, a pre-analysis module, an area identification module, an infusion analysis module and an infusion regulation and control module. Feature monitoring areas are marked through an area identification module, an ultrasonic feedback curve of each feature monitoring area is constructed through a perfusion analysis module, a coupling target moment of each feature monitoring area is determined, perfusion time sequence analysis is performed on each feature monitoring area to obtain an area perfusion sequence, and flow characterization parameters are determined through a perfusion regulation and control module. Therefore, whether the perfusion pressure parameters are optimized or not is judged. According to the method, the characteristic monitoring area is marked according to the actual characteristics of the mold, the ultrasonic monitoring points are subjected to conjoint analysis so as to adaptively adjust the technological parameters of the pouring process, and the reliability of monitoring the resin pouring process is improved.

Dialysis device for performing peritoneal dialysis with at least one control unit, with at least one input unit for inputting one or more values, and with at least one processor, wherein the processor is designed to perform a method for estimating the treatment duration of a peritoneal dialysis treatment, wherein the estimation of the treatment duration is based on an ideal treatment duration, wherein the ideal treatment duration is increased by one or more delay values, characterized in that the delay values ​​depend on one or more patient-specific parameters.where a patient-specific parameter is catheter performance and the catheter performance is taken into account when estimating the infusion time and / or when estimating the outflow time and / or when estimating the duration of the last infusion, and the catheter performance, and in particular an absolute or relative increase thereof, is editable by a user.

The invention relates to the technical field of medical data processing, in particular to an intelligent monitoring method and system for intravenous infusion treatment, and the method comprises the steps: obtaining infusion time sequence data and monitoring time sequence data; calculating a medicament flow state value and a physiological index change degree based on the infusion time sequence data and the monitoring time sequence data; calculating a state evaluation value and an abnormal position factor according to the medicament flow state value and the physiological index change degree; calculating the abnormal position factor according to a preset priority calculation functional expression to obtain a processing priority; and sending the abnormal information of the abnormal patient to the terminal according to the processing priority. Transfusion and monitoring data are collected in real time to evaluate the drug delivery state and physiological index changes; the abnormal state and the abnormal position of the patient are further evaluated based on the drug delivery state and the physiological index change, so that the timeliness and the accuracy of abnormal injection monitoring are improved, and the defect of manual monitoring is overcome.

The invention discloses an infusion monitoring method and system and a mobile terminal, and belongs to the technical field of medical assistance. The method comprises the following steps: receiving infusion volume data; the infusion speed is calculated by shooting a falling video of liquid drops in the infusion tube; calculating the total infusion time and starting countdown according to the infusion volume data and the infusion speed; when the remaining infusion time or the remaining liquid volume is smaller than a set threshold value, a reminding signal is sent out. The invention also provides a corresponding system and a mobile terminal. The infusion monitoring system has the beneficial effects that the infusion speed and the remaining time are automatically monitored through the camera and the computing power of the mobile terminal, the workload of manual observation is reduced, and the infusion safety is improved; the infusion capacity is automatically obtained through the image recognition technology, and user operation is simplified; a user is allowed to manually adjust the infusion speed and the residual capacity, and the flexibility and the accuracy of the system are improved; through vibration and sound reminding, a user can know the infusion state in time. Keywords include infusion monitoring, a mobile terminal, liquid drop detection, image recognition and medical assistance.

A method is described for selectively changing the temperature of a cavity from a reference temperature to a target temperature different from the reference temperature. The method includes turning on an infusion mechanism to infuse fluid into the cavity through a first fluid pathway and an infusion lumen in a catheter component for an infusion time. The fluid is brought to a target fluid temperature before reaching the cavity. The method also includes periodically or continuously removing at least a portion of the fluid through a second fluid pathway, monitoring the temperature of the cavity, and maintaining the target temperature for a predetermined time.

The application discloses an infusion monitoring method, an infusion monitoring device, an electronic device and a storage medium, and belongs to the infusion monitoring field. The method comprises the following steps: acquiring an infusion flow curve of a to-be-infused medicine liquid, wherein the infusion flow curve comprises a corresponding relationship between an infusion time and an infusion standard instantaneous flow rate; under the condition that the instantaneous flow rate of the medicine liquid is constant, acquiring a current instantaneous flow rate of the medicine liquid flowing through an infusion tube, and comparing the current instantaneous flow rate of the medicine liquid with an infusion standard instantaneous flow rate corresponding to a corresponding time in the infusion flow curve; if a difference between the current instantaneous flow rate of the medicine liquid and the infusion standard instantaneous flow rate is within a preset difference range, the flow adjustment component is not adjusted; if the difference between the current instantaneous flow rate of the medicine liquid and the infusion standard instantaneous flow rate is not within the preset difference range, the flow adjustment component is adjusted to adjust the flow rate of the medicine liquid flowing through the infusion tube, until the difference between the current instantaneous flow rate of the medicine liquid and the infusion standard instantaneous flow rate is within the preset difference range.

The invention relates to the technical field of automatic control of medical instruments, and discloses an infusion pump automatic control method for achieving intelligent infusion. The method comprises the following steps: constructing an infusion time sequence frame according to a multi-medicine infusion scheme, and establishing a dynamic fluid behavior model for describing infusion, retention and flushing processes of medicine liquid in a pipeline by combining pipeline parameters and medicine liquid characteristics; based on the model, a dynamic infusion path from a liquid medicine container to a blood vessel inlet of a patient is generated for each liquid medicine, continuous automatic control instructions including flow velocity change, direction control and valve switching are planned, and finally an infusion pump is driven to execute operation. According to the method, through dynamic accurate modeling and path planning of the liquid medicine in the pipeline, full-process automatic accurate control over multi-medicine sequential infusion is achieved, medicine cross contamination is avoided, and the dosage of flushing liquid and the infusion interval time are reduced.

The utility model provides an intelligent titration infusion sensing device and a titration infusion device. The sensing device comprises a contraction assembly and a control module, the contraction assembly is provided with an assembly space, the dropper penetrates through the assembly space, and the contraction assembly can stretch out and draw back in the radial direction parallel to the dropper to change the size of the assembly space in the radial direction of the dropper so as to change the radial cross-sectional area of the dropper; the control module comprises a blood flow sensor and a control circuit board; the blood flow sensor is used for sensing the human body blood circulation degree in real time; the blood flow sensor and the contraction assembly are electrically connected to the control circuit board, and the control circuit board is used for receiving the human body blood circulation degree and controlling the stretching degree of the contraction assembly based on a first comparison result of the human body blood circulation degree and a first threshold value. During infusion, according to the blood circulation degree of a patient, the infusion speed is adjusted through the contraction assembly, the blood circulation degree of the human body is changed, and the comfort degree of the patient is improved while it is guaranteed that the infusion time is not too long.

An intelligent infusion control method, system, storage medium and program product, in which a compatibility matrix of drugs to be infused is generated based on physical and chemical properties; each drug to be infused is divided into a number of infusion time window groups based on the compatibility matrix and the compatibility interval duration; a corresponding number of infusion clamps are allocated to each infusion time window group, and an infusion clamp group control model is established; the instantaneous drip rate and cumulative infusion volume of each infusion clamp are collected; the real-time infusion rate of each drug to be infused is calculated based on the instantaneous drip rate, and the remaining amount of each drug to be infused is determined based on the cumulative infusion volume; when it is detected that the remaining amount of the drug to be infused in any infusion time window group is less than a preset threshold, the start time of the next infusion time window group is calculated according to the infusion clamp group control model; at the start time, the infusion clamp corresponding to the current infusion time window group is controlled to be closed, and the infusion clamp corresponding to the next infusion time window group is controlled to be opened, thereby improving the safety of the patient's infusion.

To provide a drug delivery system that enables a user to adjust an injection time within an allowable range calculated on the basis of drug information.SOLUTION: A drug delivery device is configured to inject a drug over an injection time within an allowable range calculated on the basis of information related to the drug to be injected. Specifically, the described drug delivery device enables identification of the drug to be injected 502, calculation or determination of the allowable range of the injection time of the identified drug 504, determination of individualization injection time within the allowable range of the injection time 508, and setting of a delivery speed of a drive part such that the drug is discharged over the individualization injection time 510.SELECTED DRAWING: Figure 5

The present invention discloses an artificial intelligence-based medical assistant system and method for emergency internal medicine patients, which relates to the field of medical technology. The method collects infusion physiological status data in real time by setting up multiple sensor groups; performs data preprocessing and standardization and normalization through an AI preprocessing strategy to form a standard infusion physiological status data set; inputs the standard infusion physiological status data set into the constructed infusion time prediction model, and combines nonlinear attenuation modeling to achieve high-precision prediction of the patient's infusion completion time prediction value Tinf, and divides emergency internal medicine patients who are about to complete infusion through a preliminary comparative evaluation mechanism, thereby identifying the patient group whose infusion is about to be completed in advance, achieving accurate early warning and advance planning of fluid exchange tasks, and significantly reducing the incidence of adverse events such as infusion emptying, blood return, and venous tube blockage.

An infusion pump programming system with automated dose evaluation, real-time infusion rate calibration, and safety validation. The infusion pump programming system comprises a computing device having a processor and a memory for storing instructions that are executed by the processor. The computing device is communicatively coupled with a server via a network. The infusion pump programming system automates recalibration of multi-step infusion protocols whenever rate, volume, or total infusion time is modified, eliminating manual re-entry and reducing evaluation errors. The infusion pump programming system preserves clinical logic and sequencing of infusion steps such as ramp-up, main infusion, ramp-down, and flush phases ensuring that safety thresholds and dosing rules remain intact during reevaluation. The infusion pump programming system has wide commercial applicability across hospitals, outpatient centers, pharmacies, and home-care infusion services. The infusion pump programming system substantially reduces staff time spent on manual infusion evaluations and documentation.

The invention relates to the technical field of infusion apparatuses, in particular to an automatic medicine changing split infusion apparatus based on artificial intelligence, which comprises a main body, a controller is mounted in the main body, and a shunt injector and an infusion tube are mounted at the input end and the output end of the controller respectively; the controller comprises a medicine information input module, a medicine risk assessment module, an infusion sequence customization module, an infusion process control module and a monitoring and adjusting module. According to the method, through medicine information standardization processing and database matching, information input errors are reduced, medicine combination extraction and interaction analysis are carried out, medicine conflict risks are reduced, the infusion time and sequence are dynamically adjusted in combination with patient medical records and medicine characteristics, the pertinence and continuity of treatment are improved, and by monitoring the dripping speed and the infusion amount in real time, the treatment efficiency is improved. Abnormality is accurately recognized and adjusted, safety of the infusion process is guaranteed, medicine replacement automation and real-time data sharing are achieved, treatment efficiency and transparency are improved, and the intelligent requirement of complex medical scenes is met.

The invention discloses a small target identification method and system in an infusion monitoring scene, and relates to the technical field of computer vision and medical monitoring, and the method comprises the steps: obtaining a ward map and a medical care on-duty position, and collecting and marking the image height of an infusion bag / bottle; the method comprises the following steps: tracking a liquid surface by using continuous frame images, calculating a real-time flow rate through a two-dimensional vector, fitting a liquid level change curve to predict residual infusion time, calculating priorities by taking a medical care patrol moment as a reference and integrating a time difference, a sickbed distance and a patient condition weight, generating a path list arranged in a descending order according to the priorities, and pushing the path list to medical care personnel. The method replaces manual patrol, achieves accurate prediction of infusion completion time, resource scheduling optimization and path dynamic planning, remarkably improves monitoring precision, response speed and manpower efficiency, and is suitable for a multi-sickbed complex scene.