3265results about "Flow monitors" patented technology

An auto-occlusion safety device is provided for use in preventing rupture of infusion components during rapid infusion procedures. An occlusion valve is disclosed having a threshold pressure that is less than a rupture tolerance of the infusion system components. As the fluid pressure of the infusion system increases beyond the threshold pressure of the occlusion valve, the occlusion valve is automatically activated thereby occluding fluid flow upstream from a vulnerable infusion component. An accumulator is further disclosed for use in combination with the safety device to compensate for time delays in full activation of the occlusion valve.

A fluidics system includes a cassette having a saline subsystem, a contrast subsystem, and a vacuum subsystem. The fluidics system further includes a splitter and a first tubing set coupled to the cassette and splitter, the first tubing set having a single saline channel, a single contrast channel, and a single vacuum channel. The fluidics system further includes two or more hub assemblies, at least one of the two or more hub assemblies configured to have a third saline flow-path, a third contrast flow-path, and a third vacuum flow-path to provide saline, contrast and vacuum to the lumen of a catheter coupled to the at least one of the two or more hub assemblies. The fluidics system further includes a second tubing set having a plurality of tube groups, each tube group coupled to the splitter and to one of the two or more hub assemblies.

Devices and methods to mitigate the erroneous signal imparted by physical and / or chemical process incident upon analyte-selective electrochemical sensors that are non-analyte-related in origin are disclosed herein. A sensing system featuring at least one of an analyte-selective sensor and at least one of an analyte-invariant sensor.

The invention relates to the technical field of medical equipment, and discloses a multi-head transfusion intelligent switching control system, which comprises the following modules interconnected with a control bus through a data bus: a multi-source information binding module; a multi-modal sensing data fusion module; an intelligent safety control module; an edge-cloud collaborative decision module; a human factor engineering interaction module; a system full life cycle management module; and an infusion pipeline switching execution mechanism. Through the multi-mode sensing fusion and real-time data processing technology, the whole-course automatic monitoring of the infusion progress, the flow speed and the remaining medicine amount is achieved. The nurse station central billboard and the mobile terminal synchronously display infusion states of all beds, sound-light alarm is triggered in time when abnormal conditions occur, manual patrol video frequency is remarkably reduced, an edge computing node is applied to carry out localized data analysis, and it is ensured that alarm response delay is lower than a clinical safety threshold value. And the problem of low efficiency caused by manual regular patrol traditionally is effectively solved.

Systems and methods implement algorithms for initializing medical devices, including by programming initial medical device settings. Further, systems and methods implement adaptive algorithms for changing medical device settings. Settings initialization algorithms can calculate the settings most likely to be applicable for the patient at-issue using databases of positive clinical outcomes and respective therapy settings for existing users. Settings adaptation algorithm are configured to update medical device therapy settings at one or more intervals including based on databases of positive clinical outcomes and respective therapy settings for existing users.

A modular disease management system may provide medication management for a patient. The system may include a base configured to at least partially couple to a tissue site of a patient. The system may further include a medication bladder coupled to the base and configured to maintain medication. The system may further include a medication pump coupled to the medication bladder, comprising a conduit and muscle wire-actuated plungers, wherein the medication pump is configured to cause the medication to flow from the medication bladder through the conduit. The system may further include a cannula insertion device coupled to the medication pump via the conduit, wherein the cannula insertion device comprises a cannula, a spring, and a triggering component, wherein the cannula insertion device is configured to insert the cannula into the tissue site of the patient by actuation of the spring released by the triggering component.

The invention discloses an intelligent infusion monitoring management system, and relates to the technical field of medical equipment, and the system comprises the steps: collecting patient data, synchronizing the patient data to a central monitoring system through a block chain technology, and generating a personalized infusion scheme; based on a personalized infusion scheme, a medical worker uses a mobile device to carry out identity verification on a patient and obtain medicine information, and a voice assistant function is integrated; the monitoring module is responsible for monitoring vital signs of a patient and the temperature of a ward by using wearable equipment and a temperature sensor, and adjusting a personalized infusion scheme and liquid temperature according to the vital signs and the temperature of the ward; the risk value prediction module is responsible for predicting risk values of blockage and leakage according to the adjusted personalized infusion scheme and the liquid temperature and setting a graded alarm mechanism; patients and family members receive the infusion progress through the intelligent infusion monitor. According to the invention, the block chain technology and the advanced artificial intelligence algorithm are integrated, so that the health data and medicine information of the patient can be efficiently managed and analyzed.

The invention discloses a peripheral vein puncture blood vessel pressure monitoring system for image enhancement examination based on multi-modal fusion, and relates to the technical field of medical image assistion.The peripheral vein puncture blood vessel pressure monitoring system comprises the steps that image data, sensor data and personalized data of a patient are collected; generating an image feature vector, a sensor feature vector and a personalized feature vector based on the preprocessed multi-modal data, carrying out feature interaction on a multi-modal feature line, carrying out representation fusion by combining Transform with contrast learning, and generating a fusion representation vector; the maximum tolerance pressure, the extravasation risk level and the recommended injection flow rate range of the target puncture point under the current injection flow rate are predicted and evaluated in the blood vessel pressure resistance prediction model, injection suggestions and injection alarms of the target puncture point are generated, and injection parameters are automatically adjusted. According to the method, the personalized safety pressure threshold values of patients with different blood vessel conditions are accurately evaluated, and the safety and accuracy of peripheral vein puncture are remarkably improved.

The invention relates to the technical field of medical monitoring, and discloses a novel infusion alarm and an infusion alarm system. The system comprises an infusion state monitoring module, an alarm decision module and an alarm execution module. A multi-source sensing unit of the infusion state monitoring module is distributed in a liquid level detection area, a drip chamber area and a patient contact area of an infusion tube assembly and collects optical refractive index, gravity change and real-time image data, and a data fusion unit performs heterogeneous signal fusion on the data to generate a multi-mode infusion state signal. A state analysis unit of the alarm decision module receives the signal and outputs a liquid level prediction signal and an infusion abnormal risk signal, and an alarm rule engine generates an alarm trigger threshold according to the signal. And a sound-light alarm unit of the alarm execution module responds to the threshold value to start a sound-light alarm sequence, a remote notification unit generates a graded alarm notification based on the abnormal risk signal, and a man-machine interaction interface outputs a comprehensive risk index.

To provide a device and a method for treating at least one of hypertension, pulmonary arteries, diabetes, obesity, heart failure, end-stage renal disease, digestive disease, urological disease, cancers, tumors, pain, asthma or chronic obstructive pulmonary disease by delivering an effective amount of a formulation to a tissue.SOLUTION: In embodiments of the present invention, the formulation may include at least one of a gas, a vapor, a liquid, a solution, an emulsion or a suspension of one or more ingredients. In embodiments of the present invention, amounts of the formulation and / or energy are effective in injuring or damaging tissue, nerves and nerve endings in order to relieve disease symptoms.SELECTED DRAWING: Figure 3B

A system and a method provide closed-loop sedation, anesthesia, or analgesia by monitoring EEG and automatically adjusting delivery of sedative, anesthetic, and / or analgesic drugs to maintain a desired or predetermined level of cortical at all echelons of care. The system and the method further monitor a subject's cortical activity to detect occurrence of burst suppression which can be indicative of unsafe depth of anesthesia or sedation. Further, the system and the method provide for alteration or cessation of administration of anesthesia or sedation based on the occurrence of burst suppression to mitigate harm to the subject.

This disclosure generally relates to medical devices that include a sensor transmitter assembly that includes a sensor assembly including a sensor module where a first sensor including a first sensor head having at least one first sensor contact pad is combined with a second sensor including a second sensor head having at least one second sensor contact pad. The sensor transmitter assembly also includes a transmitter assembly positioned on a top of the sensor assembly to form a single unit, the transmitter assembly having at least one transmitter contact disposed on a base of the transmitter assembly, where the first sensor contact pad(s) and the second sensor form a connection path with the transmitter contact(s).

A system and method to configure a rule set used in connection with a medical monitoring system for monitoring patients and patient care equipment, especially medication delivery pumps, based on a variety of conditions and parameters associated with monitored biometric information and equipment information and for providing user-defined responses to those conditions and parameters.

A fluidics system includes a cassette having a saline subsystem, a contrast subsystem, and a vacuum subsystem. The fluidics system further includes a splitter and a first tubing set coupled to the cassette and splitter, the first tubing set having a single saline channel, a single contrast channel, and a single vacuum channel. The fluidics system further includes two or more hub assemblies, at least one of the two or more hub assemblies configured to have a third saline flow-path, a third contrast flow-path, and a third vacuum flow-path to provide saline, contrast and vacuum to the lumen of a catheter coupled to the at least one of the two or more hub assemblies. The fluidics system further includes a second tubing set having a plurality of tube groups, each tube group coupled to the splitter and to one of the two or more hub assemblies.

A method, computer program product, and computer system for a cloud-based medication tracking system. The system may include a plurality of intelligent injection devices across multiple healthcare facilities, each having: a barrel in fluid communication with a needle, a piston including a plunger, a microprocessor, a wireless communication module a supply chain tracking system configured to: monitor distribution of an injectable medication, verify availability of the injectable medication, track a global medication delivery pattern relating to the injectable medication, a machine learning system trained to: analyze medication usage data across healthcare entities, predict a supply chain event, optimize an inventory level, and improve a distribution datum.

Systems and methods for providing recommended doses and instructions for pharmaceutical treatments, and more particularly systems and methods for measuring physiological and / or electrophysiological signals from a subject and providing recommended doses and instructions of pharmaceuticals based at least in part on the measured signals are described. Further, the recommended doses and instructions are based at least in part on a subject's disease(s), disorder(s), or injuries and / or symptom(s) of such, and / or side effects of medications or treatments the subject is receiving. The recommended doses and instructions are personally tailored to the subject to precisely and personally address the subject's needs, and may be based in part on correlation with database(s) comprising historical data of the subject and / or other subjects to treat the subject's movement disorders, injuries to the body or brain, cognitive diseases and disorders, sleep diseases and disorders, chronic pain, or other conditions.

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 relates to the technical field of medical treatment, in particular to a multi-parameter collaborative infusion process intelligent monitoring and priority calling method, which comprises the following steps of: acquiring four-dimensional monitoring data through a liquid level pressure sensor array, an infrared dripping speed detection module, a flexible temperature patch and a photoelectric heart rate sensor, and combining an LSTM (Long Short Term Memory) anomaly prediction model, and outputting the pipeline state score, the allergy risk index and the infusion progress prediction value in real time. And generating a real-time risk value through a weight configuration mechanism and stage identification logic, judging a risk level according to a dynamic threshold value, and outputting a corresponding early warning level signal. And the system further maps the early warning level signals into common, emergency and critical call instructions, and distributes the common, emergency and critical call instructions to a multi-channel execution terminal to construct a multi-level linkage response mechanism of closed-loop feedback. According to the invention, the accuracy and response efficiency of infusion risk identification can be significantly improved, and the method is suitable for intelligent reconstruction and automatic early warning response scenes of a clinical nursing information system.

A method may include obtaining blood glucose level readings over a diurnal period for each of a plurality of days and determining an estimated variability of the blood glucose levels over the diurnal period for the plurality of days. The method may also include modifying, based on the estimated variability of the blood glucose level, a target blood glucose level to a modified target blood glucose level, and delivering insulin, using an insulin pump, during the diurnal period based on the modified target blood glucose level.

The invention discloses an infusion monitoring system, which relates to the technical field of infusion monitoring, and comprises a controller with a display screen, an infusion pump arranged at the top of a main body case and used for regulating and controlling the infusion speed, an infusion tube fixing frame arranged on one side of the main body case, and an alarm device arranged on the surface of the main body case, a physiological parameter acquisition module, a medicine characteristic analysis module, a dynamic dripping speed regulation and control module, a liquid abnormity detection module, an AR interaction control module and an alarm cooperative processing module are arranged in the controller; a physiological parameter acquisition module, a medicine characteristic identification module, a dynamic dripping speed regulation module, a liquid abnormity detection module, an AR interaction control module and an alarm cooperative processing module are integrated. The intelligent and closed-loop infusion monitoring system is constructed, self-adaptive dripping speed adjustment based on the physiological state of the patient and the medicine characteristics is achieved, and the safety of infusion treatment is improved.

The invention relates to the technical field of infusion monitoring, in particular to a patient heart rate and infusion monitoring system based on wearable equipment, which comprises a physiological parameter acquisition module, a data trend analysis module, a risk judgment module, an abnormity early warning module and an equipment management module. According to the method, based on the blood oxygen change rate, the blood oxygen decrease trend is analyzed, the heart rate fluctuation condition is combined, dynamic evaluation of physiological parameters is achieved, the blood oxygen decrease rate, the heart rate mutation index and the mutation amplitude are integrated for comparison, the accuracy of infusion related risk judgment is improved, infusion abnormity is classified and managed by setting the risk level, and the accuracy of infusion risk judgment is improved. And corresponding emergency measures are taken in combination with preset rules, so that events of different risk levels can be effectively responded, intelligent analysis is performed on the infusion state in combination with the change trend of physiological parameters, infusion monitoring is not limited to flow velocity and liquid quantity levels, comprehensive judgment is performed in combination with the physiological status of a patient, and the accuracy of infusion monitoring is improved. And the comprehensiveness of abnormal recognition in the infusion process is improved.

In an infusion pump system that includes a pump that may have a user interface for pump programming, one or more smartphones or other remote control devices that interface with the infusion pump, and / or an automated insulin delivery algorithm, there is a potential conflict between commands such as boluses being programmed on multiple devices and / or calculated by the AID algorithm at the same time. In order to avoid low glucose levels that could result from delivering multiple boluses from these various sources when only one bolus is needed, systems and methods disclosed herein provide a bolus permissions and prioritization scheme that prioritizes boluses programmed with the infusion pump and one or more remote control devices and calculated by a closed loop delivery algorithm.

A CSF management method for use with a patient forms a closed loop CSF circuit between two points on the patient's body. The CSF circuit has a therapeutic inlet to receive a therapeutic material (e.g. a drug), and a pump having a pump outlet to direct CSF along the CSF circuit. The method controls the pump to direct CSF from the pump outlet at a CSF rate that is different from the natural flow rate (i.e., the natural CSF flow rate). The therapeutic material is added to the CSF via the therapeutic input at a therapeutic rate. The CSF rate is different than the therapeutic rate and / or may be greater than the therapeutic rate. Alternative methods may control a bolus drug infusion to localize the application to a target region.

Disclosed are techniques to establish a modified pump rate that mitigates the effects of a pump occlusion and enables a recommended dosage of insulin to be output by a pump mechanism over the course of a control cycle. In an example, the pump rate may be reduced by adding a calculated time interval between application of actuation commands to extend the amount of time over which insulin may be output by the pump mechanism.

An Adaptive Neuro-Fuzzy Inference System (ANFIS) for total intravenous anesthesia management is disclosed, enabling control over administration of anesthetic agents and dynamic adjustment according to patient physiological feedback. The system processes patient data, including processed EEG signals, hemodynamic information, capnography, and pulse oximetry, to facilitate real-time anesthetic dosage adjustments.

In an automated insulin delivery device, fuzzy logic may be applied to the responding to the possibility of a user taking additional action that may affect the blood glucose concentration. Fuzzy sets may be defined for empirically derived different likelihoods of the user taking such additional action based on correlated factors. A membership function may be provided for each fuzzy set. The membership function may provide a probability of membership in the set based on a parameter. Each fuzzy set may have a response that is reflective of the likelihood of additional user action associated with the fuzzy set. The responses by the AID device to each of these cases may reflect the probability of each such case occurring as evidenced by empirical data.

The invention discloses a real-time adjusting method for insulin infusion volume, which adopts a closed-loop control method, and dynamically adjusts the infusion volume of an insulin pump based on a comparison result of a predicted blood glucose parameter and a preset blood glucose range through collected blood glucose data and predicted future blood glucose data, thereby realizing more accurate blood glucose control. The invention further discloses a closed-loop infusion system designed based on the real-time adjustment method. The closed-loop infusion system comprises a controller, a blood glucose detection system, an insulin pump and a continuous glucose monitoring system. Compared with open-loop control, the closed-loop control can monitor the blood glucose level of the patient in real time and automatically adjust the insulin infusion amount according to real-time data, and the high-automation system can more accurately maintain the blood glucose within the target range and reduce blood glucose fluctuation. Moreover, the closed-loop control system reduces the requirements of patients or medical staff for manually calculating and adjusting the insulin dosage, so that personal errors are reduced, automatic adjustment can better adapt to individual differences and dynamic changes of the patients, the burden of the patients on blood glucose monitoring and insulin dosage adjustment is reduced, and the safety and effectiveness of treatment are improved.

Some embodiments of an infusion pump assembly may be equipped with one or more components to facilitate wireless operation of an infusion pump via a user-operated mobile device. In some embodiments, the mobile device and / or the infusion pump may prompt the user to confirm acceptance of a wirelessly communicated command to prevent an operation by the infusion pump (e.g., a dispensation of medicine) that is not desired by the user.

The invention relates to the field of intelligent control, and particularly discloses an anesthetic injection intelligent control system which predicts and generates personalized initial injection parameters by deeply integrating multi-source heterogeneous data such as patient individual information, surgical sites and anesthetic types. Through high-frequency collection of physiological and process signals such as tissue pressure and injection displacement, the system can accurately calculate the current actual pressure, the pressure change trend, the real-time flow rate and the total injected amount. The real-time monitoring data is continuously compared and evaluated with the generated personalized threshold value and the preset target so as to intelligently judge whether the current injection is smooth or not, whether abnormal resistance exists or not or whether the current injection is close to the target or not, and a mark reflecting the current injection state is generated according to the judgment result; and finally, the system dynamically adjusts the output of the injection pump according to the state flag in combination with a preset control logic and an optimization algorithm, and adaptively corrects the current target flow velocity.

The invention relates to the technical field of medical equipment remote upgrading, and discloses an insulin pump program remote upgrading system and method based on a 4G network and a TCP protocol, and the system comprises a server side which is used for storing and managing a firmware upgrading package, verifying an insulin pump terminal, issuing the firmware upgrading package, and monitoring the online state and upgrading progress of equipment, the upgrading module is used for verifying and upgrading based on an issued firmware upgrading package through a 4G network; the upgrading process control module is used for monitoring a terminal power supply and a transmission breakpoint of the insulin pump in the upgrading process; and a network performance optimization module. By introducing a RaptorQ algorithm, redundancy dynamic adjustment is realized, the problem of a small number of data packets is solved by using a small amount of redundancy in a relatively stable network environment, when the network environment is relatively poor, the redundancy is improved to 20%, a large number of abnormal data packets are recovered by using redundant packets, retransmission is reduced, the influence of network fluctuation on upgrading is reduced, and the reliability and stability of data transmission are improved.